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Ma J, Li H, Anwer S, Umer W, Antwi-Afari MF, Xiao EB. Evaluation of sweat-based biomarkers using wearable biosensors for monitoring stress and fatigue: a systematic review. INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS 2024:1-27. [PMID: 38581242 DOI: 10.1080/10803548.2024.2330242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2024]
Abstract
Objectives. This systematic review aims to report the evaluation of wearable biosensors for the real-time measurement of stress and fatigue using sweat biomarkers. Methods. A thorough search of the literature was carried out in databases such as PubMed, Web of Science and IEEE. A three-step approach for selecting research articles was developed and implemented. Results. Based on a systematic search, a total of 17 articles were included in this review. Lactate, cortisol, glucose and electrolytes were identified as sweat biomarkers. Sweat-based biomarkers are frequently monitored in real time using potentiometric and amperometric biosensors. Wearable biosensors such as an epidermal patch or a sweatband have been widely validated in scientific literature. Conclusions. Sweat is an important biofluid for monitoring general health, including stress and fatigue. It is becoming increasingly common to use biosensors that can measure a wide range of sweat biomarkers to detect fatigue during high-intensity work. Even though wearable biosensors have been validated for monitoring various sweat biomarkers, such biomarkers can only be used to assess stress and fatigue indirectly. In general, this study may serve as a driving force for academics and practitioners to broaden the use of wearable biosensors for the real-time assessment of stress and fatigue.
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Affiliation(s)
- Jie Ma
- Department of Building and Real Estate, Hong Kong Polytechnic University, People's Republic of China
| | - Heng Li
- Department of Building and Real Estate, Hong Kong Polytechnic University, People's Republic of China
| | - Shahnawaz Anwer
- Department of Building and Real Estate, Hong Kong Polytechnic University, People's Republic of China
| | - Waleed Umer
- Department of Mechanical and Construction Engineering, Northumbria University, UK
| | | | - Eric Bo Xiao
- Department of Building and Real Estate, Hong Kong Polytechnic University, People's Republic of China
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Park W, Seo H, Kim J, Hong YM, Song H, Joo BJ, Kim S, Kim E, Yae CG, Kim J, Jin J, Kim J, Lee YH, Kim J, Kim HK, Park JU. In-depth correlation analysis between tear glucose and blood glucose using a wireless smart contact lens. Nat Commun 2024; 15:2828. [PMID: 38565532 PMCID: PMC10987615 DOI: 10.1038/s41467-024-47123-9] [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: 06/29/2023] [Accepted: 03/19/2024] [Indexed: 04/04/2024] Open
Abstract
Tears have emerged as a promising alternative to blood for diagnosing diabetes. Despite increasing attempts to measure tear glucose using smart contact lenses, the controversy surrounding the correlation between tear glucose and blood glucose still limits the clinical usage of tears. Herein, we present an in-depth investigation of the correlation between tear glucose and blood glucose using a wireless and soft smart contact lens for continuous monitoring of tear glucose. This smart contact lens is capable of quantitatively monitoring the tear glucose levels in basal tears excluding the effect of reflex tears which might weaken the relationship with blood glucose. Furthermore, this smart contact lens can provide an unprecedented level of continuous tear glucose data acquisition at sub-minute intervals. These advantages allow the precise estimation of lag time, enabling the establishment of the concept called 'personalized lag time'. This demonstration considers individual differences and is successfully applied to both non-diabetic and diabetic humans, as well as in animal models, resulting in a high correlation.
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Affiliation(s)
- Wonjung Park
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea
| | - Hunkyu Seo
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea
| | - Jeongho Kim
- Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, 41944, Republic of Korea
| | - Yeon-Mi Hong
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea
| | - Hayoung Song
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea
| | - Byung Jun Joo
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea
| | - Sumin Kim
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea
| | - Enji Kim
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea
| | - Che-Gyem Yae
- Department of Ophthalmology, Kyungpook National University School of Medicine, Daegu, 41944, Republic of Korea
| | - Jeonghyun Kim
- Department of Electronics Convergence Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea
| | - Jonghwa Jin
- Department of Internal Medicine, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, 41944, Republic of Korea
| | - Joohee Kim
- Center for Bionics, Biomedical Research Division Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
| | - Yong-Ho Lee
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
- Institute of Endocrine Research, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
- Institute for Innovation in Digital Healthcare (IIDH), Severance Hospital, Seoul, 03722, Republic of Korea.
| | - Jayoung Kim
- Department of Medical Engineering, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
| | - Hong Kyun Kim
- Cell and Matrix Research Institute, School of Medicine, Kyungpook National University, Daegu, 41944, Republic of Korea.
- Department of Ophthalmology, Kyungpook National University School of Medicine, Daegu, 41944, Republic of Korea.
- Department of Ophthalmology, Kyungpook National University Hospital, Daegu, 41944, Republic of Korea.
| | - Jang-Ung Park
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
- Center for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea.
- Department of Neurosurgery, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
- Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, 03722, Republic of Korea.
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Huang X, Yao C, Huang S, Zheng S, Liu Z, Liu J, Wang J, Chen HJ, Xie X. Technological Advances of Wearable Device for Continuous Monitoring of In Vivo Glucose. ACS Sens 2024; 9:1065-1088. [PMID: 38427378 DOI: 10.1021/acssensors.3c01947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Managing diabetes is a chronic challenge today, requiring monitoring and timely insulin injections to maintain stable blood glucose levels. Traditional clinical testing relies on fingertip or venous blood collection, which has facilitated the emergence of continuous glucose monitoring (CGM) technology to address data limitations. Continuous glucose monitoring technology is recognized for tracking long-term blood glucose fluctuations, and its development, particularly in wearable devices, has given rise to compact and portable continuous glucose monitoring devices, which facilitates the measurement of blood glucose and adjustment of medication. This review introduces the development of wearable CGM-based technologies, including noninvasive methods using body fluids and invasive methods using implantable electrodes. The advantages and disadvantages of these approaches are discussed as well as the use of microneedle arrays in minimally invasive CGM. Microneedle arrays allow for painless transdermal puncture and are expected to facilitate the development of wearable CGM devices. Finally, we discuss the challenges and opportunities and look forward to the biomedical applications and future directions of wearable CGM-based technologies in biological research.
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Affiliation(s)
- Xinshuo Huang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Chuanjie Yao
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Shuang Huang
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Shantao Zheng
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Zhengjie Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Jing Liu
- The First Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Ji Wang
- The First Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Hui-Jiuan Chen
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China
| | - Xi Xie
- State Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510006, China
- The First Affiliated Hospital of Sun Yat-Sen University, Sun Yat-Sen University, Guangzhou, 510006, China
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4
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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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5
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Li T, Chen X, Fu Y, Liao C. Colorimetric sweat analysis using wearable hydrogel patch sensors for detection of chloride and glucose. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:5855-5866. [PMID: 37888873 DOI: 10.1039/d3ay01738a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2023]
Abstract
Sweat is a promising non-invasive biofluid that can provide valuable insights into the physiological state of the human body. However, a major obstacle to analyzing sweat in real-time is the fabrication of simple, fast-acting, accurate, and low-cost sensing constructs. To address this challenge, we introduced easily-prepared wearable hydrogel sensors that can be placed on the skin and used colorimetric techniques to assess sweat analytes without invasive procedures. Two typical sweat sensors, chloride ion (Cl-) responsive patches for cystic fibrosis (CF) analysis and glucose response patches for diabetic monitoring, were demonstrated for real sample analysis. The Cl- colorimetric sensor, with a detection limit down to 100 μM, shows a good linear response from 1.56 mM to 200 mM Cl-, and the glucose colorimetric sensor, with a detection limit down to 1 μM, exhibits an adequate linear response from 10 μM to 1 mM glucose. These colorimetric hydrogel sensors are also incorporated into a medical dressing to create wearable sensor devices for real-time sweat analysis. The acquired readings closely match the results obtained from the benchmark analyzing instrument, with a small deviation of less than 10%. Therefore, our simple colorimetric hydrogel sensing patches hold great potential to advance real-time sweat testing and contribute to the transitional development of wearable medical devices.
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Affiliation(s)
- Tuqiang Li
- Creative Biosciences (Guangzhou) Co., Ltd, Guangzhou, PR China.
| | - Xiaofeng Chen
- School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, PR China.
| | - Ying Fu
- Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow, UK.
| | - Caizhi Liao
- Creative Biosciences (Guangzhou) Co., Ltd, Guangzhou, PR China.
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6
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Abstract
For diabetics, taking regular blood glucose measurements is crucial. However, traditional blood glucose monitoring methods are invasive and unfriendly to diabetics. Recent studies have proposed a biofluid-based glucose sensing technique that creatively combines wearable devices with noninvasive glucose monitoring technology to enhance diabetes management. This is a revolutionary advance in the diagnosis and management of diabetes, reflects the thoughtful modernization of medicine, and promotes the development of digital medicine. This paper reviews the research progress of noninvasive continuous blood glucose monitoring (CGM), with a focus on the biological liquids that replace blood in monitoring systems, the technical principles of continuous noninvasive glucose detection, and the output and calibration of sensor signals. In addition, the existing limits of noninvasive CGM systems and prospects for the future are discussed. This work serves as a resource for further promoting the development of noninvasive CGM systems.
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Affiliation(s)
- Yilin Li
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China
| | - Yueyue Chen
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, PR China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, PR China
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7
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Leung HMC, Forlenza GP, Prioleau TO, Zhou X. Noninvasive Glucose Sensing In Vivo. SENSORS (BASEL, SWITZERLAND) 2023; 23:7057. [PMID: 37631595 PMCID: PMC10458980 DOI: 10.3390/s23167057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/02/2023] [Accepted: 08/07/2023] [Indexed: 08/27/2023]
Abstract
Blood glucose monitoring is an essential aspect of disease management for individuals with diabetes. Unfortunately, traditional methods require collecting a blood sample and thus are invasive and inconvenient. Recent developments in minimally invasive continuous glucose monitors have provided a more convenient alternative for people with diabetes to track their glucose levels 24/7. Despite this progress, many challenges remain to establish a noninvasive monitoring technique that works accurately and reliably in the wild. This review encompasses the current advancements in noninvasive glucose sensing technology in vivo, delves into the common challenges faced by these systems, and offers an insightful outlook on existing and future solutions.
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Affiliation(s)
- Ho Man Colman Leung
- Department of Computer Science, Columbia University, New York, NY 10027, USA;
| | - Gregory P. Forlenza
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | | | - Xia Zhou
- Department of Computer Science, Columbia University, New York, NY 10027, USA;
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8
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Flynn CD, Chang D, Mahmud A, Yousefi H, Das J, Riordan KT, Sargent EH, Kelley SO. Biomolecular sensors for advanced physiological monitoring. NATURE REVIEWS BIOENGINEERING 2023; 1:1-16. [PMID: 37359771 PMCID: PMC10173248 DOI: 10.1038/s44222-023-00067-z] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/06/2023] [Indexed: 06/28/2023]
Abstract
Body-based biomolecular sensing systems, including wearable, implantable and consumable sensors allow comprehensive health-related monitoring. Glucose sensors have long dominated wearable bioanalysis applications owing to their robust continuous detection of glucose, which has not yet been achieved for other biomarkers. However, access to diverse biological fluids and the development of reagentless sensing approaches may enable the design of body-based sensing systems for various analytes. Importantly, enhancing the selectivity and sensitivity of biomolecular sensors is essential for biomarker detection in complex physiological conditions. In this Review, we discuss approaches for the signal amplification of biomolecular sensors, including techniques to overcome Debye and mass transport limitations, and selectivity improvement, such as the integration of artificial affinity recognition elements. We highlight reagentless sensing approaches that can enable sequential real-time measurements, for example, the implementation of thin-film transistors in wearable devices. In addition to sensor construction, careful consideration of physical, psychological and security concerns related to body-based sensor integration is required to ensure that the transition from the laboratory to the human body is as seamless as possible.
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Affiliation(s)
- Connor D. Flynn
- Department of Chemistry, Faculty of Arts & Science, University of Toronto, Toronto, ON Canada
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
| | - Dingran Chang
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON Canada
| | - Alam Mahmud
- The Edward S. Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON Canada
| | - Hanie Yousefi
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA
| | - Jagotamoy Das
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
| | - Kimberly T. Riordan
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
| | - Edward H. Sargent
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
- The Edward S. Rogers Sr Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON Canada
- Department of Electrical and Computer Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA
| | - Shana O. Kelley
- Department of Chemistry, Faculty of Arts & Science, University of Toronto, Toronto, ON Canada
- Department of Chemistry, Weinberg College of Arts & Sciences, Northwestern University, Evanston, IL USA
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON Canada
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL USA
- Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Evanston, IL USA
- International Institute for Nanotechnology, Northwestern University, Evanston, IL USA
- Chan Zuckerberg Biohub Chicago, Chicago, IL USA
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9
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Saldanha DJ, Cai A, Dorval Courchesne NM. The Evolving Role of Proteins in Wearable Sweat Biosensors. ACS Biomater Sci Eng 2023; 9:2020-2047. [PMID: 34491052 DOI: 10.1021/acsbiomaterials.1c00699] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Sweat is an increasingly popular biological medium for fitness monitoring and clinical diagnostics. It contains an abundance of biological information and is available continuously and noninvasively. Sweat-sensing devices often employ proteins in various capacities to create skin-friendly matrices that accurately extract valuable and time-sensitive information from sweat. Proteins were first used in sensors as biorecognition elements in the form of enzymes and antibodies, which are now being tuned to operate at ranges relevant for sweat. In addition, a range of structural proteins, sometimes assembled in conjunction with polymers, can provide flexible and compatible matrices for skin sensors. Other proteins also naturally possess a range of functionalities─as adhesives, charge conductors, fluorescence emitters, and power generators─that can make them useful components in wearable devices. Here, we examine the four main components of wearable sweat sensors─the biorecognition element, the transducer, the scaffold, and the adhesive─and the roles that proteins have played so far, or promise to play in the future, in each component. On a case-by-case basis, we analyze the performance characteristics of existing protein-based devices, their applicable ranges of detection, their transduction mechanism and their mechanical properties. Thereby, we review and compare proteins that can readily be used in sweat sensors and others that will require further efforts to overcome design, stability or scalability challenges. Incorporating proteins in one or multiple components of sweat sensors could lead to the development and deployment of tunable, greener, and safer biosourced devices.
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Affiliation(s)
- Dalia Jane Saldanha
- Department of Chemical Engineering, McGill University, Montréal, Québec, Canada H3A 0C5
| | - Anqi Cai
- Department of Chemical Engineering, McGill University, Montréal, Québec, Canada H3A 0C5
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Yuan X, Li C, Yin X, Yang Y, Ji B, Niu Y, Ren L. Epidermal Wearable Biosensors for Monitoring Biomarkers of Chronic Disease in Sweat. BIOSENSORS 2023; 13:313. [PMID: 36979525 PMCID: PMC10045998 DOI: 10.3390/bios13030313] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/15/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Biological information detection technology is mainly used for the detection of physiological and biochemical parameters closely related to human tissues and organ lesions, such as biomarkers. This technology has important value in the clinical diagnosis and treatment of chronic diseases in their early stages. Wearable biosensors can be integrated with the Internet of Things and Big Data to realize the detection, transmission, storage, and comprehensive analysis of human physiological and biochemical information. This technology has extremely wide applications and considerable market prospects in frontier fields including personal health monitoring, chronic disease diagnosis and management, and home medical care. In this review, we systematically summarized the sweat biomarkers, introduced the sweat extraction and collection methods, and discussed the application and development of epidermal wearable biosensors for monitoring biomarkers in sweat in preclinical research in recent years. In addition, the current challenges and development prospects in this field were discussed.
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Affiliation(s)
- Xichen Yuan
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- MOE Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi’an 710072, China
| | - Chen Li
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
| | - Xu Yin
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
| | - Yang Yang
- Ministry of Education Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Chongqing University, Chongqing 400030, China
| | - Bowen Ji
- Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China
| | - Yinbo Niu
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
| | - Li Ren
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
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11
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Guan Y, Liu L, Yu S, Lv F, Guo M, Luo Q, Zhang S, Wang Z, Wu L, Lin Y, Liu G. A Noninvasive Sweat Glucose Biosensor Based on Glucose Oxidase/Multiwalled Carbon Nanotubes/Ferrocene-Polyaniline Film/Cu Electrodes. MICROMACHINES 2022; 13:mi13122142. [PMID: 36557441 PMCID: PMC9787487 DOI: 10.3390/mi13122142] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/11/2022] [Accepted: 12/01/2022] [Indexed: 06/01/2023]
Abstract
Diabetes remains a great threat to human beings' health and its world prevalence is projected to reach 9.9% by 2045. At present, the detection methods used are often invasive, cumbersome and time-consuming, thus increasing the burden on patients. In this paper, we propose a novel noninvasive and low-cost biosensor capable of detecting glucose in human sweat using enzyme-based electrodes for point-of-care uses. Specifically, an electrochemical method is applied for detection and the electrodes are covered with multilayered films including ferrocene-polyaniline (F-P), multi-walled carbon nanotubes (MWCNTs) and glucose oxidase (GOx) on Cu substrates (GOx/MWCNTs/F-P/Cu). The coated layers enhance the immobilization of GOx, increase the conductivity of the anode and improve the electrochemical properties of the electrode. Compared with the Cu electrode and the F-P/Cu electrode, a maximum peak current is obtained when the MWCNTs/F-P/Cu electrode is applied. We also study its current response by cyclic voltammetry (CV) at different concentrations (0-2.0 mM) of glucose solution. The best current response is obtained at 0.25 V using chronoamperometry. The effective working lifetime of an electrode is up to 8 days. Finally, to demonstrate the capability of the electrode, a portable, miniaturized and integrated detection device based on the GOx/MWCNTs/F-P/Cu electrode is developed. The results exhibit a short response time of 5 s and a correlation coefficient R2 of 0.9847 between the response current of sweat with blood glucose concentration. The LOD is of 0.081 mM and the reproducibility achieved in terms of RSD is 3.55%. The sweat glucose sensor is noninvasive and point-of-care, which shows great development potential in the health examination and monitoring field.
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Affiliation(s)
- Yanfang Guan
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
- Provincial Key Laboratory of Cereal Resource Transformation and Utilization, Henan University of Technology, Zhengzhou 450001, China
| | - Lei Liu
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Shaobo Yu
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Feng Lv
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Mingshuo Guo
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Qing Luo
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Shukai Zhang
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Zongcai Wang
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Lan Wu
- School of Electromechanical Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Yang Lin
- Department of Mechanical, Industrial & Systems Engineering, University of Rhode Island, Kingston, RI 02881, USA
| | - Guangyu Liu
- Provincial Key Laboratory of Cereal Resource Transformation and Utilization, Henan University of Technology, Zhengzhou 450001, China
- School of Chemistry and Chemical Engineering, Henan University of Technology, Zhengzhou 450001, China
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12
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Development of an insilico model of eccrine sweat using molecular modelling techniques. Sci Rep 2022; 12:20263. [PMID: 36424428 PMCID: PMC9691721 DOI: 10.1038/s41598-022-24440-x] [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: 05/24/2022] [Accepted: 11/15/2022] [Indexed: 11/27/2022] Open
Abstract
Eccrine sweat is an ideal surrogate diagnostic biofluid for physiological and metabolic biomarkers for wearable biosensor design. Its periodic and non-invasive availability for candidate analytes such as glucose and cortisol along with limited correlation with blood plasma is of significant research interest. An insilico model of eccrine sweat can assist in the development of such wearable biosensors. In this regard, molecular modelling can be employed to observe the most fundamental interactions. Here, we determine a suitable molecular model for building eccrine sweat. The basic components of sweat are water and sodium chloride, in which glucose and other analytes are present in trace quantities. Given the wide range of water models available in the molecular dynamics space, in this study, we first validate the water models. We use three compounds to represent the base to build bulk sweat fluid and validate the force fields. We compare the self-diffusivity of water, glucose, sodium, and chloride ions as well as bulk viscosity values and present the results which are > 90% accurate as compared with the available literature. This validated insilico eccrine sweat model can serve as an aid to expedite the development de novo biosensors by addition of other analytes of interest e.g. cortisol, uric acid etc., simulate various temperatures and salt concentrations, expand search space for screening candidate target receptors by their binding affinity and assess the interference between competing species via simulations.
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13
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Chen Q, Liu Y, Gu K, Yao J, Shao Z, Chen X. Silk-Based Electrochemical Sensor for the Detection of Glucose in Sweat. Biomacromolecules 2022; 23:3928-3935. [PMID: 35973042 DOI: 10.1021/acs.biomac.2c00753] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The development of reliable glucose sensors for noninvasive monitoring is highly desirable and essential for diabetes detection. As a testing sample, sweat is voluminous and is easy to collect compared to blood. However, the application of sweat glucose sensors is generally limited because of their low stability and sensitivity compared to commercial glucometers. In this manuscript, a silk nanofibril (SNF)/reduced graphene oxide (RGO)/glucose oxidase (GOx) composite was developed as the working electrode of the sweat glucose sensor. The SNF/RGO/GOx composite was prepared via a facile two-step process, which involved the self-assembly of SNF from silk fibroin while reducing graphene oxide to RGO and immobilizing GOx on SNF. The SNF/RGO/GOx glucose sensor exhibited a low limit of detection (300 nM) and high sensitivity (18.0 μA/mM) in the sweat glucose range, covering both healthy people and diabetic patients (0-100 μM). Moreover, the SNF/RGO/GOx glucose sensors showed a long stability for at least 4 weeks. Finally, the SNF/RGO/GOx glucose sensor was applied to test the actual sweat samples from two volunteers and two sweating methods (by dry sauna and exercise). The results indicate the glucose data tested by the SNF/RGO/GOx glucose sensor were reliable, which correlated well to the data obtained from the commercial glucometer. Therefore, the SNF/RGO/GOx glucose sensor developed in this study may have a great potential for glucose control in personalized healthcare monitoring and chronic disease management.
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Affiliation(s)
- Qianying Chen
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Shanghai Stomatological Hospital & School of Stomatology, Laboratory of Advanced Materials, Fudan University, Shanghai 200433, People's Republic of China
| | - Yi Liu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Shanghai Stomatological Hospital & School of Stomatology, Laboratory of Advanced Materials, Fudan University, Shanghai 200433, People's Republic of China
| | - Kai Gu
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Shanghai Stomatological Hospital & School of Stomatology, Laboratory of Advanced Materials, Fudan University, Shanghai 200433, People's Republic of China
| | - Jinrong Yao
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Shanghai Stomatological Hospital & School of Stomatology, Laboratory of Advanced Materials, Fudan University, Shanghai 200433, People's Republic of China
| | - Zhengzhong Shao
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Shanghai Stomatological Hospital & School of Stomatology, Laboratory of Advanced Materials, Fudan University, Shanghai 200433, People's Republic of China
| | - Xin Chen
- State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Shanghai Stomatological Hospital & School of Stomatology, Laboratory of Advanced Materials, Fudan University, Shanghai 200433, People's Republic of China
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14
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Wearable hollow microneedle sensing patches for the transdermal electrochemical monitoring of glucose. Talanta 2022; 249:123695. [PMID: 35728453 DOI: 10.1016/j.talanta.2022.123695] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 06/07/2022] [Accepted: 06/13/2022] [Indexed: 01/26/2023]
Abstract
According to the World Health Organization, about 422 million people worldwide have diabetes, with 1.5 million deaths directly attributed each year. Therefore, there is still a need to effectively monitor glucose in diabetic patients for proper management. Recently, wearable patches based on microneedle (MN) sensors provide minimally invasive analysis of glucose through the interstitial fluid (ISF) while exhibiting excellent correlation with blood glucose. Despite many advances in wearable electrochemical sensors, long-term stability and continuous monitoring remain unsolved challenges. Herein, we present a highly stable electrochemical biosensor based on a redox mediator bilayer consisting of Prussian blue and iron-nickel hexacyanoferrate to increase the long-term stability of the readout coupled with a hollow MN array as a sampling unit for ISF uptake. First, the enzymatic biosensor is developed by using affordable screen-printed electrodes (SPE) and optimized for long-term stability fitting the physiological range of glucose in ISF (i.e., 2.5-22.5 mM). In parallel, the MN array is assessed for minimally invasive piercing of the skin. Subsequently, the biosensor is integrated with the MN array leaving a microfluidic spacer that works as the electrochemical cell. Interestingly, a microfluidic channel connects the cell with an external syringe to actively and rapidly withdraw ISF toward the cell. Finally, the robust MN sensing patch is characterized during in vitro and ex vivo tests. Overall, affordable wearable MN-based patches for the continuous monitoring of glucose in ISF are providing an advent in wearable devices for rapid and life-threatening decision-making processes.
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15
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Tabasum H, Gill N, Mishra R, Lone S. Wearable microfluidic-based e-skin sweat sensors. RSC Adv 2022; 12:8691-8707. [PMID: 35424805 PMCID: PMC8985157 DOI: 10.1039/d1ra07888g] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 02/27/2022] [Indexed: 12/20/2022] Open
Abstract
Electronic skins (e-skins) are soft (deformable and stretchable) state-of-the-art wearable devices that emulate the attributes of human skin and act as a Human-Machine Interface (HMI). Recent advances in e-skin for real-time detection of medical signals such as pulse, temperature, electromyogram (EMG), electroencephalogram (EEG), electrooculogram (EOG), electrocardiogram (ECG), and other bioelectric signals laid down an intelligent foundation for early prediction and diagnosis of diseases with a motive of reducing the risk of the ailment reaching to the end stage. In particular, sweat testing has been employed in diverse applications ranging from medical diagnosis of diabetes, cystic fibrosis, tuberculosis, blood pressure, and autonomic neuropathy to evaluating fluid and electrolyte balance in athletes. Typically, sweat testing techniques are done by trained experts and require off-body measurements, which prevent individuals from de-coding health issues quickly and independently. With the onset of soft electronics, wearable sweat sensors overcome this disadvantage via in situ sweat measurements with real-time feedback, timely diagnosis, creating the potential for preventive care and treatment. Over the past few decades, wearable microfluidic-based e-skin sweat sensors have paved a new way, promising sensing interfaces that are highly compatible with arranging medical and electronic applications. The present review highlights the recent research carried out in the microfluidic-based wearable sweat sensors with a critical focus on real-time sensing of lactate, chloride, and glucose concentration; sweat rate, simultaneously with pH, and total sweat loss for preventive care, timely diagnosis, and point-of-care health and fitness monitoring.
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Affiliation(s)
- Humairah Tabasum
- Department of Chemistry, National Institute of Technology (NIT) Srinagar J&K India 190006 +91-60005221589
- iDREAM (Interdisciplinary Division for Renewable Energy & Advanced Materials), NIT Srinagar India 190006
| | - Nikita Gill
- Department of Chemistry, National Institute of Technology (NIT) Srinagar J&K India 190006 +91-60005221589
- iDREAM (Interdisciplinary Division for Renewable Energy & Advanced Materials), NIT Srinagar India 190006
| | - Rahul Mishra
- Department of Chemistry, National Institute of Technology (NIT) Srinagar J&K India 190006 +91-60005221589
- iDREAM (Interdisciplinary Division for Renewable Energy & Advanced Materials), NIT Srinagar India 190006
| | - Saifullah Lone
- Department of Chemistry, National Institute of Technology (NIT) Srinagar J&K India 190006 +91-60005221589
- iDREAM (Interdisciplinary Division for Renewable Energy & Advanced Materials), NIT Srinagar India 190006
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16
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Zafar H, Channa A, Jeoti V, Stojanović GM. Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoring. SENSORS (BASEL, SWITZERLAND) 2022; 22:638. [PMID: 35062598 PMCID: PMC8781973 DOI: 10.3390/s22020638] [Citation(s) in RCA: 52] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 12/16/2021] [Accepted: 12/31/2021] [Indexed: 02/07/2023]
Abstract
The incidence of diabetes is increasing at an alarming rate, and regular glucose monitoring is critical in order to manage diabetes. Currently, glucose in the body is measured by an invasive method of blood sugar testing. Blood glucose (BG) monitoring devices measure the amount of sugar in a small sample of blood, usually drawn from pricking the fingertip, and placed on a disposable test strip. Therefore, there is a need for non-invasive continuous glucose monitoring, which is possible using a sweat sensor-based approach. As sweat sensors have garnered much interest in recent years, this study attempts to summarize recent developments in non-invasive continuous glucose monitoring using sweat sensors based on different approaches with an emphasis on the devices that can potentially be integrated into a wearable platform. Numerous research entities have been developing wearable sensors for continuous blood glucose monitoring, however, there are no commercially viable, non-invasive glucose monitors on the market at the moment. This review article provides the state-of-the-art in sweat glucose monitoring, particularly keeping in sight the prospect of its commercialization. The challenges relating to sweat collection, sweat sample degradation, person to person sweat amount variation, various detection methods, and their glucose detection sensitivity, and also the commercial viability are thoroughly covered.
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Affiliation(s)
- Hima Zafar
- Faculty of Technical Sciences, University of Novi Sad, T. Dositeja Obradovića 6, 21000 Novi Sad, Serbia; (V.J.); (G.M.S.)
| | - Asma Channa
- Computer Science Department, University Politehnica of Bucharest, 060042 Bucharest, Romania;
- DIIES Department, Mediterranea University of Reggio Calabria, 89100 Reggio Calabria, Italy
| | - Varun Jeoti
- Faculty of Technical Sciences, University of Novi Sad, T. Dositeja Obradovića 6, 21000 Novi Sad, Serbia; (V.J.); (G.M.S.)
| | - Goran M. Stojanović
- Faculty of Technical Sciences, University of Novi Sad, T. Dositeja Obradovića 6, 21000 Novi Sad, Serbia; (V.J.); (G.M.S.)
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17
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Ghaffari R, Yang DS, Kim J, Mansour A, Wright JA, Model JB, Wright DE, Rogers JA, Ray TR. State of Sweat: Emerging Wearable Systems for Real-Time, Noninvasive Sweat Sensing and Analytics. ACS Sens 2021; 6:2787-2801. [PMID: 34351759 DOI: 10.1021/acssensors.1c01133] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Skin-interfaced wearable systems with integrated colorimetric assays, microfluidic channels, and electrochemical sensors offer powerful capabilities for noninvasive, real-time sweat analysis. This Perspective details recent progress in the development and translation of novel wearable sensors for personalized assessment of sweat dynamics and biomarkers, with precise sampling and real-time analysis. Sensor accuracy, system ruggedness, and large-scale deployment in remote environments represent key opportunity areas, enabling broad deployment in the context of field studies, clinical trials, and recent commercialization. On-body measurements in these contexts show good agreement compared to conventional laboratory-based sweat analysis approaches. These device demonstrations highlight the utility of biochemical sensing platforms for personalized assessment of performance, wellness, and health across a broad range of applications.
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Affiliation(s)
- Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Da Som Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
| | - Joohee Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
| | - Amer Mansour
- Division of Biological Sciences, The University of Chicago, Chicago, Illinois 60637, United States
| | - John A. Wright
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Jeffrey B. Model
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - Donald E. Wright
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, Illinois 60202, United States
- Department of Biomedical Engineering, Northwestern University, Evanston, Illinois 60202, United States
- Epicore Biosystems, Inc., Cambridge, Massachusetts 02139, United States
- Departments of Materials Science and Engineering, Mechanical Engineering, Electrical and Computer Engineering, and Chemistry, Northwestern University, Evanston, Illinois 60202, United States
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, 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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18
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Li H, Gu S, Zhang Q, Song E, Kuang T, Chen F, Yu X, Chang L. Recent advances in biofluid detection with micro/nanostructured bioelectronic devices. NANOSCALE 2021; 13:3436-3453. [PMID: 33538736 DOI: 10.1039/d0nr07478k] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Most biofluids contain a wide variety of biochemical components that are closely related to human health. Analyzing biofluids, such as sweat and tears, may deepen our understanding in pathophysiologic conditions associated with human body, while providing a variety of useful information for the diagnosis and treatment of disorders and disease. Emerging classes of micro/nanostructured bioelectronic devices for biofluid detection represent a recent breakthrough development of critical importance in this context, including traditional biosensors (TBS) and micro/nanostructured biosensors (MNBS). Related biosensors are not restricted to flexible and wearable devices; solid devices are also involved here. This article is a timely overview of recent technical advances in this field, with an emphasis on the new insights of constituent materials, design architectures and detection methods of MNBS that support the necessary levels of biocompatibility, device functionality, and stable operation for component analysis. An additional section discusses and analyzes the existing challenges, possible solutions and future development of MNBS for detecting biofluids.
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Affiliation(s)
- Hu Li
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, P. R. China. and Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
| | - Shaochun Gu
- Department of Material Science and Engineering, Zhejiang University of Technology, Zhejiang, 310014, P. R. China.
| | - Qianmin Zhang
- Department of Material Science and Engineering, Zhejiang University of Technology, Zhejiang, 310014, P. R. China.
| | - Enming Song
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
| | - Tairong Kuang
- Department of Material Science and Engineering, Zhejiang University of Technology, Zhejiang, 310014, P. R. China.
| | - Feng Chen
- Department of Material Science and Engineering, Zhejiang University of Technology, Zhejiang, 310014, P. R. China.
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
| | - Lingqian Chang
- Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, P. R. China. and School of Biomedical Engineering, Research and Engineering Center of Biomedical Materials, Anhui Medical University, Hefei 230032, P. R. China
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Seshadri DR, Thom ML, Harlow ER, Gabbett TJ, Geletka BJ, Hsu JJ, Drummond CK, Phelan DM, Voos JE. Wearable Technology and Analytics as a Complementary Toolkit to Optimize Workload and to Reduce Injury Burden. Front Sports Act Living 2021; 2:630576. [PMID: 33554111 PMCID: PMC7859639 DOI: 10.3389/fspor.2020.630576] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 12/22/2020] [Indexed: 12/26/2022] Open
Abstract
Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes. Sports medicine researchers compile datasets involving a multitude of parameters that can often be time consuming to analyze in order to create value in an expeditious and accurate manner. Machine learning and artificial intelligence models may aid in the clinical decision-making process for sports scientists, team physicians, and athletic trainers in translating the data acquired from wearable sensors to accurately and efficiently make decisions regarding the health, safety, and performance of athletes. This narrative review discusses the application of commercial sensors utilized by sports teams today and the emergence of descriptive analytics to monitor the internal and external workload, hydration status, sleep, cardiovascular health, and return-to-sport status of athletes. This review is written for those who are interested in the application of wearable sensor data and data science to enhance performance and reduce injury burden in athletes of all ages.
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Affiliation(s)
- Dhruv R. Seshadri
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
| | - Mitchell L. Thom
- Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Ethan R. Harlow
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
- Sports Medicine Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
| | - Tim J. Gabbett
- Gabbett Performance Solutions, Brisbane, QLD, Australia
- Centre for Health Research, University of Southern Queensland, Ipswich, QLD, Australia
| | - Benjamin J. Geletka
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
- Sports Medicine Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
| | - Jeffrey J. Hsu
- Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Colin K. Drummond
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States
| | - Dermot M. Phelan
- Sports Cardiology, Hypertrophic Cardiomyopathy Program, Sanger Heart and Vascular Institute, Atrium Health, Charlotte, NC, United States
| | - James E. Voos
- Department of Orthopaedic Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
- Sports Medicine Institute, University Hospitals Cleveland Medical Center, Cleveland, OH, United States
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20
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Moonen EJ, Haakma JR, Peri E, Pelssers E, Mischi M, den Toonder JM. Wearable sweat sensing for prolonged, semicontinuous, and nonobtrusive health monitoring. VIEW 2020. [DOI: 10.1002/viw.20200077] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Emma J.M. Moonen
- Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands
- Institute for Complex Molecular Systems (ICMS) Eindhoven University of Technology Eindhoven The Netherlands
| | - Jelte R. Haakma
- Department of Electrical Engineering, Laboratory of Biomedical Diagnostics Eindhoven University of Technology Eindhoven The Netherlands
| | - Elisabetta Peri
- Department of Electrical Engineering, Laboratory of Biomedical Diagnostics Eindhoven University of Technology Eindhoven The Netherlands
| | - Eduard Pelssers
- Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands
- Philips Research Royal Philips High Tech Campus Eindhoven The Netherlands
| | - Massimo Mischi
- Department of Electrical Engineering, Laboratory of Biomedical Diagnostics Eindhoven University of Technology Eindhoven The Netherlands
| | - Jaap M.J. den Toonder
- Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands
- Institute for Complex Molecular Systems (ICMS) Eindhoven University of Technology Eindhoven The Netherlands
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21
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Wiorek A, Parrilla M, Cuartero M, Crespo GA. Epidermal Patch with Glucose Biosensor: pH and Temperature Correction toward More Accurate Sweat Analysis during Sport Practice. Anal Chem 2020; 92:10153-10161. [PMID: 32588617 PMCID: PMC7467422 DOI: 10.1021/acs.analchem.0c02211] [Citation(s) in RCA: 86] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
![]()
We present an epidermal
patch for glucose analysis in sweat incorporating
for the first time pH and temperature correction according to local
dynamic fluctuations in sweat during on-body tests. This sort of correction
is indeed the main novelty of the paper, being crucial toward reliable
measurements in every sensor based on an enzymatic element whose activity
strongly depends on pH and temperature. The results herein reported
for corrected glucose detection during on-body measurements are supported
by a two-step validation protocol: with the biosensor operating off-
and on-bodily, correlating the results with UV–vis spectrometry
and/or ion chromatography. Importantly, the wearable device is a flexible
skin patch that comprises a microfluidic cell designed with a sweat
collection zone coupled to a fluidic channel in where the needed electrodes
are placed: glucose biosensor, pH potentiometric electrode and a temperature
sensor. The glucose biosensor presents a linear range of response
within the expected physiological levels of glucose in sweat (10–200
μM), and the calibration parameters are dynamically adjusted
to any change in pH and temperature during the sport practice by means
of a new “correction approach”. In addition, the sensor
displays a fast response time, appropriate selectivity, and excellent
reversibility. A total of 9 validated on-body tests are presented:
the outcomes revealed a great potential of the wearable glucose sensor
toward the provision of reliable physiological data linked to individuals
during sport activity. In particular, the developed “correction
approach” is expected to impact into the next generation of
wearable devices that digitalize physiological activities through
chemical information in a trustable manner for both sport and healthcare
applications.
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Affiliation(s)
- Alexander Wiorek
- Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Teknikringen 30, SE-100 44 Stockholm, Sweden
| | - Marc Parrilla
- Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Teknikringen 30, SE-100 44 Stockholm, Sweden
| | - María Cuartero
- Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Teknikringen 30, SE-100 44 Stockholm, Sweden
| | - Gastón A Crespo
- Department of Chemistry, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Teknikringen 30, SE-100 44 Stockholm, Sweden
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22
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Physiological mechanisms determining eccrine sweat composition. Eur J Appl Physiol 2020; 120:719-752. [PMID: 32124007 PMCID: PMC7125257 DOI: 10.1007/s00421-020-04323-7] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 02/11/2020] [Indexed: 02/08/2023]
Abstract
Purpose The purpose of this paper is to review the physiological mechanisms determining eccrine sweat composition to assess the utility of sweat as a proxy for blood or as a potential biomarker of human health or nutritional/physiological status. Methods This narrative review includes the major sweat electrolytes (sodium, chloride, and potassium), other micronutrients (e.g., calcium, magnesium, iron, copper, zinc, vitamins), metabolites (e.g., glucose, lactate, ammonia, urea, bicarbonate, amino acids, ethanol), and other compounds (e.g., cytokines and cortisol). Results Ion membrane transport mechanisms for sodium and chloride are well established, but the mechanisms of secretion and/or reabsorption for most other sweat solutes are still equivocal. Correlations between sweat and blood have not been established for most constituents, with perhaps the exception of ethanol. With respect to sweat diagnostics, it is well accepted that elevated sweat sodium and chloride is a useful screening tool for cystic fibrosis. However, sweat electrolyte concentrations are not predictive of hydration status or sweating rate. Sweat metabolite concentrations are not a reliable biomarker for exercise intensity or other physiological stressors. To date, glucose, cytokine, and cortisol research is too limited to suggest that sweat is a useful surrogate for blood. Conclusion Final sweat composition is not only influenced by extracellular solute concentrations, but also mechanisms of secretion and/or reabsorption, sweat flow rate, byproducts of sweat gland metabolism, skin surface contamination, and sebum secretions, among other factors related to methodology. Future research that accounts for these confounding factors is needed to address the existing gaps in the literature. Electronic supplementary material The online version of this article (10.1007/s00421-020-04323-7) contains supplementary material, which is available to authorized users.
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23
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Wearable sensors for monitoring the physiological and biochemical profile of the athlete. NPJ Digit Med 2019; 2:72. [PMID: 31341957 PMCID: PMC6646404 DOI: 10.1038/s41746-019-0150-9] [Citation(s) in RCA: 129] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 07/08/2019] [Indexed: 12/21/2022] Open
Abstract
Athletes are continually seeking new technologies and therapies to gain a competitive edge to maximize their health and performance. Athletes have gravitated toward the use of wearable sensors to monitor their training and recovery. Wearable technologies currently utilized by sports teams monitor both the internal and external workload of athletes. However, there remains an unmet medical need by the sports community to gain further insight into the internal workload of the athlete to tailor recovery protocols to each athlete. The ability to monitor biomarkers from saliva or sweat in a noninvasive and continuous manner remain the next technological gap for sports medical personnel to tailor hydration and recovery protocols per the athlete. The emergence of flexible and stretchable electronics coupled with the ability to quantify biochemical analytes and physiological parameters have enabled the detection of key markers indicative of performance and stress, as reviewed in this paper.
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24
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Accessing analytes in biofluids for peripheral biochemical monitoring. Nat Biotechnol 2019; 37:407-419. [DOI: 10.1038/s41587-019-0040-3] [Citation(s) in RCA: 228] [Impact Index Per Article: 45.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 11/20/2018] [Indexed: 02/07/2023]
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