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Wu P, Jin L, Jiang W, Zhou Y, Lin L, Lin H, Chen H. Smart bandages for wound monitoring and treatment. Biosens Bioelectron 2025; 283:117522. [PMID: 40334449 DOI: 10.1016/j.bios.2025.117522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2024] [Revised: 04/18/2025] [Accepted: 04/27/2025] [Indexed: 05/09/2025]
Abstract
Wound management plays a crucial role in nursing care as it facilitates effective wound healing and prevents infections. To overcome limitations associated with traditional treatment methods, various smart bandages have been developed. The monitoring of wound parameters and the implementation of targeted treatments are crucial aspects of smart bandage development. Smart bandages, as cutting-edge flexible wearable medical devices, integrate various sensing technologies, providing new insights for dynamic monitoring and personalized treatment of chronic wounds. This paper systematically summarizes the applications and developments of smart bandages in monitoring wound environmental parameters, focusing on two major detection methods: colorimetric sensing and electrochemical sensing. Colorimetric sensors typically rely on color changes induced by physiological parameters, which can not only be identified by the naked eye but also combined with image recognition algorithms for physiological parameter detection. Electrochemical sensors, on the other hand, modify electrodes with specific enzymes and detect physiological parameters through the electrical signals generated by redox reactions. In addition to sensing, this paper further explores the integrated application of three smart therapeutic strategies in smart bandages, including promoting cell proliferation and angiogenesis through electrical stimulation, achieving controlled drug release via responsive materials, and utilizing photothermal materials for efficient antibacterial treatment of wounds. Finally, the paper delves into the challenges these bandages face in system integration and clinical translation, and discusses their potential in personalized wound care.
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Affiliation(s)
- Ping Wu
- College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China
| | - Long Jin
- Department of Pathology, Fujian Provincial hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Wanying Jiang
- College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China
| | - Yingzhang Zhou
- College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China
| | - Lisheng Lin
- College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China
| | - Hongxin Lin
- College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, 350007, China.
| | - Hu Chen
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
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2
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Xie X, Zhu C, Zhao J, Fan Y, Lei H, Fan D. Combined treatment strategy of hydrogel dressing and physiotherapy for rapid wound healing. Adv Colloid Interface Sci 2025; 341:103477. [PMID: 40139070 DOI: 10.1016/j.cis.2025.103477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Revised: 01/17/2025] [Accepted: 03/18/2025] [Indexed: 03/29/2025]
Abstract
Wound care for open wounds is essential for reducing pain, protecting open wounds, speeding up the healing process and avoiding scar formation. Among the various three-dimensional (3D) carrier biomaterials such as films, sponges, and hydrogels, hydrogels are chemically and physically most similar to the natural extracellular matrix (ECM). Meanwhile, hydrogels are also common 3D carriers that can be efficiently loaded with drugs or cells. In addition, it forms a protective barrier on the wound surface to prevent secondary external infections and has the effect of directing skin cell expansion, tissue infiltration, and wound closure. However, the role of functional drugs in wound healing also faces a number of issues such as resistance, dosage, activity, and stability; therefore, a richer array of therapies is needed for wound repair and other areas of development. Physiotherapy, also known as nonpharmacological therapy, is a commonly used clinical treatment. Recently, more and more physiotherapy have been used for wound repair due to their high efficiency and low irritation. In recent reports, many researchers have tended to use hydrogel dressings in combination with physiotherapy, and this combination therapy is beneficial because it can both protect the wound microenvironment and accelerates wound healing. Therefore, this paper reviews the combined use of hydrogel dressings and physiotherapy in wound healing. We present the characteristics of hydrogel and physiotherapy and focus on the progress and problems of these two combined therapies in recent years.
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Affiliation(s)
- Xiaofei Xie
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Shaanxi Key Laboratory of Degradable Biomedical Materials and Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710127, China.
| | - Chenhui Zhu
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Shaanxi Key Laboratory of Degradable Biomedical Materials and Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710127, China.
| | - Jing Zhao
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Shaanxi Key Laboratory of Degradable Biomedical Materials and Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710127, China.
| | - Yanru Fan
- The College of Life Sciences, Northwest University, Xi'an 710069, China.
| | - Huan Lei
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Shaanxi Key Laboratory of Degradable Biomedical Materials and Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710127, China.
| | - Daidi Fan
- Engineering Research Center of Western Resource Innovation Medicine Green Manufacturing, Ministry of Education, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Shaanxi Key Laboratory of Degradable Biomedical Materials and Shaanxi R&D Center of Biomaterials and Fermentation Engineering, School of Chemical Engineering, Northwest University, Xi'an 710127, China; Biotech. & Biomed. Research Institute, Northwest University, Xi'an 710127, China.
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3
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Kumar M, Sethi P, Shiekmydeen J, Rastogi S, Mahmood S, Chopra S, Thomas S, Kumar D, Bhatia A. A recent review on smart sensor-integrated wound dressings: Real-time monitoring and on-demand therapeutic delivery. Int J Biol Macromol 2025; 313:144251. [PMID: 40381780 DOI: 10.1016/j.ijbiomac.2025.144251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2025] [Revised: 05/01/2025] [Accepted: 05/13/2025] [Indexed: 05/20/2025]
Abstract
Wound management is a critical aspect of healthcare, necessitating continuous monitoring and timely interventions to ensure optimal healing outcomes. In recent years, the integration of sensor technology into wound dressings has emerged as a transformative approach, enabling real-time monitoring of healing parameters and facilitating on-demand treatment delivery. Sensor-based wound dressings leverage various sensing modalities, including temperature, pH, moisture, oxygen, and other biochemical markers, to provide comprehensive insights into the wound microenvironment. These dressings are equipped with miniaturized sensors capable of transmitting the data wirelessly, facilitating remote monitoring and timely interventions. Moreover, some advanced dressings incorporate responsive drug delivery systems, enabling the on-demand release of therapeutics based on real-time sensor feedback. Additionally, the incorporation of on-demand treatment mechanisms allows targeted delivery of therapeutics based on the specific needs of the wound, further enhancing the efficacy of the healing process. This comprehensive approach improves patient outcomes by promoting faster and more effective wound healing and reducing the burden through streamlined monitoring and treatment protocols. This paper presents an overview of recent advancements in sensor technology applied to wound healing, focusing on their role in monitoring wound parameters and delivering targeted therapy. These sensors leverage temperature, pH, and glucose sensing modalities to provide comprehensive insights into the healing process.
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Affiliation(s)
- Mohit Kumar
- Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab 140401, India.
| | - Pranshul Sethi
- Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab 140401, India; Department of Pharmacology, College of Pharmacy, Shri Venkateshwara University, Gajraula, UP 244236, India
| | - Jailani Shiekmydeen
- Formulation R&D, Alpha Pharma Industries, King Abdullah Economic City (KAEC), Rabigh, Saudi Arabia
| | - Sonali Rastogi
- Chitkara College of Pharmacy, Chitkara University, Rajpura, Punjab 140401, India; Department of Pharmacology, College of Pharmacy, Shri Venkateshwara University, Gajraula, UP 244236, India
| | - Syed Mahmood
- Department of Pharmaceutical Technology, Faculty of Pharmacy, Universiti Malaya, 50603 Kuala Lumpur, Malaysia; Faculty of Pharmaceutical Sciences, Chulalongkorn University, 10330, PathumWan, Bangkok, Thailand
| | - Shruti Chopra
- Department of Pharmaceutical Sciences and Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, 151001, India
| | - Sabu Thomas
- IIUCNN, Mahatma Gandhi University, Kottayam, Kerala, India
| | - Devesh Kumar
- Institute of Pharmaceutical Research, GLA University, Mathura 281 406, U. P., India
| | - Amit Bhatia
- Department of Pharmaceutical Sciences and Technology, Maharaja Ranjit Singh Punjab Technical University, Bathinda, Punjab, 151001, India.
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4
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Wang C, Guo J, Zhang J, Hou C, Xue Y, Han X, Chen Y, Wang M, Ma Q, Lu X. Molecular-Level Strategy from Bottom-Up to Acquire High-Efficiency Antimicrobial Peptides. J Med Chem 2025. [PMID: 40408153 DOI: 10.1021/acs.jmedchem.5c00567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/25/2025]
Abstract
The escalating threat of multidrug-resistant pathogens necessitates efficient antimicrobial development, in which antimicrobial peptides (AMPs) have been extensively studied due to their broad-spectrum antibiotic activity. Combining sum frequency generation and molecular dynamics simulation, we rationally designed AMPs by identifying two structural principles. Simply increasing the number of basic amino acids does not reliably improve antimicrobial efficacy; terminal (N' and C') phenylalanine residues can enhance AMP's membrane interfacial activity via the hydrophobic effect. After two rounds of sequence optimization, among the derivatives we designed, an artificial AMP named GF demonstrated superior membrane binding (especially insertion) and spatial conformation stability. In vitro and in vivo evaluations revealed GF's potential broad-spectrum efficacy against common bacteria and drug-resistant bacteria. Notably, GF exhibited enhanced antimicrobial potency over conventional antibiotics at lower concentrations. Our study established a bottom-up (mechanism-driven) design framework and provided a template for developing precision antimicrobials against resistant infections.
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Affiliation(s)
- Chu Wang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Jingyao Guo
- Department of General Dentistry, The Affiliated Stomatological Hospital of Nanjing Medical University; State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Jiaming Zhang
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Chenxi Hou
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yunmo Xue
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Xiaofeng Han
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Yan Chen
- Department of General Dentistry, The Affiliated Stomatological Hospital of Nanjing Medical University; State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Mingxin Wang
- Department of General Dentistry, The Affiliated Stomatological Hospital of Nanjing Medical University; State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Qian Ma
- Department of General Dentistry, The Affiliated Stomatological Hospital of Nanjing Medical University; State Key Laboratory Cultivation Base of Research, Prevention and Treatment for Oral Diseases; Jiangsu Province Engineering Research Center of Stomatological Translational Medicine, Nanjing 210029, China
| | - Xiaolin Lu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
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5
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Qian X, Chen Z, Zhang F, Yan Z. Electrochemically Active Materials for Tissue-Interfaced Soft Biochemical Sensing. ACS Sens 2025; 10:3274-3301. [PMID: 40256874 DOI: 10.1021/acssensors.5c00029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2025]
Abstract
Tissue-interfaced soft biochemical sensing represents a crucial approach to personalized healthcare by employing electrochemically active materials to monitor biochemical signals at the tissue interface in real time, either noninvasively or through implantation. These soft biochemical sensors can be integrated with various biological tissues, such as neural, gastrointestinal, ocular, cardiac, skin, muscle, and bone, adapting to their unique mechanical and biochemical environments. Sensors employing materials like conductive polymers, composites, metals, metal oxides, and carbon-based nanomaterials have demonstrated capabilities in applications, such as continuous glucose monitoring, neural activity mapping, and real-time metabolite detection, enhancing diagnostics and treatment monitoring across a range of medical fields. Next-generation tissue-interfaced biosensors that enable multimodal and multiplexed measurement of biochemical markers and physiological parameters could be transformative for personalized medicine, allowing for high-resolution, time-resolved historical monitoring of an individual's health status. In this review, we summarize current trends in the field to provide insights into the challenges and future trajectory of tissue-interfaced soft biochemical sensors, highlighting their potential to revolutionize personalized medicine and improve patient outcomes.
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Affiliation(s)
- Xiaoyan Qian
- Department of Chemical and Biomedical Engineering, University of Missouri, Columbia, Missouri 65211, United States
| | - Zehua Chen
- Department of Chemical and Biomedical Engineering, University of Missouri, Columbia, Missouri 65211, United States
| | - Feng Zhang
- Department of Chemical and Biomedical Engineering, University of Missouri, Columbia, Missouri 65211, United States
| | - Zheng Yan
- Department of Chemical and Biomedical Engineering, University of Missouri, Columbia, Missouri 65211, United States
- Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, Missouri 65211, United States
- NextGen Precision Health, University of Missouri, Columbia, Missouri 65211, United States
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6
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Ma H, Qiu C, Bao J, Jiang Y, Wang H, Zhang W, Zhao Q, Zhang Z, Tao H, Lu X, Zhang N, Zhu N. NIR-Induced Power-Effective Smart Bandage for Wound Infection Monitoring and Accelerated Healing. NANO LETTERS 2025; 25:8203-8210. [PMID: 40354180 DOI: 10.1021/acs.nanolett.5c01255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2025]
Abstract
An advanced bandage integrating sensing and therapeutic components for effective physiological monitoring and treatment presents promising potential for chronic wound healing. However, functional components in most bandages are integrated by wires, limiting the wearer's comfort of a soft-hard interface. Herein, a biocompatible smart flexible bandage, containing a reduced graphene oxide/polyacrylamide hydrogel (rGO/PAM Gel) therapeutic dressing and Au/rGO modified biosensor, has been designed. Owing to the photothermal capability of rGO/PAM Gel, the local temperature of the bandage significantly increased under NIR irradiation. High temperature accelerates infected wound healing by killing bacteria, while the bandage sensors enhance biomarker detection. Enriched target molecules and enhanced photo-electrocatalytic activity acquire high sensing performance. Moreover, in situ animal studies demonstrate that a smart wearable bandage could effectively monitor wound exudate biomarkers (i.e., uric acid) and accelerate healing with maximum light energy efficiency. This work provides a power-efficient approach to facilitate the immediate clinical intervention of wound care management.
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Affiliation(s)
- Hongting Ma
- Central Hospital of Dalian University of Technology, School of Chemistry, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - ChengZe Qiu
- Affiliated Xinhua Hospital of Dalian University, Dalian, Liaoning 116024, China
| | - Jinhui Bao
- State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Yue Jiang
- Central Hospital of Dalian University of Technology, School of Chemistry, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Haocheng Wang
- Affiliated Xinhua Hospital of Dalian University, Dalian, Liaoning 116024, China
| | - Wenrui Zhang
- Central Hospital of Dalian University of Technology, School of Chemistry, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Qian Zhao
- Central Hospital of Dalian University of Technology, School of Chemistry, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Zhouxiaolong Zhang
- Central Hospital of Dalian University of Technology, School of Chemistry, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Huannuo Tao
- Central Hospital of Dalian University of Technology, School of Chemistry, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Xiaolong Lu
- State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Nan Zhang
- Affiliated Xinhua Hospital of Dalian University, Dalian, Liaoning 116024, China
| | - Nan Zhu
- Central Hospital of Dalian University of Technology, School of Chemistry, Dalian University of Technology, Dalian, Liaoning 116024, China
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7
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Romanholo PVV, Andrade LM, Giglioti M, Luccas GZA, Machado SAS, Sgobbi LF. Parallel assembly of dual-electrochemical cell: a novel approach for simultaneous multiplexed sensing analysis. Mikrochim Acta 2025; 192:340. [PMID: 40328952 DOI: 10.1007/s00604-025-07194-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2025] [Accepted: 04/25/2025] [Indexed: 05/08/2025]
Abstract
In the field of biosensing and chemical sensing, there is a growing demand for multiplexed detection and quantification of multiple targets within complex matrices. In electrochemical sensing, simultaneous multiplexed analysis is typically performed with multiple electrodes connected to a multichannel potentiostat. An alternative strategy involves using a single electrode capable of discriminating and detecting several analytes in a single measurement, which is, however, unfortunately limited to a selective group of molecules. Herein, we report a novel electrochemical method based on the parallel assembly of a dual-electrochemical cell (PADEC), which enables the simultaneous detection and quantification of solvent-incompatible analytes, prepared separately in two distinct electrochemical cells, using a single-channel potentiostat-thus achieving multichannel-like performance. This approach relies on connecting two electrochemical cells in parallel, allowing the concurrent measurement of distinct electrochemical responses from analytes that otherwise could not be simultaneously determined due to solvent incompatibility. As a proof of concept, the water-soluble vitamin C, and the lipid-soluble vitamin D3 were simultaneously determined, each in its respective optimized medium. The PADEC approach demonstrated performance comparable to individual detection methods, achieving limits of detection of 27 μM for vitamin C and 32 μM for vitamin D3 over a linear range of 20-400 μM. This strategy establishes a new approach for simultaneous, multiplexed electrochemical determination of analytes in different media. Moreover, this innovation may extend applications in electrochemistry beyond (bio)sensing to include areas such as electrocatalysis, energy and corrosion, potentially reducing dependence on multichannel potentiostats.
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Affiliation(s)
- Pedro V V Romanholo
- Instituto de Química, Universidade Federal de Goiás, Goiânia, 74690-900, GO, Brazil
| | - Larissa M Andrade
- Instituto de Química, Universidade Federal de Goiás, Goiânia, 74690-900, GO, Brazil
| | - Marcelo Giglioti
- Metrohm Brasil Instrumentação Analítica Ltda, São Paulo, 05007-030, SP, Brazil
| | | | - Sergio A S Machado
- Instituto de Química de São Carlos, Universidade de São Paulo, São Carlos, 13566-590, SP, Brazil
| | - Livia F Sgobbi
- Instituto de Química, Universidade Federal de Goiás, Goiânia, 74690-900, GO, Brazil.
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8
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Chen S, Fan S, Qiao Z, Wu Z, Lin B, Li Z, Riegler MA, Wong MYH, Opheim A, Korostynska O, Nielsen KM, Glott T, Martinsen ACT, Telle-Hansen VH, Lim CT. Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2025; 37:e2500412. [PMID: 40167502 DOI: 10.1002/adma.202500412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Revised: 03/14/2025] [Indexed: 04/02/2025]
Abstract
Intelligent wearable sensors, empowered by machine learning and innovative smart materials, enable rapid, accurate disease diagnosis, personalized therapy, and continuous health monitoring without disrupting daily life. This integration facilitates a shift from traditional, hospital-centered healthcare to a more decentralized, patient-centric model, where wearable sensors can collect real-time physiological data, provide deep analysis of these data streams, and generate actionable insights for point-of-care precise diagnostics and personalized therapy. Despite rapid advancements in smart materials, machine learning, and wearable sensing technologies, there is a lack of comprehensive reviews that systematically examine the intersection of these fields. This review addresses this gap, providing a critical analysis of wearable sensing technologies empowered by smart advanced materials and artificial Intelligence. The state-of-the-art smart materials-including self-healing, metamaterials, and responsive materials-that enhance sensor functionality are first examined. Advanced machine learning methodologies integrated into wearable devices are discussed, and their role in biomedical applications is highlighted. The combined impact of wearable sensors, empowered by smart materials and machine learning, and their applications in intelligent diagnostics and therapeutics are also examined. Finally, existing challenges, including technical and compliance issues, information security concerns, and regulatory considerations are addressed, and future directions for advancing intelligent healthcare are proposed.
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Affiliation(s)
- Shuwen Chen
- Institute of Medical Equipment Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Shicheng Fan
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Zheng Qiao
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Zixiong Wu
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Baobao Lin
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Zhijie Li
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Michael A Riegler
- Simula Metropolitan Center for Digital Engineering, Oslo, 0167, Norway
| | | | - Arve Opheim
- Sunnaas Rehabilitation Hospital, Bjoernemyr, 1453, Norway
- Institute of Neuroscience and Physiology, Unit for Rehabilitation Medicine, University of Gothenburg, Gothenburg, 413 45, Sweden
| | - Olga Korostynska
- Department of Mechanical, Electronic and Chemical Engineering (MEK), Faculty of Technology, Art, and Design, TKD, Oslo Metropolitan University, OsloMet, Oslo, 0166, Norway
| | - Kaare Magne Nielsen
- Department of Life Science and Health, Faculty of Health Sciences, Oslo Metropolitan University, OsloMet, Oslo, 0130, Norway
- Intelligent Health, Faculty of Health Sciences and Faculty of Technology, Art and Design, Oslo Metropolitan University, OsloMet, Oslo, 0130, Norway
| | - Thomas Glott
- Sunnaas Rehabilitation Hospital, Bjoernemyr, 1453, Norway
| | - Anne Catrine T Martinsen
- Sunnaas Rehabilitation Hospital, Bjoernemyr, 1453, Norway
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, OsloMet, Oslo, 0130, Norway
| | - Vibeke H Telle-Hansen
- Intelligent Health, Faculty of Health Sciences and Faculty of Technology, Art and Design, Oslo Metropolitan University, OsloMet, Oslo, 0130, Norway
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, OsloMet, Oslo, 0130, Norway
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, 119276, Singapore
- Mechanobiology Institute, National University of Singapore, Singapore, 117411, Singapore
- Institute for Functional Intelligent Materials, National University of Singapore, Singapore, 117544, Singapore
- SIA-NUS Digital Aviation Corp Lab, National University of Singapore, Singapore, 117602, Singapore
- Institute for Digital Molecular Analytics and Science, Nanyang Technological University, Singapore, 636921, Singapore
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9
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Armstrong DG, Najafi B, Gao W, Klonoff DC, Liu C. Repair, Regeneration, and Replacement, Revisited (Redux). J Diabetes Sci Technol 2025; 19:605-610. [PMID: 40088132 PMCID: PMC11910732 DOI: 10.1177/19322968251326906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2025]
Affiliation(s)
- David G. Armstrong
- Department of Surgery, Southwestern Academic Limb Salvage Alliance, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Neurosurgery, USC Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA
| | - Bijan Najafi
- Department of Surgery, Center for Advanced Surgical & Interventional Technology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Wei Gao
- Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
| | - Charles Liu
- Department of Neurosurgery, USC Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Rancho Los Amigos National Rehabilitation Center, Downey, CA, USA
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10
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Li Z, Sun L, Tan Y, Wang Z, Yang X, Huang T, Li J, Zhang Y, Guan B. Flexible Optoelectronic Hybrid Microfiber Long-period Grating Multimodal Sensor. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2501352. [PMID: 40056056 PMCID: PMC12061331 DOI: 10.1002/advs.202501352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Revised: 02/23/2025] [Indexed: 05/10/2025]
Abstract
Flexible wearable biosensors have emerged as a promising tool for tracking dynamic glycemic profiles of human body in diabetes management. However, it remains a challenge to balance the shrunken device space and multiple redundant sensing arrays for further advancement in miniaturization of multimodal sensors. Herein, this work proposes an entirely new optoelectronic hybrid multimodal optical fiber sensor which is composed of laser patterning of polydimethylsiloxane (PDMS) to form laser-induced graphene (LIG) as the interdigital electrodes, and a long period grating (LPG) prepared from an optical microfiber encapsulated into the PDMS modulated by periodical structure of LIG electrodes. This operation can simultaneously integrate two heterogeneous sensing mechanisms, optical and electrical, into a single sensor in a compact manner. Combining the LIG electrode with conductive hydrogel, a flexible glucose biosensor based on electrical mechanism is constructed by loading glucose oxidase into the hydrogel. Meanwhile, the microfiber LPG can also be served as a spectroscopically available sensor for biomechanical monitoring. Optical and electrical sensors can work simultaneously but independently of each other, particularly in the scene of wound healing for rat model and movement for human exercise. This platform represents a pivotal step toward multifunctional sensors that enable measurements of biomechanical information and glucose.
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Affiliation(s)
- Zhenru Li
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and CommunicationsInstitute of Photonics TechnologyCollege of Physics & Optoelectronic EngineeringJinan UniversityGuangzhou510632China
| | - Li‐Peng Sun
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and CommunicationsInstitute of Photonics TechnologyCollege of Physics & Optoelectronic EngineeringJinan UniversityGuangzhou510632China
| | - Yanzhen Tan
- School of Electronic Engineering and IntelligentizationDongguan University of TechnologyDongguan523808China
| | - Zhiwei Wang
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and CommunicationsInstitute of Photonics TechnologyCollege of Physics & Optoelectronic EngineeringJinan UniversityGuangzhou510632China
| | - Xiao Yang
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and CommunicationsInstitute of Photonics TechnologyCollege of Physics & Optoelectronic EngineeringJinan UniversityGuangzhou510632China
| | - Tiansheng Huang
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and CommunicationsInstitute of Photonics TechnologyCollege of Physics & Optoelectronic EngineeringJinan UniversityGuangzhou510632China
| | - Jie Li
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and CommunicationsInstitute of Photonics TechnologyCollege of Physics & Optoelectronic EngineeringJinan UniversityGuangzhou510632China
| | - Yi Zhang
- Key Laboratory of Biomaterials of Guangdong Higher Education InstitutesDepartment of Biomedical EngineeringJinan UniversityGuangzhou510632China
| | - Bai‐Ou Guan
- Guangdong Provincial Key Laboratory of Optical Fiber Sensing and CommunicationsInstitute of Photonics TechnologyCollege of Physics & Optoelectronic EngineeringJinan UniversityGuangzhou510632China
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11
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Wu X, Ye Y, Sun M, Mei Y, Ji B, Wang M, Song E. Recent Progress of Soft and Bioactive Materials in Flexible Bioelectronics. CYBORG AND BIONIC SYSTEMS 2025; 6:0192. [PMID: 40302943 PMCID: PMC12038164 DOI: 10.34133/cbsystems.0192] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 08/22/2024] [Accepted: 09/22/2024] [Indexed: 05/02/2025] Open
Abstract
Materials that establish functional, stable interfaces to targeted tissues for long-term monitoring/stimulation equipped with diagnostic/therapeutic capabilities represent breakthroughs in biomedical research and clinical medicine. A fundamental challenge is the mechanical and chemical mismatch between tissues and implants that ultimately results in device failure for corrosion by biofluids and associated foreign body response. Of particular interest is in the development of bioactive materials at the level of chemistry and mechanics for high-performance, minimally invasive function, simultaneously with tissue-like compliance and in vivo biocompatibility. This review summarizes the most recent progress for these purposes, with an emphasis on material properties such as foreign body response, on integration schemes with biological tissues, and on their use as bioelectronic platforms. The article begins with an overview of emerging classes of material platforms for bio-integration with proven utility in live animal models, as high performance and stable interfaces with different form factors. Subsequent sections review various classes of flexible, soft tissue-like materials, ranging from self-healing hydrogel/elastomer to bio-adhesive composites and to bioactive materials. Additional discussions highlight examples of active bioelectronic systems that support electrophysiological mapping, stimulation, and drug delivery as treatments of related diseases, at spatiotemporal resolutions that span from the cellular level to organ-scale dimension. Envisioned applications involve advanced implants for brain, cardiac, and other organ systems, with capabilities of bioactive materials that offer stability for human subjects and live animal models. Results will inspire continuing advancements in functions and benign interfaces to biological systems, thus yielding therapy and diagnostics for human healthcare.
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Affiliation(s)
- Xiaojun Wu
- Institute of Optoelectronics & Department of Materials Science, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, State Key Laboratory of Integrated Chips and Systems (SKLICS),
Fudan University, Shanghai 200438, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, State Key Laboratory of Molecular Engineering of Polymer,
Fudan University, Shanghai 200438, China
| | - Yuanming Ye
- Unmanned System Research Institute, National Key Laboratory of Unmanned Aerial Vehicle Technology, Integrated Research and Development Platform of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi’an 710072, China
- Queen Mary University of London Engineering School, Northwestern Polytechnical University, Xi’an 710072, China
| | - Mubai Sun
- Institute of Optoelectronics & Department of Materials Science, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, State Key Laboratory of Integrated Chips and Systems (SKLICS),
Fudan University, Shanghai 200438, China
- Institute of Agro-food Technology, Jilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Changchun, China
| | - Yongfeng Mei
- Institute of Optoelectronics & Department of Materials Science, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, State Key Laboratory of Integrated Chips and Systems (SKLICS),
Fudan University, Shanghai 200438, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, State Key Laboratory of Molecular Engineering of Polymer,
Fudan University, Shanghai 200438, China
- International Institute for Intelligent Nanorobots and Nanosystems,
Neuromodulation and Brain-machine-interface Centre, Fudan University, Shanghai 200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang 322000, China
| | - Bowen Ji
- Unmanned System Research Institute, National Key Laboratory of Unmanned Aerial Vehicle Technology, Integrated Research and Development Platform of Unmanned Aerial Vehicle Technology, Northwestern Polytechnical University, Xi’an 710072, China
| | - Ming Wang
- Institute of Optoelectronics & Department of Materials Science, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, State Key Laboratory of Integrated Chips and Systems (SKLICS),
Fudan University, Shanghai 200438, China
- Frontier Institute of Chip and System,
Fudan University, Shanghai 200433, China
| | - Enming Song
- Institute of Optoelectronics & Department of Materials Science, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, State Key Laboratory of Integrated Chips and Systems (SKLICS),
Fudan University, Shanghai 200438, China
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, State Key Laboratory of Molecular Engineering of Polymer,
Fudan University, Shanghai 200438, China
- International Institute for Intelligent Nanorobots and Nanosystems,
Neuromodulation and Brain-machine-interface Centre, Fudan University, Shanghai 200438, China
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12
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Deng W, Sun M, Cao M, Ma CB, Bo X, Bai J, Zhou M. A Fully Integrated Wearable Biomimetic Microfluidic Wound Tracker for In Situ Dynamic Monitoring of Wound Exudate Oxygen. ACS NANO 2025; 19:16163-16174. [PMID: 40241328 DOI: 10.1021/acsnano.5c04304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2025]
Abstract
Wearable wound exudate sensors hold great promise for providing dynamic measurements of valuable biomarkers. However, no existing sensors are able to achieve the fully integrated, skin-on, and dynamic detection of raw wound exudate oxygen (O2), which is closely related to wound conditions and also essential for wound healing. Here, we report a fully integrated wearable biomimetic microfluidic wound tracker, capable of skin-on biomimetic microfluidic wound exudate sampling, dynamic monitoring of wound exudate O2 in addition to wound exudate uric acid, lactate, pH, and temperature, and wireless control through the seamless integration of specially designed microfluidic, sensing, and electronic modules. We test the performance of the device in both bacterium-inoculated and uninoculated wounds using mouse models. We further assess its potential for wound management in the healing process of infected diabetic mouse wounds through controlled experiments related to local hyperbaric O2 treatment.
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Affiliation(s)
- Wei Deng
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Mimi Sun
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Mengzhu Cao
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Chong-Bo Ma
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Xiangjie Bo
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Jing Bai
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Ming Zhou
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
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13
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Qiu X, Xiang F, Liu H, Zhan F, Liu X, Bu P, Zhou B, Duan Q, Ji M, Feng Q. Electrical hydrogel: electrophysiological-based strategy for wound healing. Biomater Sci 2025; 13:2274-2296. [PMID: 40131331 DOI: 10.1039/d4bm01734j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2025]
Abstract
Wound healing remains a significant challenge in clinical practice, driving ongoing exploration of innovative therapeutic approaches. In recent years, electrophysiological-based wound healing strategies have gained considerable attention. Specifically, electrical hydrogels combine the synergistic effects of electrical stimulation and hydrogel properties, offering a range of functional benefits for wound healing, including antibacterial activity, real-time wound monitoring, controlled drug release, and electrical treatment. Despite significant progress made in electrical hydrogel research for wound healing, there is a lack of comprehensive, systematic reviews summarizing this field. In this review, we survey the latest advancements in electrical hydrogel technology. After analyzing the mechanisms of electrical stimulation in promoting wound healing, we establish a novel classification framework for electrical hydrogels based on their operational principles. The review further provides an in-depth evaluation of the therapeutic efficacy of these hydrogels in various types of wounds. Finally, we propose future directions and challenges for the development of electrical hydrogels for wound healing.
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Affiliation(s)
- Xingan Qiu
- Department of Orthopedics, Chongqing University Three Gorges Hospital, Chongqing 404010, China.
- School of Medicine, Chongqing University, Chongqing 404010, China
| | - Feng Xiang
- Key laboratory of Biorheological Science and Technology, Ministry of Educations, Collage of Bioengineering, Chongqing University, Chongqing 400044, China.
| | - Hong Liu
- Department of Orthopedics, Chongqing University Three Gorges Hospital, Chongqing 404010, China.
- School of Medicine, Chongqing University, Chongqing 404010, China
| | - Fangbiao Zhan
- Department of Orthopedics, Chongqing University Three Gorges Hospital, Chongqing 404010, China.
- School of Medicine, Chongqing University, Chongqing 404010, China
| | - Xuezhe Liu
- Key laboratory of Biorheological Science and Technology, Ministry of Educations, Collage of Bioengineering, Chongqing University, Chongqing 400044, China.
| | - Pengzhen Bu
- Key laboratory of Biorheological Science and Technology, Ministry of Educations, Collage of Bioengineering, Chongqing University, Chongqing 400044, China.
| | - Bikun Zhou
- Key laboratory of Biorheological Science and Technology, Ministry of Educations, Collage of Bioengineering, Chongqing University, Chongqing 400044, China.
| | - Qiaojian Duan
- Key laboratory of Biorheological Science and Technology, Ministry of Educations, Collage of Bioengineering, Chongqing University, Chongqing 400044, China.
| | - Ming Ji
- Department of Orthopedics, Chongqing University Three Gorges Hospital, Chongqing 404010, China.
- School of Medicine, Chongqing University, Chongqing 404010, China
| | - Qian Feng
- Key laboratory of Biorheological Science and Technology, Ministry of Educations, Collage of Bioengineering, Chongqing University, Chongqing 400044, China.
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14
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Wang C, Fan K, Shirzaei Sani E, Lasalde-Ramírez JA, Heng W, Min J, Solomon SA, Wang M, Li J, Han H, Kim G, Shin S, Seder A, Shih CD, Armstrong DG, Gao W. A microfluidic wearable device for wound exudate management and analysis in human chronic wounds. Sci Transl Med 2025; 17:eadt0882. [PMID: 40267213 DOI: 10.1126/scitranslmed.adt0882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Revised: 12/04/2024] [Accepted: 04/03/2025] [Indexed: 04/25/2025]
Abstract
Chronic wounds are a major global health challenge associated with substantial economic burden and a negative impact on patient quality of life. Real-time analysis of biomarkers like reactive oxygen and nitrogen species could guide treatment, but existing systems lack the capacity required for continuous monitoring. Wound exudate is secreted slowly and has a complex composition, making efficient fluid collection and real-time analysis challenging. To address these issues, we introduce iCares, a wearable device for wound exudate management and continuous in situ analysis of wound biomarkers. iCares contains a flexible nanoengineered sensor array that measures reactive species such as NO, H2O2, and O2, along with pH and temperature, providing multiparameter data to inform wound status. The device features pump-free triad microfluidic modules with a superhydrophobic-superhydrophilic Janus membrane, bioinspired wedge channels, and three-dimensional graded micropillars for efficient unidirectional exudate collection, transport, and refreshing. The sensors demonstrated a consistent response and analyte selectivity in vitro and in wound exudate. iCares was designed for rapid scalable manufacturing through advanced printing and laser patterning. Wireless connectivity supported long-term continuous monitoring in wounds. The iCares system real-time monitoring was tested in a murine model of diabetic skin wound during infection and antimicrobial treatment. Clinical wound evaluation was conducted in 20 patients with chronic wounds and in two patients before and after surgery. A machine learning analysis of the multiplexed data successfully classified wounds and healing times, indicating that wound exudate analysis by iCares could offer insight into chronic wound status to aid in treatment decisions.
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Affiliation(s)
- Canran Wang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Kexin Fan
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Ehsan Shirzaei Sani
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
- Department of Materials Science and Engineering, University of Central Florida, Orlando, FL 32816, USA
| | - José A Lasalde-Ramírez
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Wenzheng Heng
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Jihong Min
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Samuel A Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Minqiang Wang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Jiahong Li
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Hong Han
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Gwangmook Kim
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Soyoung Shin
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Alex Seder
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
| | - Chia-Ding Shih
- Southwestern Academic Limb Salvage Alliance (SALSA), Department of Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
- Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA
| | - David G Armstrong
- Southwestern Academic Limb Salvage Alliance (SALSA), Department of Surgery, Keck School of Medicine of the University of Southern California, Los Angeles, CA 90033, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
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15
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Wang J, Ye J, Li Z, Li X, Luo Y, Zhou Z, Liu C, Xu T, Zhang X. An Integrated Janus Bioelectronic Bandage for Unidirectional Pumping and Monitoring of Wound Exudate. NANO LETTERS 2025; 25:5156-5164. [PMID: 40119807 DOI: 10.1021/acs.nanolett.4c06147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/24/2025]
Abstract
Single-functional wound dressings provide limited therapeutic benefits for chronic wound healing. Effective care for chronic wounds requires a multifunction that integrates exudate management, therapeutic treatment, and continuous monitoring. Here, we introduce an integrated Janus bioelectronic wound care bandage designed to achieve self-pumping exudate management via an electrospinning Janus dressing with opposite wettability, antibacterial properties through silver nanoparticles (AgNPs), and the monitoring of multiplex biomarkers in wounds via electrochemical sensors positioned on the drainage side. The limits of detection (LOD) of sensors are 0.15 mM for glucose, 6.85 μM for UA, and 60.76 mV/decade for pH (4-8), respectively. We demonstrated in mice full-thickness wound models that this bandage effectively promoted wound healing, achieving a wound closure rate of 90.35% on day 14, and monitored the dynamic changes of three biomarkers within wounds in situ over a period of 3 days.
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Affiliation(s)
- Jing Wang
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Jintao Ye
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Zhuoheng Li
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Xinwang Li
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Yong Luo
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
- Beijing Key Laboratory for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing 100083, PR China
| | - Zhongzeng Zhou
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Conghui Liu
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Tailin Xu
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Xueji Zhang
- College of Chemistry and Environmental Engineering, Synthetic Biology Research Center of Shenzhen University, Institute for Advanced Study, Shenzhen University, Shenzhen, Guangdong 518060, PR China
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16
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Li Y, Song S, Song J, Gong R, Abbas G. Electrochemical pH Sensor Incorporated Wearables for State-of-the-Art Wound Care. ACS Sens 2025; 10:1690-1708. [PMID: 40036348 DOI: 10.1021/acssensors.4c03408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2025]
Abstract
Nonhealing chronic wounds pose severe physiological and psychological distress to patients, making them a significant concern for global public health. Effective wound management strategies assisted by smart wearable pH monitoring have the potential to substantially alleviate both social and economic burdens. The pH of the wound exudate serves as a valuable indicator for predicting infections and assessing the healing status of wounds. This review comprehensively summarizes fundamental aspects related to wound pH, with a particular emphasis on the relationships between pH and healing status, infections, and other biochemical parameters that are crucial for wound health. It systematically discusses advancements in electrochemical pH sensors specifically designed for wearable devices, emphasizing their core performance in the care of chronic wounds. Additionally, the review outlines the challenges faced by this field and suggests future directions for research and development.
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Affiliation(s)
- Yiwei Li
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China
| | - Shibo Song
- Endoscopy Center, Peking University First Hospital, Beijing 100034, China
| | - Jin Song
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250103, China
| | - Rui Gong
- Faculty of Synthetic Biology, Shenzhen University of Advanced Technology, Shenzhen 518107, China
| | - Ghulam Abbas
- Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
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17
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Linh VTN, Han S, Koh E, Kim S, Jung HS, Koo J. Advances in wearable electronics for monitoring human organs: Bridging external and internal health assessments. Biomaterials 2025; 314:122865. [PMID: 39357153 DOI: 10.1016/j.biomaterials.2024.122865] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 09/06/2024] [Accepted: 09/26/2024] [Indexed: 10/04/2024]
Abstract
Devices used for diagnosing disease are often large, expensive, and require operation by trained professionals, which can result in delayed diagnosis and missed opportunities for timely treatment. However, wearable devices are being recognized as a new approach to overcoming these difficulties, as they are small, affordable, and easy to use. Recent advancements in wearable technology have made monitoring information possible from the surface of organs like the skin and eyes, enabling accurate diagnosis of the user's internal status. In this review, we categorize the body's organs into external (e.g., eyes, oral cavity, neck, and skin) and internal (e.g., heart, brain, lung, stomach, and bladder) organ systems and introduce recent developments in the materials and designs of wearable electronics, including electrochemical and electrophysiological sensors applied to each organ system. Further, we explore recent innovations in wearable electronics for monitoring of deep internal organs, such as the heart, brain, and nervous system, using ultrasound, electrical impedance tomography, and temporal interference stimulation. The review also addresses the current challenges in wearable technology and explores future directions to enhance the effectiveness and applicability of these devices in medical diagnostics. This paper establishes a framework for correlating the design and functionality of wearable electronics with the physiological characteristics and requirements of various organ systems.
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Affiliation(s)
- Vo Thi Nhat Linh
- Advanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea
| | - Seunghun Han
- School of Biomedical Engineering, College of Health Science, Korea University, Seoul, 02841, South Korea; Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, South Korea
| | - Eunhye Koh
- Advanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea
| | - Sumin Kim
- School of Biomedical Engineering, College of Health Science, Korea University, Seoul, 02841, South Korea; Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, South Korea
| | - Ho Sang Jung
- Advanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea; Advanced Materials Engineering, University of Science and Technology (UST), Daejeon, 34113, South Korea; School of Convergence Science and Technology, Medical Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea.
| | - Jahyun Koo
- School of Biomedical Engineering, College of Health Science, Korea University, Seoul, 02841, South Korea; Interdisciplinary Program in Precision Public Health, Korea University, Seoul, 02841, South Korea.
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18
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Hong S, Yu T, Wang Z, Lee CH. Biomaterials for reliable wearable health monitoring: Applications in skin and eye integration. Biomaterials 2025; 314:122862. [PMID: 39357154 PMCID: PMC11787905 DOI: 10.1016/j.biomaterials.2024.122862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 09/22/2024] [Accepted: 09/26/2024] [Indexed: 10/04/2024]
Abstract
Recent advancements in biomaterials have significantly impacted wearable health monitoring, creating opportunities for personalized and non-invasive health assessments. These developments address the growing demand for customized healthcare solutions. Durability is a critical factor for biomaterials in wearable applications, as they must withstand diverse wearing conditions effectively. Therefore, there is a heightened focus on developing biomaterials that maintain robust and stable functionalities, essential for advancing wearable sensing technologies. This review examines the biomaterials used in wearable sensors, specifically those interfaced with human skin and eyes, highlighting essential strategies for achieving long-lasting and stable performance. We specifically discuss three main categories of biomaterials-hydrogels, fibers, and hybrid materials-each offering distinct properties ideal for use in durable wearable health monitoring systems. Moreover, we delve into the latest advancements in biomaterial-based sensors, which hold the potential to facilitate early disease detection, preventative interventions, and tailored healthcare approaches. We also address ongoing challenges and suggest future directions for research on material-based wearable sensors to encourage continuous innovation in this dynamic field.
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Affiliation(s)
- Seokkyoon Hong
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Tianhao Yu
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Ziheng Wang
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA
| | - Chi Hwan Lee
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, 47907, USA; School of Mechanical Engineering, Purdue University, West Lafayette, IN, 47907, USA; Center for Implantable Devices, Purdue University, West Lafayette, IN, 47907, USA; School of Materials Engineering, Purdue University, West Lafayette, IN, 47907, USA; Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
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19
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Yan R, Zhang X, Wang H, Wang T, Ren G, Sun Q, Liang F, Zhu Y, Huang W, Yu HD. Autonomous, Moisture-Driven Flexible Electrogenerative Dressing for Enhanced Wound Healing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2025; 37:e2418074. [PMID: 39962841 DOI: 10.1002/adma.202418074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Revised: 01/19/2025] [Indexed: 03/27/2025]
Abstract
Electrotherapy has shown considerable potential in treating chronic wounds, but conventional approaches relying on bulky external power supplies and mechanical force are limited in their clinical utility. This study introduces an autonomous, moisture-driven flexible electrogenerative dressing (AMFED) that overcomes these limitations. The AMFED integrates a moist-electric generator (MEG), an antibacterial hydrogel dressing, and concentric molybdenum (Mo) electrodes to provide a self-sustaining electrical supply and potent antibacterial activity against Staphylococcus aureus and Escherichia coli. The MEG harnesses chemical energy from moisture to produce a stable direct current of 0.61 V without external input, delivering this therapeutic electrical stimulation to the wound site through the Mo electrodes. The AMFED facilitates macrophage polarization toward reparative M2 phenotype and regulates inflammatory cytokines. Moreover, in vivo studies suggest that the AMFED group significantly enhances chronic wound healing, with an approximate 41% acceleration compared to the control group. Using a diabetic mouse wound model, the AMFED demonstrates its effectiveness in promoting nerve regulation, epithelial migration, and vasculogenesis. These findings present a novel and efficient platform for accelerating chronic wound healing.
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Affiliation(s)
- Ren Yan
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Xueliang Zhang
- School of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China
| | - Hai Wang
- Department of Vascular Surgery, Renji Hospital, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China
| | - Tikang Wang
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Guozhang Ren
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Qizeng Sun
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Fei Liang
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, USA
| | - Wei Huang
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
| | - Hai-Dong Yu
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, P. R. China
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20
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Yang G, Lin R, Li H, Chen Y, Liu M, Luo Z, Wang K, Tu J, Xu Y, Fan Z, Zhou Y, Pan Y, Zhao Z, Liu R. Implantable wireless suture sensor for in situ tendon and ligament strain monitoring. SCIENCE ADVANCES 2025; 11:eadt3811. [PMID: 40020052 PMCID: PMC11870077 DOI: 10.1126/sciadv.adt3811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Accepted: 01/28/2025] [Indexed: 03/03/2025]
Abstract
Tendon and ligament ruptures are prevalent, and severe sports injuries require surgical repair. In clinical practice, monitoring of tissue strain is critical to alert severe postoperative complications such as graft reinjury and loosening. Here, we present a sensor system that integrates a strain sensor and communication coil onto surgical silk sutures, enabling in situ monitoring and wireless readout of tissue strains via surgical implantation. The flexible sensor shows excellent adaptability to soft tissues, providing a strain monitoring range of 0 to 10% with a minimum detection threshold of 0.25% and maintaining stability more than 300,000 stretching cycles. The wireless sensor could be integrated with complex structures in surgical scenarios involving lateral collateral ligament injury and anterior cruciate ligament reconstruction, enabling distinct responses to graft stretching, reinjury, and loosening. Animal experiments demonstrate that the sensor can acquire real-time, clinical-grade strain data while exhibiting high biocompatibility. The sensor system shows considerable potential in evaluating preclinical implant performance and monitoring implant-related surgical complications.
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Affiliation(s)
- Guangmin Yang
- School of Clinical Medicine, Tsinghua University, Beijing, China
- Center of Orthopaedics & Sport Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Rongzan Lin
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Haojie Li
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Yuqiu Chen
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Meiling Liu
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Ziyang Luo
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Kewei Wang
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Jinying Tu
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Yue Xu
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Zixiao Fan
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Yizhi Zhou
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
| | - Yongwei Pan
- School of Clinical Medicine, Tsinghua University, Beijing, China
- Center of Orthopaedics & Sport Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Zhe Zhao
- School of Clinical Medicine, Tsinghua University, Beijing, China
- Center of Orthopaedics & Sport Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China
| | - Ran Liu
- School of Biomedical Engineering, Tsinghua University, Beijing 100084 China
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21
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Liu Z, Hu J, Shen G. Bioinspired Intelligent Electronic Skin for Medicine and Healthcare. SMALL METHODS 2025:e2402164. [PMID: 39906020 DOI: 10.1002/smtd.202402164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Revised: 01/24/2025] [Indexed: 02/06/2025]
Abstract
Intelligent electronic skin aims to mimic, enhance, and even surpass the functions of biological skin, enabling artificial systems to sense environmental stimuli and interact more naturally with humans. In healthcare, intelligent electronic skin is revolutionizing diagnostics and personalized medicine by detecting early signs of diseases and programming exogenous stimuli for timely intervention and on-demand treatment. This review discusses latest progress in bioinspired intelligent electronic skin and its application in medicine and healthcare. First, strategies for the development of intelligent electronic skin to simulate or even surpass human skin are discussed, focusing on its basic characteristics, as well as sensing and regulating functions. Then, the applications of electronic skin in health monitoring and wearable therapies are discussed, illustrating its potential to provide early warning and on-demand treatment. Finally, the significance of electronic skin in bridging the gap between electronic and biological systems is emphasized and the challenges and future perspectives of intelligent electronic skin are summarized.
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Affiliation(s)
- Zhirong Liu
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China
| | - Junhao Hu
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China
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22
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Al Shboul A, Ketabi M, Ngai JHL, Skaf D, Rondeau-Gagné S, Izquierdo R. Fully Printed Flexible Polystyrene/Graphite-Based Temperature Sensor with Excellent Properties for Potential Smart Applications. ACS OMEGA 2025; 10:3878-3889. [PMID: 39926534 PMCID: PMC11800034 DOI: 10.1021/acsomega.4c09548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2024] [Revised: 01/02/2025] [Accepted: 01/06/2025] [Indexed: 02/11/2025]
Abstract
This study presents an innovative temperature sensor based on a thermistor nanocomposite of graphite (Gt) and polystyrene (PS). The sensor exhibited notable thermal stability and film integrity, offering two distinct linear response regions within the tested temperature range of -10 to 60 °C. It demonstrated a sensitivity of 0.125% °C-1 between -10 and 10 °C, followed by another linear response with a sensitivity of 0.41% °C-1 from 20 to 60 °C. Furthermore, it exhibited a response/recovery time of 0.97/1.3 min at a heating/cooling rate of 60 °C min-1. The sensor maintained minimal baseline drift even when subjected to varying humidity levels. We assessed its mechanical flexibility and stability for hundreds of bending cycles at a bending angle of 30°, adapting to dynamic environmental conditions. The sensor's thermomechanical test (response to mechanical stress under temperature fluctuations) underscored its adaptability over a temperature range of -10 to 60 °C. Notably, it displayed excellent chemical stability, maintaining consistent performance when subjected to harsh environmental conditions like exposure to corrosive gases and prolonged immersion in tap water. Real-world tests demonstrated its practical utility, including precise temperature measurements in solid objects and breath temperature monitoring. These findings suggest promising applications in healthcare, environmental monitoring, and various IoT applications.
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Affiliation(s)
- Ahmad Al Shboul
- Department
of Electrical Engineering, École
de Technologie Supérieure (ETS), 1100 Notre-Dame St W, Montreal, Quebec H3C 1K3, Canada
| | - Mohsen Ketabi
- Department
of Electrical Engineering, École
de Technologie Supérieure (ETS), 1100 Notre-Dame St W, Montreal, Quebec H3C 1K3, Canada
| | - Jenner H. L. Ngai
- Security
and Disruptive Technologies (SDT) Research Centre, National Research
Council of Canada, 1200
Montreal Road, Ottawa, Ontario K1A 0R6, Canada
| | - Daniella Skaf
- Department
of Chemistry and Biochemistry, Advanced Materials Centre of Research, University of Windsor, Windsor, Ontario N9B 3P4, Canada
| | - Simon Rondeau-Gagné
- Department
of Chemistry and Biochemistry, Advanced Materials Centre of Research, University of Windsor, Windsor, Ontario N9B 3P4, Canada
| | - Ricardo Izquierdo
- Department
of Electrical Engineering, École
de Technologie Supérieure (ETS), 1100 Notre-Dame St W, Montreal, Quebec H3C 1K3, Canada
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23
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Liu T, Mao Y, Dou H, Zhang W, Yang J, Wu P, Li D, Mu X. Emerging Wearable Acoustic Sensing Technologies. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2408653. [PMID: 39749384 PMCID: PMC11809411 DOI: 10.1002/advs.202408653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2024] [Revised: 11/08/2024] [Indexed: 01/04/2025]
Abstract
Sound signals not only serve as the primary communication medium but also find application in fields such as medical diagnosis and fault detection. With public healthcare resources increasingly under pressure, and challenges faced by disabled individuals on a daily basis, solutions that facilitate low-cost private healthcare hold considerable promise. Acoustic methods have been widely studied because of their lower technical complexity compared to other medical solutions, as well as the high safety threshold of the human body to acoustic energy. Furthermore, with the recent development of artificial intelligence technology applied to speech recognition, speech recognition devices, and systems capable of assisting disabled individuals in interacting with scenes are constantly being updated. This review meticulously summarizes the sensing mechanisms, materials, structural design, and multidisciplinary applications of wearable acoustic devices applied to human health and human-computer interaction. Further, the advantages and disadvantages of the different approaches used in flexible acoustic devices in various fields are examined. Finally, the current challenges and a roadmap for future research are analyzed based on existing research progress to achieve more comprehensive and personalized healthcare.
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Affiliation(s)
- Tao Liu
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of EducationInternational R&D Center of Micro‐Nano Systems and New Materials TechnologyChongqing UniversityChongqing400044China
| | - Yuchen Mao
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of EducationInternational R&D Center of Micro‐Nano Systems and New Materials TechnologyChongqing UniversityChongqing400044China
| | - Hanjie Dou
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of EducationInternational R&D Center of Micro‐Nano Systems and New Materials TechnologyChongqing UniversityChongqing400044China
| | - Wangyang Zhang
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of EducationInternational R&D Center of Micro‐Nano Systems and New Materials TechnologyChongqing UniversityChongqing400044China
| | - Jiaqian Yang
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of EducationInternational R&D Center of Micro‐Nano Systems and New Materials TechnologyChongqing UniversityChongqing400044China
| | - Pengfan Wu
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of EducationInternational R&D Center of Micro‐Nano Systems and New Materials TechnologyChongqing UniversityChongqing400044China
| | - Dongxiao Li
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of EducationInternational R&D Center of Micro‐Nano Systems and New Materials TechnologyChongqing UniversityChongqing400044China
| | - Xiaojing Mu
- Key Laboratory of Optoelectronic Technology & Systems of Ministry of EducationInternational R&D Center of Micro‐Nano Systems and New Materials TechnologyChongqing UniversityChongqing400044China
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24
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Wang W, Bo X, Li W, Eldaly ABM, Wang L, Li WJ, Chan LLH, Daoud WA. Triboelectric Bending Sensors for AI-Enabled Sign Language Recognition. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2408384. [PMID: 39778014 PMCID: PMC11848593 DOI: 10.1002/advs.202408384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2024] [Revised: 09/24/2024] [Indexed: 01/11/2025]
Abstract
Human-machine interfaces and wearable electronics, as fundamentals to achieve human-machine interactions, are becoming increasingly essential in the era of the Internet of Things. However, contemporary wearable sensors based on resistive and capacitive mechanisms demand an external power, impeding them from extensive and diverse deployment. Herein, a smart wearable system is developed encompassing five arch-structured self-powered triboelectric sensors, a five-channel data acquisition unit to collect finger bending signals, and an artificial intelligence (AI) methodology, specifically a long short-term memory (LSTM) network, to recognize signal patterns. A slider-crank mechanism that precisely controls the bending angle is designed to quantitively assess the sensor's performance. Thirty signal patterns of sign language of each letter are collected and analyzed after the environment noise and cross-talks among different channels are reduced and removed, respectively, by leveraging low pass filters. Two LSTM models are trained using different training sets, and four indexes are introduced to evaluate their performance, achieving a recognition accuracy of 96.15%. This work demonstrates a novel integration of triboelectric sensors with AI for sign language recognition, paving a new application avenue of triboelectric sensors in wearable electronics.
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Affiliation(s)
- Wei Wang
- Department of Mechanical EngineeringCity University of Hong KongHong KongChina
| | - Xiangkun Bo
- Department of Mechanical EngineeringCity University of Hong KongHong KongChina
| | - Weilu Li
- Department of Mechanical EngineeringCity University of Hong KongHong KongChina
| | | | - Lingyun Wang
- School of MicroelectronicsShandong UniversityJinan250101China
| | - Wen Jung Li
- Department of Mechanical EngineeringCity University of Hong KongHong KongChina
| | | | - Walid A. Daoud
- Department of Mechanical EngineeringCity University of Hong KongHong KongChina
- Shenzhen Research InstituteCity University of Hong KongShenzhen518000China
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25
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Li Q, Wei C, Xu L, Zhang J, Li Y, Lu X, Xu R, Guo H, Cao P, Ouyang C, Xu J, Chen W, Wang Z, Wang L. A Smart Semi-Implantable Device Integrating Microchannel-Enhanced Sampling and Multiplex Biochemical Testing for Deep Wound Monitoring and Pathogen Identification. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2407868. [PMID: 39741227 PMCID: PMC11848630 DOI: 10.1002/advs.202407868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 12/19/2024] [Indexed: 01/02/2025]
Abstract
Monitoring deep wounds is challenging but necessary for high-quality medical treatment. Current methodologies for deep wound monitoring are typically limited to indirect clinical symptoms or costly non-real-time imaging diagnosis. Herein, a smart system is proposed that enables in situ monitoring of deep wounds' status through a semi-implantable device composed of 2 seamlessly connected functional components: 1) the well-designed, microchannel-structured sampling needles that efficiently and conveniently collect samples from deep wound anatomical locations, and 2) the multiplex biochemical testing compartment that facilitates the immediate and persistent detection of multiple biochemical indicators based on a color image processing software accessible to a conventional smartphone. With the 3 representative preclinical deep wound models, the study demonstrates the device's potential to monitor wound infection, inflammation, healing progress, and reduce inflammation when applied to deep skin injury, surgical implantation, and postoperative intestinal leakage. The device's capability to rapidly and accurately identify pathogenic bacteria is also demonstrated both in vitro and in vivo, potentially facilitating precise intervention in infected wounds. Coupled with the device's favorable biocompatibility and cost-effectiveness, this intelligent system emerges as a promising tool for safe and effective management of complicated deep wounds.
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Affiliation(s)
- Qilin Li
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Chunyu Wei
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Luming Xu
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Jiao Zhang
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Yuyu Li
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Xiaohuan Lu
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Department of Gastrointestinal SurgeryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Rengui Xu
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Honglian Guo
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Peng Cao
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Chenke Ouyang
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Jiarong Xu
- Department of PharmacologySchool of Basic MedicineState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious DiseasesTongji‐Rongcheng Center for BiomedicineTongji Medical CollegeHuazhong University of Science and TechnologyHubei Key Laboratory for Drug Target Research and Pharmacodynamic EvaluationHuazhong University of Science and TechnologyWuhan430030China
| | - Wei Chen
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Department of PharmacologySchool of Basic MedicineState Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious DiseasesTongji‐Rongcheng Center for BiomedicineTongji Medical CollegeHuazhong University of Science and TechnologyHubei Key Laboratory for Drug Target Research and Pharmacodynamic EvaluationHuazhong University of Science and TechnologyWuhan430030China
| | - Zheng Wang
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Department of Gastrointestinal SurgeryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
| | - Lin Wang
- Department of Clinical LaboratoryUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
- Hubei Key Laboratory of Regenerative Medicine and Multi‐disciplinary Translational ResearchHubei Provincial Engineering Research Center of Clinical Laboratory and Active Health Smart EquipmentResearch Center for Tissue Engineering and Regenerative MedicineUnion HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430022China
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26
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Lin B, Li F, Hui J, Xing Z, Fu J, Li S, Shi H, Liu C, Mao H, Wu Z. Modular Reconfigurable Approach Toward Noninvasive Wearable Body Net for Monitoring Sweat and Physiological Signals. ACS Sens 2025; 10:225-235. [PMID: 39576944 DOI: 10.1021/acssensors.4c02141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2024]
Abstract
In the realm of wearable technology, strategically placing sensors at various body locations enhances the detection of diverse physiological indicators crucial for remote medical care. However, current devices often focus on a single body part for specific physical parameters, which hinders the seamless integration of sensors across multiple body parts and necessitates redesign for new detection capabilities. Here, we propose a modular, reconfigurable circuit assembly method that can be adaptable for multiple body locations to construct the body net. By simply reassembling different child modules with the base module using flexible printed circuit board connectors, we can efficiently detect various parameters including sweat ion indicators, electrocardiogram signals, electromyography signals, motion data, heart rate, blood oxygen saturation, and skin temperature. These data can be transmitted to a mobile phone app via a Bluetooth Low Energy protocol for further evaluation. Comparative evaluations against established commercial devices substantiate the viability of our sensor technology. In addition, results from wearable body network detections using reconfigurable sensors across multiple body parts of volunteers also indicate promising application prospects, demonstrating the extensive potential for regular health monitoring and clinical applications.
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Affiliation(s)
- Bo Lin
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Fangqi Li
- Institute of Microelectronics of the Chinese Academy of Science, Beijing 100029, China
| | - Jianan Hui
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhe Xing
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jie Fu
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Shuang Li
- Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China
| | - Haotian Shi
- China Three Gorges Renewables (Group) Company Limited, Harbin 150000, China
| | - Chaoran Liu
- Ministry of Education Engineering Research Center of Smart Microsensors and Microsystems, College of Electronics and Information, Hangzhou Danzi University, Hangzhou 310018, China
| | - Hongju Mao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhenhua Wu
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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27
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Deng P, Shi Z, Fang F, Xu Y, Zhou LA, Liu Y, Jin M, Chen T, Wang Y, Cao Y, Su L, Liang H, Liu Q. Wireless matrix metalloproteinase-9 sensing by smart wound dressing with controlled antibacterial nanoparticles release toward chronic wound management. Biosens Bioelectron 2025; 268:116860. [PMID: 39489012 DOI: 10.1016/j.bios.2024.116860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 10/12/2024] [Accepted: 10/16/2024] [Indexed: 11/05/2024]
Abstract
Chronic wounds cause serious health and economic burdens on patients and society. Herein, a wireless and flexible smart wound dressing was developed for matrix metalloproteinase-9 (MMP-9) monitoring and antimicrobial treatment toward chronic wound management. The highly sensitive radio frequency MMP-9 sensor was realized based on a bioresponsive hydrogel with the bioactive peptide sequences. Taking advantage of the flexible inductive-capacitive (LC) circuit and bioresponsive hydrogel, the wireless and wearable smart wound dressing offered an efficient strategy for in-situ wound analysis. Besides, the controlled release of silver nanoparticles (AgNPs) from the degradable hydrogel exhibited significant antimicrobial efficacy against typical bacteria in wound infection including Escherichia coli and Staphylococcus aureus. The analysis of MMP-9 in wound exudate from diabetic foot ulcer (DFU) patients demonstrated good accuracy cross-validated with gold-standard fluorescent measurements, providing great potential for personalized wound management.
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Affiliation(s)
- Peixue Deng
- Life Sciences Institute, Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, 530021, PR China; Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University, Taizhou, 318000, PR China
| | - Zhenghan Shi
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University, Taizhou, 318000, PR China; Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, PR China
| | - Feiyue Fang
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, PR China
| | - Yi Xu
- Stomatology Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, PR China
| | - Li-Ang Zhou
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, PR China
| | - Ye Liu
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, PR China
| | - Meng Jin
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, PR China
| | - Tao Chen
- Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, PR China
| | - Yuzhen Wang
- Shanghai Traditional Chinese Medicine Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China
| | - Yemin Cao
- Shanghai Traditional Chinese Medicine Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, PR China
| | - Lingkai Su
- Stomatology Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, PR China
| | - Hao Liang
- Life Sciences Institute, Guangxi Key Laboratory of AIDS Prevention and Treatment, Guangxi Medical University, Nanning, Guangxi, 530021, PR China.
| | - Qingjun Liu
- Taizhou Key Laboratory of Medical Devices and Advanced Materials, Research Institute of Zhejiang University, Taizhou, 318000, PR China; Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, PR China.
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28
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Yue W, Guo Y, Lee JC, Ganbold E, Wu JK, Li Y, Wang C, Kim HS, Shin YK, Liang JG, Kim ES, Kim NY. Advancements in Passive Wireless Sensing Systems in Monitoring Harsh Environment and Healthcare Applications. NANO-MICRO LETTERS 2025; 17:106. [PMID: 39779609 PMCID: PMC11712043 DOI: 10.1007/s40820-024-01599-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2024] [Accepted: 11/19/2024] [Indexed: 01/11/2025]
Abstract
Recent advancements in passive wireless sensor technology have significantly extended the application scope of sensing, particularly in challenging environments for monitoring industry and healthcare applications. These systems are equipped with battery-free operation, wireless connectivity, and are designed to be both miniaturized and lightweight. Such features enable the safe, real-time monitoring of industrial environments and support high-precision physiological measurements in confined internal body spaces and on wearable epidermal devices. Despite the exploration into diverse application environments, the development of a systematic and comprehensive research framework for system architecture remains elusive, which hampers further optimization of these systems. This review, therefore, begins with an examination of application scenarios, progresses to evaluate current system architectures, and discusses the function of each component-specifically, the passive sensor module, the wireless communication model, and the readout module-within the context of key implementations in target sensing systems. Furthermore, we present case studies that demonstrate the feasibility of proposed classified components for sensing scenarios, derived from this systematic approach. By outlining a research trajectory for the application of passive wireless systems in sensing technologies, this paper aims to establish a foundation for more advanced, user-friendly applications.
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Affiliation(s)
- Wei Yue
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea
- Department of Electronics Engineering, Kwangwoon University, Seoul, 01897, South Korea
| | - Yunjian Guo
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea
- Department of Electronic Convergence Engineering, Kwangwoon University, Seoul, 01897, South Korea
| | - Jong-Chul Lee
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea
- Department of Electronic Convergence Engineering, Kwangwoon University, Seoul, 01897, South Korea
| | - Enkhzaya Ganbold
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea
- Department of Electronics Engineering, Kwangwoon University, Seoul, 01897, South Korea
| | - Jia-Kang Wu
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea
- Department of Electronic Engineering, Jiangnan University, Wuxi, 214122, People's Republic of China
| | - Yang Li
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea
- School of Microelectronics, Shandong University, Jinan, 250101, People's Republic of China
| | - Cong Wang
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea
- School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, 150001, People's Republic of China
| | - Hyun Soo Kim
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea
- Department of Electronics Engineering, Kwangwoon University, Seoul, 01897, South Korea
| | - Young-Kee Shin
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea.
- Laboratory of Molecular Pathology and Cancer Genomics, Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
| | - Jun-Ge Liang
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea.
- Department of Electronic Engineering, Jiangnan University, Wuxi, 214122, People's Republic of China.
| | - Eun-Seong Kim
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea.
| | - Nam-Young Kim
- RFIC Bio Centre, Kwangwoon University, Seoul, 01897, South Korea.
- Department of Electronics Engineering, Kwangwoon University, Seoul, 01897, South Korea.
- Laboratory of Molecular Pathology and Cancer Genomics, Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, South Korea.
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Kim J, Jeong SH, Thibault BC, Soto JAL, Tetsuka H, Devaraj SV, Riestra E, Jang Y, Seo JW, Rodríguez RAC, Huang LL, Lee Y, Preda I, Sonkusale S, Fiondella L, Seo J, Pirrami L, Shin SR. Large Scale Ultrafast Manufacturing of Wireless Soft Bioelectronics Enabled by Autonomous Robot Arm Printing Assisted by a Computer Vision-Enabled Guidance System for Personalized Wound Healing. Adv Healthc Mater 2025; 14:e2401735. [PMID: 39544116 PMCID: PMC11695167 DOI: 10.1002/adhm.202401735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 10/21/2024] [Indexed: 11/17/2024]
Abstract
A Customized wound patch for Advanced tissue Regeneration with Electric field (CARE), featuring an autonomous robot arm printing system guided by a computer vision-enabled guidance system for fast image recognition is introduced. CARE addresses the growing demand for flexible, stretchable, and wireless adhesive bioelectronics tailored for electrotherapy, which is suitable for rapid adaptation to individual patients and practical implementation in a comfortable design. The visual guidance system integrating a 6-axis robot arm enables scans from multiple angles to provide a 3D map of complex and curved wounds. The size of electrodes and the geometries of power-receiving coil are essential components of the CARE and are determined by a MATLAB simulation, ensuring efficient wireless power transfer. Three heterogeneous inks possessing different rheological behaviors can be extruded and printed sequentially on the flexible substrates, supporting fast manufacturing of large customized bioelectronic patches. CARE can stimulate wounds up to 10 mm in depth with an electric field strength of 88.8 mV mm-1. In vitro studies reveal the ability to accelerate cell migration by a factor of 1.6 and 1.9 for human dermal fibroblasts and human umbilical vein endothelial cells, respectively. This study highlights the potential of CARE as a clinical wound therapy method to accelerate healing.
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Affiliation(s)
- Jihyun Kim
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
- School of Electrical and Electronic Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Seol-Ha Jeong
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
| | - Brendan Craig Thibault
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
- Department of Electrical and Computer Engineering, University of Massachusetts- Dartmouth, Dartmouth, MA, 02747, USA
| | - Javier Alejandro Lozano Soto
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
| | - Hiroyuki Tetsuka
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
- Research Strategy Office, Toyota Research Institute of North America Toyota Motor North America, 1555 Woodridge Avenue, Ann Arbor, MI, 48105, USA
| | - Surya Varchasvi Devaraj
- Electrical Engineering Department, Indian Institute of Technology Bombay India
- Nano Lab, Advanced Technology Laboratory, Tufts University, Medford, MA, 02155, USA
- Department of Electrical and Computer Engineering, Tufts University, Medford, MA, 02155, USA
| | - Estefania Riestra
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias Campus Monterrey, Av. Eugenio Garza Sada 2501, Col. Tecnológico C.P. Monterrey, Nuevo León, 64700, Mexico
| | - Yeongseok Jang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
- Department of Mechanical Design Engineering, Jeonbuk National University, Jeonju, 54896, Republic of Korea
| | - Jeong Wook Seo
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
| | - Rafael Alejandro Cornejo Rodríguez
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
- Tecnológico de Monterrey, Escuela de Ingeniería y Ciencias Campus Monterrey, Av. Eugenio Garza Sada 2501, Col. Tecnológico C.P. Monterrey, Nuevo León, 64700, Mexico
| | - Lucia L Huang
- Department of Anesthesiology, Perioperative and Pain Medicine, Center for Accelerated Medical Innovation and Center for Nanomedicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Yuhan Lee
- Department of Anesthesiology, Perioperative and Pain Medicine, Center for Accelerated Medical Innovation and Center for Nanomedicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Ioana Preda
- iPrint Institute, HEIA-FR, HES-SO University of Applied Sciences and Arts Western Switzerland, Fribourg, 1700, Switzerland
| | - Sameer Sonkusale
- Nano Lab, Advanced Technology Laboratory, Tufts University, Medford, MA, 02155, USA
- Department of Electrical and Computer Engineering, Tufts University, Medford, MA, 02155, USA
| | - Lance Fiondella
- Department of Electrical and Computer Engineering, University of Massachusetts- Dartmouth, Dartmouth, MA, 02747, USA
| | - Jungmok Seo
- School of Electrical and Electronic Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Lorenzo Pirrami
- iSIS Institute, HEIA-FR, HES-SO University of Applied Sciences and Arts Western Switzerland, Fribourg, 1700, Switzerland
| | - Su Ryon Shin
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02139, USA
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Duan H, Peng S, He S, Tang S, Goda K, Wang CH, Li M. Wearable Electrochemical Biosensors for Advanced Healthcare Monitoring. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2411433. [PMID: 39588557 PMCID: PMC11727287 DOI: 10.1002/advs.202411433] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Revised: 11/13/2024] [Indexed: 11/27/2024]
Abstract
Recent advancements in wearable electrochemical biosensors have opened new avenues for on-body and continuous detection of biomarkers, enabling personalized, real-time, and preventive healthcare. While glucose monitoring has set a precedent for wearable biosensors, the field is rapidly expanding to include a wider range of analytes crucial for disease diagnosis, treatment, and management. In this review, recent key innovations are examined in the design and manufacturing underpinning these biosensing platforms including biorecognition elements, signal transduction methods, electrode and substrate materials, and fabrication techniques. The applications of these biosensors are then highlighted in detecting a variety of biochemical markers, such as small molecules, hormones, drugs, and macromolecules, in biofluids including interstitial fluid, sweat, wound exudate, saliva, and tears. Additionally, the review also covers recent advances in wearable electrochemical biosensing platforms, such as multi-sensory integration, closed-loop control, and power supply. Furthermore, the challenges associated with critical issues are discussed, such as biocompatibility, biofouling, and sensor degradation, and the opportunities in materials science, nanotechnology, and artificial intelligence to overcome these limitations.
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Affiliation(s)
- Haowei Duan
- School of Mechanical and Manufacturing EngineeringThe University of New South WalesSydneyNSW2052Australia
| | - Shuhua Peng
- School of Mechanical and Manufacturing EngineeringThe University of New South WalesSydneyNSW2052Australia
| | - Shuai He
- School of Mechanical and Manufacturing EngineeringThe University of New South WalesSydneyNSW2052Australia
| | - Shi‐Yang Tang
- School of Mechanical and Manufacturing EngineeringThe University of New South WalesSydneyNSW2052Australia
| | - Keisuke Goda
- Department of ChemistryThe University of TokyoTokyo113‐0033Japan
- Department of BioengineeringUniversity of CaliforniaLos AngelesCalifornia90095USA
- Institute of Technological SciencesWuhan UniversityHubei430072China
| | - Chun H. Wang
- School of Mechanical and Manufacturing EngineeringThe University of New South WalesSydneyNSW2052Australia
| | - Ming Li
- School of Mechanical and Manufacturing EngineeringThe University of New South WalesSydneyNSW2052Australia
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31
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Bozyel I, Fleming D, Won-Jun K, Rosen PF, Gelston S, Ozdemir D, Kies P, Koscianski C, Karau M, Ay SU, Patel R, Beyenal H. Dual action electrochemical bandage operated by a programmable multimodal wearable potentiostat. Biosens Bioelectron 2025; 267:116791. [PMID: 39342698 PMCID: PMC11543506 DOI: 10.1016/j.bios.2024.116791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 09/02/2024] [Accepted: 09/16/2024] [Indexed: 10/01/2024]
Abstract
We have developed electrochemical bandage (e-bandage) prototypes that generate the reactive oxygen species hypochlorous acid (HOCl) or hydrogen peroxide (H2O2) for potential use to treat biofilm-infected wounds in humans. We have shown that both e-bandage-generated HOCl and H2O2 kill biofilms in vitro and in infected wounds on mice, with the former being more active in vitro. The H2O2-generating e-bandage, more so than the HOCl-generating e-bandage, was associated with improved healing of infected wounds. Here, a strategy in which H2O2 and HOCl are alternately generated-for dual action-was explored. The goal was to develop a programmable multimodal wearable potentiostat [PMWP] that can generate HOCl or H2O2, as needed. An ultralow-power microcontroller unit was developed to manage operation of the PMWP. The system was operated with a 260-mAh capacity coin battery and weighed 4.6 g, making it suitable for future small animal experiments (and ultimately, potential evaluation in humans). As assessed using electrochemical parameters, the device functioned comparably to a commercial benchtop potentiostat. To confirm antimicrobial activity, PMWP-controlled e-bandages were tested in vitro against clinical isolates of methicillin-resistant Staphylococcus aureus, Pseudomonas aeruginosa, Acinetobacter baumannii, Enterococcus faecium, and Candida auris. When programmed to deliver HOCl followed by H2O2, PMWP-controlled e-bandages exhibited activity against biofilms of all study isolates tested. Finally, we demonstrated the PMWP's usability in a murine wound infection model.
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Affiliation(s)
- Ibrahim Bozyel
- The Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA; Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
| | - Derek Fleming
- Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA.
| | - Kim Won-Jun
- The Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA.
| | | | - Suzanne Gelston
- The Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA.
| | - Dilara Ozdemir
- The Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA.
| | - Paige Kies
- Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA.
| | | | - Melissa Karau
- Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA.
| | - Suat U Ay
- Department of Electrical and Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.
| | - Robin Patel
- Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA; Division of Public Health, Infectious Diseases, and Occupational Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Haluk Beyenal
- The Gene and Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, WA, USA.
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32
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Huang M, Ma X, Wu Z, Li J, Shi Y, Yang T, Xu J, Wang S, Lv K, Lin Y. Ammonium Sensing Patch with Ultrawide Linear Range and Eliminated Interference for Universal Body Fluids Analysis. NANO-MICRO LETTERS 2024; 17:92. [PMID: 39710734 DOI: 10.1007/s40820-024-01602-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Accepted: 11/20/2024] [Indexed: 12/24/2024]
Abstract
Ammonium level in body fluids serves as one of the critical biomarkers for healthcare, especially those relative to liver diseases. The continuous and real-time monitoring in both invasive and non-invasive manners is highly desired, while the ammonium concentrations vary largely in different body fluids. Besides, the sensing reliability based on ion-selective biosensors can be significantly interfered by potassium ions. To tackle these challenges, a flexible and biocompatible sensing patch for wireless ammonium level sensing was reported with an ultrawide linear range for universal body fluids including blood, tears, saliva, sweat and urine. The as-prepared biocompatible sensors deliver a reliable sensitivity of 58.7 mV decade-1 in the range of 1-100 mM and a desirable selectivity coefficient of 0.11 in the interference of potassium ions, attributed to the cross-calibration within the sensors array. The sensor's biocompatibility was validated by the cell growth on the sensor surface (> 80%), hemolysis rates (< 5%), negligible cellular inflammatory responses and weight changes of the mice with implanted sensors. Such biocompatible sensors with ultrawide linear range and desirable selectivity open up new possibility of highly compatible biomarker analysis via different body fluids in versatile approaches.
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Affiliation(s)
- Mingli Huang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, People's Republic of China
| | - Xiaohao Ma
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, People's Republic of China
| | - Zongze Wu
- Department of Interventional Radiology, Shenzhen People's Hospital, Shenzhen, 518020, People's Republic of China
| | - Jirong Li
- Department of Interventional Radiology, Shenzhen People's Hospital, Shenzhen, 518020, People's Republic of China
- College of Mechanical and Energy Engineering, Shaoyang University, Shaoyang, 422000, Hunan, People's Republic of China
| | - Yuqing Shi
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, People's Republic of China
| | - Teng Yang
- Department of Interventional Radiology, Shenzhen People's Hospital, Shenzhen, 518020, People's Republic of China
| | - Jiarun Xu
- Shenzhen Hainwise Medical Technology Co., LTD, Shenzhen, 518118, People's Republic of China
| | - Shuhan Wang
- Shenzhen Institute for Drug Control (Shenzhen Testing Center of Medical Devices), Shenzhen, 518000, People's Republic of China
| | - Kongpeng Lv
- Department of Interventional Radiology, Shenzhen People's Hospital, Shenzhen, 518020, People's Republic of China.
- Institute of Innovative Materials, Guangming Advanced Research Institute, Southern University of Science and Technology, Shenzhen, 518055, People's Republic of China.
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, People's Republic of China.
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33
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Liu J, Li Z, Sun M, Zhou L, Wu X, Lu Y, Shao Y, Liu C, Huang N, Hu B, Wu Z, You C, Li L, Wang M, Tao L, Di Z, Sheng X, Mei Y, Song E. Flexible bioelectronic systems with large-scale temperature sensor arrays for monitoring and treatments of localized wound inflammation. Proc Natl Acad Sci U S A 2024; 121:e2412423121. [PMID: 39589888 PMCID: PMC11626133 DOI: 10.1073/pnas.2412423121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Accepted: 10/23/2024] [Indexed: 11/28/2024] Open
Abstract
Continuous monitoring and closed-loop therapy of soft wound tissues is of particular interest in biomedical research and clinical practices. An important focus is on the development of implantable bioelectronics that can measure time-dependent temperature distribution related to localized inflammation over large areas of wound and offer in situ treatment. Existing approaches such as thermometers/thermocouples provide limited spatial resolution, inapplicable to a wearable/implantable format. Here, we report a conformal, scalable device package that integrates a flexible amorphous silicon-based temperature sensor array and drug-loaded hydrogel for the healing process. This system can enable the spatial temperature mapping at submillimeter resolution and high sensitivity of 0.1 °C, for dynamically localizing the inflammation regions associated with temperature change, automatically followed with heat-triggered drug delivery from hydrogel triggered by wearable infrared light-emitting-diodes. We establish the operational principles experimentally and computationally and evaluate system functionalities with a wide range of targets including live animal models and human subjects. As an example of medical utility, this system can yield closed-loop monitoring/treatments by tracking of temperature distribution over wound areas of live rats, in designs that can be integrated with automated wireless control. These findings create broad utilities of these platforms for clinical diagnosis and advanced therapy for wound healthcare.
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Affiliation(s)
- Junhan Liu
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Zhongzheng Li
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Mubai Sun
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- Institute of Agro-food Technology, Jilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Changchun130033, China
| | - Lianjie Zhou
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Xiaojun Wu
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
| | - Yifei Lu
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Yuting Shao
- Department of Ophthalmology, Tongji Hospital, School of Medicine, Tongji University, Shanghai200065, China
| | - Chang Liu
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Ningge Huang
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Bofan Hu
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Zhongyuan Wu
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Chunyu You
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Lizhu Li
- Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu611731, China
| | - Ming Wang
- State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai200438, China
| | - Ling Tao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai200030, China
| | - Zengfeng Di
- State Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai200050, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing100084, China
- Institute for Precision Medicine, Center for Flexible Electronics Technology, IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing100084, China
| | - Yongfeng Mei
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
| | - Enming Song
- Department of Materials Science and Institute of Optoelectronics, Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Fudan University, Shanghai200438, China
- State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai200438, China
- International Institute for Intelligent Nanorobots and Nanosystems, Center for Neural Regulation and Brain-Computer Interface Research, Fudan University, Shanghai200438, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang322000, China
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34
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Brasier N, Wang J, Gao W, Sempionatto JR, Dincer C, Ates HC, Güder F, Olenik S, Schauwecker I, Schaffarczyk D, Vayena E, Ritz N, Weisser M, Mtenga S, Ghaffari R, Rogers JA, Goldhahn J. Applied body-fluid analysis by wearable devices. Nature 2024; 636:57-68. [PMID: 39633192 PMCID: PMC12007731 DOI: 10.1038/s41586-024-08249-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 10/18/2024] [Indexed: 12/07/2024]
Abstract
Wearable sensors are a recent paradigm in healthcare, enabling continuous, decentralized, and non- or minimally invasive monitoring of health and disease. Continuous measurements yield information-rich time series of physiological data that are holistic and clinically meaningful. Although most wearable sensors were initially restricted to biophysical measurements, the next generation of wearable devices is now emerging that enable biochemical monitoring of both small and large molecules in a variety of body fluids, such as sweat, breath, saliva, tears and interstitial fluid. Rapidly evolving data analysis and decision-making technologies through artificial intelligence has accelerated the application of wearables around the world. Although recent pilot trials have demonstrated the clinical applicability of these wearable devices, their widespread adoption will require large-scale validation across various conditions, ethical consideration and sociocultural acceptance. Successful translation of wearable devices from laboratory prototypes into clinical tools will further require a comprehensive transitional environment involving all stakeholders. The wearable device platforms must gain acceptance among different user groups, add clinical value for various medical indications, be eligible for reimbursements and contribute to public health initiatives. In this Perspective, we review state-of-the-art wearable devices for body-fluid analysis and their translation into clinical applications, and provide insight into their clinical purpose.
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Affiliation(s)
- Noé Brasier
- Collegium Helveticum, Zurich, Switzerland.
- Institute of Translational Medicine, ETH Zurich, Zurich, Switzerland.
| | - Joseph Wang
- Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Juliane R Sempionatto
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Can Dincer
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Freiburg, Germany
- Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany
- Munich Institute of Biomedical Engineering - MIBE, Department of Electrical Engineering, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - H Ceren Ates
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Freiburg, Germany
- Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany
| | - Firat Güder
- Department of Bioengineering, Imperial College London, London, UK
| | - Selin Olenik
- Department of Bioengineering, Imperial College London, London, UK
| | - Ivo Schauwecker
- European Patients Academy on Therapeutic Innovation (EUPATI CH), Zurich, Switzerland
- Digital Trial Innovation Platform (dtip), ETH Zurich, Zurich, Switzerland
| | | | - Effy Vayena
- Health Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland
| | - Nicole Ritz
- University Children's Hospital Basel UKBB, Basel, Switzerland
- Paediatric Infectious Diseases and Vaccinology, University Children's Hospital Basel, Basel, Switzerland
- Department of Paediatrics and Paediatric Infectious Diseases, Children's Hospital, Lucerne Cantonal Hospital, Lucerne, Switzerland
| | - Maja Weisser
- Department of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Ifakara, Tanzania
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Sally Mtenga
- Department of Health Systems, Impact Evaluation and Policy, Ifakara Health Institute, Ifakara, Tanzania
| | - Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
- Epicore Biosystems Inc, Cambridge, MA, USA
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA
- Department of Chemistry, Northwestern University, Evanston, IL, USA
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Jörg Goldhahn
- Institute of Translational Medicine, ETH Zurich, Zurich, Switzerland
- Digital Trial Innovation Platform (dtip), ETH Zurich, Zurich, Switzerland
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Kim MS, Almuslem AS, Babatain W, Bahabry RR, Das UK, El-Atab N, Ghoneim M, Hussain AM, Kutbee AT, Nassar J, Qaiser N, Rojas JP, Shaikh SF, Torres Sevilla GA, Hussain MM. Beyond Flexible: Unveiling the Next Era of Flexible Electronic Systems. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2406424. [PMID: 39390819 DOI: 10.1002/adma.202406424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 07/31/2024] [Indexed: 10/12/2024]
Abstract
Flexible electronics are integral in numerous domains such as wearables, healthcare, physiological monitoring, human-machine interface, and environmental sensing, owing to their inherent flexibility, stretchability, lightweight construction, and low profile. These systems seamlessly conform to curvilinear surfaces, including skin, organs, plants, robots, and marine species, facilitating optimal contact. This capability enables flexible electronic systems to enhance or even supplant the utilization of cumbersome instrumentation across a broad range of monitoring and actuation tasks. Consequently, significant progress has been realized in the development of flexible electronic systems. This study begins by examining the key components of standalone flexible electronic systems-sensors, front-end circuitry, data management, power management and actuators. The next section explores different integration strategies for flexible electronic systems as well as their recent advancements. Flexible hybrid electronics, which is currently the most widely used strategy, is first reviewed to assess their characteristics and applications. Subsequently, transformational electronics, which achieves compact and high-density system integration by leveraging heterogeneous integration of bare-die components, is highlighted as the next era of flexible electronic systems. Finally, the study concludes by suggesting future research directions and outlining critical considerations and challenges for developing and miniaturizing fully integrated standalone flexible electronic systems.
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Affiliation(s)
- Min Sung Kim
- mmh Labs (DREAM), Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA
| | - Amani S Almuslem
- Department of Physics, College of Science, King Faisal University, Prince Faisal bin Fahd bin Abdulaziz Street, Al-Ahsa, 31982, Saudi Arabia
| | - Wedyan Babatain
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Rabab R Bahabry
- Department of Physical Sciences, College of Science, University of Jeddah, Jeddah, 21589, Saudi Arabia
| | - Uttam K Das
- Department of Electrical and Computer Engineering, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Nazek El-Atab
- Department of Electrical and Computer Engineering, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Mohamed Ghoneim
- Logic Technology Development Quality and Reliability, Intel Corporation, Hillsboro, OR, 97124, USA
| | - Aftab M Hussain
- International Institute of Information Technology (IIIT) Hyderabad, Gachibowli, Hyderabad, 500 032, India
| | - Arwa T Kutbee
- Department of Physics, College of Science, King AbdulAziz University, Jeddah, 21589, Saudi Arabia
| | - Joanna Nassar
- Department of Electrical and Computer Engineering, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Nadeem Qaiser
- Department of Electrical and Computer Engineering, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Jhonathan P Rojas
- Electrical Engineering Department & Interdisciplinary Research Center for Advanced Materials, King Fahd University of Petroleum and Minerals, Academic Belt Road, Dhahran, 31261, Saudi Arabia
| | | | - Galo A Torres Sevilla
- Department of Electrical and Computer Engineering, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955, Saudi Arabia
| | - Muhammad M Hussain
- mmh Labs (DREAM), Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47906, USA
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36
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Ding G, Li H, Zhao J, Zhou K, Zhai Y, Lv Z, Zhang M, Yan Y, Han ST, Zhou Y. Nanomaterials for Flexible Neuromorphics. Chem Rev 2024; 124:12738-12843. [PMID: 39499851 DOI: 10.1021/acs.chemrev.4c00369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2024]
Abstract
The quest to imbue machines with intelligence akin to that of humans, through the development of adaptable neuromorphic devices and the creation of artificial neural systems, has long stood as a pivotal goal in both scientific inquiry and industrial advancement. Recent advancements in flexible neuromorphic electronics primarily rely on nanomaterials and polymers owing to their inherent uniformity, superior mechanical and electrical capabilities, and versatile functionalities. However, this field is still in its nascent stage, necessitating continuous efforts in materials innovation and device/system design. Therefore, it is imperative to conduct an extensive and comprehensive analysis to summarize current progress. This review highlights the advancements and applications of flexible neuromorphics, involving inorganic nanomaterials (zero-/one-/two-dimensional, and heterostructure), carbon-based nanomaterials such as carbon nanotubes (CNTs) and graphene, and polymers. Additionally, a comprehensive comparison and summary of the structural compositions, design strategies, key performance, and significant applications of these devices are provided. Furthermore, the challenges and future directions pertaining to materials/devices/systems associated with flexible neuromorphics are also addressed. The aim of this review is to shed light on the rapidly growing field of flexible neuromorphics, attract experts from diverse disciplines (e.g., electronics, materials science, neurobiology), and foster further innovation for its accelerated development.
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Affiliation(s)
- Guanglong Ding
- State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, PR China
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Hang Li
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, PR China
| | - JiYu Zhao
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, PR China
- State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials, Dalian University of Technology, Dalian 116024, China
| | - Kui Zhou
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, PR China
- The Construction Quality Supervision and Inspection Station of Zhuhai, Zhuhai 519000, PR China
| | - Yongbiao Zhai
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Ziyu Lv
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Meng Zhang
- State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, PR China
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Yan Yan
- State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, PR China
- College of Electronics and Information Engineering, Shenzhen University, Shenzhen 518060, PR China
| | - Su-Ting Han
- Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom 999077, Hong Kong SAR PR China
| | - Ye Zhou
- State Key Laboratory of Radio Frequency Heterogeneous Integration, Shenzhen University, Shenzhen 518060, PR China
- Institute for Advanced Study, Shenzhen University, Shenzhen 518060, PR China
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Asgharian H, Kammarchedu V, Soltan Khamsi P, Brustoloni C, Ebrahimi A. Multi-Electrode Extended Gate Field Effect Transistors Based on Laser-Induced Graphene for the Detection of Vitamin C and SARS-CoV-2. ACS APPLIED MATERIALS & INTERFACES 2024; 16:63142-63154. [PMID: 39470169 DOI: 10.1021/acsami.4c11393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/30/2024]
Abstract
Despite the clinical data showing the importance of ascorbic acid (AA or vitamin C) in managing viral respiratory infections, biosensors for their simultaneous detection are lacking. To address this need, we developed a portable and wireless device for simultaneous detection of AA and SARS-CoV-2 virus by integrating commercial transistors with printed laser-induced graphene (LIG) as the extended gate. We studied the effect of laser printing pass number and showed that with two laser printing passes (2-pass LIG), the sensor sensitivity and limit of detection (LOD) for AA improved by a factor of 1.6 and 12.8, respectively. Using complementary characterization methods, we attribute the improved response to a balanced interplay of crystallinity, defect density, surface area, surface roughness, pore density and diameter, and mechanical integrity/stability. These factors enhance analyte transport, reduce noise/variability, and ensure consistent sensor performance, making 2-pass LIG the most effective material in this work. Our sensors exhibit promising performance for detecting AA with a selective response in the presence of common salivary interfering molecules, with sensitivity and LOD of 73.67 mV/dec and 54.04 nM in 1× phosphate buffered saline and 81.05 mV/dec and 78.34 nM in artificial saliva, respectively. We also showed that functionalization of the 2-pass LIG gate with S-protein antibody enables the detection of SARS-CoV-2 protein antigens with an ultralow LOD of 52 zg/mL─an improvement of more than 10-fold compared to 1-pass LIG─and 4 particles/mL for virion mimics with a selective response against influenza virus and multiple human coronavirus strains. With low signal drift/hysteresis and wireless capabilities, the developed device holds great potential for improving at-home monitoring and clinical decision-making.
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Affiliation(s)
- Heshmat Asgharian
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Vinay Kammarchedu
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Center for Atomically Thin Multifunctional Coatings, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Pouya Soltan Khamsi
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Caroline Brustoloni
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Aida Ebrahimi
- Department of Electrical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Center for Atomically Thin Multifunctional Coatings, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
- Department of Biomedical Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
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38
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Han Y, Cao Y, Zhuang H, Yao Y, Cao H, Li Z, Wang Z, Zhu Z. Highly Elastic, Fatigue-Resistant, and Antifreezing MXene Functionalized Organohydrogels as Flexible Pressure Sensors for Human Motion Monitoring. ACS APPLIED MATERIALS & INTERFACES 2024; 16:64002-64011. [PMID: 39506450 DOI: 10.1021/acsami.4c12852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2024]
Abstract
Conductive organohydrogels-based flexible pressure sensors have gained considerable attention in health monitoring, artificial skin, and human-computer interaction due to their excellent biocompatibility, wearability, and versatility. However, hydrogels' unsatisfactory mechanical and unstable electrical properties hinder their comprehensive application. Herein, an elastic, fatigue-resistant, and antifreezing poly(vinyl alcohol) (PVA)/lipoic acid (LA) organohydrogel with a double-network structure and reversible cross-linking interactions has been designed, and MXene as a conductive filler is functionalized into organohydrogel to further enhance the diverse sensing performance of flexible pressure sensors. The as-fabricated MXene-based PVA/LA organohydrogels (PLBM) exhibit stable fatigue resistance for over 450 cycles under 40% compressive strain, excellent elasticity, antifreezing properties (<-20 °C), and degradability. Furthermore, the pressure sensors based on the PLBM organohydrogels show a fast response time (62 ms), high sensitivity (S = 0.0402 kPa-1), and excellent stability (over 1000 cycles). The exceptional performance enables the sensors to monitor human movements, such as joint flexion and throat swallowing. Moreover, the sensors integrating with the one-dimensional convolutional neural networks and the long-short-term memory networks deep learning algorithms have been developed to recognize letters with a 93.75% accuracy, representing enormous potential in monitoring human motion and human-computer interaction.
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Affiliation(s)
- Yutong Han
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
| | - Yuzhong Cao
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
| | - Haozhe Zhuang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
| | - Yu Yao
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
| | - Huina Cao
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
| | - Zhanhong Li
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
| | - Zifeng Wang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
| | - Zhigang Zhu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai 200093, China
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Basu P, Banerjee A, Okoro PD, Masoumi A, Kanjilal B, Akbari M, Martins‐Green M, Armstrong DG, Noshadi I. Integration of Functional Polymers and Biosensors to Enhance Wound Healing. Adv Healthc Mater 2024; 13:e2401461. [PMID: 39235365 PMCID: PMC11582501 DOI: 10.1002/adhm.202401461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2024] [Revised: 07/17/2024] [Indexed: 09/06/2024]
Abstract
Biosensors have led to breakthroughs in the treatment of chronic wounds. Since the discovery of the oxygen electrode by Clarke, biosensors have evolved into the design of smart bandages that dispense drugs to treat wounds in response to physiological factors, such as pH or glucose concentration, which indicate pathogenic tendencies. Aptamer-based biosensors have helped identify and characterize pathogenic bacteria in wounds that often form antibiotic-resistant biofilms. Several functional polymers have served as indispensable parts of the fabrication of these biosensors. Beginning with natural polymers such as alginate, chitosan, and silk-based fibroin, which are biodegradable and absorptive, advances have been made in formulating biocompatible synthetic polymers such as polyurethane and polyethylene glycol designed to reduce non-specific binding of proteins and cells, making biosensors less painful or cumbersome for patient use. Recently, polycaprolactone has been developed, which offers ductility and a large surface-area-to-volume ratio. There is still room for advances in the fabrication and use of biosensors for wound healing and in this review, the trend in developing biosensors from biomarker detection to smart dressings to the incorporation of machine learning in designing customized wound patches while making application easier is highlighted and can be used for a long time.
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Affiliation(s)
- Proma Basu
- Department of BioengineeringUniversity of California, RiversideRiversideCA92521USA
| | - Aihik Banerjee
- Department of BioengineeringUniversity of California, RiversideRiversideCA92521USA
| | - Prince David Okoro
- Department of BioengineeringUniversity of California, RiversideRiversideCA92521USA
| | | | - Baishali Kanjilal
- Department of BioengineeringUniversity of California, RiversideRiversideCA92521USA
| | - Mohsen Akbari
- Department of Mechanical EngineeringUniversity of VictoriaVictoriaBCV8P 5C2Canada
| | - Manuela Martins‐Green
- Department of Molecular Cellular and Systems BiologyUniversity of California, RiversideRiversideCA92521USA
| | - David G. Armstrong
- Keck School of Medicine of the University of Southern CaliforniaLos AngelesCA90033USA
| | - Iman Noshadi
- Department of BioengineeringUniversity of California, RiversideRiversideCA92521USA
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40
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Fang Y, Han Y, Yang L, Kankala RK, Wang S, Chen A, Fu C. Conductive hydrogels: intelligent dressings for monitoring and healing chronic wounds. Regen Biomater 2024; 12:rbae127. [PMID: 39776855 PMCID: PMC11703555 DOI: 10.1093/rb/rbae127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 10/08/2024] [Accepted: 10/15/2024] [Indexed: 01/11/2025] Open
Abstract
Conductive hydrogels (CHs) represent a burgeoning class of intelligent wound dressings, providing innovative strategies for chronic wound repair and monitoring. Notably, CHs excel in promoting cell migration and proliferation, exhibit powerful antibacterial and anti-inflammatory properties, and enhance collagen deposition and angiogenesis. These capabilities, combined with real-time monitoring functions, play a pivotal role in accelerating collagen synthesis, angiogenesis and continuous wound surveillance. This review delves into the preparation, mechanisms and applications of CHs in wound management, highlighting their diverse and significant advantages. It emphasizes the effectiveness of CHs in treating various chronic wounds, such as diabetic ulcers, infected wounds, temperature-related injuries and athletic joint wounds. Additionally, it explores the diverse applications of multifunctional intelligent CHs in advanced wound care technologies, encompassing self-powered dressings, electrically-triggered drug delivery, comprehensive diagnostics and therapeutics and scar-free healing. Furthermore, the review highlights the challenges to their broader implementation, explores the future of intelligent wound dressings and discusses the transformative role of CHs in chronic wound management, particularly in the context of the anticipated integration of artificial intelligence (AI). Additionally, this review underscores the challenges hindering the widespread adoption of CHs, delves into the prospects of intelligent wound dressings and elucidates the transformative impact of CHs in managing chronic wounds, especially with the forthcoming integration of AI. This integration promises to facilitate predictive analytics and tailor personalized treatment plans, thereby further refining the healing process and elevating patient satisfaction. Addressing these challenges and harnessing emerging technologies, we postulate, will establish CHs as a cornerstone in revolutionizing chronic wound care, significantly improving patient outcomes.
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Affiliation(s)
- Ying Fang
- Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen, Fujian 361021, P. R. China
| | - Yiran Han
- Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen, Fujian 361021, P. R. China
| | - Lu Yang
- Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen, Fujian 361021, P. R. China
| | - Ranjith Kumar Kankala
- Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen, Fujian 361021, P. R. China
| | - Shibin Wang
- Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen, Fujian 361021, P. R. China
| | - Aizheng Chen
- Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen, Fujian 361021, P. R. China
| | - Chaoping Fu
- Institute of Biomaterials and Tissue Engineering & Fujian Provincial Key Laboratory of Biochemical Technology, Huaqiao University, Xiamen, Fujian 361021, P. R. China
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41
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King SW, Abouharb A, Doggett T, Taufiqurrakhman M, Palan J, Freear B, Pandit H, van Duren BH. A Scoping Review of 'Smart' Dressings for Diagnosing Surgical Site Infection: A Focus on Arthroplasty. Bioengineering (Basel) 2024; 11:1049. [PMID: 39451424 PMCID: PMC11505597 DOI: 10.3390/bioengineering11101049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2024] [Revised: 10/08/2024] [Accepted: 10/15/2024] [Indexed: 10/26/2024] Open
Abstract
Early diagnosis and treatment of surgical wound infection can be challenging. This is especially relevant in the management of periprosthetic joint infection: early detection is key to success and reducing morbidity, mortality and resource use. 'Smart' dressings have been developed to detect parameters suggestive of infection. This scoping review investigates the current status of the field, limited to devices tested in animal models and/or humans, with a focus on their application to arthroplasty. The literature was searched using MEDLINE/PubMed and Embase databases from 2000 to 2023. Original articles assessing external sensing methods for the detection of wound infection in animal models or human participants were included. Sixteen articles were eligible. The results were broadly divided by sensing method: colorimetric, electrochemical and fluorescence/photothermal responses. Six of the devices detected more than one parameter (multimodal), while the rest were unimodal. The most common parameters examined were temperature and pH. Most 'smart' dressings focused on diagnosing infection in chronic wounds, and none were tested in humans with wound infections. There is limited late-stage research into using dressing sensors to diagnose wound infection in post-surgical patients. Future research should explore this to enable inpatient and remote outpatient monitoring of post-operative wounds to detect wound infection.
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Affiliation(s)
- Samuel W. King
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Chapel Allerton Hospital, Chapeltown Road, Leeds LS7 4SA, UK
- Leeds Teaching Hospitals NHS Trust, St. James’s University Hospital, Beckett Street, Leeds LS9 7TF, UK
| | - Alexander Abouharb
- School of Medicine, Worsley Building, University of Leeds, Woodhouse, Leeds LS2 9JT, UK
| | - Thomas Doggett
- School of Medicine, Anglia Ruskin University, Chelmsford CM1 1SQ, UK
| | - Mohamad Taufiqurrakhman
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Chapel Allerton Hospital, Chapeltown Road, Leeds LS7 4SA, UK
| | - Jeya Palan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Chapel Allerton Hospital, Chapeltown Road, Leeds LS7 4SA, UK
- Leeds Teaching Hospitals NHS Trust, St. James’s University Hospital, Beckett Street, Leeds LS9 7TF, UK
| | - Bulut Freear
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Chapel Allerton Hospital, Chapeltown Road, Leeds LS7 4SA, UK
| | - Hemant Pandit
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Chapel Allerton Hospital, Chapeltown Road, Leeds LS7 4SA, UK
- Leeds Teaching Hospitals NHS Trust, St. James’s University Hospital, Beckett Street, Leeds LS9 7TF, UK
| | - Bernard H. van Duren
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Chapel Allerton Hospital, Chapeltown Road, Leeds LS7 4SA, UK
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Chen Y, Xiao H, Fan Q, Tu W, Zhang S, Li X, Hu T. Fully Integrated Biosensing System for Dynamic Monitoring of Sweat Glucose and Real-Time pH Adjustment Based on 3D Graphene MXene Aerogel. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 39365144 DOI: 10.1021/acsami.4c13013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2024]
Abstract
The development of noninvasive glucose sensors capable of continuous monitoring without restricting user mobility is crucial, particularly for managing diabetes, which demands consistent and long-term observation. Traditional sensors often face challenges with accuracy and stability that curtail their practical applications. To address these issues, we have innovatively applied a three-dimensional porous aerogel composed of Ti3C2Tx MXene and reduced graphene oxide (MX-rGO) in electrochemical sensing. It significantly reduces the electron-transfer distance between the enzyme's redox center and the electrode surface while firmly anchoring the enzyme layer to effectively prevent any leakage. Another pivotal advancement in our study is the integration of the sensor with a real-time adaptive calibration mechanism tailored specifically for analyzing sweat glucose. This sensor not only measures glucose levels but also dynamically monitors and adjusts to pH fluctuations in sweat. Such capabilities ensure the precise delivery of physiological data during physical activities, providing strong support for personalized health management.
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Affiliation(s)
- Yuxian Chen
- School of Mechanical Engineering, Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
| | - Haoyu Xiao
- School of Mechanical Engineering, Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
| | - Qiaolin Fan
- School of Mechanical Engineering, Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
| | - Weilong Tu
- School of Mechanical Engineering, Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
| | - Shiqi Zhang
- School of Mechanical Engineering, Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
| | - Xiao Li
- School of Mechanical Engineering, Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
| | - Tao Hu
- School of Mechanical Engineering, Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing 211189, China
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Althumayri M, Das R, Banavath R, Beker L, Achim AM, Ceylan Koydemir H. Recent Advances in Transparent Electrodes and Their Multimodal Sensing Applications. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2405099. [PMID: 39120484 PMCID: PMC11481197 DOI: 10.1002/advs.202405099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2024] [Revised: 07/24/2024] [Indexed: 08/10/2024]
Abstract
This review examines the recent advancements in transparent electrodes and their crucial role in multimodal sensing technologies. Transparent electrodes, notable for their optical transparency and electrical conductivity, are revolutionizing sensors by enabling the simultaneous detection of diverse physical, chemical, and biological signals. Materials like graphene, carbon nanotubes, and conductive polymers, which offer a balance between optical transparency, electrical conductivity, and mechanical flexibility, are at the forefront of this development. These electrodes are integral in various applications, from healthcare to solar cell technologies, enhancing sensor performance in complex environments. The paper addresses challenges in applying these electrodes, such as the need for mechanical flexibility, high optoelectronic performance, and biocompatibility. It explores new materials and innovative techniques to overcome these hurdles, aiming to broaden the capabilities of multimodal sensing devices. The review provides a comparative analysis of different transparent electrode materials, discussing their applications and the ongoing development of novel electrode systems for multimodal sensing. This exploration offers insights into future advancements in transparent electrodes, highlighting their transformative potential in bioelectronics and multimodal sensing technologies.
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Affiliation(s)
- Majed Althumayri
- Department of Biomedical EngineeringTexas A&M UniversityCollege StationTX77843USA
- Center for Remote Health Technologies and SystemsTexas A&M Engineering Experiment StationCollege StationTX77843USA
| | - Ritu Das
- Department of Mechanical EngineeringKoç UniversitySariyerIstanbul34450Turkey
| | - Ramu Banavath
- Department of Biomedical EngineeringTexas A&M UniversityCollege StationTX77843USA
- Center for Remote Health Technologies and SystemsTexas A&M Engineering Experiment StationCollege StationTX77843USA
| | - Levent Beker
- Department of Mechanical EngineeringKoç UniversitySariyerIstanbul34450Turkey
| | - Alin M. Achim
- School of Computer ScienceUniversity of BristolBristolBS8 1QUUK
| | - Hatice Ceylan Koydemir
- Department of Biomedical EngineeringTexas A&M UniversityCollege StationTX77843USA
- Center for Remote Health Technologies and SystemsTexas A&M Engineering Experiment StationCollege StationTX77843USA
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Shrestha S, Shrestha BK, Tettey-Engmann F, Auniq RBZ, Subedi K, Ghimire S, Desai S, Bhattarai N. Zein-Coated Zn Metal Particles-Incorporated Nanofibers: A Potent Fibrous Platform for Loading and Release of Zn Ions for Wound Healing Application. ACS APPLIED MATERIALS & INTERFACES 2024; 16:49197-49217. [PMID: 39235841 DOI: 10.1021/acsami.4c13458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/06/2024]
Abstract
Metal particles incorporated into polymer matrices in various forms and geometries are attractive material platforms for promoting wound healing and preventing infections. However, the fate of these metal particles and their degraded products in the tissue environment are still unknown, as both can produce cytotoxic effects and promote unwanted wound reactions. In this study, we develop biodegradable fibrous biomaterials embedded with metal particles that have an immune activation functions. Initially, biodegradable zinc (Zn) nanoparticles were modified with zein (G), a protein derived from corn. The zein-coated zinc particles (Z-G) were then embedded in polycaprolactone (P) fibers at different weight ratios to create fibrous biomaterials via electrospinning, which were subsequently analyzed for potential wound healing applications. We performed multimodal evaluations of the fibrous scaffolds, examining physicochemical properties such as fiber morphology, mechanical strength, hydrophilicity, degradation, and release of zinc ions (Zn2+), as well as biological properties, including in vitro cell culture studies. We provide evidence that the integration of 2.4 wt % of Z-G particles in polycaprolactone (PCL) nanofibrous scaffolds improved its physicochemical and biological functions. The in vitro cellular response of the scaffolds was evaluated using a series of cytotoxicity assays and immunocytochemistry analyses with three different cell types: mouse-derived fibroblast cell lines (NIH/3T3), human dermal fibroblasts (HDFn), and human umbilical vein endothelial cells (HUVECs). The composite fibrous scaffold exhibited robust activation and proliferation of NIH/3T3 and HDFn cells, along with a significant angiogenic potential in HUVECs. Immunocytochemistry confirmed elevated expression of vimentin and α-smooth muscle actin (α-SMA), suggesting that NIH/3T3 and Haden cells were highly differentiated into myofibroblasts. Additionally, the increased expression of CD31 and VE-cadherin in HUVECs suggests that the scaffold supports tube formation, thereby enhancing neovascularization and promoting an effective immune response. Overall, our findings demonstrate the regenerative potential of the self-enhanced Zn hemostatic bioscaffolds, which deliver both Zn2+ ions and zein proteins to nourish cells. This capability not only modulates cellular activities but also contributes to tissue repair and remodeling, making the scaffolds suitable for wound repair and various bioengineering applications.
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Affiliation(s)
- Sita Shrestha
- Department of Chemical, Biological and Bioengineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States
| | - Bishnu Kumar Shrestha
- Department of Chemical, Biological and Bioengineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States
- Department of Chemistry, North Carolina A&T State University, 1601 E Market St, Greensboro, North Carolina 27411, United States
| | - Felix Tettey-Engmann
- Department of Chemical, Biological and Bioengineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States
- Department of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States
| | - Reedwan Bin Zafar Auniq
- Department of Nanoengineering, Joint School of Nanoscience and Nanoengineering (JSNN), North Carolina A&T State University, Greensboro, North Carolina 27401, United States
| | - Kiran Subedi
- Analytical Services Laboratory, College of Agriculture and Environmental Sciences, North Carolina A&T State University, Greensboro, North Carolina 27411, United States
| | - Sanjaya Ghimire
- Department of Chemical, Biological and Bioengineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States
| | - Salil Desai
- Department of Industrial and Systems Engineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States
| | - Narayan Bhattarai
- Department of Chemical, Biological and Bioengineering, North Carolina A&T State University, Greensboro, North Carolina 27411, United States
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Childs A, Mayol B, Lasalde-Ramírez JA, Song Y, Sempionatto JR, Gao W. Diving into Sweat: Advances, Challenges, and Future Directions in Wearable Sweat Sensing. ACS NANO 2024; 18:24605-24616. [PMID: 39185844 DOI: 10.1021/acsnano.4c10344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/27/2024]
Abstract
Sweat analysis has advanced from diagnosing cystic fibrosis and testing for illicit drugs to noninvasive monitoring of health biomarkers. This article introduces the rapid development of wearable and flexible sweat sensors, highlighting key milestones and various sensing strategies for real-time monitoring of analytes. We discuss challenges such as developing high-performance nanomaterial-based biosensors, ensuring continuous sweat production and sampling, achieving high sweat/blood correlation, and biocompatibility. The potential of machine learning to enhance these sensors for personalized healthcare is presented, enabling real-time tracking and prediction of physiological changes and disease onset. Leveraging advancements in flexible electronics, nanomaterials, biosensing, and data analytics, wearable sweat biosensors promise to revolutionize disease management, prevention, and prediction, promoting healthier lifestyles and transforming medical practices globally.
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Affiliation(s)
- Andre Childs
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States
| | - Beatriz Mayol
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States
| | - José A Lasalde-Ramírez
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, California 91125, United States
| | - Yu Song
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Juliane R Sempionatto
- Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, California 91125, United States
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46
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Zou F, Luo Y, Zhuang W, Xu T. A Fully Integrated Conformal Wearable Ultrasound Patch for Continuous Sonodynamic Therapy. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2409528. [PMID: 39104292 DOI: 10.1002/adma.202409528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 07/27/2024] [Indexed: 08/07/2024]
Abstract
Cancer treatment is a continuous process, that the current therapy cannot meet the requirement well, including radiotherapy and chemotherapy. Wearable ultrasound device has the potential for continuous sonodynamic therapy due to its portability. However, the miniaturization of ultrasonic probe, system integration of device, and the strategy of continuous treatment are still urgent issues to be addressed. Herein, a portable wearable antitumor system is introduced, which utilizes a custom-developed multiplexed ultrasonic patch array (CWUS Patch) to accurately focus ultrasound on the lesion site and controllably stimulate sonosensitizer to produce a large amount of toxic reactive oxygen species (ROS). The system enables dynamic control of the ultrasound patches and allows real-time adjustments to optimize their performance in various applications, providing greater flexibility and precision in healthcare technology. Furthermore, the excellent penetration property of ultrasound into tumor tissues that induce synchronous apoptosis of tumor cells from the inside out is verified through a mouse model of breast cancer. This fully integrated conformal wearable ultrasound system provides a promising approach to noninvasively, continuously, and efficiently treat deep tumors.
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Affiliation(s)
- Faxing Zou
- The Institute for Advanced Study (IAS), Shenzhen University, Shenzhen, Guangdong, 518060, P. R. China
| | - Yong Luo
- The Institute for Advanced Study (IAS), Shenzhen University, Shenzhen, Guangdong, 518060, P. R. China
| | - Wenxuan Zhuang
- The Institute for Advanced Study (IAS), Shenzhen University, Shenzhen, Guangdong, 518060, P. R. China
| | - Tailin Xu
- The Institute for Advanced Study (IAS), Shenzhen University, Shenzhen, Guangdong, 518060, P. R. China
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Zhao J, Gong S, Mu Y, Jia X, Zhou Y, Tian Y, Chao D. Wearable dual-drug controlled release patch for psoriasis treatment. J Colloid Interface Sci 2024; 669:835-843. [PMID: 38749222 DOI: 10.1016/j.jcis.2024.05.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 05/06/2024] [Accepted: 05/09/2024] [Indexed: 05/27/2024]
Abstract
Wearable drug delivery systems (DDS) have made significant advancements in the field of precision medicine, offering precise regulation of drug dosage, location, and timing. The performance qualities that wearable DDS has always strived for are simplicity, efficiency, and intelligence. This paper proposes a wearable dual-drug synergistic release patch. The patch is powered by a built-in magnesium battery and utilizes a hydrogel containing viologen-based hyperbranched polyamidoamine as both a cathode material and an integrated drug reservoir. This design allows for the simultaneous release of both dexamethasone and tannic acid, overcoming the limitations of monotherapy and ensuring effective synergy for on-demand therapy. In a mouse model with praziquimod-induced psoriasis, the patch demonstrated therapeutic efficacy at a low voltage. The inflammatory skin returned to normal after 5 days with the on-demand release of dual drugs. This work provides a promising treatment option considering its straightforward construction and the therapeutic advantages of dual-drug synergy.
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Affiliation(s)
- Jiaxin Zhao
- College of Chemistry, Jilin University, Changchun 130012, China
| | - Shengen Gong
- College of Chemistry, Jilin University, Changchun 130012, China
| | - Yueming Mu
- Department of Dermatology and Venerology of the First Hospital, Jilin University, Changchun 130021, China
| | - Xiaoteng Jia
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China.
| | - Yan Zhou
- State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, China.
| | - Yaping Tian
- Department of Dermatology and Venerology of the First Hospital, Jilin University, Changchun 130021, China.
| | - Danming Chao
- College of Chemistry, Jilin University, Changchun 130012, China.
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48
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Tricou LP, Al-Hawat ML, Cherifi K, Manrique G, Freedman BR, Matoori S. Wound pH-Modulating Strategies for Diabetic Wound Healing. Adv Wound Care (New Rochelle) 2024; 13:446-462. [PMID: 38149883 PMCID: PMC11535470 DOI: 10.1089/wound.2023.0129] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 12/22/2023] [Indexed: 12/28/2023] Open
Abstract
Significance: Chronic diabetic wounds on the lower extremities (diabetic foot ulcers, DFU) are one of the most prevalent and life-threatening complications of diabetes, responsible for significant loss of quality of life and cost to the health care system. Available pharmacologic treatments fail to achieve complete healing in many patients. Recent studies and investigational treatments have highlighted the potential of modulating wound pH in DFU. Recent Advances: Data from in vitro, preclinical, and clinical studies highlight the role of pH in the pathophysiology of DFU, and topical administration of pH-lowering agents have shown promise as a therapeutic strategy for diabetic wounds. In this critical review, we describe the role of pH in DFU pathophysiology and present selected low-molecular-weight and hydrogel-based pH-modulating systems for wound healing and infection control in diabetic wounds. Critical Issues: The molecular mechanisms leading to pH alterations in diabetic wounds are complex and may differ between in vitro models, animal models of diabetes, and the human pathophysiology. Wound pH-lowering bandages for DFU therapy must be tested in established animal models of diabetic wound healing and patients with diabetes to establish a comprehensive benefit-risk profile. Future Directions: As our understanding of the role of pH in the pathophysiology of diabetic wounds is deepening, new treatments for this therapeutic target are being developed and will be tested in preclinical and clinical studies. These therapeutic systems will establish a target product profile for pH-lowering treatments such as an optimal pH profile for each wound healing stage. Thus, controlling wound bed pH could become a powerful tool to accelerate chronic diabetic wound healing.
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Affiliation(s)
- Léo-Paul Tricou
- Faculté de Pharmacie, Université de Montréal, Montréal, Canada
- ISPB Faculté de Pharmacie, Université Claude Bernard Lyon 1, Lyon, France
- Chemical Engineering Department, Polytechnique Montreal, Montréal, Canada
| | | | - Katia Cherifi
- Faculté de Pharmacie, Université de Montréal, Montréal, Canada
| | | | - Benjamin R. Freedman
- Department of Orthopedic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Simon Matoori
- Faculté de Pharmacie, Université de Montréal, Montréal, Canada
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49
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Heng W, Yin S, Min J, Wang C, Han H, Shirzaei Sani E, Li J, Song Y, Rossiter HB, Gao W. A smart mask for exhaled breath condensate harvesting and analysis. Science 2024; 385:954-961. [PMID: 39208112 DOI: 10.1126/science.adn6471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 05/31/2024] [Accepted: 07/17/2024] [Indexed: 09/04/2024]
Abstract
Recent respiratory outbreaks have garnered substantial attention, yet most respiratory monitoring remains confined to physical signals. Exhaled breath condensate (EBC) harbors rich molecular information that could unveil diverse insights into an individual's health. Unfortunately, challenges related to sample collection and the lack of on-site analytical tools impede the widespread adoption of EBC analysis. Here, we introduce EBCare, a mask-based device for real-time in situ monitoring of EBC biomarkers. Using a tandem cooling strategy, automated microfluidics, highly selective electrochemical biosensors, and a wireless reading circuit, EBCare enables continuous multimodal monitoring of EBC analytes across real-life indoor and outdoor activities. We validated EBCare's usability in assessing metabolic conditions and respiratory airway inflammation in healthy participants, patients with chronic obstructive pulmonary disease or asthma, and patients after COVID-19 infection.
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Affiliation(s)
- Wenzheng Heng
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Shukun Yin
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jihong Min
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Canran Wang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Hong Han
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Ehsan Shirzaei Sani
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jiahong Li
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Yu Song
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Harry B Rossiter
- Division of Respiratory and Critical Care Physiology and Medicine, Institute for Respiratory Medicine and Exercise Physiology, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
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50
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Huang Y, Yao K, Zhang Q, Huang X, Chen Z, Zhou Y, Yu X. Bioelectronics for electrical stimulation: materials, devices and biomedical applications. Chem Soc Rev 2024; 53:8632-8712. [PMID: 39132912 DOI: 10.1039/d4cs00413b] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Bioelectronics is a hot research topic, yet an important tool, as it facilitates the creation of advanced medical devices that interact with biological systems to effectively diagnose, monitor and treat a broad spectrum of health conditions. Electrical stimulation (ES) is a pivotal technique in bioelectronics, offering a precise, non-pharmacological means to modulate and control biological processes across molecular, cellular, tissue, and organ levels. This method holds the potential to restore or enhance physiological functions compromised by diseases or injuries by integrating sophisticated electrical signals, device interfaces, and designs tailored to specific biological mechanisms. This review explains the mechanisms by which ES influences cellular behaviors, introduces the essential stimulation principles, discusses the performance requirements for optimal ES systems, and highlights the representative applications. From this review, we can realize the potential of ES based bioelectronics in therapy, regenerative medicine and rehabilitation engineering technologies, ranging from tissue engineering to neurological technologies, and the modulation of cardiovascular and cognitive functions. This review underscores the versatility of ES in various biomedical contexts and emphasizes the need to adapt to complex biological and clinical landscapes it addresses.
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Affiliation(s)
- Ya Huang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Kuanming Yao
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Qiang Zhang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Xingcan Huang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Zhenlin Chen
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Yu Zhou
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
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