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Liu G, Dou X, Zhang P, Yin S, Tan Q, Jin X, Li C, Zhang X. Development of a wearable microfluidic amperometric sensor based on spatial three-electrode system for sweat glucose analysis. Talanta 2025; 293:128101. [PMID: 40215721 DOI: 10.1016/j.talanta.2025.128101] [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: 01/28/2025] [Revised: 03/24/2025] [Accepted: 04/05/2025] [Indexed: 05/14/2025]
Abstract
Most amperometric glucose sensors utilize nanomaterials to increase the surface area of the working electrode for sensitivity enhancement. However, this approach not only increases the cost and complicates the fabrication process, but also results in functional surfaces with limited durability. We propose a wearable microfluidic amperometric sensor featuring a spatially arranged three-electrode system (TES) for sweat glucose analysis. We optimize sensing electrodes' shape, size, spacing, and spatial arrangement through simulations and electrochemical measurements by comparing cyclic voltammogram behavior. The spatial TES is then designed based on the geometry of the microfluidic chamber, and the sensor is fabricated using a combination of laser cutting, screen printing, and layer-by-layer assembly techniques. The wearable microfluidic amperometric glucose sensor exhibits excellent linearity and specificity in in-vitro characterization. Additionally, it achieves comparable detection sensitivity (approximately 7.2 μA/mM) relative to sensors utilizing nanomaterials. By continuously analyzing glucose variations in sweat samples from the subject's abdomen, we validate the reliability and practicality of this device for real-time monitoring of sweat glucose.
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Affiliation(s)
- Guodong Liu
- School of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314011, China
| | - Xiaolong Dou
- School of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China
| | - Pinna Zhang
- Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University, Beijing, China
| | - Sijie Yin
- School of Automation, Beijing Institute of Technology, Beijing, 100081, China
| | - Qifeng Tan
- School of Mechanical Engineering, Jiangsu University of Technology, Zhongwu Avenue, 213001, Changzhou, China
| | - Xin Jin
- School of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314011, China
| | - Chaojiang Li
- School of Mechanical Engineering, Beijing Institute of Technology, 5 South Zhongguancun Street, Haidian District, Beijing, 100081, China; Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, 314011, China.
| | - Xianchao Zhang
- Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province, Jiaxing University, Jiaxing, 314011, China; Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems, Jiaxing University, Jiaxing, 314001, China.
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2
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Li Z, Luo D, Zhang Y, Niu X, Liu H. Smart Health Monitoring: Review of Electrochemical Biosensors for Cortisol Monitoring. Adv Healthc Mater 2025; 14:e2404454. [PMID: 40099568 DOI: 10.1002/adhm.202404454] [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: 11/11/2024] [Revised: 02/26/2025] [Indexed: 03/20/2025]
Abstract
Cortisol, also known as the stress hormone, is a crucial corticosteroid hormone that significantly increases secretion in the human body when facing notable stress. Monitoring cortisol levels is crucial for personal stress management and the diagnosis and treatment of certain diseases. Electrochemical biosensors combine the efficient sensitivity of electrochemical technology with the high specificity of biological recognition processes, making them widely applicable in the analysis of human body fluid components. This work outlines the working mechanism of cortisol electrochemical biosensors, focusing particularly on sensing elements such as antibodies, aptamers, and molecularly imprinted polymers. It provides detailed explanations of the operational principles of these different recognition elements. This work summarizes and evaluates the latest advancements in electrochemical biosensors for detecting cortisol in human body fluids, discussing the influence of different recognition elements on sensor design and electrochemical performance. Subsequently, through a comparative analysis of various sensor performances, the work further discusses the challenges in translating laboratory achievements into practical applications, including enhancing key metrics such as sensor reusability, reproducibility, long-term stability, continuous monitoring capability, and response time. Finally, it offers insights and recommendations for achieving real-time, continuous, and long-term monitoring with cortisol electrochemical biosensors.
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Affiliation(s)
- Zhijie Li
- School of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China
- Institute of Intelligent Wearable Electronic Textiles, Tiangong University, Tianjin, 300387, China
| | - Dan Luo
- School of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China
- Institute of Intelligent Wearable Electronic Textiles, Tiangong University, Tianjin, 300387, China
| | - Yaqian Zhang
- School of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China
- Institute of Intelligent Wearable Electronic Textiles, Tiangong University, Tianjin, 300387, China
| | - Xin Niu
- Institute of Intelligent Wearable Electronic Textiles, Tiangong University, Tianjin, 300387, China
- School of Arts, Tiangong University, Tianjin, 300387, China
| | - Hao Liu
- School of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China
- Institute of Intelligent Wearable Electronic Textiles, Tiangong University, Tianjin, 300387, China
- Key Laboratory of Advanced Textile Composite Materials of Ministry of Education, Tiangong University, Tianjin, 300387, China
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3
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Wang Y, Liu C, Zhao W, Wang Q, Sun X, Zhang S. Biosensors and Biomarkers for the Detection of Motion Sickness. Adv Healthc Mater 2025; 14:e2403606. [PMID: 39901439 DOI: 10.1002/adhm.202403606] [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: 09/20/2024] [Revised: 01/23/2025] [Indexed: 02/05/2025]
Abstract
Motion sickness (MS) is a prevalent syndrome that predominantly occurs during transportation and virtual reality (VR). The absence of reliable indicators and detection methods makes precise diagnosis difficult. Biomarker concentrations and trends may imply individual susceptibility, symptom classification, and the specific progression of MS. It is therefore essential to explore biosensors capable of providing sensitive, accurate, and real-time monitoring of biomarkers. This review provides a summary of the pathogenesis and biological pathways underlying MS, followed by an examination of biomarkers and their research progress. The most recent electrochemical biosensors developed for the non-invasive detection of representative biomarkers (e.g., cortisol, α-amylase, and estrogen) are comprehensively summarized. The effectiveness of these biosensors in practical application is discussed. It is anticipated that electrochemical biosensors can be gradually improved from the sampling methods, multimodal combinations, and data processing, which can facilitate the detection of MS toward individuation, refinement, and intelligence.
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Affiliation(s)
- Yanbing Wang
- Faculty of Science and Engineering, University of Nottingham, Ningbo, 315100, China
| | - Chen Liu
- Faculty of Science and Engineering, University of Nottingham, Ningbo, 315100, China
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
| | - Wenjie Zhao
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
| | - Qingfeng Wang
- Nottingham University Business School China, University of Nottingham, Ningbo, Zhejiang, 315100, China
| | - Xu Sun
- Faculty of Science and Engineering, University of Nottingham, Ningbo, 315100, China
- Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham, Ningbo, 315100, China
| | - Sheng Zhang
- Faculty of Science and Engineering, University of Nottingham, Ningbo, 315100, China
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
- State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China
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4
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Sheffield Z, Paul P, Krishnakumar S, Pan D. Current Strategies and Future Directions of Wearable Biosensors for Measuring Stress Biochemical Markers for Neuropsychiatric Applications. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2411339. [PMID: 39688117 PMCID: PMC11791988 DOI: 10.1002/advs.202411339] [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: 09/15/2024] [Revised: 11/21/2024] [Indexed: 12/18/2024]
Abstract
Most wearable biosensors aimed at capturing psychological state target stress biomarkers in the form of physical symptoms that can correlate with dysfunction in the central nervous system (CNS). However, such markers lack the specificity needed for diagnostic or preventative applications. Wearable biochemical sensors (WBSs) have the potential to fill this gap, however, the technology is still in its infancy. Most WBSs proposed thus far target cortisol. Although cortisol detection is demonstrated as a viable method for approximating the extent and severity of psychological stress, the hormone also lacks specificity. Multiplex WBSs that simultaneously target cortisol alongside other viable stress-related biochemical markers (SBMs) can prove to be indispensable for understanding how psychological stress contributes to the pathophysiology of neuropsychiatric illnesses (NPIs) and, thus, lead to the discovery of new biomarkers and more objective clinical tools. However, none target more than one SBM implicated in NPIs. Till this review, cortisol's connection to dysfunctions in the CNS, to other SBMs, and their implication in various NPIs has not been discussed in the context of developing WBS technology. As such, this review is meant to inform the biosensing and neuropsychiatric communities of viable future directions and possible challenges for WBS technology for neuropsychiatric applications.
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Affiliation(s)
- Zach Sheffield
- Huck Institutes of the Life SciencesThe Pennsylvania State UniversityState CollegePA16802USA
- Department of Nuclear EngineeringThe Pennsylvania State UniversityState CollegePA16802USA
- The Center for Advanced Sensing TechnologyUniversity of Maryland – Baltimore CountyBaltimoreMD21250USA
- Chemical, Biochemicaland Environmental Engineering DepartmentUniversity of Maryland – Baltimore CountyBaltimoreMD21250USA
| | - Priyanka Paul
- Department of PediatricsUniversity of Maryland Baltimore School of MedicineBaltimoreMD21201USA
| | - Shraddha Krishnakumar
- Huck Institutes of the Life SciencesThe Pennsylvania State UniversityState CollegePA16802USA
| | - Dipanjan Pan
- Huck Institutes of the Life SciencesThe Pennsylvania State UniversityState CollegePA16802USA
- Department of Nuclear EngineeringThe Pennsylvania State UniversityState CollegePA16802USA
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Cho S, Won C, Kwon C, Kim H, Lee S, Yoon K, Lee M, Kim J, Lee M, Lee S, Lee J, Song E, Mei Y, Lee J, Lee T. Smart Bioelectronic Nanomesh Face Masks with Permeability and Flexibility for Monitoring Cortisol in Saliva. ACS Sens 2025; 10:148-158. [PMID: 39801273 DOI: 10.1021/acssensors.4c01531] [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: 01/25/2025]
Abstract
Bioelectronic face masks can easily collect biomarkers in saliva, in which free cortisol is abundant. However, conventional bioelectronic face masks involve significant challenges in terms of permeability and inhalation due to their nonpermeable film-type structure. Herein, we introduce a flexible and permeable nanomesh-based wearable biosensor designed for bioelectronic face masks that monitor cortisol levels. The diameter of the nanofiber matrix has a range of 200 to 500 nm and offers outstanding flexibility (2% resistance change at a bending radius of 2 mm), reliability (0.3% resistance change at a bending radius of 5 mm after 1000 bending cycles), and permeability (116.91 g m-2 h-1 at 18 °C with 40% humidity, which is 10 times higher compared with film) based on the nanoporous structure. We evaluated the electrochemical responses of functionalized interdigitated electrodes on a flexible and permeable poly(vinylidene fluoride-co-hexafluoropropylene) (PVDF-HFP) nanomesh. Our nanomesh cortisol biosensors demonstrated exceptional sensitivity to cortisol, even at low concentrations, with a detection limit as low as 10 pM. Furthermore, we measured cortisol in clinical samples, such as artificial saliva and human saliva, using nanomesh-based bioelectronic face masks. This study highlights the potential for further applications of bioelectronic face masks for detecting numerous biomarkers.
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Affiliation(s)
- Sungjoon Cho
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Chihyeong Won
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California 91125, United States
| | - Chaebeen Kwon
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Hwajoong Kim
- Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Republic of Korea
| | - Sanghyeon Lee
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Kukro Yoon
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Minkyu Lee
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Jinho Kim
- Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Republic of Korea
| | - Mugeun Lee
- Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Republic of Korea
| | - Seungmin Lee
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Jinhan Lee
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Enming Song
- Department of Materials Science, Fudan University, Shanghai 200433, China
| | - Yongfeng Mei
- Department of Materials Science, Fudan University, Shanghai 200433, China
| | - Jaehong Lee
- Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Republic of Korea
| | - Taeyoon Lee
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
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Liu Y, Hu S, Gan N, Yu Z. Wearable Patch Biosensor through Electrothermal Film-Stimulated Sweat Secretion for Continuous Sweat Glucose Analysis at Rest. Anal Chem 2024; 96:18510-18518. [PMID: 39523533 DOI: 10.1021/acs.analchem.4c04271] [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: 11/16/2024]
Abstract
Wearable patch biosensors for noninvasive and continuous diabetes management through sweat glucose analysis present a promising prospect. However, how to obtain sweat samples safely and effectively remains a huge challenge, especially in a resting state. In this work, we propose an innovative wearable patch biosensor through a heat-stimulated approach for sweat collection. A silver nanowire-loaded electrothermal film was designed as the heat source to stimulate sweat glands for sweat secretion. Subsequently, the secreted sweat sample was transported and enriched through microfluidic channels, which was continuously and sensitively analyzed by a Prussian blue and glucose oxidase comodified glucose electrochemical biosensor. Under optimal conditions, its sensitivity could achieve 14 μM sweat glucose within 15 min, which was 17 min shorter than that without heating. The specificity, reproducibility, and accuracy were also adequate. To achieve on-body perspiration monitoring of human subjects, the wearable patch biosensor was integrated with a portable electrochemical workstation, a temperature controller, and a power source. The glucose concentration was presented on a smartphone. Results showed that the glucose concentration in sweat detected by the wearable biosensor presented a highly consistent trend with the blood glucose measured by a blood glucose meter throughout the day with normal meals. Compared with other conventional sweat stimulation strategies, the simple device and safe principle made it more suitable for individuals who were sedentary or at rest. This work provides a new approach to realizing wearable patch biosensors for personalized health monitoring.
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Affiliation(s)
- Yuting Liu
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Shuhao Hu
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Ning Gan
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Zhenzhong Yu
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Material Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
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Moulahoum H, Ghorbanizamani F. The LOD paradox: When lower isn't always better in biosensor research and development. Biosens Bioelectron 2024; 264:116670. [PMID: 39151260 DOI: 10.1016/j.bios.2024.116670] [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: 05/06/2024] [Revised: 08/06/2024] [Accepted: 08/12/2024] [Indexed: 08/19/2024]
Abstract
Biosensor research has long focused on achieving the lowest possible Limits of Detection (LOD), driving significant advances in sensitivity and opening up new possibilities in analysis. However, this intense focus on low LODs may not always meet the practical needs or suit the actual uses of these devices. While technological improvements are impressive, they can sometimes overlook important factors such as detection range, ease of use, and market readiness, which are vital for biosensors to be effective in real-world applications. This review advocates for a balanced approach to biosensor development, emphasizing the need to align technological advancements with practical utility. We delve into various applications, including the detection of cancer biomarkers, pathology-related biomarkers, and illicit drugs, illustrating the critical role of LOD within these contexts. By considering clinical needs and broader design aspects like cost-effectiveness, sustainability, and regulatory compliance, we argue that integrating technical progress with practicality will enhance the impact of biosensors. Such an approach ensures that biosensors are not only technically sound but also widely useable and beneficial in real-world applications. Addressing the diverse analytical parameters alongside user expectations and market demands will likely maximize the real-world impact of biosensors.
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Affiliation(s)
- Hichem Moulahoum
- Biochemistry Department, Faculty of Science, Ege University, 35100, Izmir, Turkiye.
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8
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Gao N, Xu G, Chang G, Wu Y. From Lab to Life: Self-Powered Sweat Sensors and Their Future in Personal Health Monitoring. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2409178. [PMID: 39467262 DOI: 10.1002/advs.202409178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 09/27/2024] [Indexed: 10/30/2024]
Abstract
The rapid development of wearable sweat sensors has demonstrated their potential for continuous, non-invasive disease diagnosis and health monitoring. Emerging energy harvesters capable of converting various environmental energy sources-biomechanical, thermal, biochemical, and solar-into electrical energy are revolutionizing power solutions for wearable devices. Based on self-powered technology, the integration of the energy harvesters with wearable sweat sensors can drive the device for biosensing, signal processing, and data transmission. As a result, self-powered sweat sensors are able to operate continuously without external power or charging, greatly facilitating the development of wearable electronics and personalized healthcare. This review focuses on the recent advances in self-powered sweat sensors for personalized healthcare, covering sweat sensors, energy harvesters, energy management, and applications. The review begins with the foundations of wearable sweat sensors, providing an overview of their detection methods, materials, and wearable devices. Then, the working mechanism, structure, and a characteristic of different types of energy harvesters are discussed. The features and challenges of different energy harvesters in energy supply and energy management of sweat sensors are emphasized. The review concludes with a look at the future prospects of self-powered sweat sensors, outlining the trajectory of the field and its potential to flourish.
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Affiliation(s)
- Nan Gao
- Institute of Intelligent Sport and Proactive Health, Department of Health and Physical Education, Jianghan University, Wuhan, 430056, China
| | - Guodong Xu
- Institute of Intelligent Sport and Proactive Health, Department of Health and Physical Education, Jianghan University, Wuhan, 430056, China
| | - Gang Chang
- Ministry of Education Key Laboratory for the Green Preparation and Application of Functional Materials, Hubei Key Laboratory of Polymer Materials, School of Materials Science and Engineering, Hubei University, No.368 Youyi Avenue, Wuchang, Wuhan, 430062, China
| | - Yuxiang Wu
- Institute of Intelligent Sport and Proactive Health, Department of Health and Physical Education, Jianghan University, Wuhan, 430056, China
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Rossi F, Trakoolwilaiwan T, Gigli V, Tortolini C, Lenzi A, Isidori AM, Thanh NTK, Antiochia R. Progress in nanoparticle-based electrochemical biosensors for hormone detection. NANOSCALE 2024; 16:18134-18164. [PMID: 39254475 DOI: 10.1039/d4nr02075h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/11/2024]
Abstract
Hormones are chemical messengers that regulate a wide range of physiological processes including metabolism, development, growth, reproduction and mood. The concentration of hormones that orchestrate the numerous bodily functions is very low (1 nM or less). Efforts have been made to develop highly sensitive tools to detect them. This review represents a critical comparison between different types of nanoparticle-based electrochemical biosensors for the detection of various hormones, namely cortisol, sex hormones (estradiol, progesterone, testosterone), insulin, thyroid-stimulating hormone (TSH) and growth hormone (GH). The electrochemical biosensors investigated for each hormone are first divided on the basis of the biological fluid tested for their detection, and successively on the basis of the electrochemical transducer utilized in the device (voltammetric or impedimetric). Focus is placed on the nanoparticles employed and the successive electrode modification developed in order to improve detection sensitivity and specificity and biosensor stability. Limit of detection (LOD), linear range, reproducibility and possibility of regeneration for continuous reuse are also investigated and compared. The review also addresses the recent trends in the development of wearable biosensors and point-of-care testing for hormone detection in clinical diagnostics useful for endocrinology research, and the future perspectives regarding the integration of nanomaterials, microfluidics, near field communication (NFC) technology and portable devices.
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Affiliation(s)
- Francesco Rossi
- ICCOM-CNR, Polo Scientifico, Via Madonna del piano 10, Sesto Fiorentino, FI, 50019, Italy
| | - Thithawat Trakoolwilaiwan
- Biophysics Group, Department of Physics and Astronomy, University College London, Gower Street, London WC1E 6BT, UK
- UCL Healthcare Biomagnetics and Nanomaterials Laboratories, 21 Albemarle Street, London W1S 4BS, UK.
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Valeria Gigli
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Cristina Tortolini
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | - Andrea Lenzi
- Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Nguyen Thi Kim Thanh
- UCL Healthcare Biomagnetics and Nanomaterials Laboratories, 21 Albemarle Street, London W1S 4BS, UK.
- National Nanotechnology Center (NANOTEC), National Science and Technology Development Agency (NSTDA), Pathum Thani, Thailand
| | - Riccarda Antiochia
- Department of Chemistry and Drug Technologies, Sapienza University of Rome, Rome, Italy.
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10
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Alavi SE, Alharthi S, Alavi SF, Alavi SZ, Zahra GE, Raza A, Ebrahimi Shahmabadi H. Microfluidics for personalized drug delivery. Drug Discov Today 2024; 29:103936. [PMID: 38428803 DOI: 10.1016/j.drudis.2024.103936] [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: 12/07/2023] [Revised: 02/15/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024]
Abstract
This review highlights the transformative impact of microfluidic technology on personalized drug delivery. Microfluidics addresses issues in traditional drug synthesis, providing precise control and scalability in nanoparticle fabrication, and microfluidic platforms show high potential for versatility, offering patient-specific dosing and real-time monitoring capabilities, all integrated into wearable technology. Covalent conjugation of antibodies to nanoparticles improves bioactivity, driving innovations in drug targeting. The integration of microfluidics with sensor technologies and artificial intelligence facilitates real-time feedback and autonomous adaptation in drug delivery systems. Key challenges, such as droplet polydispersity and fluidic handling, along with future directions focusing on scalability and reliability, are essential considerations in advancing microfluidics for personalized drug delivery.
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Affiliation(s)
- Seyed Ebrahim Alavi
- School of Medicine and Dentistry, Griffith University, Gold Coast, QLD 4215, Australia.
| | - Sitah Alharthi
- Department of Pharmaceutical Sciences, College of Pharmacy, Shaqra University, Al-Dawadmi Campus, Al-Dawadmi 11961, Saudi Arabia
| | - Seyedeh Fatemeh Alavi
- State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, and Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, Fujian 361005, PR China
| | - Seyed Zeinab Alavi
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan 7718175911, Iran
| | - Gull E Zahra
- Government College University Faisalabad, Faisalabad, Pakistan
| | - Aun Raza
- School of Pharmacy, Fudan University, Shanghai 201203, PR China
| | - Hasan Ebrahimi Shahmabadi
- Immunology of Infectious Diseases Research Center, Research Institute of Basic Medical Sciences, Rafsanjan University of Medical Sciences, Rafsanjan 7718175911, Iran.
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11
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Xing Y, Wang Y, Li X, Pang S. Digital microfluidics methods for nucleic acid detection: A mini review. BIOMICROFLUIDICS 2024; 18:021501. [PMID: 38456173 PMCID: PMC10917463 DOI: 10.1063/5.0180125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Accepted: 02/01/2024] [Indexed: 03/09/2024]
Abstract
Many serious infectious diseases have occurred throughout human history. Rapid and accurate detection as well as the isolation of infected individuals, through nucleic acid testing, are effective means of containing the spread of these viruses. However, traditional nucleic acid testing methods rely on complex machines and specialized personnel, making it difficult to achieve large-scale, high-throughput, and rapid detection. In recent years, digital microfluidics has emerged as a promising technology that integrates various fields, including electrokinetics, acoustics, optics, magnetism, and mechanics. By leveraging the advantages of these different technologies, digital microfluidic chips offer several benefits, such as high detection throughput, integration of multiple functions, low reagent consumption, and portability. This rapid and efficient testing is crucial in the timely detection and isolation of infected individuals to prevent the virus spread. Another advantage is the low reagent consumption of digital microfluidic chips. Compared to traditional methods, these chips require smaller volumes of reagents, resulting in cost savings and reduced waste. Furthermore, digital microfluidic chips are portable and can be easily integrated into point-of-care testing devices. This enables testing to be conducted in remote or resource-limited areas, where access to complex laboratory equipment may be limited. Onsite testing reduces the time and cost associated with sample transportation. In conclusion, bioassay technologies based on digital microfluidic principles have the potential to significantly improve infectious disease detection and control. By enabling rapid, high-throughput, and portable testing, these technologies enhance our ability to contain the spread of infectious diseases and effectively manage public health outbreaks.
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Affiliation(s)
- Youqiang Xing
- School of Mechanical Engineering, Southeast University, Nanjing 211189, Jiangsu Province, People’s Republic of China
| | - Yan Wang
- Clinical Laboratory, Yantai Yuhuangding Hospital, Yantai 264000, Shandong Province, People’s Republic of China
| | - Xiang Li
- Bio-manufacturing Engineering Laboratory, Tsinghua Shenzhen International Graduate School, Tsinghua University, Guangdong 518000, Shenzhen, People’s Republic of China
| | - Shangran Pang
- Jinzhong Normal Junior College, 189 Guang'an Street, Yuci District, Jinzhong 030600, Shanxi Province, People’s Republic of China
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12
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Saha T, Mukherjee S, Dickey MD, Velev OD. Harvesting and manipulating sweat and interstitial fluid in microfluidic devices. LAB ON A CHIP 2024; 24:1244-1265. [PMID: 38197332 DOI: 10.1039/d3lc00874f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Microfluidic devices began to be used to facilitate sweat and interstitial fluid (ISF) sensing in the mid-2010s. Since then, numerous prototypes involving microfluidics have been developed in different form factors for sensing biomarkers found in these fluids under in vitro, ex vivo, and in vivo (on-body) settings. These devices transport and manipulate biofluids using microfluidic channels composed of silicone, polymer, paper, or fiber. Fluid flow transport and sample management can be achieved by controlling the flow rate, surface morphology of the channel, and rate of fluid evaporation. Although many devices have been developed for estimating sweat rate, electrolyte, and metabolite levels, only a handful have been able to proceed beyond laboratory testing and reach the stage of clinical trials and commercialization. To further this technology, this review reports on the utilization of microfluidics towards sweat and ISF management and transport. The review is distinguished from other recent reviews by focusing on microfluidic principles of sweat and ISF generation, transport, extraction, and management. Challenges and prospects are highlighted, with a discussion on how to transition such prototypes towards personalized healthcare monitoring systems.
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Affiliation(s)
- Tamoghna Saha
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Sneha Mukherjee
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Orlin D Velev
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
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Wu L, Xiong J, Xiao G, Ju J, Sun W, Wang W, Ma Y, Ran R, Qiao Y, Li C, Yu L, Lu Z. Smart salt-responsive thread for highly sensitive microfluidic glucose detection in sweat. LAB ON A CHIP 2024; 24:776-786. [PMID: 38197467 DOI: 10.1039/d3lc00975k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Thread-based microfluidic colorimetric sensors have been deemed a potential tool that may be incorporated into textiles for non-invasive sweat analysis. Nevertheless, their poor performance significantly limits their practical uses in sweat glucose detection down to 20 μM. Herein, a microfluidic glucose sensing device containing a salt-responsive thread is developed for the highly sensitive detection of glucose in human sweat. By grafting a zwitterionic polymer brush-which could react to ionic strength by changing the conformation of the polymer chains from the collapsing state to the stretching state-onto the cotton thread, the salt-responsive thread was created. Compared to the pristine cotton thread, the modified thread has better ion-capture capabilities, a more noticeable swelling effect, and a higher ability to absorb water. These enable a significant enrichment of glucose when the saline solution passes through it. The salt-responsive thread was employed to construct a thread/paper-based microfluidic sensing device for the monitoring of glucose in artificial sweat, exhibiting a sensitivity of -0.255 μM-1 and a detection limit of 14.7 μM. In comparison to the pristine cotton thread-based device, the performance is significantly superior. Using a hydrophobic fabric and salt-responsive threads, a glucose-sensing headband was prepared for on-body sweat glucose monitoring. With the use of a smartphone-based image analysis system, the headband can detect the concentration of glucose in a volunteer's perspiration. Using the thread-based salt-responsive zwitterionic polymer brush might offer a novel approach to creating wearable sweat sensors with extremely high sensitivity.
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Affiliation(s)
- Liang Wu
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Jing Xiong
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Gang Xiao
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Jun Ju
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Wei Sun
- Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, P. R. China
| | - Wei Wang
- Singapore Institute of Manufacturing Technology, Singapore 138669, Singapore
| | - Yan Ma
- College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Ruilong Ran
- College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Yan Qiao
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Changming Li
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215011, P. R. China
| | - Ling Yu
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Zhisong Lu
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
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Lou C, Yang H, Hou Y, Huang H, Qiu J, Wang C, Sang Y, Liu H, Han L. Microfluidic Platforms for Real-Time In Situ Monitoring of Biomarkers for Cellular Processes. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307051. [PMID: 37844125 DOI: 10.1002/adma.202307051] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 09/05/2023] [Indexed: 10/18/2023]
Abstract
Cellular processes are mechanisms carried out at the cellular level that are aimed at guaranteeing the stability of the organism they comprise. The investigation of cellular processes is key to understanding cell fate, understanding pathogenic mechanisms, and developing new therapeutic technologies. Microfluidic platforms are thought to be the most powerful tools among all methodologies for investigating cellular processes because they can integrate almost all types of the existing intracellular and extracellular biomarker-sensing methods and observation approaches for cell behavior, combined with precisely controlled cell culture, manipulation, stimulation, and analysis. Most importantly, microfluidic platforms can realize real-time in situ detection of secreted proteins, exosomes, and other biomarkers produced during cell physiological processes, thereby providing the possibility to draw the whole picture for a cellular process. Owing to their advantages of high throughput, low sample consumption, and precise cell control, microfluidic platforms with real-time in situ monitoring characteristics are widely being used in cell analysis, disease diagnosis, pharmaceutical research, and biological production. This review focuses on the basic concepts, recent progress, and application prospects of microfluidic platforms for real-time in situ monitoring of biomarkers in cellular processes.
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Affiliation(s)
- Chengming Lou
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
| | - Hongru Yang
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
| | - Ying Hou
- Institute for Advanced Interdisciplinary Research (IAIR), University of Jinan, Jinan, 250022, P. R. China
| | - Haina Huang
- Institute for Advanced Interdisciplinary Research (IAIR), University of Jinan, Jinan, 250022, P. R. China
| | - Jichuan Qiu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
| | - Chunhua Wang
- Institute for Advanced Interdisciplinary Research (IAIR), University of Jinan, Jinan, 250022, P. R. China
| | - Yuanhua Sang
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
| | - Hong Liu
- State Key Laboratory of Crystal Materials, Shandong University, Jinan, 250100, P. R. China
- Institute for Advanced Interdisciplinary Research (IAIR), University of Jinan, Jinan, 250022, P. R. China
| | - Lin Han
- Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266000, P. R. China
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Weber CJ, Clay OM, Lycan RE, Anderson GK, Simoska O. Advances in electrochemical biosensor design for the detection of the stress biomarker cortisol. Anal Bioanal Chem 2024; 416:87-106. [PMID: 37989847 DOI: 10.1007/s00216-023-05047-1] [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: 09/06/2023] [Revised: 10/30/2023] [Accepted: 11/08/2023] [Indexed: 11/23/2023]
Abstract
The monitoring of stress levels in humans has become increasingly relevant, given the recent incline of stress-related mental health disorders, lifestyle impacts, and chronic physiological diseases. Long-term exposure to stress can induce anxiety and depression, heart disease, and risky behaviors, such as drug and alcohol abuse. Biomarker molecules can be quantified in biological fluids to study human stress. Cortisol, specifically, is a hormone biomarker produced in the adrenal glands with biofluid concentrations that directly correlate to stress levels in humans. The rapid, real-time detection of cortisol is necessary for stress management and predicting the onset of psychological and physical ailments. Current methods, including mass spectrometry and immunoassays, are effective for sensitive cortisol quantification. However, these techniques provide only single measurements which pose challenges in the continuous monitoring of stress levels. Additionally, these analytical methods often require trained personnel to operate expensive instrumentation. Alternatively, low-cost electrochemical biosensors enable the real-time detection and continuous monitoring of cortisol levels while also providing adequate analytical figures of merit (e.g., sensitivity, selectivity, sensor response times, detection limits, and reproducibility) in a simple design platform. This review discusses the recent developments in electrochemical biosensor design for the detection of cortisol in human biofluids. Special emphasis is given to biosensor recognition elements, including antibodies, molecularly imprinted polymers (MIPs), and aptamers, as critical components of electrochemical biosensors for cortisol detection. Furthermore, the advantages and limiting factors of various electrochemical techniques and sensing in complex biofluid matrices are overviewed. Remarks on the current challenges and future perspectives regarding electrochemical biosensors for stress monitoring are provided, including matrix effects (pH dependence and biological interferences), wearability, and large-scale production.
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Affiliation(s)
- Courtney J Weber
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA
| | - Olivia M Clay
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA
| | - Reese E Lycan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA
| | - Gracie K Anderson
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA
| | - Olja Simoska
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC, 29208, USA.
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Schindler-Gmelch L, Capito K, Steudte-Schmiedgen S, Kirschbaum C, Berking M. Hair Cortisol Research in Posttraumatic Stress Disorder - 10 Years of Insights and Open Questions. A Systematic Review. Curr Neuropharmacol 2024; 22:1697-1719. [PMID: 37550910 PMCID: PMC11284720 DOI: 10.2174/1570159x21666230807112425] [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: 10/27/2022] [Revised: 01/05/2023] [Accepted: 01/13/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Cortisol is one of the most extensively studied biomarkers in the context of trauma/posttraumatic stress disorder (PTSD). For more than a decade, hair cortisol concentrations (HCC) have been measured in this context, leading to a two-staged dysregulation model. Specifically, an elevated secretion during/immediately after trauma exposure eventually reverts to hyposecretion with increasing time since trauma exposure has been postulated. OBJECTIVE The aim of our systematic review was to re-evaluate the two-staged secretion model with regard to the accumulated diagnostic, prognostic, and intervention-related evidence of HCC in lifetime trauma exposure and PTSD. Further, we provide an overview of open questions, particularly with respect to reporting standards and quality criteria. METHOD A systematic literature search yielded 5,046 records, of which 31 studies were included. RESULTS For recent/ongoing (traumatic) stress, the predictions of cortisol hypersecretion could be largely confirmed. However, for the assumed hyposecretion temporally more distal to trauma exposure, the results are more ambiguous. As most studies did not report holistic overviews of trauma history and confounding influences, this may largely be attributable to methodological limitations. Data on the prognostic and intervention-related benefits of HCC remain sparse. CONCLUSION Over the last decade, important insights could be gained about long-term cortisol secretion patterns following lifetime trauma exposure and PTSD. This systematic review integrates these insights into an updated secretion model for trauma/PTSD. We conclude with recommendations for improving HCC research in the context of trauma/PTSD in order to answer the remaining open questions.
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Affiliation(s)
- Lena Schindler-Gmelch
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Klara Capito
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Susann Steudte-Schmiedgen
- Department of Psychotherapy and Psychosomatic Medicine, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | | | - Matthias Berking
- Department of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
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Saha T, Del Caño R, De la Paz E, Sandhu SS, Wang J. Access and Management of Sweat for Non-Invasive Biomarker Monitoring: A Comprehensive Review. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2206064. [PMID: 36433842 DOI: 10.1002/smll.202206064] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/07/2022] [Indexed: 06/16/2023]
Abstract
Sweat is an important biofluid presents in the body since it regulates the internal body temperature, and it is relatively easy to access on the skin unlike other biofluids and contains several biomarkers that are also present in the blood. Although sweat sensing devices have recently displayed tremendous progress, most of the emerging devices primarily focus on the sensor development, integration with electronics, wearability, and data from in vitro studies and short-term on-body trials during exercise. To further the advances in sweat sensing technology, this review aims to present a comprehensive report on the approaches to access and manage sweat from the skin toward improved sweat collection and sensing. It is begun by delineating the sweat secretion mechanism through the skin, and the historical perspective of sweat, followed by a detailed discussion on the mechanisms governing sweat generation and management on the skin. It is concluded by presenting the advanced applications of sweat sensing, supported by a discussion of robust, extended-operation epidermal wearable devices aiming to strengthen personalized healthcare monitoring systems.
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Affiliation(s)
- Tamoghna Saha
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
| | - Rafael Del Caño
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
- Department of Physical Chemistry and Applied Thermodynamics, University of Cordoba, Cordoba, E-14014, Spain
| | - Ernesto De la Paz
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
| | - Samar S Sandhu
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
| | - Joseph Wang
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
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18
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Karuppaiah G, Lee MH, Bhansali S, Manickam P. Electrochemical sensors for cortisol detection: Principles, designs, fabrication, and characterisation. Biosens Bioelectron 2023; 239:115600. [PMID: 37611448 DOI: 10.1016/j.bios.2023.115600] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 08/09/2023] [Accepted: 08/12/2023] [Indexed: 08/25/2023]
Abstract
Psychological stress is a major factor contributing to health discrepancies among individuals. Sustained exposure to stress triggers signalling pathways in the brain, which leading to the release of stress hormones in the body. Cortisol, a steroid hormone, is a significant biomarker for stress management due to its responsibility in the body's reply to stress. The release of cortisol in bloodstream prepares the body for a "fight or flight" response by increasing heart rate, blood pressure, metabolism, and suppressing the immune system. Detecting cortisol in biological samples is crucial for understanding its role in stress and personalized healthcare. Traditional techniques for cortisol detection have limitations, prompting researchers to explore alternative strategies. Electrochemical sensing has emerged as a reliable method for point-of-care (POC) cortisol detection. This review focuses on the progress made in electrochemical sensors for cortisol detection, covering their design, principle, and electroanalytical methodologies. The analytical performance of these sensors is also analysed and summarized. Despite significant advancements, the development of electrochemical cortisol sensors faces challenges such as biofouling, sample preparation, sensitivity, flexibility, stability, and recognition layer performance. Therefore, the need to develop more sensitive electrodes and materials is emphasized. Finally, we discussed the potential strategies for electrode design and provides examples of sensing approaches. Moreover, the encounters of translating research into real world applications are addressed.
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Affiliation(s)
- Gopi Karuppaiah
- Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, 630 003, Tamil Nadu, India; School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea
| | - Min-Ho Lee
- School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Republic of Korea
| | - Shekhar Bhansali
- Department of Electrical and Computer Engineering, Florida International University, Miami, FL, 33174, USA.
| | - Pandiaraj Manickam
- Electrodics and Electrocatalysis Division, CSIR-Central Electrochemical Research Institute (CECRI), Karaikudi, 630 003, Tamil Nadu, India; Academy of Scientific and Innovative Research, Ghaziabad, 201 002, Uttar Pradesh, India.
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19
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Li S, Li H, Lu Y, Zhou M, Jiang S, Du X, Guo C. Advanced Textile-Based Wearable Biosensors for Healthcare Monitoring. BIOSENSORS 2023; 13:909. [PMID: 37887102 PMCID: PMC10605256 DOI: 10.3390/bios13100909] [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: 08/28/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/28/2023]
Abstract
With the innovation of wearable technology and the rapid development of biosensors, wearable biosensors based on flexible textile materials have become a hot topic. Such textile-based wearable biosensors promote the development of health monitoring, motion detection and medical management, and they have become an important support tool for human healthcare monitoring. Textile-based wearable biosensors not only non-invasively monitor various physiological indicators of the human body in real time, but they also provide accurate feedback of individual health information. This review examines the recent research progress of fabric-based wearable biosensors. Moreover, materials, detection principles and fabrication methods for textile-based wearable biosensors are introduced. In addition, the applications of biosensors in monitoring vital signs and detecting body fluids are also presented. Finally, we also discuss several challenges faced by textile-based wearable biosensors and the direction of future development.
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Affiliation(s)
- Sheng Li
- School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China; (S.L.); (H.L.); (Y.L.); (M.Z.); (S.J.)
- CCZU-ARK Institute of Carbon Materials, Nanjing 210012, China
| | - Huan Li
- School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China; (S.L.); (H.L.); (Y.L.); (M.Z.); (S.J.)
| | - Yongcai Lu
- School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China; (S.L.); (H.L.); (Y.L.); (M.Z.); (S.J.)
| | - Minhao Zhou
- School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China; (S.L.); (H.L.); (Y.L.); (M.Z.); (S.J.)
| | - Sai Jiang
- School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China; (S.L.); (H.L.); (Y.L.); (M.Z.); (S.J.)
| | - Xiaosong Du
- School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China; (S.L.); (H.L.); (Y.L.); (M.Z.); (S.J.)
| | - Chang Guo
- CCZU-ARK Institute of Carbon Materials, Nanjing 210012, China
- School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, China
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Saeidi M, Chenani H, Orouji M, Adel Rastkhiz M, Bolghanabadi N, Vakili S, Mohamadnia Z, Hatamie A, Simchi A(A. Electrochemical Wearable Biosensors and Bioelectronic Devices Based on Hydrogels: Mechanical Properties and Electrochemical Behavior. BIOSENSORS 2023; 13:823. [PMID: 37622909 PMCID: PMC10452289 DOI: 10.3390/bios13080823] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/20/2023] [Accepted: 08/04/2023] [Indexed: 08/26/2023]
Abstract
Hydrogel-based wearable electrochemical biosensors (HWEBs) are emerging biomedical devices that have recently received immense interest. The exceptional properties of HWEBs include excellent biocompatibility with hydrophilic nature, high porosity, tailorable permeability, the capability of reliable and accurate detection of disease biomarkers, suitable device-human interface, facile adjustability, and stimuli responsive to the nanofiller materials. Although the biomimetic three-dimensional hydrogels can immobilize bioreceptors, such as enzymes and aptamers, without any loss in their activities. However, most HWEBs suffer from low mechanical strength and electrical conductivity. Many studies have been performed on emerging electroactive nanofillers, including biomacromolecules, carbon-based materials, and inorganic and organic nanomaterials, to tackle these issues. Non-conductive hydrogels and even conductive hydrogels may be modified by nanofillers, as well as redox species. All these modifications have led to the design and development of efficient nanocomposites as electrochemical biosensors. In this review, both conductive-based and non-conductive-based hydrogels derived from natural and synthetic polymers are systematically reviewed. The main synthesis methods and characterization techniques are addressed. The mechanical properties and electrochemical behavior of HWEBs are discussed in detail. Finally, the prospects and potential applications of HWEBs in biosensing, healthcare monitoring, and clinical diagnostics are highlighted.
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Affiliation(s)
- Mohsen Saeidi
- Department of Materials Science and Engineering, Sharif University of Technology, Tehran 14588-89694, Iran; (H.C.); (M.O.); (M.A.R.); (N.B.)
| | - Hossein Chenani
- Department of Materials Science and Engineering, Sharif University of Technology, Tehran 14588-89694, Iran; (H.C.); (M.O.); (M.A.R.); (N.B.)
| | - Mina Orouji
- Department of Materials Science and Engineering, Sharif University of Technology, Tehran 14588-89694, Iran; (H.C.); (M.O.); (M.A.R.); (N.B.)
| | - MahsaSadat Adel Rastkhiz
- Department of Materials Science and Engineering, Sharif University of Technology, Tehran 14588-89694, Iran; (H.C.); (M.O.); (M.A.R.); (N.B.)
| | - Nafiseh Bolghanabadi
- Department of Materials Science and Engineering, Sharif University of Technology, Tehran 14588-89694, Iran; (H.C.); (M.O.); (M.A.R.); (N.B.)
| | - Shaghayegh Vakili
- Polymer Research Laboratory, Department of Chemistry, Faculty of Science, University of Zanjan, Zanjan 45371-38791, Iran;
| | - Zahra Mohamadnia
- Department of Chemistry, Institute for Advanced Studies in Basic Science (IASBS), Gava Zang, Zanjan 45137-66731, Iran;
| | - Amir Hatamie
- Department of Chemistry, Institute for Advanced Studies in Basic Science (IASBS), Gava Zang, Zanjan 45137-66731, Iran;
- Department of Chemistry and Molecular Biology, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Abdolreza (Arash) Simchi
- Department of Materials Science and Engineering, Sharif University of Technology, Tehran 14588-89694, Iran; (H.C.); (M.O.); (M.A.R.); (N.B.)
- Institute for Nanoscience and Nanotechnology, Sharif University of Technology, Tehran 14588-89694, Iran
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Yuan X, Ouaskioud O, Yin X, Li C, Ma P, Yang Y, Yang PF, Xie L, Ren L. Epidermal Wearable Biosensors for the Continuous Monitoring of Biomarkers of Chronic Disease in Interstitial Fluid. MICROMACHINES 2023; 14:1452. [PMID: 37512763 PMCID: PMC10385734 DOI: 10.3390/mi14071452] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 07/15/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023]
Abstract
Healthcare technology has allowed individuals to monitor and track various physiological and biological parameters. With the growing trend of the use of the internet of things and big data, wearable biosensors have shown great potential in gaining access to the human body, and providing additional functionality to analyze physiological and biochemical information, which has led to a better personalized and more efficient healthcare. In this review, we summarize the biomarkers in interstitial fluid, introduce and explain the extraction methods for interstitial fluid, and discuss the application of epidermal wearable biosensors for the continuous monitoring of markers in clinical biology. In addition, the current needs, development prospects and challenges are briefly discussed.
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Affiliation(s)
- Xichen Yuan
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- MOE Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Oumaima Ouaskioud
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Xu Yin
- MOE Key Laboratory of Micro and Nano Systems for Aerospace, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
| | - Chen Li
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Pengyi Ma
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Yang Yang
- Ministry of Education Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Chongqing University, Chongqing 400030, China
| | - Peng-Fei Yang
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Li Xie
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Li Ren
- Key Laboratory of Flexible Electronics of Zhejiang Province, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an 710072, China
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22
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Lin PH, Nien HH, Li BR. Wearable Microfluidics for Continuous Assay. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:181-203. [PMID: 36888989 DOI: 10.1146/annurev-anchem-091322-082930] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The development of wearable devices provides approaches for the realization of self-health care. Easily carried wearable devices allow individual health monitoring at any place whenever necessary. There are various interesting monitoring targets, including body motion, organ pressure, and biomarkers. An efficient use of space in one small device is a promising resolution to increase the functions of wearable devices. Through integration of a microfluidic system into wearable devices, embedding complicated structures in one design becomes possible and can enable multifunction analyses within a limited device volume. This article reviews the reported microfluidic wearable devices, introduces applications to different biofluids, discusses characteristics of the design strategies and sensing principles, and highlights the attractive configurations of each device. This review seeks to provide a detailed summary of recent advanced microfluidic wearable devices. The overview of advanced key components is the basis for the development of future microfluidic wearable devices.
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Affiliation(s)
- Pei-Heng Lin
- Institute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan;
- Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Hsin-Hua Nien
- Institute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan;
- College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Department of Radiation Oncology, Cathay General Hospital, Taipei, Taiwan
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Bor-Ran Li
- Institute of Biomedical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan;
- Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Center for Emergent Functional Matter of Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
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23
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Zhang X, Zhao J, Xie P, Wang S. Biomedical Applications of Electrets: Recent Advance and Future Perspectives. J Funct Biomater 2023; 14:320. [PMID: 37367284 PMCID: PMC10299394 DOI: 10.3390/jfb14060320] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 05/23/2023] [Accepted: 06/08/2023] [Indexed: 06/28/2023] Open
Abstract
Recently, electrical stimulation, as a non-pharmacological physical stimulus, has been widely exploited in biomedical and clinical applications due to its ability to significantly enhance cell proliferation and differentiation. As a kind of dielectric material with permanent polarization characteristics, electrets have demonstrated tremendous potential in this field owing to their merits of low cost, stable performance, and excellent biocompatibility. This review provides a comprehensive summary of the recent advances in electrets and their biomedical applications. We first provide a brief introduction to the development of electrets, as well as typical materials and fabrication methods. Subsequently, we systematically describe the recent advances of electrets in biomedical applications, including bone regeneration, wound healing, nerve regeneration, drug delivery, and wearable electronics. Finally, the present challenges and opportunities have also been discussed in this emerging field. This review is anticipated to provide state-of-the-art insights on the electrical stimulation-related applications of electrets.
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Affiliation(s)
- Xinyuan Zhang
- School of Health Science and Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Road, Shanghai 200093, China;
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, No. 168 Changhai Road, Shanghai 200433, China; (J.Z.); (P.X.)
| | - Jiulong Zhao
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, No. 168 Changhai Road, Shanghai 200433, China; (J.Z.); (P.X.)
| | - Pei Xie
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, No. 168 Changhai Road, Shanghai 200433, China; (J.Z.); (P.X.)
| | - Shige Wang
- School of Materials and Chemistry, University of Shanghai for Science and Technology, No. 516 Jungong Road, Shanghai 200093, China
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24
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Su T, Mi Z, Xia Y, Jin D, Xu Q, Hu X, Shu Y. A wearable sweat electrochemical aptasensor based on the Ni-Co MOF nanosheet-decorated CNTs/PU film for monitoring of stress biomarker. Talanta 2023; 260:124620. [PMID: 37148688 DOI: 10.1016/j.talanta.2023.124620] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 04/15/2023] [Accepted: 04/30/2023] [Indexed: 05/08/2023]
Abstract
Monitoring cortisol, a hormone released by the adrenal cortex in response to stress, is essential to evaluate the endocrine response to stress stimuli. While the current cortisol sensing methods require large laboratory settings, complex assay, and professional personnel. Herein, a novel flexible and wearable electrochemical aptasensor based on a Ni-Co metal-organic frameworks (MOF) nanosheet-decorated carbon nanotubes (CNTs)/polyurethane (PU) film is developed for rapid and reliable detection of cortisol in sweat. First, the CNTs/PU (CP) film was prepared by a modified wet spinning technology, and the CNTs/polyvinyl alcohol (PVA) solution was thermally deposited on the surface of CP film to form the highly flexible CNTs/PVA/CP (CCP) film with excellent conductivity. Then aminated Ni-Co MOF nanosheet prepared by a facile solvothermal method was conjugated with streptavidin and modified on the CCP film. Biofunctional MOF can effectively capture cortisol aptamer due to its excellent specific surface area. In addition, the MOF with peroxidase activity can catalytic oxidization of hydroquinone (HQ) by hydrogen peroxide (H2O2), which could amplify the peak current signal. The catalytic activity of Ni-Co MOF was substantially suppressed in the HQ/H2O2 system due to the formation of the aptamer-cortisol complex, which reduced the current signal, thereby realizing highly sensitive and selective detection of cortisol. The sensor has a linear range of 0.1-100 ng/mL and a detection limit of 0.032 ng/mL. Meanwhile, the sensor showed high accuracy for cortisol detection under mechanical deformation conditions. More importantly, the prepared MOF/CCP film based three-electrode was assembled with the polydimethylsiloxane (PDMS) substrate, and the sweat-cloth was used as the sweat collection channel to fabricate a wearable sensor patch for monitoring of cortisol in volunteers' sweat in the morning and evening. This flexible and non-invasive sweat cortisol aptasensor shows great potential for quantitative stress monitoring and management.
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Affiliation(s)
- Tong Su
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China
| | - Ziyi Mi
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China
| | - Youyuan Xia
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China
| | - Dangqin Jin
- Department of Chemical Engineering, Yangzhou Polytechnic Institute, Yangzhou 225127, PR China
| | - Qin Xu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China
| | - Xiaoya Hu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China
| | - Yun Shu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China.
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25
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Min J, Tu J, Xu C, Lukas H, Shin S, Yang Y, Solomon SA, Mukasa D, Gao W. Skin-Interfaced Wearable Sweat Sensors for Precision Medicine. Chem Rev 2023; 123:5049-5138. [PMID: 36971504 PMCID: PMC10406569 DOI: 10.1021/acs.chemrev.2c00823] [Citation(s) in RCA: 182] [Impact Index Per Article: 91.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Wearable sensors hold great potential in empowering personalized health monitoring, predictive analytics, and timely intervention toward personalized healthcare. Advances in flexible electronics, materials science, and electrochemistry have spurred the development of wearable sweat sensors that enable the continuous and noninvasive screening of analytes indicative of health status. Existing major challenges in wearable sensors include: improving the sweat extraction and sweat sensing capabilities, improving the form factor of the wearable device for minimal discomfort and reliable measurements when worn, and understanding the clinical value of sweat analytes toward biomarker discovery. This review provides a comprehensive review of wearable sweat sensors and outlines state-of-the-art technologies and research that strive to bridge these gaps. The physiology of sweat, materials, biosensing mechanisms and advances, and approaches for sweat induction and sampling are introduced. Additionally, design considerations for the system-level development of wearable sweat sensing devices, spanning from strategies for prolonged sweat extraction to efficient powering of wearables, are discussed. Furthermore, the applications, data analytics, commercialization efforts, challenges, and prospects of wearable sweat sensors for precision medicine are discussed.
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Affiliation(s)
- Jihong Min
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Jiaobing Tu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Changhao Xu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Heather Lukas
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Soyoung Shin
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Yiran Yang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Samuel A. Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Daniel Mukasa
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
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26
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Kim H, Song J, Kim S, Lee S, Park Y, Lee S, Lee S, Kim J. Recent Advances in Multiplexed Wearable Sensor Platforms for Real-Time Monitoring Lifetime Stress: A Review. BIOSENSORS 2023; 13:bios13040470. [PMID: 37185545 PMCID: PMC10136450 DOI: 10.3390/bios13040470] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/06/2023] [Accepted: 04/09/2023] [Indexed: 05/17/2023]
Abstract
Researchers are interested in measuring mental stress because it is linked to a variety of diseases. Real-time stress monitoring via wearable sensor systems can aid in the prevention of stress-related diseases by allowing stressors to be controlled immediately. Physical tests, such as heart rate or skin conductance, have recently been used to assess stress; however, these methods are easily influenced by daily life activities. As a result, for more accurate stress monitoring, validations requiring two or more stress-related biomarkers are demanded. In this review, the combinations of various types of sensors (hereafter referred to as multiplexed sensor systems) that can be applied to monitor stress are discussed, referring to physical and chemical biomarkers. Multiplexed sensor systems are classified as multiplexed physical sensors, multiplexed physical-chemical sensors, and multiplexed chemical sensors, with the effect of measuring multiple biomarkers and the ability to measure stress being the most important. The working principles of multiplexed sensor systems are subdivided, with advantages in measuring multiple biomarkers. Furthermore, stress-related chemical biomarkers are still limited to cortisol; however, we believe that by developing multiplexed sensor systems, it will be possible to explore new stress-related chemical biomarkers by confirming their correlations to cortisol. As a result, the potential for further development of multiplexed sensor systems, such as the development of wearable electronics for mental health management, is highlighted in this review.
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Affiliation(s)
- Heena Kim
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Jaeyoon Song
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Sehyeon Kim
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Suyoung Lee
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Yejin Park
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Seungjun Lee
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Seunghee Lee
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
| | - Jinsik Kim
- Department of Biomedical Engineering, College of Life Science and Biotechnology, Dongguk University, Seoul 04620, Republic of Korea
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27
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Kongkaew S, Meng L, Limbut W, Liu G, Kanatharana P, Thavarungkul P, Mak WC. Craft-and-Stick Xurographic Manufacturing of Integrated Microfluidic Electrochemical Sensing Platform. BIOSENSORS 2023; 13:bios13040446. [PMID: 37185521 PMCID: PMC10136003 DOI: 10.3390/bios13040446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/07/2023] [Accepted: 03/29/2023] [Indexed: 05/17/2023]
Abstract
An innovative modular approach for facile design and construction of flexible microfluidic biosensor platforms based on a dry manufacturing "craft-and-stick" approach is developed. The design and fabrication of the flexible graphene paper electrode (GPE) unit and polyethylene tetraphthalate sheet (PET)6/adhesive fluidic unit are completed by an economic and generic xurographic craft approach. The GPE widths and the microfluidic channels can be constructed down to 300 μm and 200 μm, respectively. Both units were assembled by simple double-sided adhesive tapes into a microfluidic integrated GPE (MF-iGPE) that are flexible, thin (<0.5 mm), and lightweight (0.4 g). We further functionalized the iGPE with Prussian blue and glucose oxidase for the fabrication of MF-iGPE glucose biosensors. With a closed-channel PET fluidic pattern, the MF-iGPE glucose biosensors were packaged and sealed to protect the integrated device from moisture for storage and could easily open with scissors for sample loading. Our glucose biosensors showed 2 linear dynamic regions of 0.05-1.0 and 1.0-5.5 mmol L-1 glucose. The MF-iGPE showed good reproducibility for glucose detection (RSD < 6.1%, n = 6) and required only 10 μL of the analyte. This modular craft-and-stick manufacturing approach could potentially further develop along the concept of paper-crafted model assembly kits suitable for low-resource laboratories or classroom settings.
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Affiliation(s)
- Supatinee Kongkaew
- Biosensors and Bioelectronics Centre, Division of Sensor and Actuator Systems, Department of Physics, Chemistry and Biology, Linköping University, SE-581 83 Linköping, Sweden
- Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
- Center of Excellence for Innovation in Chemistry, Faculty of Science, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
- Division of Health and Applied Sciences, Faculty of Science, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
| | - Lingyin Meng
- Biosensors and Bioelectronics Centre, Division of Sensor and Actuator Systems, Department of Physics, Chemistry and Biology, Linköping University, SE-581 83 Linköping, Sweden
| | - Warakorn Limbut
- Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
- Center of Excellence for Innovation in Chemistry, Faculty of Science, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
- Division of Health and Applied Sciences, Faculty of Science, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
| | - Guozhen Liu
- School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China
| | - Proespichaya Kanatharana
- Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
- Center of Excellence for Innovation in Chemistry, Faculty of Science, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
| | - Panote Thavarungkul
- Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
- Center of Excellence for Innovation in Chemistry, Faculty of Science, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai 90112, Songkhla, Thailand
| | - Wing Cheung Mak
- Biosensors and Bioelectronics Centre, Division of Sensor and Actuator Systems, Department of Physics, Chemistry and Biology, Linköping University, SE-581 83 Linköping, Sweden
- Department of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
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28
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Luo Y, Abidian MR, Ahn JH, Akinwande D, Andrews AM, Antonietti M, Bao Z, Berggren M, Berkey CA, Bettinger CJ, Chen J, Chen P, Cheng W, Cheng X, Choi SJ, Chortos A, Dagdeviren C, Dauskardt RH, Di CA, Dickey MD, Duan X, Facchetti A, Fan Z, Fang Y, Feng J, Feng X, Gao H, Gao W, Gong X, Guo CF, Guo X, Hartel MC, He Z, Ho JS, Hu Y, Huang Q, Huang Y, Huo F, Hussain MM, Javey A, Jeong U, Jiang C, Jiang X, Kang J, Karnaushenko D, Khademhosseini A, Kim DH, Kim ID, Kireev D, Kong L, Lee C, Lee NE, Lee PS, Lee TW, Li F, Li J, Liang C, Lim CT, Lin Y, Lipomi DJ, Liu J, Liu K, Liu N, Liu R, Liu Y, Liu Y, Liu Z, Liu Z, Loh XJ, Lu N, Lv Z, Magdassi S, Malliaras GG, Matsuhisa N, Nathan A, Niu S, Pan J, Pang C, Pei Q, Peng H, Qi D, Ren H, Rogers JA, Rowe A, Schmidt OG, Sekitani T, Seo DG, Shen G, Sheng X, Shi Q, Someya T, Song Y, Stavrinidou E, Su M, Sun X, Takei K, Tao XM, Tee BCK, Thean AVY, Trung TQ, et alLuo Y, Abidian MR, Ahn JH, Akinwande D, Andrews AM, Antonietti M, Bao Z, Berggren M, Berkey CA, Bettinger CJ, Chen J, Chen P, Cheng W, Cheng X, Choi SJ, Chortos A, Dagdeviren C, Dauskardt RH, Di CA, Dickey MD, Duan X, Facchetti A, Fan Z, Fang Y, Feng J, Feng X, Gao H, Gao W, Gong X, Guo CF, Guo X, Hartel MC, He Z, Ho JS, Hu Y, Huang Q, Huang Y, Huo F, Hussain MM, Javey A, Jeong U, Jiang C, Jiang X, Kang J, Karnaushenko D, Khademhosseini A, Kim DH, Kim ID, Kireev D, Kong L, Lee C, Lee NE, Lee PS, Lee TW, Li F, Li J, Liang C, Lim CT, Lin Y, Lipomi DJ, Liu J, Liu K, Liu N, Liu R, Liu Y, Liu Y, Liu Z, Liu Z, Loh XJ, Lu N, Lv Z, Magdassi S, Malliaras GG, Matsuhisa N, Nathan A, Niu S, Pan J, Pang C, Pei Q, Peng H, Qi D, Ren H, Rogers JA, Rowe A, Schmidt OG, Sekitani T, Seo DG, Shen G, Sheng X, Shi Q, Someya T, Song Y, Stavrinidou E, Su M, Sun X, Takei K, Tao XM, Tee BCK, Thean AVY, Trung TQ, Wan C, Wang H, Wang J, Wang M, Wang S, Wang T, Wang ZL, Weiss PS, Wen H, Xu S, Xu T, Yan H, Yan X, Yang H, Yang L, Yang S, Yin L, Yu C, Yu G, Yu J, Yu SH, Yu X, Zamburg E, Zhang H, Zhang X, Zhang X, Zhang X, Zhang Y, Zhang Y, Zhao S, Zhao X, Zheng Y, Zheng YQ, Zheng Z, Zhou T, Zhu B, Zhu M, Zhu R, Zhu Y, Zhu Y, Zou G, Chen X. Technology Roadmap for Flexible Sensors. ACS NANO 2023; 17:5211-5295. [PMID: 36892156 PMCID: PMC11223676 DOI: 10.1021/acsnano.2c12606] [Show More Authors] [Citation(s) in RCA: 332] [Impact Index Per Article: 166.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.
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Affiliation(s)
- Yifei Luo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Centre for Flexible Devices (iFLEX), School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Mohammad Reza Abidian
- Department of Biomedical Engineering, University of Houston, Houston, Texas 77024, United States
| | - Jong-Hyun Ahn
- School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Deji Akinwande
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Anne M Andrews
- Department of Chemistry and Biochemistry, California NanoSystems Institute, and Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, and Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Markus Antonietti
- Colloid Chemistry Department, Max Planck Institute of Colloids and Interfaces, 14476 Potsdam, Germany
| | - Zhenan Bao
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Magnus Berggren
- Laboratory of Organic Electronics, Department of Science and Technology, Campus Norrköping, Linköping University, 83 Linköping, Sweden
- Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC), SE-100 44 Stockholm, Sweden
| | - Christopher A Berkey
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Christopher John Bettinger
- Department of Biomedical Engineering and Department of Materials Science and Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Wenlong Cheng
- Nanobionics Group, Department of Chemical and Biological Engineering, Monash University, Clayton, Australia, 3800
- Monash Institute of Medical Engineering, Monash University, Clayton, Australia3800
| | - Xu Cheng
- Applied Mechanics Laboratory, Department of Engineering Mechanics, Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Seon-Jin Choi
- Division of Materials of Science and Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea
| | - Alex Chortos
- School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Canan Dagdeviren
- Media Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Reinhold H Dauskardt
- Department of Materials Science and Engineering, Stanford University, Stanford, California 94301, United States
| | - Chong-An Di
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Xiangfeng Duan
- Department of Chemistry and Biochemistry, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Antonio Facchetti
- Department of Chemistry and the Materials Research Center, Northwestern University, Evanston, Illinois 60208, United States
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering and Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, China
| | - Yin Fang
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Jianyou Feng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Xue Feng
- Laboratory of Flexible Electronics Technology, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
| | - Huajian Gao
- School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, California, 91125, United States
| | - Xiwen Gong
- Department of Chemical Engineering, Department of Materials Science and Engineering, Department of Electrical Engineering and Computer Science, Applied Physics Program, and Macromolecular Science and Engineering Program, University of Michigan, Ann Arbor, Michigan, 48109 United States
| | - Chuan Fei Guo
- Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xiaojun Guo
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Martin C Hartel
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Zihan He
- Beijing National Laboratory for Molecular Sciences, CAS Key Laboratory of Organic Solids, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - John S Ho
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore 117456, Singapore
| | - Youfan Hu
- School of Electronics and Center for Carbon-Based Electronics, Peking University, Beijing 100871, China
| | - Qiyao Huang
- School of Fashion and Textiles, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Yu Huang
- Department of Materials Science and Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Fengwei Huo
- Key Laboratory of Flexible Electronics (KLOFE) and Institute of Advanced Materials (IAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, PR China
| | - Muhammad M Hussain
- mmh Labs, Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana 47906, United States
| | - Ali Javey
- Electrical Engineering and Computer Sciences, University of California, Berkeley, California 94720, United States
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States
| | - Unyong Jeong
- Department of Materials Science and Engineering, Pohang University of Science and Engineering (POSTECH), Pohang, Gyeong-buk 37673, Korea
| | - Chen Jiang
- Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
| | - Xingyu Jiang
- Department of Biomedical Engineering, Southern University of Science and Technology, No 1088, Xueyuan Road, Xili, Nanshan District, Shenzhen, Guangdong 518055, PR China
| | - Jiheong Kang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Daniil Karnaushenko
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
| | | | - Dae-Hyeong Kim
- Center for Nanoparticle Research, Institute for Basic Science (IBS), School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Il-Doo Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea
| | - Dmitry Kireev
- Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas 78712, United States
- Microelectronics Research Center, The University of Texas at Austin, Austin, Texas 78758, United States
| | - Lingxuan Kong
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
- NUS Graduate School-Integrative Sciences and Engineering Programme (ISEP), National University of Singapore, Singapore 119077, Singapore
| | - Nae-Eung Lee
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Pooi See Lee
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
- Singapore-HUJ Alliance for Research and Enterprise (SHARE), Campus for Research Excellence and Technological Enterprise (CREATE), Singapore 138602, Singapore
| | - Tae-Woo Lee
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
- School of Chemical and Biological Engineering, Seoul National University, Seoul 08826, Republic of Korea
- Institute of Engineering Research, Research Institute of Advanced Materials, Seoul National University, Soft Foundry, Seoul 08826, Republic of Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Fengyu Li
- College of Chemistry and Materials Science, Jinan University, Guangzhou, Guangdong 510632, China
| | - Jinxing Li
- Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Neuroscience Program, BioMolecular Science Program, and Institute for Quantitative Health Science and Engineering, Michigan State University, East Lansing, Michigan 48823, United States
| | - Cuiyuan Liang
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Chwee Teck Lim
- Department of Biomedical Engineering, National University of Singapore, Singapore 117583, Singapore
- Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 119276, Singapore
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Darren J Lipomi
- Department of Nano and Chemical Engineering, University of California, San Diego, La Jolla, California 92093-0448, United States
| | - Jia Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Kai Liu
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Nan Liu
- Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University, Beijing 100875, PR China
| | - Ren Liu
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Yuxin Liu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Biomedical Engineering, N.1 Institute for Health, Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 119077, Singapore
| | - Yuxuan Liu
- Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Zhiyuan Liu
- Neural Engineering Centre, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 518055
| | - Zhuangjian Liu
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xian Jun Loh
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Nanshu Lu
- Department of Aerospace Engineering and Engineering Mechanics, Department of Electrical and Computer Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Texas Materials Institute, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Zhisheng Lv
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
| | - Shlomo Magdassi
- Institute of Chemistry and the Center for Nanoscience and Nanotechnology, The Hebrew University of Jerusalem, Jerusalem 9190401, Israel
| | - George G Malliaras
- Electrical Engineering Division, Department of Engineering, University of Cambridge CB3 0FA, Cambridge United Kingdom
| | - Naoji Matsuhisa
- Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
| | - Arokia Nathan
- Darwin College, University of Cambridge, Cambridge CB3 9EU, United Kingdom
| | - Simiao Niu
- Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey 08854, United States
| | - Jieming Pan
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
| | - Changhyun Pang
- School of Chemical Engineering and Samsung Advanced Institute for Health Science and Technology, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Qibing Pei
- Department of Materials Science and Engineering, Department of Mechanical and Aerospace Engineering, California NanoSystems Institute, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Huisheng Peng
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Dianpeng Qi
- School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
| | - Huaying Ren
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, California, 90095, United States
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60208, United States
- Department of Materials Science and Engineering, Department of Mechanical Engineering, Department of Biomedical Engineering, Departments of Electrical and Computer Engineering and Chemistry, and Department of Neurological Surgery, Northwestern University, Evanston, Illinois 60208, United States
| | - Aaron Rowe
- Becton, Dickinson and Company, 1268 N. Lakeview Avenue, Anaheim, California 92807, United States
- Ready, Set, Food! 15821 Ventura Blvd #450, Encino, California 91436, United States
| | - Oliver G Schmidt
- Research Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz 09126, Germany
- Material Systems for Nanoelectronics, Chemnitz University of Technology, Chemnitz 09107, Germany
- Nanophysics, Faculty of Physics, TU Dresden, Dresden 01062, Germany
| | - Tsuyoshi Sekitani
- The Institute of Scientific and Industrial Research (SANKEN), Osaka University, Osaka, Japan 5670047
| | - Dae-Gyo Seo
- Department of Materials Science and Engineering, Seoul National University, Seoul 08826, Republic of Korea
| | - Guozhen Shen
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China
| | - Xing Sheng
- Department of Electronic Engineering, Beijing National Research Center for Information Science and Technology, Institute for Precision Medicine, Center for Flexible Electronics Technology, and IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, 100084, China
| | - Qiongfeng Shi
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, Singapore 117608, Singapore
- National University of Singapore Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou 215123, China
| | - Takao Someya
- Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Yanlin Song
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Eleni Stavrinidou
- Laboratory of Organic Electronics, Department of Science and Technology, Linköping University, SE-601 74 Norrkoping, Sweden
| | - Meng Su
- Key Laboratory of Green Printing, Institute of Chemistry, Chinese Academy of Sciences, Beijing, Beijing 100190, China
| | - Xuemei Sun
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, and Laboratory of Advanced Materials, Fudan University, Shanghai 200438, PR China
| | - Kuniharu Takei
- Department of Physics and Electronics, Osaka Metropolitan University, Sakai, Osaka 599-8531, Japan
| | - Xiao-Ming Tao
- Research Institute for Intelligent Wearable Systems, School of Fashion and Textiles, Hong Kong Polytechnic University, Hong Kong, China
| | - Benjamin C K Tee
- Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore
- iHealthtech, National University of Singapore, Singapore 119276, Singapore
| | - Aaron Voon-Yew Thean
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Tran Quang Trung
- School of Advanced Materials Science and Engineering, Sungkyunkwan University, Suwon, Kyunggi-do 16419, Republic of Korea
| | - Changjin Wan
- School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
| | - Huiliang Wang
- Department of Biomedical Engineering, University of Texas at Austin, Austin, Texas 78712, United States
| | - Joseph Wang
- Department of Nanoengineering, University of California, San Diego, California 92093, United States
| | - Ming Wang
- Frontier Institute of Chip and System, State Key Laboratory of Integrated Chip and Systems, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, China
- the Shanghai Qi Zhi Institute, 41th Floor, AI Tower, No.701 Yunjin Road, Xuhui District, Shanghai 200232, China
| | - Sihong Wang
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois, 60637, United States
| | - Ting Wang
- State Key Laboratory of Organic Electronics and Information Displays and Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China
| | - Zhong Lin Wang
- Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, China
- Georgia Institute of Technology, Atlanta, Georgia 30332-0245, United States
| | - Paul S Weiss
- California NanoSystems Institute, Department of Chemistry and Biochemistry, Department of Bioengineering, and Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, California 90095, United States
| | - Hanqi Wen
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637457, Singapore
- Institute of Flexible Electronics Technology of THU, Jiaxing, Zhejiang, China 314000
| | - Sheng Xu
- Department of Nanoengineering, Department of Electrical and Computer Engineering, Materials Science and Engineering Program, and Department of Bioengineering, University of California San Diego, La Jolla, California, 92093, United States
| | - Tailin Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Hongping Yan
- Department of Chemical Engineering, Stanford University, Stanford, California 94305, United States
| | - Xuzhou Yan
- School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Shanghai Jiao Tong University, Shanghai 200240, PR China
| | - Hui Yang
- Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, School of Science, Tianjin University, Tianjin, China, 300072
| | - Le Yang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Department of Materials Science and Engineering, National University of Singapore (NUS), 9 Engineering Drive 1, #03-09 EA, Singapore 117575, Singapore
| | - Shuaijian Yang
- School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, United Kingdom
| | - Lan Yin
- School of Materials Science and Engineering, The Key Laboratory of Advanced Materials of Ministry of Education, State Key Laboratory of New Ceramics and Fine Processing, and Center for Flexible Electronics Technology, Tsinghua University, Beijing, 100084, China
| | - Cunjiang Yu
- Department of Engineering Science and Mechanics, Department of Biomedical Engineering, Department of Material Science and Engineering, Materials Research Institute, Pennsylvania State University, University Park, Pennsylvania, 16802, United States
| | - Guihua Yu
- Materials Science and Engineering Program and Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, Texas, 78712, United States
| | - Jing Yu
- School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
| | - Shu-Hong Yu
- Department of Chemistry, Institute of Biomimetic Materials and Chemistry, Hefei National Research Center for Physical Science at the Microscale, University of Science and Technology of China, Hefei 230026, China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China
| | - Evgeny Zamburg
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Haixia Zhang
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; Beijing Advanced Innovation Center for Integrated Circuits, School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Xiangyu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Xiaosheng Zhang
- School of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Xueji Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong 518060, PR China
| | - Yihui Zhang
- Applied Mechanics Laboratory, Department of Engineering Mechanics; Laboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, PR China
| | - Yu Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore
- Singapore Hybrid-Integrated Next-Generation μ-Electronics Centre (SHINE), Singapore 117583, Singapore
| | - Siyuan Zhao
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, Massachusetts, 02134, United States
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, United States
| | - Yuanjin Zheng
- Center for Integrated Circuits and Systems, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Yu-Qing Zheng
- National Key Laboratory of Science and Technology on Micro/Nano Fabrication; School of Integrated Circuits, Peking University, Beijing 100871, China
| | - Zijian Zheng
- Department of Applied Biology and Chemical Technology, Faculty of Science, Research Institute for Intelligent Wearable Systems, Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, China
| | - Tao Zhou
- Center for Neural Engineering, Department of Engineering Science and Mechanics, The Huck Institutes of the Life Sciences, Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Bowen Zhu
- Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province, School of Engineering, Westlake University, Hangzhou 310024, China
| | - Ming Zhu
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore 636921, Singapore
| | - Rong Zhu
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, California, 90064, United States
| | - Yong Zhu
- Department of Mechanical and Aerospace Engineering, Department of Materials Science and Engineering, and Department of Biomedical Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Guijin Zou
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, #16-16 Connexis, Singapore 138632, Republic of Singapore
| | - Xiaodong Chen
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634, Republic of Singapore
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Laboratory for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore
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Kaur S, Gupta N, Malhotra BD. Recent developments in wearable & non-wearable point-of-care biosensors for cortisol detection. Expert Rev Mol Diagn 2023; 23:217-230. [PMID: 36880128 DOI: 10.1080/14737159.2023.2184260] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
INTRODUCTION Cortisol is one of the most prominent biomarkers used for the detection of psychological stress and related disorders. It plays an important role in many physiological processes including immunomodulation and fat metabolism. Thus, monitoring of cortisol levels can be used to indicate different pathological conditions including stress disorders. There has been a gradual rise in the development of point of care (PoC) biosensors for continuous cortisol monitoring. AREAS COVERED This review discusses recent breakthroughs toward the development of PoC sensors (wearable and non wearable) for cortisol monitoring. Challenges associated with them have also been summarized. EXPERT OPINION Electrochemical PoC devices have recently emerged as a powerful tools for continuous monitoring of cortisol that can be utilized for stress management and treatment of related disorders. However, there are many challenges that should be addressed before such devices can be deployed at mass level, such as inter-individual variability, changing the device calibration with the circadian rhythm, interference from other endocrine moieties, etc. [Figure: see text].
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Affiliation(s)
- Simran Kaur
- Nanobioelectronics Lab, Department of Biotechnology, Delhi Technological University, Delhi, INDIA
| | - Niharika Gupta
- Nanobioelectronics Lab, Department of Biotechnology, Delhi Technological University, Delhi, INDIA
| | - Bansi D Malhotra
- Nanobioelectronics Lab, Department of Biotechnology, Delhi Technological University, Delhi, INDIA.,Biomedical Instrumentation Section, CSIR-National Physical Laboratory, New Delhi, India
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Shajari S, Salahandish R, Zare A, Hassani M, Moossavi S, Munro E, Rashid R, Rosenegger D, Bains JS, Sanati Nezhad A. MicroSweat: A Wearable Microfluidic Patch for Noninvasive and Reliable Sweat Collection Enables Human Stress Monitoring. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204171. [PMID: 36461733 PMCID: PMC9982588 DOI: 10.1002/advs.202204171] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/24/2022] [Indexed: 05/13/2023]
Abstract
Stress affects cognition, behavior, and physiology, leading to lasting physical and mental illness. The ability to detect and measure stress, however, is poor. Increased circulating cortisol during stress is mirrored by cortisol release from sweat glands, providing an opportunity to use it as an external biomarker for monitoring internal emotional state. Despite the attempts at using wearable sensors for monitoring sweat cortisol, there is a lack of reliable wearable sweat collection devices that preserve the concentration and integrity of sweat biomolecules corresponding to stress levels. Here, a flexible, self-powered, evaporation-free, bubble-free, surfactant-free, and scalable capillary microfluidic device, MicroSweat, is fabricated to reliably collect human sweat from different body locations. Cortisol levels are detected corresponding to severe stress ranging from 25 to 125 ng mL-1 averaged across multiple body regions and 100-1000 ng mL-1 from the axilla. A positive nonlinear correlation exists between cortisol concentration and stress levels quantified using the perceived stress scale (PSS). Moreover, owing to the sweat variation in response to environmental effects and physiological differences, the longitudinal and personalized profile of sweat cortisol is acquired, for the first time, for various body locations. The obtained sweat cortisol data is crucial for analyzing human stress in personalized and clinical healthcare sectors.
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Affiliation(s)
- Shaghayegh Shajari
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- StressynomicsHotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Razieh Salahandish
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Azam Zare
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Mohsen Hassani
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Shirin Moossavi
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- Department of Physiology and PharmacologyUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- International Microbiome CentreCumming School of MedicineHealth Sciences CentreUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Emily Munro
- Department of Chemical and Petroleum EngineeringUniversity of CalgaryCalgaryAlbertaT2N1 N4Canada
| | - Ruba Rashid
- Department of Civil EngineeringUniversity of CalgaryCalgaryAlbertaT2N1 N4Canada
| | | | - Jaideep S. Bains
- StressynomicsHotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Amir Sanati Nezhad
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
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Kim ER, Joe C, Mitchell RJ, Gu MB. Biosensors for healthcare: current and future perspectives. Trends Biotechnol 2023; 41:374-395. [PMID: 36567185 DOI: 10.1016/j.tibtech.2022.12.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/28/2022] [Accepted: 12/06/2022] [Indexed: 12/24/2022]
Abstract
Biosensors are utilized in several different fields, including medicine, food, and the environment; in this review, we examine recent developments in biosensors for healthcare. These involve three distinct types of biosensor: biosensors for in vitro diagnosis with blood, saliva, or urine samples; continuous monitoring biosensors (CMBs); and wearable biosensors. Biosensors for in vitro diagnosis have seen a significant expansion recently, with newly reported clustered regularly interspaced short palindromic repeats (CRISPR)/Cas methodologies and improvements to many established integrated biosensor devices, including lateral flow assays (LFAs) and microfluidic/electrochemical paper-based analytical devices (μPADs/ePADs). We conclude with a discussion of two novel groups of biosensors that have drawn great attention recently, continuous monitoring and wearable biosensors, as well as with perspectives on the commercialization and future of biosensors.
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Affiliation(s)
- Eun Ryung Kim
- Department of Biotechnology, Korea University, Anam-dong, Sungbuk-Gu, Seoul 02841, Republic of Korea
| | - Cheulmin Joe
- Department of Biotechnology, Korea University, Anam-dong, Sungbuk-Gu, Seoul 02841, Republic of Korea
| | - Robert J Mitchell
- Department of Biological Sciences, UNIST, Ulsan 44919, Republic of Korea
| | - Man Bock Gu
- Department of Biotechnology, Korea University, Anam-dong, Sungbuk-Gu, Seoul 02841, Republic of Korea.
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Yuan X, Li C, Yin X, Yang Y, Ji B, Niu Y, Ren L. Epidermal Wearable Biosensors for Monitoring Biomarkers of Chronic Disease in Sweat. BIOSENSORS 2023; 13:313. [PMID: 36979525 PMCID: PMC10045998 DOI: 10.3390/bios13030313] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/15/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Biological information detection technology is mainly used for the detection of physiological and biochemical parameters closely related to human tissues and organ lesions, such as biomarkers. This technology has important value in the clinical diagnosis and treatment of chronic diseases in their early stages. Wearable biosensors can be integrated with the Internet of Things and Big Data to realize the detection, transmission, storage, and comprehensive analysis of human physiological and biochemical information. This technology has extremely wide applications and considerable market prospects in frontier fields including personal health monitoring, chronic disease diagnosis and management, and home medical care. In this review, we systematically summarized the sweat biomarkers, introduced the sweat extraction and collection methods, and discussed the application and development of epidermal wearable biosensors for monitoring biomarkers in sweat in preclinical research in recent years. In addition, the current challenges and development prospects in this field were discussed.
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Affiliation(s)
- Xichen Yuan
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- MOE Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi’an 710072, China
| | - Chen Li
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
| | - Xu Yin
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
| | - Yang Yang
- Ministry of Education Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Chongqing University, Chongqing 400030, China
| | - Bowen Ji
- Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China
| | - Yinbo Niu
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
| | - Li Ren
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
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Khumngern S, Jeerapan I. Advances in wearable electrochemical antibody-based sensors for cortisol sensing. Anal Bioanal Chem 2023:10.1007/s00216-023-04577-y. [PMID: 36781449 DOI: 10.1007/s00216-023-04577-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/15/2023]
Abstract
Cortisol is a crucial hormone involving many physiological processes. Hence, cortisol detection is essential. This review highlights the key progress made on wearable electrochemical sensors using antibodies. It covers the design, principle, and electroanalytical methodology for detecting cortisol noninvasively. This article also analyzes and collects the analytical performances of electrochemical cortisol sensors. The development of these sensors continues to face challenges such as biofouling, sample management, sensitivity, flexibility, stability, and recognition layer performance. It is also necessary to develop a sensitive electrode and material. This article also presents potential strategies for designing antibody electrodes and provides examples of sensing systems. Additionally, it discusses the challenges in translating research into practical applications.
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Affiliation(s)
- Suntisak Khumngern
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, 90110, Songkhla, Thailand.,Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, 90110, Songkhla, Thailand
| | - Itthipon Jeerapan
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, 90110, Songkhla, Thailand. .,Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, 90110, Songkhla, Thailand. .,Center of Excellence for Innovation in Chemistry, Faculty of Science, Prince of Songkla University, Hat Yai, 90110, Songkhla, Thailand.
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Faham S, Salimi A, Ghavami R. Electrochemical-based remote biomarker monitoring: Toward Internet of Wearable Things in telemedicine. Talanta 2023; 253:123892. [PMID: 36095939 DOI: 10.1016/j.talanta.2022.123892] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/22/2022] [Accepted: 08/25/2022] [Indexed: 12/13/2022]
Abstract
Internet of Wearable Things (IoWT) will be a major breakthrough for remote medical monitoring. In this scenario, wearable biomarker sensors have been developing not only to diagnose point-of-care (POC) of diseases, but also to continuously manage them. On-body tracking of biomarkers in biofluids is regarded as a proper substitution of conventional biomarker sensors for dynamic sampling and analyzing due to their high sensitivity, conformability, and affordability, creating ever-rising the market demand for them. In a wireless body area network (WBAN), data is captured from all sensors on the body to a smartphone/laptop, and sent the sensed data to a cloud for storing, processing, and retrieving, and ultimately displayed the data on custom applications (Apps). Wearable IoT biomarker sensors are used for early diseases diagnosis and continuous monitoring in developing countries in which people hardly access to healthcare systems. In this review, we aim to highlight a wide range of wearable electrochemical biomarker sensors, accompanied by microfluidics for continuous sampling, which will pave the way toward developing wearable IoT biomarker sensors to track health status. The current challenges and future perspective in skin-conformal biomarker sensors will be discussing their potential applicability for IoWT in cloud-based telemedicine.
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Affiliation(s)
- Shadab Faham
- Department of Chemistry, University of Kurdistan, Sanandaj, 66177-15175, Iran
| | - Abdollah Salimi
- Department of Chemistry, University of Kurdistan, Sanandaj, 66177-15175, Iran; Research Center for Nanotechnology, University of Kurdistan, Sanandaj, 66177-15175, Iran.
| | - Raouf Ghavami
- Department of Chemistry, University of Kurdistan, Sanandaj, 66177-15175, Iran
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Chen YS, Huang CH, Pai PC, Seo J, Lei KF. A Review on Microfluidics-Based Impedance Biosensors. BIOSENSORS 2023; 13:bios13010083. [PMID: 36671918 PMCID: PMC9855525 DOI: 10.3390/bios13010083] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 12/20/2022] [Accepted: 12/28/2022] [Indexed: 05/30/2023]
Abstract
Electrical impedance biosensors are powerful and continuously being developed for various biological sensing applications. In this line, the sensitivity of impedance biosensors embedded with microfluidic technologies, such as sheath flow focusing, dielectrophoretic focusing, and interdigitated electrode arrays, can still be greatly improved. In particular, reagent consumption reduction and analysis time-shortening features can highly increase the analytical capabilities of such biosensors. Moreover, the reliability and efficiency of analyses are benefited by microfluidics-enabled automation. Through the use of mature microfluidic technology, complicated biological processes can be shrunk and integrated into a single microfluidic system (e.g., lab-on-a-chip or micro-total analysis systems). By incorporating electrical impedance biosensors, hand-held and bench-top microfluidic systems can be easily developed and operated by personnel without professional training. Furthermore, the impedance spectrum provides broad information regarding cell size, membrane capacitance, cytoplasmic conductivity, and cytoplasmic permittivity without the need for fluorescent labeling, magnetic modifications, or other cellular treatments. In this review article, a comprehensive summary of microfluidics-based impedance biosensors is presented. The structure of this article is based on the different substrate material categorizations. Moreover, the development trend of microfluidics-based impedance biosensors is discussed, along with difficulties and challenges that may be encountered in the future.
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Affiliation(s)
- Yu-Shih Chen
- Department of Biomedical Engineering, Chang Gung University, Taoyuan 33302, Taiwan
| | - Chun-Hao Huang
- Department of Biomedical Engineering, Chang Gung University, Taoyuan 33302, Taiwan
| | - Ping-Ching Pai
- Department of Radiation Oncology, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
| | - Jungmok Seo
- Department of Biomedical Engineering, Chang Gung University, Taoyuan 33302, Taiwan
- Department of Electrical & Electronic Engineering, Yonsei University, Seoul 120-749, Republic of Korea
| | - Kin Fong Lei
- Department of Biomedical Engineering, Chang Gung University, Taoyuan 33302, Taiwan
- Department of Radiation Oncology, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
- Department of Electrical & Electronic Engineering, Yonsei University, Seoul 120-749, Republic of Korea
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Zhang Y, Hu Y, Jiang N, Yetisen AK. Wearable artificial intelligence biosensor networks. Biosens Bioelectron 2023; 219:114825. [PMID: 36306563 DOI: 10.1016/j.bios.2022.114825] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 10/12/2022] [Accepted: 10/16/2022] [Indexed: 11/07/2022]
Abstract
The demand for high-quality healthcare and well-being services is remarkably increasing due to the ageing global population and modern lifestyles. Recently, the integration of wearables and artificial intelligence (AI) has attracted extensive academic and technological attention for its powerful high-dimensional data processing of wearable biosensing networks. This work reviews the recent developments in AI-assisted wearable biosensing devices in disease diagnostics and fatigue monitoring demonstrating the trend towards personalised medicine with highly efficient, cost-effective, and accurate point-of-care diagnosis by finding hidden patterns in biosensing data and detecting abnormalities. The reliability of adaptive learning and synthetic data and data privacy still need further investigation to realise personalised medicine in the next decade. Due to the worldwide popularity of smartphones, they have been utilised for sensor readout, wireless data transfer, data processing and storage, result display, and cloud server communication leading to the development of smartphone-based biosensing systems. The recent advances have demonstrated a promising future for the healthcare system because of the increasing data processing power, transfer efficiency and storage capacity and diversifying functionalities.
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Affiliation(s)
- Yihan Zhang
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, UK
| | - Yubing Hu
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, UK.
| | - Nan Jiang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, China; Jinfeng Laboratory, Chongqing, 401329, China.
| | - Ali K Yetisen
- Department of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, UK
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Zhang J, Chen M, Peng Y, Li S, Han D, Ren S, Qin K, Li S, Han T, Wang Y, Gao Z. Wearable biosensors for human fatigue diagnosis: A review. Bioeng Transl Med 2023; 8:e10318. [PMID: 36684114 PMCID: PMC9842037 DOI: 10.1002/btm2.10318] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 03/11/2022] [Accepted: 03/13/2022] [Indexed: 02/01/2023] Open
Abstract
Fatigue causes deleterious effects to physical and mental health of human being and may cause loss of lives. Therefore, the adverse effects of fatigue on individuals and the society are massive. With the ever-increasing frequency of overtraining among modern military and sports personnel, timely, portable and accurate fatigue diagnosis is essential to avoid fatigue-induced accidents. However, traditional detection methods require complex sample preparation and blood sampling processes, which cannot meet the timeliness and portability of fatigue diagnosis. With the development of flexible materials and biosensing technology, wearable biosensors have attracted increased attention to the researchers. Wearable biosensors collect biomarkers from noninvasive biofluids, such as sweat, saliva, and tears, followed by biosensing with the help of biosensing modules continuously and quantitatively. The detection signal can then be transmitted through wireless communication modules that constitute a method for real-time understanding of abnormality. Recent developments of wearable biosensors are focused on miniaturized wearable electrochemistry and optical biosensors for metabolites detection, of which, few have exhibited satisfactory results in medical diagnosis. However, detection performance limits the wide-range applicability of wearable fatigue diagnosis. In this article, the application of wearable biosensors in fatigue diagnosis has been discussed. In fact, exploration of the composition of different biofluids and their potential toward fatigue diagnosis have been discussed here for the very first time. Moreover, discussions regarding the current bottlenecks in wearable fatigue biosensors and the latest advancements in biochemical reaction and data communication modules have been incorporated herein. Finally, the main challenges and opportunities were discussed for wearable fatigue diagnosis in the future.
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Affiliation(s)
- Jingyang Zhang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Mengmeng Chen
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Yuan Peng
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Shuang Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Dianpeng Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Shuyue Ren
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Kang Qin
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Sen Li
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Tie Han
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Yu Wang
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
| | - Zhixian Gao
- Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety Institute of Environmental and Operational Medicine Tianjin P.R. China
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Ghosh A, Nag S, Gomes A, Gosavi A, Ghule G, Kundu A, Purohit B, Srivastava R. Applications of Smart Material Sensors and Soft Electronics in Healthcare Wearables for Better User Compliance. MICROMACHINES 2022; 14:121. [PMID: 36677182 PMCID: PMC9862021 DOI: 10.3390/mi14010121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/25/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
The need for innovation in the healthcare sector is essential to meet the demand of a rapidly growing population and the advent of progressive chronic ailments. Over the last decade, real-time monitoring of health conditions has been prioritized for accurate clinical diagnosis and access to accelerated treatment options. Therefore, the demand for wearable biosensing modules for preventive and monitoring purposes has been increasing over the last decade. Application of machine learning, big data analysis, neural networks, and artificial intelligence for precision and various power-saving approaches are used to increase the reliability and acceptance of smart wearables. However, user compliance and ergonomics are key areas that need focus to make the wearables mainstream. Much can be achieved through the incorporation of smart materials and soft electronics. Though skin-friendly wearable devices have been highlighted recently for their multifunctional abilities, a detailed discussion on the integration of smart materials for higher user compliance is still missing. In this review, we have discussed the principles and applications of sustainable smart material sensors and soft electronics for better ergonomics and increased user compliance in various healthcare devices. Moreover, the importance of nanomaterials and nanotechnology is discussed in the development of smart wearables.
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Affiliation(s)
- Arnab Ghosh
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Sagnik Nag
- Department of Biotechnology, School of Biosciences & Technology, Vellore Institute of Technology (VIT), Tiruvalam Road, Vellore 632014, Tamil Nadu, India
| | - Alyssa Gomes
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Apurva Gosavi
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Gauri Ghule
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Aniket Kundu
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Buddhadev Purohit
- DTU Bioengineering, Technical University of Denmark, Søltofts Plads 221, 2800 Kongens Lyngby, Denmark
| | - Rohit Srivastava
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
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Dutta P, Gupta G. Environmental gas sensors based on electroactive hybrid organic-inorganic nanocomposites using nanostructured materials. Phys Chem Chem Phys 2022; 24:28680-28699. [PMID: 36416590 DOI: 10.1039/d2cp04247a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Advanced gas sensing devices are urgently demanded in the modern scientific world to control air pollution and protect human life. For this purpose, semiconducting electroactive materials can revolutionize the idea of conventional gas sensors. Chemi-resistive gas sensors based on electroactive hybrid organic-inorganic nanocomposites are incredibly promising gas sensing materials because they possess the advantages of excellent selectivity, high sensitivity, low response time, repeatability, high stability, cost-effectiveness, and simple fabrication techniques, and they can be operated at room temperature. This review emphasizes the recent developments of organic-inorganic hybrid nanocomposite-based electroactive gas sensors, including metal oxide nanocomposites, which are potential gas sensing materials due to the presence of numerous charge carriers. The review also focuses on nanostructured materials of different dimensions, such as semiconducting quantum dots, carbon dots, nanotubes, nanowires, and nanosheets, used for developing these gas sensing compounds and their significance and challenges. Some possible fabrication techniques for developing efficient gas sensors with different morphologies are discussed, with their probable sensing mechanism behind the detection of toxic vapours. Subsequently, a summary and possible outcome of this study, along with the various achievements and prospects in this field, are also discussed.
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Affiliation(s)
- Priyanka Dutta
- CSIR-National Physical Laboratory, Dr K. S. Krishnan Road, New Delhi 110012, India.
| | - Govind Gupta
- CSIR-National Physical Laboratory, Dr K. S. Krishnan Road, New Delhi 110012, India. .,Academy of Scientific and Innovative Research, CSIR-HRDC Campus, Ghaziabad, Uttar Pradesh-201002, India
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40
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Yulianti ES, Rahman SF, Whulanza Y. Molecularly Imprinted Polymer-Based Sensor for Electrochemical Detection of Cortisol. BIOSENSORS 2022; 12:1090. [PMID: 36551057 PMCID: PMC9776045 DOI: 10.3390/bios12121090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/16/2022] [Accepted: 11/23/2022] [Indexed: 06/17/2023]
Abstract
As a steroid hormone, cortisol has a close relationship with the stress response, and therefore, can be used as a biomarker for early detection of stress. An electrochemical immunosensor is one of the most widely used methods to detect cortisol, with antibodies as its bioreceptor. Apart from conventional laboratory-based methods, the trend for cortisol detection has seemed to be exploiting antibodies and aptamers. Both can provide satisfactory performance with high selectivity and sensitivity, but they still face issues with their short shelf life. Molecularly imprinted polymers (MIPs) have been widely used to detect macro- and micro-molecules by forming artificial antibodies as bioreceptors. MIPs are an alternative to natural antibodies, which despite demonstrating high selectivity and a low degree of cross-reactivity, often also show a high sensitivity to the environment, leading to their denaturation. MIPs can be prepared with convenient and relatively affordable fabrication processes. They also have high durability in ambient conditions, a long shelf life, and the ability to detect cortisol molecules at a concentration as low as 2 ag/mL. By collecting data from the past five years, this review summarizes the antibody and aptamer-based amperometric sensors as well as the latest developments exploiting MIPs rather than antibodies. Lastly, factors that can improve MIPs performance and are expected to be developed in the future are also explained.
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Affiliation(s)
- Elly Septia Yulianti
- Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, West Java, Indonesia
| | - Siti Fauziyah Rahman
- Department of Electrical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, West Java, Indonesia
- Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, West Java, Indonesia
| | - Yudan Whulanza
- Research Center for Biomedical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, West Java, Indonesia
- Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia, Kampus UI Depok, Depok 16424, West Java, Indonesia
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Ibrahim NFA, Sabani N, Johari S, Manaf AA, Wahab AA, Zakaria Z, Noor AM. A Comprehensive Review of the Recent Developments in Wearable Sweat-Sensing Devices. SENSORS (BASEL, SWITZERLAND) 2022; 22:7670. [PMID: 36236769 PMCID: PMC9573257 DOI: 10.3390/s22197670] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/26/2022] [Accepted: 10/02/2022] [Indexed: 06/16/2023]
Abstract
Sweat analysis offers non-invasive real-time on-body measurement for wearable sensors. However, there are still gaps in current developed sweat-sensing devices (SSDs) regarding the concerns of mixing fresh and old sweat and real-time measurement, which are the requirements to ensure accurate the measurement of wearable devices. This review paper discusses these limitations by aiding model designs, features, performance, and the device operation for exploring the SSDs used in different sweat collection tools, focusing on continuous and non-continuous flow sweat analysis. In addition, the paper also comprehensively presents various sweat biomarkers that have been explored by earlier works in order to broaden the use of non-invasive sweat samples in healthcare and related applications. This work also discusses the target analyte's response mechanism for different sweat compositions, categories of sweat collection devices, and recent advances in SSDs regarding optimal design, functionality, and performance.
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Affiliation(s)
- Nur Fatin Adini Ibrahim
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Norhayati Sabani
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Shazlina Johari
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Asrulnizam Abd Manaf
- Collaborative Microelectronic Design Excellence Centre, Universiti Sains Malaysia, Gelugor 11800, Malaysia
| | - Asnida Abdul Wahab
- Department of Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
| | - Zulkarnay Zakaria
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Sports Engineering Research Center, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Anas Mohd Noor
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
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Tan M, Xu Y, Gao Z, Yuan T, Liu Q, Yang R, Zhang B, Peng L. Recent Advances in Intelligent Wearable Medical Devices Integrating Biosensing and Drug Delivery. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2108491. [PMID: 35008128 DOI: 10.1002/adma.202108491] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 12/28/2021] [Indexed: 05/27/2023]
Abstract
The primary roles of precision medicine are to perform real-time examination, administer on-demand medication, and apply instruments continuously. However, most current therapeutic systems implement these processes separately, leading to treatment interruption and limited recovery in patients. Personalized healthcare and smart medical treatment have greatly promoted research on and development of biosensing and drug-delivery integrated systems, with intelligent wearable medical devices (IWMDs) as typical systems, which have received increasing attention because of their non-invasive and customizable nature. Here, the latest progress in research on IWMDs is reviewed, including their mechanisms of integrating biosensing and on-demand drug delivery. The current challenges and future development directions of IWMDs are also discussed.
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Affiliation(s)
- Minhong Tan
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
- School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Yang Xu
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Ziqi Gao
- School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Tiejun Yuan
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Qingjun Liu
- College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Rusen Yang
- School of Advanced Materials and Nanotechnology, Xidian University, Xian, 710126, P. R. China
| | - Bin Zhang
- School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, P. R. China
| | - Lihua Peng
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
- State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Macau, P. R. China
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Hydrophilic metal-organic frameworks integrated uricase for wearable detection of sweat uric acid. Anal Chim Acta 2022; 1208:339843. [DOI: 10.1016/j.aca.2022.339843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 04/13/2022] [Accepted: 04/16/2022] [Indexed: 12/14/2022]
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Yang Q, Rosati G, Abarintos V, Aroca MA, Osma JF, Merkoçi A. Wearable and fully printed microfluidic nanosensor for sweat rate, conductivity, and copper detection with healthcare applications. Biosens Bioelectron 2022; 202:114005. [DOI: 10.1016/j.bios.2022.114005] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Revised: 01/12/2022] [Accepted: 01/13/2022] [Indexed: 02/06/2023]
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Jeerapan I, Moonla C, Thavarungkul P, Kanatharana P. Lab on a body for biomedical electrochemical sensing applications: The next generation of microfluidic devices. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2022; 187:249-279. [PMID: 35094777 DOI: 10.1016/bs.pmbts.2021.07.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
This chapter highlights applications of microfluidic devices toward on-body biosensors. The emerging application of microfluidics to on-body bioanalysis is a new strategy to establish systems for the continuous, real-time, and on-site determination of informative markers present in biofluids, such as sweat, interstitial fluid, blood, saliva, and tear. Electrochemical sensors are attractive to integrate with such microfluidics due to the possibility to be miniaturized. Moreover, on-body microfluidics coupled with bioelectronics enable smart integration with modern information and communication technology. This chapter discusses requirements and several challenges when developing on-body microfluidics such as difficulties in manipulating small sample volumes while maintaining mechanical flexibility, power-consumption efficiency, and simplicity of total automated systems. We describe key components, e.g., microchannels, microvalves, and electrochemical detectors, used in microfluidics. We also introduce representatives of advanced lab-on-a-body microfluidics combined with electrochemical sensors for biomedical applications. The chapter ends with a discussion of the potential trends of research in this field and opportunities. On-body microfluidics as modern total analysis devices will continue to bring several fascinating opportunities to the field of biomedical and translational research applications.
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Affiliation(s)
- Itthipon Jeerapan
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand; Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
| | - Chochanon Moonla
- School of Chemistry, Institute of Science, Suranaree University of Technology, Nakhon Ratchasima, Thailand
| | - Panote Thavarungkul
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand; Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, Songkhla, Thailand
| | - Proespichaya Kanatharana
- Division of Physical Science, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla, Thailand; Center of Excellence for Trace Analysis and Biosensor, Prince of Songkla University, Hat Yai, Songkhla, Thailand
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Wearable Sensing Systems for Monitoring Mental Health. SENSORS 2022; 22:s22030994. [PMID: 35161738 PMCID: PMC8839602 DOI: 10.3390/s22030994] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/20/2022] [Accepted: 01/24/2022] [Indexed: 02/04/2023]
Abstract
Wearable systems for monitoring biological signals have opened the door to personalized healthcare and have advanced a great deal over the past decade with the development of flexible electronics, efficient energy storage, wireless data transmission, and information processing technologies. As there are cumulative understanding of mechanisms underlying the mental processes and increasing desire for lifetime mental wellbeing, various wearable sensors have been devised to monitor the mental status from physiological activities, physical movements, and biochemical profiles in body fluids. This review summarizes the recent progress in wearable healthcare monitoring systems that can be utilized in mental healthcare, especially focusing on the biochemical sensors (i.e., biomarkers associated with mental status, sensing modalities, and device materials) and discussing their promises and challenges.
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Wang B, Zhao C, Wang Z, Yang KA, Cheng X, Liu W, Yu W, Lin S, Zhao Y, Cheung KM, Lin H, Hojaiji H, Weiss PS, Stojanović MN, Tomiyama AJ, Andrews AM, Emaminejad S. Wearable aptamer-field-effect transistor sensing system for noninvasive cortisol monitoring. SCIENCE ADVANCES 2022; 8:eabk0967. [PMID: 34985954 PMCID: PMC8730602 DOI: 10.1126/sciadv.abk0967] [Citation(s) in RCA: 139] [Impact Index Per Article: 46.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Wearable technologies for personalized monitoring require sensors that track biomarkers often present at low levels. Cortisol—a key stress biomarker—is present in sweat at low nanomolar concentrations. Previous wearable sensing systems are limited to analytes in the micromolar-millimolar ranges. To overcome this and other limitations, we developed a flexible field-effect transistor (FET) biosensor array that exploits a previously unreported cortisol aptamer coupled to nanometer-thin-film In2O3 FETs. Cortisol levels were determined via molecular recognition by aptamers where binding was transduced to electrical signals on FETs. The physiological relevance of cortisol as a stress biomarker was demonstrated by tracking salivary cortisol levels in participants in a Trier Social Stress Test and establishing correlations between cortisol in diurnal saliva and sweat samples. These correlations motivated the development and on-body validation of an aptamer-FET array–based smartwatch equipped with a custom, multichannel, self-referencing, and autonomous source measurement unit enabling seamless, real-time cortisol sweat sensing.
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Affiliation(s)
- Bo Wang
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Chuanzhen Zhao
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Zhaoqing Wang
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Kyung-Ae Yang
- Division of Experimental Therapeutics, Department of Medicine, Columbia University, New York, NY 10032, USA
| | - Xuanbing Cheng
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Wenfei Liu
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Wenzhuo Yu
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Shuyu Lin
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Yichao Zhao
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Kevin M. Cheung
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Haisong Lin
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Hannaneh Hojaiji
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Paul S. Weiss
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Milan N. Stojanović
- Division of Experimental Therapeutics, Department of Medicine, Columbia University, New York, NY 10032, USA
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - A. Janet Tomiyama
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Anne M. Andrews
- Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA 90095, USA
- California NanoSystems Institute, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Corresponding author. (A.M.A.); (S.E.)
| | - Sam Emaminejad
- Interconnected and Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Corresponding author. (A.M.A.); (S.E.)
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48
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Wearable tesla valve-based sweat collection device for sweat colorimetric analysis. Talanta 2022; 240:123208. [PMID: 34998143 DOI: 10.1016/j.talanta.2022.123208] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 12/29/2021] [Accepted: 01/03/2022] [Indexed: 01/05/2023]
Abstract
Sweat sensor has become one of the most important developing directions of in vitro wearable diagnostic device in recent years. Stable sweat collecting device is the key to realize sweat component analysis. In order to ensure that the collected sweat is not subject to component analysis errors caused by evaporation or environmental pollution, mechanical micro-valves were adopted for microfluidic sweat collection devices to realize sealed storage of sweat. However, this poses a challenge to the stability of machining and reusability of the acquisition device. In this work, the Tesla valve without any mechanical structure were introduced into the design of sweat collection chip. And made full use of its diodicity to improve the collection to a certain extent, prevent backflow at the entrance, and restrain the flow at the exit to contact with the outside world. In addition, through optimizing the shunt angle, branch channel parameters of Tesla valve, boosted its diodicity under low flow rate. Furthermore, a sweat storage chamber with baffle structure that can achieve maximum static storage area was adopted to form a whole sweat collection chip. The design was verified through the flow experiment of methylene blue and methyl red indicators on the chip. Through modification of the filter paper fixed in the collection chamber, the colorimetric analysis of glucose and pH was realized. This device may provide new inspirations for the development of wearable sweat sensor.
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49
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Kaziz S, Ben Mariem I, Echouchene F, Gazzah MH, Belmabrouk H. Design parameters optimization of an electrothermal flow biosensor for the SARS-CoV-2 S protein immunoassay. INDIAN JOURNAL OF PHYSICS AND PROCEEDINGS OF THE INDIAN ASSOCIATION FOR THE CULTIVATION OF SCIENCE (2004) 2022; 96:4091-4101. [PMID: 35463477 PMCID: PMC9013635 DOI: 10.1007/s12648-022-02360-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 03/25/2022] [Indexed: 05/20/2023]
Abstract
To combat the coronavirus disease 2019 (COVID-19), great efforts have been made by scientists around the world to improve the performance of detection devices so that they can efficiently and quickly detect the virus responsible for this disease. In this context we performed 2D finite element simulation on the kinetics of SARS-CoV-2 S protein binding reaction of a biosensor using the alternating current electrothermal (ACET) effect. The ACET flow can produce vortex patterns, thereby improving the transportation of the target analyte to the binding surface and thus enhancing the performance of the biosensor. Optimization of some design parameters concerning the microchannel height and the reaction surface, such as its length as well as its position on the top wall of the microchannel, in order to improve the biosensor efficiency, was studied. The results revealed that the detection time can be improved by 55% with an applied voltage of 10 V rms and an operating frequency of 150 kHz and that the decrease in the height of the microchannel and in the length of the binding surface can lead to an increase in the rate of the binding reaction and therefore decrease the biosensor response time. Also, moving the sensitive surface from an optimal position, located in front of the electrodes, decreases the performance of the device.
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Affiliation(s)
- Sameh Kaziz
- Quantum and Statistical Physics Laboratory, Faculty of Sciences of Monastir, University of Monastir, Environment Boulevard, 5019 Monastir, Tunisia
- Higher National Engineering School of Tunis, Taha Hussein Montfleury Boulevard, University of Tunis, 1008 Tunis, Tunisia
| | - Ibrahim Ben Mariem
- Quantum and Statistical Physics Laboratory, Faculty of Sciences of Monastir, University of Monastir, Environment Boulevard, 5019 Monastir, Tunisia
| | - Fraj Echouchene
- Laboratory of Electronics and Microelectronics, Faculty of Science of Monastir, University of Monastir, Environment Boulevard, 5019 Monastir, Tunisia
| | - Mohamed Hichem Gazzah
- Quantum and Statistical Physics Laboratory, Faculty of Sciences of Monastir, University of Monastir, Environment Boulevard, 5019 Monastir, Tunisia
| | - Hafedh Belmabrouk
- Laboratory of Electronics and Microelectronics, Faculty of Science of Monastir, University of Monastir, Environment Boulevard, 5019 Monastir, Tunisia
- Department of Physics, College of Science at Al Zulfi, Majmaah University, Al Majma’ah, 11952 Saudi Arabia
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50
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Raza T, Qu L, Khokhar WA, Andrews B, Ali A, Tian M. Progress of Wearable and Flexible Electrochemical Biosensors With the Aid of Conductive Nanomaterials. Front Bioeng Biotechnol 2021; 9:761020. [PMID: 34881233 PMCID: PMC8645837 DOI: 10.3389/fbioe.2021.761020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 10/11/2021] [Indexed: 11/17/2022] Open
Abstract
Conductive nanomaterials have recently gained a lot of interest due to their excellent physical, chemical, and electrical properties, as well as their numerous nanoscale morphologies, which enable them to be fabricated into a wide range of modern chemical and biological sensors. This study focuses mainly on current applications based on conductive nanostructured materials. They are the key elements in preparing wearable electrochemical Biosensors, including electrochemical immunosensors and DNA biosensors. Conductive nanomaterials such as carbon (Carbon Nanotubes, Graphene), metals and conductive polymers, which provide a large effective surface area, fast electron transfer rate and high electrical conductivity, are summarized in detail. Conductive polymer nanocomposites in combination with carbon and metal nanoparticles have also been addressed to increase sensor performance. In conclusion, a section on current challenges and opportunities in this growing field is forecasted at the end.
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Affiliation(s)
- Tahir Raza
- Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Intelligent Wearable Engineering Research Center of Qingdao, Qingdao University, Qingdao, China
| | - Lijun Qu
- Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Intelligent Wearable Engineering Research Center of Qingdao, Qingdao University, Qingdao, China
| | | | - Boakye Andrews
- Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Intelligent Wearable Engineering Research Center of Qingdao, Qingdao University, Qingdao, China
| | | | - Mingwei Tian
- Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Intelligent Wearable Engineering Research Center of Qingdao, Qingdao University, Qingdao, China
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