1
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Wu T, Yang P, Xie X, Cao X, Deng Y, Ding X, Zhang Z. Bio-inspired hierarchical wearable patch for fast sweat collection. Biosens Bioelectron 2024; 260:116430. [PMID: 38815465 DOI: 10.1016/j.bios.2024.116430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 05/15/2024] [Accepted: 05/24/2024] [Indexed: 06/01/2024]
Abstract
Sweat contains abundant physiological and metabolic data to evaluate an individual's physical health. Since the non-exercise sweat secretion rate is low, with an average value of 1-10 μl h-1 cm-2, sweat is generally collected during exercise for existing wearable sweat sensors. To expand their applications to include daily scenarios, these sensors developed for sports and fitness are challenged by the difficulty of collecting trace amounts of sweat. This study proposes a wearable patch inspired by the hierarchical structure of Sarracenia trichomes, allowing for the spontaneous and fast collection of a small amount of secreted sweat. The patch contains microfluidic channels featuring a 20 μm-wide rib structure, fully utilizing the capillary force, thereby eliminating the issue of sweat hysteresis. Furthermore, with only 0.5 μl of the sweat secreted at the collection site, it can converge on the detection medium located within the center reservoir. Volunteer verification demonstrated a twofold increase in sweat collection efficiency compared to traditional wearable patches. This patch serves as an efficient sweat-collection configuration, promising potential for diverse in situ sweat colorimetric analyses.
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Affiliation(s)
- Tianjie Wu
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Pufan Yang
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xintong Xie
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xi Cao
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yujun Deng
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Xianting Ding
- State Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Zhinan Zhang
- School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
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2
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Wei C, Fu D, Ma T, Chen M, Wang F, Chen G, Wang Z. Sensing patches for biomarker identification in skin-derived biofluids. Biosens Bioelectron 2024; 258:116326. [PMID: 38696965 DOI: 10.1016/j.bios.2024.116326] [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: 01/04/2024] [Revised: 04/15/2024] [Accepted: 04/21/2024] [Indexed: 05/04/2024]
Abstract
In conventional clinical disease diagnosis and screening based on biomarker detection, most analysis samples are collected from serum, blood. However, these invasive collection methods require specific instruments, professionals, and may lead to infection risks. Additionally, the diagnosis process suffers from untimely results. The identification of skin-related biomarkers plays an unprecedented role in early disease diagnosis. More importantly, these skin-mediated approaches for collecting biomarker-containing biofluid samples are noninvasive or minimally invasive, which is more preferable for point-of-care testing (POCT). Therefore, skin-based biomarker detection patches have been promoted, owing to their unique advantages, such as simple fabrication, desirable transdermal properties and no requirements for professional medical staff. Currently, the skin biomarkers extracted from sweat, interstitial fluid (ISF) and wound exudate, are achieved with wearable sweat patches, transdermal MN patches, and wound patches, respectively. In this review, we detail these three types of skin patches in biofluids collection and diseases-related biomarkers identification. Patch classification and the corresponding manufacturing as well as detection strategies are also summarized. The remaining challenges in clinical applications and current issues in accurate detection are discussed for further advancement of this technology (Scheme 1).
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Affiliation(s)
- Chen Wei
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang, 110819, China
| | - Danni Fu
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang, 110819, China
| | - Tianyue Ma
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang, 110819, China
| | - Mo Chen
- Department of Biomedical Engineering, McGill University, Montreal, QC, H3G 0B1, Canada; Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3G 0B1, Canada
| | - Fangling Wang
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang, 110819, China
| | - Guojun Chen
- Department of Biomedical Engineering, McGill University, Montreal, QC, H3G 0B1, Canada; Rosalind & Morris Goodman Cancer Institute, McGill University, Montreal, QC, H3G 0B1, Canada.
| | - Zejun Wang
- Department of Chemistry, College of Sciences, Northeastern University, Shenyang, 110819, China.
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3
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Yang Y, Sheng C, Dong F, Liu S. An integrated wearable differential microneedle array for continuous glucose monitoring in interstitial fluids. Biosens Bioelectron 2024; 256:116280. [PMID: 38603840 DOI: 10.1016/j.bios.2024.116280] [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: 01/22/2024] [Revised: 04/02/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
Monitoring biomarkers in human interstitial fluids (ISF) using microneedle sensors has been extensively studied. However, most of the previous studies were limited to simple in vitro demonstrations and lacked system integration and analytical performance. Here we report a miniaturized, high-precision, fully integrated wearable electrochemical microneedle sensing device that works with a customized smartphone application to wirelessly and in real-time monitor glucose in human ISF. A microneedle array fabrication method is proposed which enables multiple individually addressable, regionally separated sensing electrodes on a single microneedle system. As a demonstration, a glucose sensor and a differential sensor are integrated in a single sensing patch. The differential sensing electrodes can eliminate common-mode interference signals, thus significantly improving the detection accuracy. The basic mechanism of microneedle penetration into the skin was analyzed using the finite element method (FEM). By optimizing the structure of the microneedle, the puncture efficiency was improved while the puncture force was reduced. The electrochemical properties, biocompatibility, and system stability of the microneedle sensing device were characterized before human application. The test results were closely correlated with the gold standard (blood). The platform can be used not only for glucose detection, but also for various ISF biomarkers, and it expands the potential of microneedle technology in wearable sensing.
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Affiliation(s)
- Yong Yang
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Can Sheng
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Fang Dong
- The Institute of Technological Sciences, Wuhan University, Wuhan, 430072, China.
| | - Sheng Liu
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China; The Institute of Technological Sciences, Wuhan University, Wuhan, 430072, China; School of Power and Mechanical Engineering, Wuhan University, Wuhan, 430072, China; School of Microelectronics, Wuhan University, Wuhan, 430072, China.
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4
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Wei L, Zhou J, Li Z, Zhu H, Wu H, Zhu Y, Liu A. Quantitative analysis of sweat evaporation loss in epidermal microfluidic patches. RSC Adv 2024; 14:18406-18416. [PMID: 38860253 PMCID: PMC11163416 DOI: 10.1039/d4ra03483j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Accepted: 06/03/2024] [Indexed: 06/12/2024] Open
Abstract
Sweat analysis is identified as a promising biochemical technique for the non-invasive assessment of human health status. Epidermal microfluidic patches are the predominant sweat sampling and sensing devices. However, the sweat stored inside the patches may suffer from evaporation loss of moisture, which can increase the concentration of biomarkers and cause the biochemical analysis results of sweat to deviate from the actual results. This study focuses on quantitatively analysing the sweat evaporation loss within epidermal microfluidic patches. Analytical models based on the dissolution diffusion mechanism and corresponding partial differential equations for the diffusion process were initially developed. The analytical solution of the equation was derived using the method of separation of variables, and the steady-state concentration distribution of water in the materials of microfluidic patches was calculated when considering the application of epidermal microfluidics. Evaporation losses of sweat through different paths were quantitatively calculated and analysed, including permeation through covers, diffusion along microchannels, and absorption by sidewalls. Then, experiments on the evaporation loss of sweat within microfluidic patches were conducted to validate the theoretical calculations and analytical results. At last, the design of the anti-evaporation structure for microfluidic patches was discussed. This study can provide theoretical and experimental references for the design of water-retention structures in epidermal microfluidic patches, which significantly enhances the overall reliability of sweat biochemical analysis results.
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Affiliation(s)
- Lei Wei
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, College of Science, Zhejiang Sci-Tech University Hangzhou 310018 P.R. China
| | - Jingjing Zhou
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
| | - Zhen Li
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
| | - Hui Zhu
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
| | - Huaping Wu
- Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education and Zhejiang Province, College of Mechanical Engineering, Zhejiang University of Technology Hangzhou 310023 P.R. China
| | - Yong Zhu
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
| | - Aiping Liu
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, College of Science, Zhejiang Sci-Tech University Hangzhou 310018 P.R. China
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5
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Li G, Xue P, Fan H, Ma Y, Wang H, Lu D, Gao J, Wen D. AuNi bimetallic aerogel with ultra-high stability applied in smart and portable biosensing. Anal Chim Acta 2024; 1306:342613. [PMID: 38692794 DOI: 10.1016/j.aca.2024.342613] [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: 12/17/2023] [Revised: 04/03/2024] [Accepted: 04/13/2024] [Indexed: 05/03/2024]
Abstract
Glucose detection is of significant importance in providing information to the human health management. However, conventional enzymatic glucose sensors suffer from a limited long-term stability due to the losing activity of the enzymes. In this work, the AuNi bimetallic aerogel with a well-defined nanowire network is synthesized and applied as the sensing nanomaterial in the non-enzymatic glucose detection. The three-dimensional (3D) hierarchical porous structure of the AuNi bimetallic aerogel ensures the high sensitivity of the sensor (40.34 μA mM-1 cm-2). Theoretical investigation unveiled the mechanism of the boosting electrocatalytic activity of the AuNi bimetallic aerogel toward glucose. A better adhesion between the sensing nanomaterial and the screen-printing electrodes (SPEs) is obtained after the introduction of Ni. On the basis of a wide linearity in the range of 0.1-5 mM, an excellent selectivity, an outstanding long-term stability (90 days) as well as the help of the signal processing circuit and an M5stack development board, the as-prepared glucose sensor successfully realizes remote monitoring of the glucose concentration. We speculate that this work is favorable to motivating the technological innovations of the non-enzymatic glucose sensors and intelligent sensing devices.
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Affiliation(s)
- Guanglei Li
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China; State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, NPU and Shaanxi Joint Laboratory of Graphene, Xi'an, 710072, PR China
| | - Pengxin Xue
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China
| | - Haoxin Fan
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, NPU and Shaanxi Joint Laboratory of Graphene, Xi'an, 710072, PR China
| | - Yuan Ma
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China
| | - Haoyu Wang
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China
| | - Danfeng Lu
- Faculty of Printing, Packaging Engineering, and Digital Media Technology, Xi'an University of Technology, Xi'an, 710048, PR China
| | - Jie Gao
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China; Research Institute of Industrial Technology, Zhengzhou University, Zhengzhou, 450001, PR China.
| | - Dan Wen
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, NPU and Shaanxi Joint Laboratory of Graphene, Xi'an, 710072, PR China.
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6
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Davis N, Heikenfeld J, Milla C, Javey A. The challenges and promise of sweat sensing. Nat Biotechnol 2024; 42:860-871. [PMID: 38212492 DOI: 10.1038/s41587-023-02059-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 11/07/2023] [Indexed: 01/13/2024]
Abstract
The potential of monitoring biomarkers in sweat for health-related applications has spurred rapid growth in the field of wearable sweat sensors over the past decade. Some of the key challenges have been addressed, including measuring sweat-secretion rate and collecting sufficient sample volumes for real-time, continuous molecular analysis without intense exercise. However, except for assessment of cystic fibrosis and regional nerve function, the ability to accurately measure analytes of interest and their physiological relevance to health metrics remain to be determined. Although sweat is not a crystal ball into every aspect of human health, we expect sweat measurements to continue making inroads into niche applications involving active sweating, such as hydration monitoring for athletes and physical laborers and later for medical and casual health monitoring of relevant drugs and hormones.
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Affiliation(s)
- Noelle Davis
- Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Jason Heikenfeld
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA.
- Department of Electrical and Computer Engineering, University of Cincinnati, Cincinnati, OH, USA.
| | - Carlos Milla
- The Stanford Cystic Fibrosis Center, Center for Excellence in Pulmonary Biology, Stanford School of Medicine, Palo Alto, CA, USA.
| | - Ali Javey
- Electrical Engineering and Computer Sciences, University of California at Berkeley, Berkeley, CA, USA.
- Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
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7
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Ma S, Wan Z, Wang C, Song Z, Ding Y, Zhang D, Chan CLJ, Shu L, Huang L, Yang Z, Wang F, Bai J, Fan Z, Lin Y. Ultra-Sensitive and Stable Multiplexed Biosensors Array in Fully Printed and Integrated Platforms for Reliable Perspiration Analysis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2311106. [PMID: 38388858 DOI: 10.1002/adma.202311106] [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: 10/23/2023] [Revised: 02/08/2024] [Indexed: 02/24/2024]
Abstract
Electrochemical biosensors have emerged as one of the promising tools for tracking human body physiological dynamics via non-invasive perspiration analysis. However, it remains a key challenge to integrate multiplexed sensors in a highly controllable and reproducible manner to achieve long-term reliable biosensing, especially on flexible platforms. Herein, a fully inkjet printed and integrated multiplexed biosensing patch with remarkably high stability and sensitivity is reported for the first time. These desirable characteristics are enabled by the unique interpenetrating interface design and precise control over active materials mass loading, owing to the optimized ink formulations and droplet-assisted printing processes. The sensors deliver sensitivities of 313.28 µA mm-1 cm-2 for glucose and 0.87 µA mm-1 cm-2 for alcohol sensing with minimal drift over 30 h, which are among the best in the literature. The integrated patch can be used for reliable and wireless diet monitoring or medical intervention via epidermal analysis and would inspire the advances of wearable devices for intelligent healthcare applications.
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Affiliation(s)
- Suman Ma
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
- Department of Materials Science and Engineering, Shenzhen Key Laboratory of Full Spectral Solar Electricity Generation (FSSEG), Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhu'an Wan
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Chen Wang
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Zhilong Song
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
- Key Laboratory of Zhenjiang, Institute for Energy Research, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Yucheng Ding
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Daquan Zhang
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Chak Lam Jonathan Chan
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Lei Shu
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Liting Huang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhensen Yang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Fei Wang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Jiaming Bai
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
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8
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Zhang Z, Li Z, Wei K, Cao Z, Zhu Z, Chen R. Sweat as a source of non-invasive biomarkers for clinical diagnosis: An overview. Talanta 2024; 273:125865. [PMID: 38452593 DOI: 10.1016/j.talanta.2024.125865] [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: 09/17/2023] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 03/09/2024]
Abstract
Sweat has excellent potential as one of the sources of non-invasive biomarkers for clinical diagnosis. It is relatively easy to collect and process and may contain different disease-specific markers and drug metabolites, making it ideal for various clinical applications. This article discusses the anatomy of sweat glands and their role in sweat production, as well as the history and development of multiple sweat sample collection and analysis techniques. Another primary focus of this article is the application of sweat detection in clinical disease diagnosis and other life scenarios. Finally, the limitations and prospects of sweat analysis are discussed.
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Affiliation(s)
- Zhiliang Zhang
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Department of Plastic and Aesthetic Surgery, Ningbo Hangzhou Bay Hospital, Zhejiang, China
| | - Zhanhong Li
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Kunchen Wei
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Zehui Cao
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhigang Zhu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
| | - Rui Chen
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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9
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Nguyen QD, Choi CG. Recent advances in multifunctional electromagnetic interference shielding materials. Heliyon 2024; 10:e31118. [PMID: 38770332 PMCID: PMC11103537 DOI: 10.1016/j.heliyon.2024.e31118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/22/2024] Open
Abstract
Electromagnetic interference (EMI) shielding material is the most effective solution to protect electronic devices and human health from the harmful effects of electromagnetic radiation. The study of EMI shielding materials is intensifying in the constantly developing picture of the fourth industrial revolution. Many EMI shielding materials based on metal, carbon, emerging MXene materials, and their composites have been discovered to utilize the EMI shielding performance. However, a huge demand for compact and multi-functional devices requires the integration of new functions into EMI shielding materials. Multifunctional EMI shielding materials perform multiple functions beyond their main function of EMI shielding in a system due to their specific properties. The additional functions can either naturally exist or be specially engineered. This review summarizes the recent progress of cutting-edge multifunctional EMI shielding materials. The possibility of combining multifunction EMI shielding materials, such as strain sensing, humidity sensing, temperature sensing, thermal management, etc., and the difficulties in balancing EMI shielding performance with other functions are also discussed. Lastly, we point out challenges and propose future directions to develop research on multifunctional EMI shielding materials.
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Affiliation(s)
- Quy-Dat Nguyen
- Graphene Research Team, Materials and Components Research Division, Superintelligence Creative Research Laboratory, Electronics and Telecommunication Research Institute (ETRI), Daejeon, 34129, Republic of Korea
- Semiconductor and Advanced Device Engineering, ETRI School, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
| | - Choon-Gi Choi
- Graphene Research Team, Materials and Components Research Division, Superintelligence Creative Research Laboratory, Electronics and Telecommunication Research Institute (ETRI), Daejeon, 34129, Republic of Korea
- Semiconductor and Advanced Device Engineering, ETRI School, University of Science and Technology (UST), Daejeon, 34113, Republic of Korea
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10
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Wang W, Harimurti S, Inoue D, Nayeem MOG, Wang J, Okuda C, Hashizume D, Lee S, Fukuda K, Yokota T, Someya T. Janus Membrane-Based Wearable pH Sensor with Sweat Absorption, Gas Permeability, and Self-Adhesiveness. ACS APPLIED MATERIALS & INTERFACES 2024; 16:27065-27074. [PMID: 38748094 DOI: 10.1021/acsami.4c02189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
Wearable biomedical sensors have enabled noninvasive and continuous physiological monitoring for daily health management and early detection of chronic diseases. Among biomedical sensors, wearable pH sensors attracted significant interest, as pH influences most biological reactions. However, conformable pH sensors that have sweat absorption ability, are self-adhesive to the skin, and are gas permeable remain largely unexplored. In this study, we present a pioneering approach to this problem by developing a Janus membrane-based pH sensor with self-adhesiveness on the skin. The sensor is composed of a hydrophobic polyurethane-polydimethylsiloxane porous hundreds nanometer-thick substrate and a hydrophilic poly(vinyl alcohol)-poly(acrylic acid) porous nanofiber layer. This Janus membrane exhibits a thickness of around 10 μm, providing a conformable adhesion to the skin. The simultaneous realization of solution absorption, gas permeability, and self-adhesiveness makes it suitable for long-term continuous monitoring without compromising the comfort of the wearer. The pH sensor was tested successfully for continuous monitoring for 7.5 h, demonstrating its potential for stable analysis of skin health conditions. The Janus membrane-based pH sensor holds significant promise for comprehensive skin health monitoring and wearable biomedical applications.
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Affiliation(s)
- Wenqing Wang
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
- Thin-Film Device Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Suksmandhira Harimurti
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Daishi Inoue
- Thin-Film Device Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Md Osman Goni Nayeem
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Jiachen Wang
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
- Thin-Film Device Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Chika Okuda
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Daisuke Hashizume
- Thin-Film Device Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Sunghoon Lee
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
- Thin-Film Device Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Kenjiro Fukuda
- Thin-Film Device Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
| | - Tomoyuki Yokota
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
- Institute of Engineering Innovation, Graduate School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
| | - Takao Someya
- Department of Electrical Engineering and Information Systems, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
- Thin-Film Device Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan
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11
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Zhang S, He Z, Zhao W, Liu C, Zhou S, Ibrahim OO, Wang C, Wang Q. Innovative Material-Based Wearable Non-Invasive Electrochemical Sweat Sensors towards Biomedical Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:857. [PMID: 38786813 PMCID: PMC11124380 DOI: 10.3390/nano14100857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/26/2024] [Accepted: 05/09/2024] [Indexed: 05/25/2024]
Abstract
Sweat is an accessible biofluid that provides useful physiological information about the body's biomolecular state and systemic health. Wearable sensors possess various advantageous features, such as lightweight design, wireless connectivity, and compatibility with human skin, that make them suitable for continuous monitoring. Wearable electrochemical sweat sensors can diagnose diseases and monitor health conditions by detecting biomedical signal changes in sweat. This paper discusses the state-of-the-art research in the field of wearable sweat sensors and the materials used in their construction. It covers biomarkers present in sweat, sensing modalities, techniques for sweat collection, and ways to power these sensors. Innovative materials are categorized into three subcategories: sweat collection, sweat detection, and self-powering. These include substrates for sensor fabrication, analyte detection electrodes, absorbent patches, microfluidic devices, and self-powered devices. This paper concludes by forecasting future research trends and prospects in material-based wearable non-invasive sweat sensors.
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Affiliation(s)
- Sheng Zhang
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo 315100, China
- School of Biological and Chemical Engineering, Ningbo Tech University, Ningbo 315100, China
| | - Zhaotao He
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- Polytechnic Institute, Zhejiang University, Hangzhou 310015, China
| | - Wenjie Zhao
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Chen Liu
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo 315100, China
| | - Shulan Zhou
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- Polytechnic Institute, Zhejiang University, Hangzhou 310015, China
| | - Oresegun Olakunle Ibrahim
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- State Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou 310027, China
| | - Chunge Wang
- School of Mechanical and Energy Engineering, Ningbo Tech University, Ningbo 315100, China;
| | - Qianqian Wang
- Ningbo Innovation Center, Zhejiang University, Ningbo 315100, China; (S.Z.); (Z.H.); (W.Z.); (C.L.); (S.Z.); (O.O.I.)
- School of Biological and Chemical Engineering, Ningbo Tech University, Ningbo 315100, China
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12
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Zhang T, Zhu J, Xie M, Meng K, Yao G, Pan T, Gao M, Cheng H, Lin Y. Highly Sensitive Wearable Sensor Based on (001)-Orientated TiO 2 for Real-Time Electrochemical Detection of Dopamine, Tyrosine, and Paracetamol. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2312238. [PMID: 38319031 DOI: 10.1002/smll.202312238] [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: 12/29/2023] [Revised: 01/22/2024] [Indexed: 02/07/2024]
Abstract
The concentration of dopamine (DA) and tyrosine (Tyr) reflects the condition of patients with Parkinson's disease, whereas moderate paracetamol (PA) can help relieve their pain. Therefore, real-time measurements of these bioanalytes have important clinical implications for patients with Parkinson's disease. However, previous sensors suffer from either limited sensitivity or complex fabrication and integration processes. This work introduces a simple and cost-effective method to prepare high-quality, flexible titanium dioxide (TiO2) thin films with highly reactive (001)-facets. The as-fabricated TiO2 film supported by a carbon cloth electrode (i.e., TiO2-CC) allows excellent electrochemical specificity and sensitivity to DA (1.390 µA µM-1 cm-2), Tyr (0.126 µA µM-1 cm-2), and PA (0.0841 µA µM-1 cm-2). More importantly, accurate DA concentration in varied pH conditions can be obtained by decoupling them within a single differential pulse voltammetry measurement without additional sensing units. The TiO2-CC electrochemical sensor can be integrated into a smart diaper to detect the trace amount of DA or an integrated skin-interfaced patch with microfluidic sampling and wireless transmission units for real-time detection of the sweat Try and PA concentration. The wearable sensor based on TiO2-CC prepared by facile manufacturing methods holds great potential in the daily health monitoring and care of patients with neurological disorders.
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Affiliation(s)
- Tianyao Zhang
- School of Material and Energy, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Jia Zhu
- School of Material and Energy, University of Electronic Science and Technology of China, Chengdu, 610054, China
- Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, 324000, China
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania, 16802, USA
| | - Maowen Xie
- School of Material and Energy, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Ke Meng
- School of Material and Energy, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Guang Yao
- School of Material and Energy, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Taisong Pan
- School of Material and Energy, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Min Gao
- School of Material and Energy, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Huanyu Cheng
- Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, Pennsylvania, 16802, USA
| | - Yuan Lin
- School of Material and Energy, University of Electronic Science and Technology of China, Chengdu, 610054, China
- Medico-Engineering Cooperation on Applied Medicine Research Center, University of Electronics Science and Technology of China, Chengdu, 610054, China
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13
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Zhao H, Zhang L, Deng T, Li C. Microfluidic Sensing Textile for Continuous Monitoring of Sweat Glucose at Rest. ACS APPLIED MATERIALS & INTERFACES 2024; 16:19605-19614. [PMID: 38568178 DOI: 10.1021/acsami.4c01912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Wearable sweat sensors have received considerable attention due to their great potential for noninvasive continuous monitoring of an individual's health status applications. However, the low secretion rate and fast evaporation of sweat pose challenges in collecting sweat from sedentary individuals for noninvasive analysis of body physiology. Here, we demonstrate wearable textiles for continuous monitoring of sweat at rest using the combination of a heating element and a microfluidic channel to increase localized skin sweat secretion rates and combat sweat evaporation, enabling accurate and stable monitoring of trace amounts of sweat. The Janus sensing yarns with a glucose sensing sensitivity of 36.57 mA cm-2 mM-1 are embroidered into the superhydrophobic heated textile to collect sweat directionally, resulting in improved sweat collection efficiency of up to 96 and 75% retention. The device also maintains a highly durable sensing performance, even in dynamic deformation, recycling, and washing. The microfluidic sensing textile can be further designed into a wireless sensing system that enables sedentary-compatible sweat analysis for the continuous, real-time monitoring of body glucose levels at rest.
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Affiliation(s)
- He Zhao
- Key Laboratory for Ultrafine Materials of Ministry of Education, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Materials Science and Engineering, East China University of Science & Technology, Shanghai 200237, China
| | - Ling Zhang
- Key Laboratory for Ultrafine Materials of Ministry of Education, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Materials Science and Engineering, East China University of Science & Technology, Shanghai 200237, China
| | - Tianbo Deng
- Key Laboratory for Ultrafine Materials of Ministry of Education, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Materials Science and Engineering, East China University of Science & Technology, Shanghai 200237, China
| | - Chunzhong Li
- Key Laboratory for Ultrafine Materials of Ministry of Education, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Materials Science and Engineering, East China University of Science & Technology, Shanghai 200237, China
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14
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Liu M, Liu S, Zhang T, Zhou D, Li L, Gao Q, Liu Y, Ge C, Wang Y, Wang M, Wen F, Xiong Z, Zhou Z, Wang S, Zhang T. Adaptively resettable microfluidic patch for sweat rate and electrolytes detection. Biosens Bioelectron 2024; 257:116299. [PMID: 38636318 DOI: 10.1016/j.bios.2024.116299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Revised: 04/07/2024] [Accepted: 04/14/2024] [Indexed: 04/20/2024]
Abstract
Skin-interfaced microfluidic patch has become a reliable device for sweat collection and analysis. However, the intractable problems of emptying the microchannel for reuse, and the channel's volumetric capacity limited by the size of the patch, directly hinder the practical application of sweat sensors. Herein, we report an adaptively resettable microfluidic sweat patch (Art-Sweat patch) capable of continuously monitoring both sweat rate (0.2-4.0 μL min-1) and total ionic charge concentration (10-200 mmol L-1). We develop a platform with a vertical and horizontal microchannel combined strategy, enabling repeatedly filling sweat and emptying the microchannel for autonomously resetting and detecting. The variation in the emptied volume is designed to be adaptively identified by the sensor, resulting in enhanced stability and an enlarged volumetric capacity of over 300 μL. By integrating with self-designed wireless transmission modules, the proposed Art-Sweat patch shows product-level wearability and high performance in monitoring variations in regional sweat rate and concentration for hydration status assessment.
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Affiliation(s)
- Mengyuan Liu
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Siyuan Liu
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Tong Zhang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Dengfeng Zhou
- Suzhou Leanstar Electronic Technology Co., Ltd., 99 Jinji Lake Avenue, Suzhou, Jiangsu, 215123, PR China
| | - Lianhui Li
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Qiang Gao
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Yujie Liu
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Changlei Ge
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Yongfeng Wang
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Mingxu Wang
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Feng Wen
- i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Zuoping Xiong
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Suzhou Leanstar Electronic Technology Co., Ltd., 99 Jinji Lake Avenue, Suzhou, Jiangsu, 215123, PR China
| | - Zhen Zhou
- Suzhou Leanstar Electronic Technology Co., Ltd., 99 Jinji Lake Avenue, Suzhou, Jiangsu, 215123, PR China
| | - Shuqi Wang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.
| | - Ting Zhang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Nano-X Vacuum Interconnected Workstation, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.
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15
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Li Y, Shi Z, Wu X, Miao W, Yang Z, Lou X, Sun W, Guo C, Li CM. Graphdiyne marries PEDOT:PSS to form high-stable heterostructure from 2-unstable components toward ultra-low detection limit of uric acid detection in sweat. Mikrochim Acta 2024; 191:243. [PMID: 38575711 DOI: 10.1007/s00604-024-06311-6] [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: 12/29/2023] [Accepted: 03/11/2024] [Indexed: 04/06/2024]
Abstract
PEDOT PSS has been used as a biomimetic uric acid (UA) sensor but suffers from unfortunate low detection limit (LOD), narrow detection range and poor stability. Herein, we get graphdiyne (GDY) marry PEDOT:PSS to create a very stable GDY@PEDOT:PSS heterostructure for a biomimetic UA sensor, which accomplishes the lowest LOD (6 nM), the widest detection range (0.03 μM-7 mM) and the longest stability (98.1% for 35 days) among the related UA sensors. The sensor was successfully used to in situ real-time detection of UA in sweat. The enhancement mechanisms of the sensor were investigated, and results discover that C≡C of GDY and C = C of PEDOT:PSS can cross-link each other by π-π interactions, making not only the former strongly resistant against oxidation deterioration, but also causes the latter to efficiently prevent water swelling of polymer for poor conductivity, thereby leading to high stability from both components. While the stabilized heterostructure can also offer more active sites by enhanced absorption of UA via π-π interactions for highly sensitive detection of UA. This work holds great promise for a practical sweat UA sensor while providing scientific insight to design a stable and electrocatalytically active structure from two unstable components.
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Affiliation(s)
- Yunpeng Li
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China
| | - Zhuanzhuan Shi
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China.
| | - Xiaoshuai Wu
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China
| | - Wenting Miao
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China
| | - Zhengyi Yang
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China
| | - Xinyu Lou
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China
| | - Wei Sun
- College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou, 571158, China
| | - Chunxian Guo
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China.
| | - Chang Ming Li
- Institute of Materials Science and Devices, School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215011, China.
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16
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Nagamine K. Non-invasive and non-destructive chemical sensing using a wet-interfacing technique. ANAL SCI 2024; 40:579-580. [PMID: 38523221 DOI: 10.1007/s44211-024-00517-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Affiliation(s)
- Kuniaki Nagamine
- Graduate School of Organic Materials Science, Yamagata University, 4-3-16 Jonan, Yonezawa, Yamagata, 992-8510, Japan.
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17
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Apoorva S, Nguyen NT, Sreejith KR. Recent developments and future perspectives of microfluidics and smart technologies in wearable devices. LAB ON A CHIP 2024; 24:1833-1866. [PMID: 38476112 DOI: 10.1039/d4lc00089g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Wearable devices are gaining popularity in the fields of health monitoring, diagnosis, and drug delivery. Recent advances in wearable technology have enabled real-time analysis of biofluids such as sweat, interstitial fluid, tears, saliva, wound fluid, and urine. The integration of microfluidics and emerging smart technologies, such as artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT), into wearable devices offers great potential for accurate and non-invasive monitoring and diagnosis. This paper provides an overview of current trends and developments in microfluidics and smart technologies in wearable devices for analyzing body fluids. The paper discusses common microfluidic technologies in wearable devices and the challenges associated with analyzing each type of biofluid. The paper emphasizes the importance of combining smart technologies with microfluidics in wearable devices, and how they can aid diagnosis and therapy. Finally, the paper covers recent applications, trends, and future developments in the context of intelligent microfluidic wearable devices.
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Affiliation(s)
- Sasikala Apoorva
- UKF Centre for Advanced Research and Skill Development(UCARS), UKF College of Engineering and Technology, Kollam, Kerala, India, 691 302
| | - Nam-Trung Nguyen
- Queensland Micro and Nanotechnology Centre, Griffith University, 170 Kessels Road, Nathan, 4111, Queensland, Australia.
| | - Kamalalayam Rajan Sreejith
- Queensland Micro and Nanotechnology Centre, Griffith University, 170 Kessels Road, Nathan, 4111, Queensland, Australia.
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18
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Brasier N, Sempionatto JR, Bourke S, Havenith G, Schaffarczyk D, Goldhahn J, Lüscher C, Gao W. Towards on-skin analysis of sweat for managing disorders of substance abuse. Nat Biomed Eng 2024:10.1038/s41551-024-01187-6. [PMID: 38499644 DOI: 10.1038/s41551-024-01187-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Affiliation(s)
- Noe Brasier
- Institute of Translational Medicine, Department of Health Science and Technology, ETH Zurich, Zurich, Switzerland.
- Collegium Helveticum, Zurich, Switzerland.
| | - Juliane R Sempionatto
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | | | - George Havenith
- Environmental Ergonomics Research Centre, Loughborough Design School, Loughborough University, Loughborough, UK
| | | | - Jörg Goldhahn
- Institute of Translational Medicine, Department of Health Science and Technology, ETH Zurich, Zurich, Switzerland
| | - Christian Lüscher
- Department of Basic Neurosciences, Medical Faculty, University of Geneva, Geneva, Switzerland
- Clinic of Neurology, Department of Clinical Neurosciences, Geneva University Hospital, Geneva, Switzerland
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
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19
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Deng M, Li X, Song K, Yang H, Wei W, Duan X, Ouyang X, Cheng H, Wang X. Skin-Interfaced Bifluidic Paper-Based Device for Quantitative Sweat Analysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2306023. [PMID: 38133495 PMCID: PMC10933605 DOI: 10.1002/advs.202306023] [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: 08/24/2023] [Revised: 10/24/2023] [Indexed: 12/23/2023]
Abstract
The erratic, intermittent, and unpredictable nature of sweat production, resulting from physiological or psychological fluctuations, poses intricacies to consistently and accurately sample and evaluate sweat biomarkers. Skin-interfaced microfluidic devices that rely on colorimetric mechanisms for semi-quantitative detection are particularly susceptible to these inaccuracies due to variations in sweat secretion rate or instantaneous volume. This work introduces a skin-interfaced colorimetric bifluidic sweat device with two synchronous channels to quantify sweat rate and biomarkers in real-time, even during uncertain sweat activities. In the proposed bifluidic-distance metric approach, with one channel to measure sweat rate and quantify collected sweat volume, the other channel can provide an accurate analysis of the biomarkers based on the collected sweat volume. The closed channel design also reduces evaporation and resists contamination from the external environment. The feasibility of the device is highlighted in a proof-of-the-concept demonstration to analyze sweat chloride for evaluating hydration status and sweat glucose for assessing glucose levels. The low-cost yet highly accurate device provides opportunities for clinical sweat analysis and disease screening in remote and low-resource settings. The developed device platform can be facilely adapted for the other biomarkers when corresponding colorimetric reagents are exploited.
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Affiliation(s)
- Muhan Deng
- School of Materials Science and EngineeringXiangtan UniversityXiangtanHunan411105China
| | - Xiaofeng Li
- School of Materials Science and EngineeringXiangtan UniversityXiangtanHunan411105China
| | - Kui Song
- Department of Engineering Science and MechanicsXiangtan UniversityXiangtanHunan411105China
| | - Hanlin Yang
- School of Materials Science and EngineeringXiangtan UniversityXiangtanHunan411105China
| | - Wenkui Wei
- School of Materials Science and EngineeringXiangtan UniversityXiangtanHunan411105China
| | - Xiaojun Duan
- Hunan Provincial Children's HospitalChangshaHunan410000China
| | - Xiaoping Ouyang
- School of Materials Science and EngineeringXiangtan UniversityXiangtanHunan411105China
| | - Huanyu Cheng
- Department of Engineering Science and MechanicsThe Pennsylvania State UniversityUniversity ParkPA16802USA
| | - Xiufeng Wang
- School of Materials Science and EngineeringXiangtan UniversityXiangtanHunan411105China
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20
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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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21
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Ece E, Ölmez K, Hacıosmanoğlu N, Atabay M, Inci F. Advancing 3D printed microfluidics with computational methods for sweat analysis. Mikrochim Acta 2024; 191:162. [PMID: 38411762 PMCID: PMC10899357 DOI: 10.1007/s00604-024-06231-5] [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: 12/05/2023] [Accepted: 01/18/2024] [Indexed: 02/28/2024]
Abstract
The intricate tapestry of biomarkers, including proteins, lipids, carbohydrates, vesicles, and nucleic acids within sweat, exhibits a profound correlation with the ones in the bloodstream. The facile extraction of samples from sweat glands has recently positioned sweat sampling at the forefront of non-invasive health monitoring and diagnostics. While extant platforms for sweat analysis exist, the imperative for portability, cost-effectiveness, ease of manufacture, and expeditious turnaround underscores the necessity for parameters that transcend conventional considerations. In this regard, 3D printed microfluidic devices emerge as promising systems, offering a harmonious fusion of attributes such as multifunctional integration, flexibility, biocompatibility, a controlled closed environment, and a minimal requisite analyte volume-features that leverage their prominence in the realm of sweat analysis. However, formidable challenges, including high throughput demands, chemical interactions intrinsic to the printing materials, size constraints, and durability concerns, beset the landscape of 3D printed microfluidic devices. Within this paradigm, we expound upon the foundational aspects of 3D printed microfluidic devices and proffer a distinctive perspective by delving into the computational study of printing materials utilizing density functional theory (DFT) and molecular dynamics (MD) methodologies. This multifaceted approach serves manifold purposes: (i) understanding the complexity of microfluidic systems, (ii) facilitating comprehensive analyses, (iii) saving both cost and time, (iv) improving design optimization, and (v) augmenting resolution. In a nutshell, the allure of 3D printing lies in its capacity for affordable and expeditious production, offering seamless integration of diverse components into microfluidic devices-a testament to their inherent utility in the domain of sweat analysis. The synergistic fusion of computational assessment methodologies with materials science not only optimizes analysis and production processes, but also expedites their widespread accessibility, ensuring continuous biomarker monitoring from sweat for end-users.
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Affiliation(s)
- Emre Ece
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey
| | - Kadriye Ölmez
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey
| | - Nedim Hacıosmanoğlu
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey
| | - Maryam Atabay
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey
- Department of Chemistry, Hacettepe University, 06800, Ankara, Turkey
| | - Fatih Inci
- UNAM-National Nanotechnology Research Center, Bilkent University, 06800, Ankara, Turkey.
- Institute of Materials Science and Nanotechnology, Bilkent University, 06800, Ankara, Turkey.
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22
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Olyanasab A, Annabestani M. Leveraging Machine Learning for Personalized Wearable Biomedical Devices: A Review. J Pers Med 2024; 14:203. [PMID: 38392636 PMCID: PMC10890129 DOI: 10.3390/jpm14020203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 01/29/2024] [Accepted: 02/11/2024] [Indexed: 02/24/2024] Open
Abstract
This review investigates the convergence of artificial intelligence (AI) and personalized health monitoring through wearable devices, classifying them into three distinct categories: bio-electrical, bio-impedance and electro-chemical, and electro-mechanical. Wearable devices have emerged as promising tools for personalized health monitoring, utilizing machine learning to distill meaningful insights from the expansive datasets they capture. Within the bio-electrical category, these devices employ biosignal data, such as electrocardiograms (ECGs), electromyograms (EMGs), electroencephalograms (EEGs), etc., to monitor and assess health. The bio-impedance and electro-chemical category focuses on devices measuring physiological signals, including glucose levels and electrolytes, offering a holistic understanding of the wearer's physiological state. Lastly, the electro-mechanical category encompasses devices designed to capture motion and physical activity data, providing valuable insights into an individual's physical activity and behavior. This review critically evaluates the integration of machine learning algorithms within these wearable devices, illuminating their potential to revolutionize healthcare. Emphasizing early detection, timely intervention, and the provision of personalized lifestyle recommendations, the paper outlines how the amalgamation of advanced machine learning techniques with wearable devices can pave the way for more effective and individualized healthcare solutions. The exploration of this intersection promises a paradigm shift, heralding a new era in healthcare innovation and personalized well-being.
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Affiliation(s)
- Ali Olyanasab
- Institute for Integrated Circuits, Johannes Kepler University Linz, 4040 Linz, Austria
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23
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Eiler J, Ehtiati K, Sørensen IE, Thormann E. Measuring the Salt Content of Sweat inside a Sweat-Absorbing Skin Adhesive. ACS APPLIED BIO MATERIALS 2024; 7:452-461. [PMID: 38064363 DOI: 10.1021/acsabm.3c01051] [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: 01/16/2024]
Abstract
Biofluids contain a wealth of different biomarkers, and their concentrations are indicative of the state of the body. As one of those biofluids, sweat is easily accessible, and its composition can, for example, be related to particular diseases or sports performance. Due to the relatively low sweat flow rates, however, adequate sampling is paramount. Here, we aim to explore the potential use of sweat-absorbing skin adhesives as a sweat sampling system for wearable sensors with a simple construction. Upon absorption of sweat, the electrochemical properties of the skin adhesive are determined by the composition of sweat and the amount of sweat within the skin adhesive (i.e., hydration). Through the incorporation of two polarizable electrodes within the skin adhesive, its electrical properties can be monitored using impedance spectroscopy. Here, the double layer capacitance is used as an indicator of hydration, while the conductance depends on both the ion concentration and hydration (the mobility of ions). By evaluating the conductance as a function of hydration, the ion concentration within an electrolyte solution can be estimated. We demonstrate the concept based on a simple model sensor patch, which is exposed to electrolyte solutions containing various concentrations of NaCl and an artificial sweat solution. Finally, we show that ion concentrations in human sweat can be estimated when the model sensor patch is worn during exercise.
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Affiliation(s)
- Johannes Eiler
- Department of Chemistry, Technical University of Denmark, Lyngby 2800 Kgs., Denmark
| | - Koosha Ehtiati
- Department of Chemistry, Technical University of Denmark, Lyngby 2800 Kgs., Denmark
| | | | - Esben Thormann
- Department of Chemistry, Technical University of Denmark, Lyngby 2800 Kgs., Denmark
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24
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Li L, Lei T, Xing C, Du H. Advances in microfluidic chips targeting toxic aggregation proteins for neurodegenerative diseases. Int J Biol Macromol 2024; 256:128308. [PMID: 37992921 DOI: 10.1016/j.ijbiomac.2023.128308] [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: 09/18/2023] [Revised: 11/10/2023] [Accepted: 11/19/2023] [Indexed: 11/24/2023]
Abstract
Neurodegenerative diseases (NDs) are characterized by nervous system damage, often influenced by genetic and aging factors. Pathological analysis frequently reveals the presence of aggregated toxic proteins. The intricate and poorly understood origins of these diseases have hindered progress in early diagnosis and drug development. The development of novel in-vitro and in-vivo models could enhance our comprehension of ND mechanisms and facilitate clinical treatment advancements. Microfluidic chips are employed to establish three-dimensional culture conditions, replicating the human ecological niche and creating a microenvironment conducive to neuronal cell survival. The incorporation of mechatronic controls unifies the chip, cells, and culture medium optimizing living conditions for the cells. This study provides a comprehensive overview of microfluidic chip applications in drug and biomarker screening for neurodegenerative diseases including Alzheimer's disease, Parkinson's disease, Huntington's disease, multiple sclerosis, and amyotrophic lateral sclerosis. Our Lab-on-a-Chip system releases toxic proteins to simulate the pathological characteristics of neurodegenerative diseases, encompassing β-amyloid, α-synuclein, huntingtin, TAR DNA-binding protein 43, and Myelin Basic Protein. Investigating molecular and cellular interactions in vitro can enhance our understanding of disease mechanisms while minimizing harmful protein levels and can aid in screening potential therapeutic agents. We anticipate that our research will promote the utilization of microfluidic chips in both fundamental research and clinical applications for neurodegenerative diseases.
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Affiliation(s)
- Liang Li
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Tong Lei
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China
| | - Cencan Xing
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China.
| | - Hongwu Du
- School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China; Daxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China.
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25
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Sayyad PW, Park SJ, Ha TJ. Bioinspired nanoplatforms for human-machine interfaces: Recent progress in materials and device applications. Biotechnol Adv 2024; 70:108297. [PMID: 38061687 DOI: 10.1016/j.biotechadv.2023.108297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 11/20/2023] [Accepted: 11/29/2023] [Indexed: 01/13/2024]
Abstract
The panoramic characteristics of human-machine interfaces (HMIs) have prompted the needs to update the biotechnology community with the recent trends, developments, and future research direction toward next-generation bioelectronics. Bioinspired materials are promising for integrating various bioelectronic devices to realize HMIs. With the advancement of scientific biotechnology, state-of-the-art bioelectronic applications have been extensively investigated to improve the quality of life by developing and integrating bioinspired nanoplatforms in HMIs. This review highlights recent trends and developments in the field of biotechnology based on bioinspired nanoplatforms by demonstrating recently explored materials and cutting-edge device applications. Section 1 introduces the recent trends and developments of bioinspired nanomaterials for HMIs. Section 2 reviews various flexible, wearable, biocompatible, and biodegradable nanoplatforms for bioinspired applications. Section 3 furnishes recently explored substrates as carriers for advanced nanomaterials in developing HMIs. Section 4 addresses recently invented biomimetic neuroelectronic, nanointerfaces, biointerfaces, and nano/microfluidic wearable bioelectronic devices for various HMI applications, such as healthcare, biopotential monitoring, and body fluid monitoring. Section 5 outlines designing and engineering of bioinspired sensors for HMIs. Finally, the challenges and opportunities for next-generation bioinspired nanoplatforms in extending the potential on HMIs are discussed for a near-future scenario. We believe this review can stimulate the integration of bioinspired nanoplatforms into the HMIs in addition to wearable electronic skin and health-monitoring devices while addressing prevailing and future healthcare and material-related problems in biotechnologies.
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Affiliation(s)
- Pasha W Sayyad
- Dept. of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, South Korea
| | - Sang-Joon Park
- Dept. of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, South Korea
| | - Tae-Jun Ha
- Dept. of Electronic Materials Engineering, Kwangwoon University, Seoul 01897, South Korea.
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26
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Radtke MD, Steinberg FM, Scherr RE. Methods for Assessing Health Outcomes Associated with Food Insecurity in the United States College Student Population: A Narrative Review. Adv Nutr 2024; 15:100131. [PMID: 37865221 PMCID: PMC10831897 DOI: 10.1016/j.advnut.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 10/03/2023] [Accepted: 10/12/2023] [Indexed: 10/23/2023] Open
Abstract
In the United States, college students experience disproportionate food insecurity (FI) rates compared to the national prevalence. The experience of acute and chronic FI has been associated with negative physical and mental health outcomes in this population. This narrative review aims to summarize the current methodologies for assessing health outcomes associated with the experience of FI in college students in the United States. To date, assessing the health outcomes of FI has predominately consisted of subjective assessments, such as self-reported measures of dietary intake, perceived health status, stress, depression, anxiety, and sleep behaviors. This review, along with the emergence of FI as an international public health concern, establishes the need for novel, innovative, and objective biomarkers to evaluate the short- and long-term impacts of FI on physical and mental health outcomes in college students. The inclusion of objective biomarkers will further elucidate the relationship between FI and a multitude of health outcomes to better inform strategies for reducing the pervasiveness of FI in the United States college student population.
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Affiliation(s)
- Marcela D Radtke
- Propel Postdoctoral Fellow, Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford University, Palo Alto, CA, USA 94305
| | | | - Rachel E Scherr
- Family, Interiors, Nutrition & Apparel Department, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA, USA, 94132; Scherr Nutrition Science Consulting, San Francisco, CA, 94115.
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27
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Zheng XT, Goh WP, Yu Y, Sutarlie L, Chen DY, Tan SCL, Jiang C, Zhao M, Ba T, Li H, Su X, Yang L. Skin-Attachable Ink-Dispenser-Printed Paper Fluidic Sensor Patch for Colorimetric Sweat Analysis. Adv Healthc Mater 2024; 13:e2302173. [PMID: 37897264 DOI: 10.1002/adhm.202302173] [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: 07/10/2023] [Revised: 10/09/2023] [Indexed: 10/30/2023]
Abstract
In situ analysis of sweat biomarkers potentially provides noninvasive lifestyle monitoring and early diagnosis. Quantitative detection of sweat rate is crucial for thermoregulation and preventing heat injuries. Here, a skin-attachable paper fluidic patch is reported for in situ colorimetric sensing of multiple sweat markers (pH, glucose, lactate, and uric acid) with concurrent sweat rate tracking. Two sets of fluidic patterns-multiplexed detection zones and a longitudinal sweat rate channel-are directly printed by an automated ink dispenser from a specially developed ceramic-based ink. The ceramic ink thermal-cures into an impervious barrier, confining sweat within the channels. The ceramic-ink-printed boundary achieves higher pattern resolution, prevents fluid leakage, attains pattern thermal stability, and resistant to organic solvents. The cellulose matrix of the detection zones is modified with nanoparticles to improve the color homogeneity and sweat sensor sensitivity. The sweat rate channel is made moisture sensitive by incorporating a metal-salt-based dye. The change in saturation/color of the detection zones and/or channels upon sweat addition can be visually detected or quantified by a smartphone camera. A cost-effective way is provided to fabricate paper fluidic sensor patches, successfully demonstrating on-body multiplexed evaluation of sweat analytes. Such skin wearables offer on-site analysis, meaningful to an increasingly health-conscious population.
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Affiliation(s)
- Xin Ting Zheng
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
| | - Wei Peng Goh
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
| | - Yong Yu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
| | - Laura Sutarlie
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
| | - Der Ying Chen
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Republic of Singapore
| | - Sherwin Chong Li Tan
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
| | - Changyun Jiang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
| | - Meng Zhao
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
| | - Te Ba
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, Connexis #16-16, Singapore, 138632, Republic of Singapore
| | - Hongying Li
- Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), 1 Fusionopolis Way, Connexis #16-16, Singapore, 138632, Republic of Singapore
| | - Xiaodi Su
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
- Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Republic of Singapore
| | - Le Yang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore
- Department of Materials Science and Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore, 117575, Republic of Singapore
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28
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Wu SJ, Zhao X. Bioadhesive Technology Platforms. Chem Rev 2023; 123:14084-14118. [PMID: 37972301 DOI: 10.1021/acs.chemrev.3c00380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Bioadhesives have emerged as transformative and versatile tools in healthcare, offering the ability to attach tissues with ease and minimal damage. These materials present numerous opportunities for tissue repair and biomedical device integration, creating a broad landscape of applications that have captivated clinical and scientific interest alike. However, fully unlocking their potential requires multifaceted design strategies involving optimal adhesion, suitable biological interactions, and efficient signal communication. In this Review, we delve into these pivotal aspects of bioadhesive design, highlight the latest advances in their biomedical applications, and identify potential opportunities that lie ahead for bioadhesives as multifunctional technology platforms.
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Affiliation(s)
- Sarah J Wu
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
| | - Xuanhe Zhao
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States
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29
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Lee S, Kim E, Moon CE, Park C, Lim JW, Baek M, Shin MK, Ki J, Cho H, Ji YW, Haam S. Amplified fluorogenic immunoassay for early diagnosis and monitoring of Alzheimer's disease from tear fluid. Nat Commun 2023; 14:8153. [PMID: 38071202 PMCID: PMC10710446 DOI: 10.1038/s41467-023-43995-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
Accurate diagnosis of Alzheimer's disease (AD) in its earliest stage can prevent the disease and delay the symptoms. Therefore, more sensitive, non-invasive, and simple screening tools are required for the early diagnosis and monitoring of AD. Here, we design a self-assembled nanoparticle-mediated amplified fluorogenic immunoassay (SNAFIA) consisting of magnetic and fluorophore-loaded polymeric nanoparticles. Using a discovery cohort of 21 subjects, proteomic analysis identifies adenylyl cyclase-associated protein 1 (CAP1) as a potential tear biomarker. The SNAFIA demonstrates a low detection limit (236 aM), good reliability (R2 = 0.991), and a wide analytical range (0.320-1000 fM) for CAP1 in tear fluid. Crucially, in the verification phase with 39 subjects, SNAFIA discriminates AD patients from healthy controls with 90% sensitivity and 100% specificity in under an hour. Utilizing tear fluid as a liquid biopsy, SNAFIA could potentially aid in long-term care planning, improve clinical trial efficiency, and accelerate therapeutic development for AD.
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Affiliation(s)
- Sojeong Lee
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Eunjung Kim
- Division of Bioengineering, Incheon National University, Incheon, 22012, Republic of Korea
- Department of Bioengineering & Nano-bioengineering, Research Center for Bio Materials and Process Development, Incheon National University, Incheon, 22012, Republic of Korea
| | - Chae-Eun Moon
- Department of Ophthalmology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, 16995, Republic of Korea
| | - Chaewon Park
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jong-Woo Lim
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Minseok Baek
- Department of Neurology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, 26426, Republic of Korea
| | - Moo-Kwang Shin
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jisun Ki
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea.
| | - Yong Woo Ji
- Department of Ophthalmology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, 16995, Republic of Korea.
| | - Seungjoo Haam
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
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30
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Heng W, Weihua L, Bachagha K. Review on design strategies and applications of flexible cellulose‑carbon nanotube functional composites. Carbohydr Polym 2023; 321:121306. [PMID: 37739536 DOI: 10.1016/j.carbpol.2023.121306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/24/2023] [Accepted: 08/14/2023] [Indexed: 09/24/2023]
Abstract
Combining the excellent biocompatibility and mechanical flexibility of cellulose with the outstanding electrical, mechanical, optical and stability properties of carbon nanotubes (CNTs), cellulose-CNT composites have been extensively studied and applied to many flexible functional materials. In this review, we present advances in structural design strategies and various applications of cellulose-CNT composites. Firstly, the structural characteristics and corresponding treatments of cellulose and CNTs are analyzed, as are the potential interactions between the two to facilitate the formation of cellulose-CNT composites. Then, the design strategies and processing techniques of cellulose-CNT composites are discussed from the perspectives of cellulose fibers at the macroscopic scale (natural cotton, hemp, and other fibers; recycled cellulose fibers); nanocellulose at the micron scale (nanofibers, nanocrystals, etc.); and macromolecular chains at the molecular scale (cellulose solutions). Further, the applications of cellulose-CNT composites in various fields, such as flexible energy harvesting and storage devices, strain and humidity sensors, electrothermal devices, magnetic shielding, and photothermal conversion, are introduced. This review will help readers understand the design strategies of cellulose-CNT composites and develop potential high-performance applications.
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Affiliation(s)
- Wei Heng
- College of Materials Science and Engineering, Qingdao University, Qingdao 266071, Shandong, PR China
| | - Li Weihua
- College of Textiles and Clothing, Qingdao University, Qingdao 266071, Shandong, PR China.
| | - Kareem Bachagha
- Department of Physics, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan
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31
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Xu C, Solomon SA, Gao W. Artificial Intelligence-Powered Electronic Skin. NAT MACH INTELL 2023; 5:1344-1355. [PMID: 38370145 PMCID: PMC10868719 DOI: 10.1038/s42256-023-00760-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 10/18/2023] [Indexed: 02/20/2024]
Abstract
Skin-interfaced electronics is gradually changing medical practices by enabling continuous and noninvasive tracking of physiological and biochemical information. With the rise of big data and digital medicine, next-generation electronic skin (e-skin) will be able to use artificial intelligence (AI) to optimize its design as well as uncover user-personalized health profiles. Recent multimodal e-skin platforms have already employed machine learning (ML) algorithms for autonomous data analytics. Unfortunately, there is a lack of appropriate AI protocols and guidelines for e-skin devices, resulting in overly complex models and non-reproducible conclusions for simple applications. This review aims to present AI technologies in e-skin hardware and assess their potential for new inspired integrated platform solutions. We outline recent breakthroughs in AI strategies and their applications in engineering e-skins as well as understanding health information collected by e-skins, highlighting the transformative deployment of AI in robotics, prosthetics, virtual reality, and personalized healthcare. We also discuss the challenges and prospects of AI-powered e-skins as well as predictions for the future trajectory of smart e-skins.
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Affiliation(s)
- Changhao Xu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Samuel A. Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
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32
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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: 7] [Impact Index Per Article: 7.0] [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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33
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Ravanelli N, Newhouse D, Foster F, Caldwell AR. Agreement between the ventilated capsule and the KuduSmart® device for measuring sweating responses to passive heat stress and exercise. Appl Physiol Nutr Metab 2023; 48:946-953. [PMID: 37566898 DOI: 10.1139/apnm-2023-0149] [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: 08/13/2023]
Abstract
The present study assessed agreement between a wireless sweat rate monitor (KuduSmart® device) and the ventilated capsule (VC) technique for measuring: (i) minute-averaged local sweat rate (LSR), (ii) sweating onset, (iii) sudomotor thermosensitivity, and (iv) steady-state LSR, during passive heat stress and exercise. It was hypothesized that acceptable agreement with no bias would be observed between techniques for all assessed sweating characteristics. On two separate occasions for each intervention, participants were either passively heated by recirculating hot water (49 °C) through a tube-lined garment until rectal temperature increased 1 °C over baseline (n = 8), or a 60 min treadmill march at a fixed rate of heat production (∼500 W, n = 9). LSR of the forearm was concurrently measured with a VC and the KuduSmart® device secured within ∼2 cm. Using a ratio scale Bland-Altman analysis with the VC as the reference, the KuduSmart® device demonstrated systematic bias and not acceptable agreement for minute-averaged LSR (1.17 [1.09, 1.27], CV = 44.5%), systematic bias and acceptable agreement for steady-state LSR (1.16 [1.09,1.23], CV = 19.5%), no bias and acceptable agreement for thermosensitivity (1.07 [0.99, 1.16], CV = 23.2%), and no bias and good agreement for sweating onset (1.00 [1.00, 1.00], CV = 11.1%). In total, ≥73% of all minute-averaged LSR observations with the KuduSmart® device (n = 2743) were within an absolute error of <0.2 mg/cm2/min to the VC, the reference minimum detectable change in measurement error of a VC on the forearm. Collectively, the KuduSmart® device may be a satisfactory solution for assessing the sweating response to heat stress where a VC is impractical.
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Affiliation(s)
- Nicholas Ravanelli
- School of Kinesiology, Lakehead University, Thunder Bay, ON, Canada
- Centre for Research in Occupational Safety and Health, Laurentian University, Sudbury, ON, Canada
| | - Douglas Newhouse
- School of Kinesiology, Lakehead University, Thunder Bay, ON, Canada
- Centre for Research in Occupational Safety and Health, Laurentian University, Sudbury, ON, Canada
| | - Fergus Foster
- School of Kinesiology, Lakehead University, Thunder Bay, ON, Canada
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34
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Kazemi N, Abdolrazzaghi M, Light PE, Musilek P. In-human testing of a non-invasive continuous low-energy microwave glucose sensor with advanced machine learning capabilities. Biosens Bioelectron 2023; 241:115668. [PMID: 37774465 DOI: 10.1016/j.bios.2023.115668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/08/2023] [Accepted: 09/03/2023] [Indexed: 10/01/2023]
Abstract
Continuous glucose monitoring schemes that avoid finger pricking are of utmost importance to enhance the comfort and lifestyle of diabetic patients. To this aim, we propose a microwave planar sensing platform as a potent sensing technology that extends its applications to biomedical analytes. In this paper, a compact planar resonator-based sensor is introduced for noncontact sensing of glucose. Furthermore, in vivo and in-vitro tests using a microfluidic channel system and in clinical trial settings demonstrate its reliable operation. The proposed sensor offers real-time response and a high linear correlation (R2 ∼ 0.913) between the measured sensor response and the blood glucose level (GL). The sensor is also enhanced with machine learning to predict the variation of body glucose levels for non-diabetic and diabetic patients. This addition is instrumental in triggering preemptive measures in cases of unusual glucose level trends. In addition, it allows for the detection of common artifacts of the sensor as anomalies so that they can be removed from the measured data. The proposed system is designed to noninvasively monitor interstitial glucose levels in humans, introducing the opportunity to create a customized wearable apparatus with the ability to learn.
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Affiliation(s)
- Nazli Kazemi
- Electrical and Computer Engineering, University of Alberta, 116 St., Edmonton, T6G 2R3, AB, Canada.
| | | | - Peter E Light
- Faculty of Medicine and Dentistry Department of Pharmacology, Alberta Diabetes Institute, University of Alberta, 112 St., Edmonton, T6G 2R3, AB, Canada.
| | - Petr Musilek
- Electrical and Computer Engineering, University of Alberta, 116 St., Edmonton, T6G 2R3, AB, Canada; Applied Cybernetics, University of Hradec Králové, Rokitanského 62/26, Hradec Králové, 500 03, Czechia, Czech Republic.
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Sivakumar A, Sharma R, Thota C, Ding D, Fan X. WASP: Wearable Analytical Skin Probe for Dynamic Monitoring of Transepidermal Water Loss. ACS Sens 2023; 8:4407-4416. [PMID: 37953512 PMCID: PMC10683758 DOI: 10.1021/acssensors.3c01936] [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: 09/14/2023] [Revised: 10/22/2023] [Accepted: 10/31/2023] [Indexed: 11/14/2023]
Abstract
Early diagnosis of skin barrier dysfunction helps provide timely preventive care against diseases such as atopic dermatitis, psoriasis, food allergies, and other atopic skin disorders. Skin barrier function is commonly evaluated by measuring the transepidermal water loss (TEWL) through stratum corneum due to its noninvasive characteristics. However, existing commercial TEWL devices are significantly affected by many factors, such as ambient temperature, humidity, air flow, water accumulation, initial water contents on the skin surface, bulky sizes, high costs, and requirements for well-controlled environments. Here, we developed a wearable closed-chamber hygrometer-based TEWL device (Wearable Analytical Skin Probe, WASP) and the related algorithm for accurate and continuous monitoring of skin water vapor flux. The WASP uses short dry air purges to dry the skin surface and chamber before each water vapor flux measurement. Its design ensures a highly controlled local environment, such as consistent initial dry conditions for the skin surface and the chamber. We further applied WASP to measure the water vapor flux from six different locations of a small group of human participants. It is found that the WASP can not only measure and distinguish between insensible sweating (i.e., TEWL) and sensible sweating (i.e., thermal sweating) but also track skin dehydration-rehydration cycles. Comparisons with a commercial TEWL device, AquaFlux, show that the results obtained by both devices agree well. The WASP will be broadly applicable to clinical, cosmetic, and biomedical research.
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Affiliation(s)
- Anjali
Devi Sivakumar
- Department
of Biomedical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Department
of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States
- Center
for Wireless Integrated MicroSensing and Systems (WIMS2), University of Michigan, Ann Arbor, Michigan 48109, United States
- Max
Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Ruchi Sharma
- Department
of Biomedical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Center
for Wireless Integrated MicroSensing and Systems (WIMS2), University of Michigan, Ann Arbor, Michigan 48109, United States
- Max
Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Chandrakalavathi Thota
- Department
of Biomedical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Center
for Wireless Integrated MicroSensing and Systems (WIMS2), University of Michigan, Ann Arbor, Michigan 48109, United States
- Max
Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Ding Ding
- Department
of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Xudong Fan
- Department
of Biomedical Engineering, University of
Michigan, Ann Arbor, Michigan 48109, United States
- Center
for Wireless Integrated MicroSensing and Systems (WIMS2), University of Michigan, Ann Arbor, Michigan 48109, United States
- Max
Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, Ann Arbor, Michigan 48109, United States
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Ma X, Wang P, Huang L, Ding R, Zhou K, Shi Y, Chen F, Zhuang Q, Huang Q, Lin Y, Zheng Z. A monolithically integrated in-textile wristband for wireless epidermal biosensing. SCIENCE ADVANCES 2023; 9:eadj2763. [PMID: 37948514 PMCID: PMC10637736 DOI: 10.1126/sciadv.adj2763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023]
Abstract
Textile bioelectronics that allow comfortable epidermal contact hold great promise in noninvasive biosensing. However, their applications are limited mainly because of the large intrinsic electrical resistance and low compatibility for electronics integration. We report an integrated wristband that consists of multifunctional modules in a single piece of textile to realize wireless epidermal biosensing. The in-textile metallic patterning and reliable interconnect encapsulation contribute to the excellent electrical conductivity, mechanical robustness, and waterproofness that are competitive with conventional flexible devices. Moreover, the well-maintained porous textile architectures deliver air permeability of 79 mm s-1 and moisture permeability of 270 g m-2 day-1, which are more than one order of magnitude higher than medical tapes, thus ensuring superior wearing comfort. The integrated in-textile wristband performed continuous sweat potassium monitoring in the range of 0.3 to 40 mM with long-term stability, demonstrating its great potential for wearable fitness monitoring and point-of-care testing.
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Affiliation(s)
- Xiaohao Ma
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
| | - Pengwei Wang
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
| | - Liting Huang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Ruochen Ding
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Kemeng Zhou
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Yuqing Shi
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
| | - Fan Chen
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
| | - Qiuna Zhuang
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
| | - Qiyao Huang
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China
| | - Zijian Zheng
- Laboratory for Advanced Interfacial Materials and Devices, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
- Research Institute for Intelligent Wearable Systems, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
- Department of Applied Biology and Chemical Technology, Faculty of Science, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
- Research Institute for Smart Energy, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR 99077, China
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Ge Z, Guo W, Tao Y, Sun H, Meng X, Cao L, Zhang S, Liu W, Akhtar ML, Li Y, Ren Y. Wireless and Closed-Loop Smart Dressing for Exudate Management and On-Demand Treatment of Chronic Wounds. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2304005. [PMID: 37547949 DOI: 10.1002/adma.202304005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/09/2023] [Indexed: 08/08/2023]
Abstract
Chronic wounds have become a significant threat to people's physical and mental health and have increased the burden of social medical care. Intelligent wound dressing (IWD) with wound condition monitoring and closed-loop on-demand drug therapy can shorten the healing process and alleviate patient suffering. However, single-function wound dressings cannot meet the current needs of chronic wound treatment. Here, a wearable IWD consisting of wound exudate management, sensor monitoring, closed-loop therapy, and flexible circuit modules is reported, which can achieve effective synergy between wound exudate management and on-demand wound therapy. The dressing is attached to the wound site, and the wound exudate is spontaneously pumped into the microfluidic channel for storage. Meanwhile, the IWD can detect the state of the wound through the temperature and humidity sensor, and use this as feedback to control the liquid metal (LM) heater through a smartphone, thereby realizing the on-demand drug release from the hydrogel. In a mouse model of infected wounds, IWD accelerates wound healing by reducing inflammatory responses, promoting angiogenesis and collagen deposition.
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Affiliation(s)
- Zhenyou Ge
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China
- School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, 150001, P. R. China
| | - Wenshang Guo
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China
- School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, 150001, P. R. China
| | - Ye Tao
- School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, 150001, P. R. China
| | - Haoxiu Sun
- School of Life Sciences, Harbin Institute of Technology, Harbin, 150001, P. R. China
| | - Xiangyu Meng
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China
- School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, 150001, P. R. China
| | - Liangyu Cao
- School of Life Sciences, Harbin Institute of Technology, Harbin, 150001, P. R. China
| | - Shanguo Zhang
- School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, 150001, P. R. China
| | - Weiyu Liu
- School of Electronics and Control Engineering, Chang'an University, Xi'an, 710064, P. R. China
| | | | - Yu Li
- School of Life Sciences, Harbin Institute of Technology, Harbin, 150001, P. R. China
| | - Yukun Ren
- State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, 150001, P. R. China
- School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, 150001, P. R. China
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Clark KM, Ray TR. Recent Advances in Skin-Interfaced Wearable Sweat Sensors: Opportunities for Equitable Personalized Medicine and Global Health Diagnostics. ACS Sens 2023; 8:3606-3622. [PMID: 37747817 DOI: 10.1021/acssensors.3c01512] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Recent advances in skin-interfaced wearable sweat sensors enable the noninvasive, real-time monitoring of biochemical signals associated with health and wellness. These wearable platforms leverage microfluidic channels, biochemical sensors, and flexible electronics to enable the continuous analysis of sweat-based biomarkers such as electrolytes, metabolites, and hormones. As this field continues to mature, the potential of low-cost, continuous personalized health monitoring enabled by such wearable sensors holds significant promise for addressing some of the formidable obstacles to delivering comprehensive medical care in under-resourced settings. This Perspective highlights the transformative potential of wearable sweat sensing for providing equitable access to cutting-edge healthcare diagnostics, especially in remote or geographically isolated areas. It examines the current understanding of sweat composition as well as recent innovations in microfluidic device architectures and sensing strategies by showcasing emerging applications and opportunities for innovation. It concludes with a discussion on expanding the utility of wearable sweat sensors for clinically relevant health applications and opportunities for enabling equitable access to innovation to address existing health disparities.
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Affiliation(s)
- Kaylee M Clark
- Department of Mechanical Engineering, University of Hawai'i at Ma̅noa, Honolulu, Hawaii 96822, United States
| | - Tyler R Ray
- Department of Mechanical Engineering, University of Hawai'i at Ma̅noa, Honolulu, Hawaii 96822, United States
- Department of Cell and Molecular Biology, John. A. Burns School of Medicine, University of Hawai'i at Ma̅noa, Honolulu, Hawaii 96813, United States
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Corbett J, Young JS, Tipton MJ, Costello JT, Williams TB, Walker EF, Lee BJ, Stevens CE. Molecular biomarkers for assessing the heat-adapted phenotype: a narrative scoping review. J Physiol Sci 2023; 73:26. [PMID: 37848829 DOI: 10.1186/s12576-023-00882-4] [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: 06/13/2023] [Accepted: 10/03/2023] [Indexed: 10/19/2023]
Abstract
Heat acclimation/acclimatisation (HA) mitigates heat-related decrements in physical capacity and heat-illness risk and is a widely advocated countermeasure for individuals operating in hot environments. The efficacy of HA is typically quantified by assessing the thermo-physiological responses to a standard heat acclimation state test (i.e. physiological biomarkers), but this can be logistically challenging, time consuming, and expensive. A valid molecular biomarker of HA would enable evaluation of the heat-adapted state through the sampling and assessment of a biological medium. This narrative review examines candidate molecular biomarkers of HA, highlighting the poor sensitivity and specificity of these candidates and identifying the current lack of a single 'standout' biomarker. It concludes by considering the potential of multivariable approaches that provide information about a range of physiological systems, identifying a number of challenges that must be overcome to develop a valid molecular biomarker of the heat-adapted state, and highlighting future research opportunities.
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Affiliation(s)
- J Corbett
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK.
| | - J S Young
- National Horizons Centre, Teesside University, Darlington, UK
| | - M J Tipton
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK
| | - J T Costello
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK
| | - T B Williams
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK
| | - E F Walker
- Defence Science and Technology Laboratory, Porton Down, Salisbury, UK
| | - B J Lee
- Occupational and Environmental Physiology Group, Centre for Sport, Exercise and Life Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - C E Stevens
- Extreme Environments Laboratory, School of Sport Health and Exercise Sciences, University of Portsmouth, Portsmouth, UK
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40
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Liu M, Wang S, Xiong Z, Zheng Z, Ma N, Li L, Gao Q, Ge C, Wang Y, Zhang T. Perspiration permeable, textile embeddable microfluidic sweat sensor. Biosens Bioelectron 2023; 237:115504. [PMID: 37406481 DOI: 10.1016/j.bios.2023.115504] [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: 05/31/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/07/2023]
Abstract
Epidermal microfluidic devices are continuously being developed for efficient sweat collection and sweat rate detection. However, most microfluidic designs ignore the use of airtight/adhesive substrate will block the natural perspiration of the covered sweat pores, which will seriously affect normal sweat production and long-term wearable comfort. Herein, we present a Janus textile-embedded microfluidic sensor platform with high breathability and directional sweat permeability for synchronous sweat rate and total electrolyte concentration detection. The device consists of a hollowed-out serpentine microchannel with interdigital electrodes and Janus textile. The dual-mode signal of the sweat rate (0.2-4.0 μL min-1) and total ionic charge concentration (10-200 mmol L-1) can be obtained synchronously by decoupling conductance step signals generated when sweat flows through alternating interdigitated spokes at equal intervals in the microchannel. Meanwhile, the hollowed-out microchannel structure significantly reduces the coverage area of the sensor on the skin, and the Janus textile-embedded device ensures a comfortable skin/device interface (fewer sweat pores are blocked) and improves breathability (503.15 g m-2 d-1) and sweat permeability (directional liquid transportation) during long-term monitoring. This device is washable and reusable, which shows the potential to integrate with clothing and smart textile, and thus facilitate the practicality of wearable sweat sensors for personalized healthcare.
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Affiliation(s)
- Mengyuan Liu
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Shuqi Wang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.
| | - Zuoping Xiong
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Zhuo Zheng
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Nan Ma
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; School of Environmental and Biological Engineering, Nanjing University of Science and Technology, 200 Xiaolingwei Road, Nanjing, Jiangsu, 210094, PR China
| | - Lianhui Li
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Qiang Gao
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Changlei Ge
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Yongfeng Wang
- i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China
| | - Ting Zhang
- School of Nano-Tech and Nano-Bionics, University of Science and Technology of China, 96 Jinzhai Road, Hefei, Anhui, 230026, PR China; i-Lab, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China; Nano-X Vacuum Interconnected Workstation, Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.
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Zhang Y, Hou C, Zhao P, Zeng X, Liu Y, Chen J, Gao Y, Wang C, Hou J, Huo D. Fe Single-Atom Nanozyme-Modified Wearable Hydrogel Patch for Precise Analysis of Uric Acid at Rest. ACS APPLIED MATERIALS & INTERFACES 2023; 15:43541-43549. [PMID: 37694575 DOI: 10.1021/acsami.3c08978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Resting sweat analysis could provide unique insight into the metabolic levels of physiological and pathological states. However, the low secretion rate of resting sweat and the low concentration of metabolic molecules pose challenges for the development of noninvasive wearable sensors. Here, we demonstrated a wearable patch for the precise analysis of uric acid at rest. Fe single-atom nanozymes (FeSAs) with excellent electrocatalytic activity were used to develop a sensor for selective catalysis of uric acid (UA, 1-425 μM), and the catalytic mechanism of UA was later explored by density functional theory. In addition, polyaniline was integrated into the wearable patch for pH detection; thus, accurate analysis of sweat UA molecules can be achieved by pH calibration. Then, we explored the possibility of collecting resting sweat with different ratios of agarose hydrogels to reduce the sweat accumulation time. Finally, the possibility of a wearable patch for accurate UA detection in volunteer sweat samples was experimentally verified. We believe that our work provides novel insights and ideas for the analysis of resting sweat using wearable devices, further driving advancements in the field of personalized medicine.
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Affiliation(s)
- Yong Zhang
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Changjun Hou
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Peng Zhao
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Xin Zeng
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Yiyi Liu
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Jian Chen
- Chongqing University Three Gorges Hospital, Chongqing 404000, PR China
| | - Yifan Gao
- School of Electrical Engineering, Chongqing University of Science and Technology, Chongqing401331, PR China
| | - Cuncun Wang
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Jingzhou Hou
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China
- Postdoctoral Research Station, Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Danqun Huo
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing 400044, PR China
- Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, PR China
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Mukasa D, Wang M, Min J, Yang Y, Solomon SA, Han H, Ye C, Gao W. A Computationally Assisted Approach for Designing Wearable Biosensors toward Non-Invasive Personalized Molecular Analysis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2212161. [PMID: 37159949 PMCID: PMC10529901 DOI: 10.1002/adma.202212161] [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: 12/27/2022] [Revised: 04/26/2023] [Indexed: 05/11/2023]
Abstract
Wearable sweat sensors have the potential to revolutionize precision medicine as they can non-invasively collect molecular information closely associated with an individual's health status. However, the majority of clinically relevant biomarkers cannot be continuously detected in situ using existing wearable approaches. Molecularly imprinted polymers (MIPs) are a promising candidate to address this challenge but haven't yet gained widespread use due to their complex design and optimization process yielding variable selectivity. Here, QuantumDock is introduced, an automated computational framework for universal MIP development toward wearable applications. QuantumDock utilizes density functional theory to probe molecular interactions between monomers and the target/interferent molecules to optimize selectivity, a fundamentally limiting factor for MIP development toward wearable sensing. A molecular docking approach is employed to explore a wide range of known and unknown monomers, and to identify the optimal monomer/cross-linker choice for subsequent MIP fabrication. Using an essential amino acid phenylalanine as the exemplar, experimental validation of QuantumDock is performed successfully using solution-synthesized MIP nanoparticles coupled with ultraviolet-visible spectroscopy. Moreover, a QuantumDock-optimized graphene-based wearable device is designed that can perform autonomous sweat induction, sampling, and sensing. For the first time, wearable non-invasive phenylalanine monitoring is demonstrated in human subjects toward personalized healthcare applications.
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Affiliation(s)
- Daniel Mukasa
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology; Pasadena, California, 91125, USA
- These authors contributed equally to this work
| | - Minqiang Wang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology; Pasadena, California, 91125, USA
- These authors contributed equally to this work
| | - Jihong Min
- 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
| | - Hong Han
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology; Pasadena, California, 91125, USA
| | - Cui Ye
- 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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Wang P, Ding H, Li X, Liu Y, Sun Y, Li Y, Xu G, Chen S, Wang X. Stretchable and Self-Adhesive Humidity-Sensing Patch for Multiplexed Non-Contact Sensing. ACS APPLIED MATERIALS & INTERFACES 2023; 15:38562-38571. [PMID: 37530029 DOI: 10.1021/acsami.3c06767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
The slippage of moisture-sensitive materials from substrates during bending or stretching is a common issue that causes baseline drift and even failure of the flexible humidity sensors, which are essential components of wearable electronic devices. In this study, we report a stretchable, self-adhesive, and transparent humidity-sensing electronic patch comprising liquid metal particle electrodes with a stretchable serpentine structure and a humidity-sensing layer made of Ti3C2Tx MXene/carboxymethyl cellulose. This patch is constructed on a soft-hard integrated heterostructure substrate and demonstrates stable humidity-sensitive response performance at 100% tensile strain, along with autonomous adhesion to human skin. Additionally, it exhibits maximum response (1145.4%) at 90% relative humidity (RH), fast response and recovery time (1.4/5.9 s), elevated sensitivity (64.63%/% RH), and preserved humidity sensing under deformation, as well as easy scalability for multiplexed detection. We further illustrate the patch's potential applications in healthcare and environmental monitoring through a non-contact security door control system and wind monitor system. Our proposed strain-isolation strategy can be extended to other rigid conductive materials and stretchable substrates, providing a feasible mechanism for producing stretchable electronic skin patches.
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Affiliation(s)
- Peihe Wang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Hongyan Ding
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Xiaofeng Li
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Yangchengyi Liu
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Yi Sun
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Yujing Li
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Guozhuang Xu
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Shangda Chen
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
| | - Xiufeng Wang
- School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
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44
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Wang C, He T, Zhou H, Zhang Z, Lee C. Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform. Bioelectron Med 2023; 9:17. [PMID: 37528436 PMCID: PMC10394931 DOI: 10.1186/s42234-023-00118-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 06/17/2023] [Indexed: 08/03/2023] Open
Abstract
The fourth industrial revolution has led to the development and application of health monitoring sensors that are characterized by digitalization and intelligence. These sensors have extensive applications in medical care, personal health management, elderly care, sports, and other fields, providing people with more convenient and real-time health services. However, these sensors face limitations such as noise and drift, difficulty in extracting useful information from large amounts of data, and lack of feedback or control signals. The development of artificial intelligence has provided powerful tools and algorithms for data processing and analysis, enabling intelligent health monitoring, and achieving high-precision predictions and decisions. By integrating the Internet of Things, artificial intelligence, and health monitoring sensors, it becomes possible to realize a closed-loop system with the functions of real-time monitoring, data collection, online analysis, diagnosis, and treatment recommendations. This review focuses on the development of healthcare artificial sensors enhanced by intelligent technologies from the aspects of materials, device structure, system integration, and application scenarios. Specifically, this review first introduces the great advances in wearable sensors for monitoring respiration rate, heart rate, pulse, sweat, and tears; implantable sensors for cardiovascular care, nerve signal acquisition, and neurotransmitter monitoring; soft wearable electronics for precise therapy. Then, the recent advances in volatile organic compound detection are highlighted. Next, the current developments of human-machine interfaces, AI-enhanced multimode sensors, and AI-enhanced self-sustainable systems are reviewed. Last, a perspective on future directions for further research development is also provided. In summary, the fusion of artificial intelligence and artificial sensors will provide more intelligent, convenient, and secure services for next-generation healthcare and biomedical applications.
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Affiliation(s)
- Chan Wang
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore, 117608, Singapore
| | - Tianyiyi He
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore, 117608, Singapore
| | - Hong Zhou
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore, 117608, Singapore
| | - Zixuan Zhang
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore, 117608, Singapore
| | - Chengkuo Lee
- Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
- Center for Intelligent Sensors and MEMS (CISM), National University of Singapore, 5 Engineering Drive 1, Singapore, 117608, Singapore.
- NUS Suzhou Research Institute (NUSRI), Suzhou Industrial Park, Suzhou, 215123, China.
- NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, 117456, Singapore.
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45
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Wang S, Rovira M, Demuru S, Lafaye C, Kim J, Kunnel BP, Besson C, Fernandez-Sanchez C, Serra-Graells F, Margarit-Taule JM, Aymerich J, Cuenca J, Kiselev I, Gremeaux V, Saubade M, Jimenez-Jorquera C, Briand D, Liu SC. Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 2023; 17:808-817. [PMID: 37318976 DOI: 10.1109/tbcas.2023.3286528] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Sweat secreted by the human eccrine sweat glands can provide valuable biomarker information during exercise. Real-time non-invasive biomarker recordings are therefore useful for evaluating the physiological conditions of an athlete such as their hydration status during endurance exercise. This work describes a wearable sweat biomonitoring patch incorporating printed electrochemical sensors into a plastic microfluidic sweat collector and data analysis that shows the real-time recorded sweat biomarkers can be used to predict a physiological biomarker. The system was placed on subjects carrying out an hour-long exercise session and results were compared to a wearable system using potentiometric robust silicon-based sensors and to commercially available HORIBA-LAQUAtwin devices. Both prototypes were applied to the real-time monitoring of sweat during cycling sessions and showed stable readings for around an hour. Analysis of the sweat biomarkers collected from the printed patch prototype shows that their real-time measurements correlate well (correlation coefficient ≥ 0.65) with other physiological biomarkers such as heart rate and regional sweat rate collected in the same session. We show for the first time, that the real-time sweat sodium and potassium concentration biomarker measurements from the printed sensors can be used to predict the core body temperature with root mean square error (RMSE) of 0.02 °C which is 71% lower compared to the use of only the physiological biomarkers. These results show that these wearable patch technologies are promising for real-time portable sweat monitoring analytical platforms, especially for athletes performing endurance exercise.
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Shitanda I, Muramatsu N, Kimura R, Takahashi N, Watanabe K, Matsui H, Loew N, Motosuke M, Mukaimoto T, Kobayashi M, Mitsuhara T, Sugita Y, Matsuo K, Yanagita S, Suzuki T, Watanabe H, Itagaki M. Wearable Ion Sensors for the Detection of Sweat Ions Fabricated by Heat-Transfer Printing. ACS Sens 2023; 8:2889-2895. [PMID: 37318827 PMCID: PMC10391709 DOI: 10.1021/acssensors.3c01027] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 06/02/2023] [Indexed: 06/17/2023]
Abstract
Wearable ion sensors for the real-time monitoring of sweat biomarkers have recently attracted increasing research attention. Here, we fabricated a novel chloride ion sensor for real-time sweat monitoring. The printed sensor was heat-transferred onto nonwoven cloth, allowing for easy attachment to various types of clothing, including simple garments. Additionally, the cloth prevents contact between the skin and the sensor and acts as a flow path. The change in the electromotive force of the chloride ion sensor was -59.5 mTV/log CCl-. In addition, the sensor showed a good linear relationship with the concentration range of chloride ions in human sweat. Moreover, the sensor displayed a Nernst response, confirming no changes in the film composition due to heat transfer. Finally, the fabricated ion sensors were applied to the skin of a human volunteer subjected to an exercise test. In addition, a wireless transmitter was combined with the sensor to wirelessly monitor ions in sweat. The sensors showed significant responses to both sweat perspiration and exercise intensity. Thus, our research demonstrates the potential of using wearable ion sensors for the real-time monitoring of sweat biomarkers, which could significantly impact the development of personalized healthcare.
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Affiliation(s)
- Isao Shitanda
- Department
of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
- Research
Institute for Science and Technology, Tokyo
University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Naoki Muramatsu
- Department
of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Rio Kimura
- Department
of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Nanami Takahashi
- Department
of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Kazuki Watanabe
- Department
of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Hiroyuki Matsui
- Research
Center for Organic Electronics (ROEL), Yamagata
University, 4-3-16 Jonan, Yonezawa 992-8510, Yamagata, Japan
| | - Noya Loew
- Department
of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Masahiro Motosuke
- Research
Institute for Science and Technology, Tokyo
University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
- Department
of Mechanical Engineering, Faculty of Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan
| | - Takahiro Mukaimoto
- Research
Institute for Science and Technology, Tokyo
University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
- Institute
of Arts and Sciences, Tokyo University of
Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Momoko Kobayashi
- Department
of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Taketo Mitsuhara
- Department
of Globe Fire Science and Technology, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Yamato Sugita
- Department
of Globe Fire Science and Technology, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Kensuke Matsuo
- Department
of Globe Fire Science and Technology, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Shinya Yanagita
- Research
Institute for Science and Technology, Tokyo
University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
- Institute
of Arts and Sciences, Tokyo University of
Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Tatsunori Suzuki
- Department
of Pharmacy, Faculty of Pharmaceutical Sciences, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Hikari Watanabe
- Department
of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
| | - Masayuki Itagaki
- Department
of Pure and Applied Chemistry, Faculty of Science and Technology, Tokyo University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
- Research
Institute for Science and Technology, Tokyo
University of Science, 2641 Yamazaki, Noda 278-8510, Chiba, Japan
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47
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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: 4] [Impact Index Per Article: 4.0] [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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48
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Song Z, Zhou S, Qin Y, Xia X, Sun Y, Han G, Shu T, Hu L, Zhang Q. Flexible and Wearable Biosensors for Monitoring Health Conditions. BIOSENSORS 2023; 13:630. [PMID: 37366995 DOI: 10.3390/bios13060630] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 05/22/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023]
Abstract
Flexible and wearable biosensors have received tremendous attention over the past decade owing to their great potential applications in the field of health and medicine. Wearable biosensors serve as an ideal platform for real-time and continuous health monitoring, which exhibit unique properties such as self-powered, lightweight, low cost, high flexibility, detection convenience, and great conformability. This review introduces the recent research progress in wearable biosensors. First of all, the biological fluids often detected by wearable biosensors are proposed. Then, the existing micro-nanofabrication technologies and basic characteristics of wearable biosensors are summarized. Then, their application manners and information processing are also highlighted in the paper. Massive cutting-edge research examples are introduced such as wearable physiological pressure sensors, wearable sweat sensors, and wearable self-powered biosensors. As a significant content, the detection mechanism of these sensors was detailed with examples to help readers understand this area. Finally, the current challenges and future perspectives are proposed to push this research area forward and expand practical applications in the future.
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Affiliation(s)
- Zhimin Song
- Department of Anesthesiology, The Second Hospital of Jilin University, Changchun 130041, China
| | - Shu Zhou
- Department of Anesthesiology, Jilin Cancer Hospital, Changchun 130021, China
| | - Yanxia Qin
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
| | - Xiangjiao Xia
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
| | - Yanping Sun
- School of Biomedical Engineering, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen Key Laboratory for Nano-Biosensing Technology, International Health Science Innovation Center, Research Center for Biosensor and Nanotheranostic, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Guanghong Han
- Department of Oral Geriatrics, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Tong Shu
- School of Biomedical Engineering, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen Key Laboratory for Nano-Biosensing Technology, International Health Science Innovation Center, Research Center for Biosensor and Nanotheranostic, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Liang Hu
- State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China
| | - Qiang Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
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49
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VURAL B, ULUDAĞ İ, İNCE B, ÖZYURT C, ÖZTÜRK F, SEZGİNTÜRK MK. Fluid-based wearable sensors: a turning point in personalized healthcare. Turk J Chem 2023; 47:944-967. [PMID: 38173754 PMCID: PMC10760819 DOI: 10.55730/1300-0527.3588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 10/31/2023] [Accepted: 05/22/2023] [Indexed: 01/05/2024] Open
Abstract
Nowadays, it has become very popular to develop wearable devices that can monitor biomarkers to analyze the health status of the human body more comprehensively and accurately. Wearable sensors, specially designed for home care services, show great promise with their ease of use, especially during pandemic periods. Scientists have conducted many innovative studies on new wearable sensors that can noninvasively and simultaneously monitor biochemical indicators in body fluids for disease prediction, diagnosis, and management. Using noninvasive electrochemical sensors, biomarkers can be detected in tears, saliva, perspiration, and skin interstitial fluid (ISF). In this review, biofluids used for noninvasive wearable sensor detection under four main headings, saliva, sweat, tears, and ISF-based wearable sensors, were examined in detail. This report analyzes nearly 50 recent articles from 2017 to 2023. Based on current research, this review also discusses the evolution of wearable sensors, potential implementation challenges, and future prospects.
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Affiliation(s)
- Berfin VURAL
- Department of Bioengineering, Faculty of Engineering, Çanakkale Onsekiz Mart University, Çanakkale,
Turkiye
| | - İnci ULUDAĞ
- Department of Bioengineering, Faculty of Engineering, Çanakkale Onsekiz Mart University, Çanakkale,
Turkiye
| | - Bahar İNCE
- Department of Bioengineering, Faculty of Engineering, Çanakkale Onsekiz Mart University, Çanakkale,
Turkiye
| | - Canan ÖZYURT
- Department of Chemistry and Chemical Processing Technologies, Lapseki Vocational School, Çanakkale Onsekiz Mart University, Çanakkale,
Turkiye
| | - Funda ÖZTÜRK
- Department of Chemistry, Faculty of Arts and Sciences, Tekirdağ Namık Kemal University, Tekirdağ,
Turkiye
| | - Mustafa Kemal SEZGİNTÜRK
- Department of Bioengineering, Faculty of Engineering, Çanakkale Onsekiz Mart University, Çanakkale,
Turkiye
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50
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Chen Y, Ma B, Zuo Y, Chen G, Hao Q, Zhao C, Liu H. Versatile sweat bioanalysis on demand with hydrogel-programmed wearables. Biosens Bioelectron 2023; 235:115412. [PMID: 37236013 DOI: 10.1016/j.bios.2023.115412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 05/07/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023]
Abstract
Wearable sweat bioanalysis is promising for non-invasive diagnostics of diseases. However, collection of representative sweat samples without disturbing daily life and wearable bioanalysis of targets that are clinically significant are still challenging. In this work, we report on a versatile method for the sweat bioanalysis. The method is based on a thermoresponsive hydrogel which can imperceptibly absorb slowly secreted sweat without stimulation such as heat or sport exercise. The wearable bioanalysis is accomplished by programmed electric heating of hydrogel modules to 42°C to release absorbed sweat or preloaded reagents into a microfluidic detection channel. Using our method, not only one-step detection of glucose but also multi-step immunoassay of cortisol is accomplished within 1 h, even at a very low sweat rate. Our test results are also compared with those obtained with conventional blood samples and stimulated sweat samples to evaluate the applicability of our method to non-invasive clinical practice.
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Affiliation(s)
- Yichen Chen
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Biao Ma
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
| | - Yinxiu Zuo
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Gangsheng Chen
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Qing Hao
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Chao Zhao
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Hong Liu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
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