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Zhu Y, Li J, Kim J, Li S, Zhao Y, Bahari J, Eliahoo P, Li G, Kawakita S, Haghniaz R, Gao X, Falcone N, Ermis M, Kang H, Liu H, Kim H, Tabish T, Yu H, Li B, Akbari M, Emaminejad S, Khademhosseini A. Skin-interfaced electronics: A promising and intelligent paradigm for personalized healthcare. Biomaterials 2023; 296:122075. [PMID: 36931103 PMCID: PMC10085866 DOI: 10.1016/j.biomaterials.2023.122075] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/23/2023] [Accepted: 03/02/2023] [Indexed: 03/09/2023]
Abstract
Skin-interfaced electronics (skintronics) have received considerable attention due to their thinness, skin-like mechanical softness, excellent conformability, and multifunctional integration. Current advancements in skintronics have enabled health monitoring and digital medicine. Particularly, skintronics offer a personalized platform for early-stage disease diagnosis and treatment. In this comprehensive review, we discuss (1) the state-of-the-art skintronic devices, (2) material selections and platform considerations of future skintronics toward intelligent healthcare, (3) device fabrication and system integrations of skintronics, (4) an overview of the skintronic platform for personalized healthcare applications, including biosensing as well as wound healing, sleep monitoring, the assessment of SARS-CoV-2, and the augmented reality-/virtual reality-enhanced human-machine interfaces, and (5) current challenges and future opportunities of skintronics and their potentials in clinical translation and commercialization. The field of skintronics will not only minimize physical and physiological mismatches with the skin but also shift the paradigm in intelligent and personalized healthcare and offer unprecedented promise to revolutionize conventional medical practices.
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Affiliation(s)
- Yangzhi Zhu
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States.
| | - Jinghang Li
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States
| | - Jinjoo Kim
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States
| | - Shaopei Li
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States
| | - Yichao Zhao
- Interconnected and Integrated Bioelectronics Lab, Department of Electrical and Computer Engineering, and Materials Science and Engineering, University of California, Los Angeles, CA, 90095, United States
| | - Jamal Bahari
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States
| | - Payam Eliahoo
- Biomedical Engineering Department, University of Southern California, Los Angeles, CA, 90007, United States
| | - Guanghui Li
- The Centre of Nanoscale Science and Technology and Key Laboratory of Functional Polymer Materials, Institute of Polymer Chemistry, College of Chemistry, Nankai University, Tianjin, 300071, China; Renewable Energy Conversion and Storage Center (RECAST), Nankai University, Tianjin, 300071, China
| | - Satoru Kawakita
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States
| | - Reihaneh Haghniaz
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States
| | - Xiaoxiang Gao
- Department of Nanoengineering, University of California, San Diego, La Jolla, CA, 92093, United States
| | - Natashya Falcone
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States
| | - Menekse Ermis
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States
| | - Heemin Kang
- Department of Materials Science and Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Hao Liu
- Bioinspired Engineering and Biomechanics Center (BEBC), Xi'an Jiaotong University, Xi'an, 710049, PR China
| | - HanJun Kim
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States; College of Pharmacy, Korea University, Sejong, 30019, Republic of Korea
| | - Tanveer Tabish
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, OX3 7BN, United Kingdom
| | - Haidong Yu
- Frontiers Science Center for Flexible Electronics, Xi'an Institute of Flexible Electronics (IFE) and Xi'an Institute of Biomedical Materials & Engineering, Northwestern Polytechnical University, Xi'an, 710072, PR China
| | - Bingbing Li
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States; Department of Manufacturing Systems Engineering and Management, California State University, Northridge, CA, 91330, United States
| | - Mohsen Akbari
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States; Laboratory for Innovation in Microengineering (LiME), Department of Mechanical Engineering, Center for Biomedical Research, University of Victoria, Victoria, BC V8P 2C5, Canada
| | - Sam Emaminejad
- Interconnected and Integrated Bioelectronics Lab, Department of Electrical and Computer Engineering, and Materials Science and Engineering, University of California, Los Angeles, CA, 90095, United States
| | - Ali Khademhosseini
- Terasaki Institute for Biomedical Innovation, Los Angeles, CA, 90064, United States.
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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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Shen Y, Liu C, He H, Zhang M, Wang H, Ji K, Wei L, Mao X, Sun R, Zhou F. Recent Advances in Wearable Biosensors for Non-Invasive Detection of Human Lactate. BIOSENSORS 2022; 12:1164. [PMID: 36551131 PMCID: PMC9776101 DOI: 10.3390/bios12121164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 11/29/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Lactate, a crucial product of the anaerobic metabolism of carbohydrates in the human body, is of enormous significance in the diagnosis and treatment of diseases and scientific exercise management. The level of lactate in the bio-fluid is a crucial health indicator because it is related to diseases, such as hypoxia, metabolic disorders, renal failure, heart failure, and respiratory failure. For critically ill patients and those who need to regularly control lactate levels, it is vital to develop a non-invasive wearable sensor to detect lactate levels in matrices other than blood. Due to its high sensitivity, high selectivity, low detection limit, simplicity of use, and ability to identify target molecules in the presence of interfering chemicals, biosensing is a potential analytical approach for lactate detection that has received increasing attention. Various types of wearable lactate biosensors are reviewed in this paper, along with their preparation, key properties, and commonly used flexible substrate materials including polydimethylsiloxane (PDMS), polyethylene terephthalate (PET), paper, and textiles. Key performance indicators, including sensitivity, linear detection range, and detection limit, are also compared. The challenges for future development are also summarized, along with some recommendations for the future development of lactate biosensors.
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Affiliation(s)
- Yutong Shen
- School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi’an Polytechnic University, Xi’an 710048, China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi’an Polytechnic University, Xi’an 710048, China
| | - Chengkun Liu
- School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi’an Polytechnic University, Xi’an 710048, China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi’an Polytechnic University, Xi’an 710048, China
| | - Haijun He
- Engineering Research Center for Knitting Technology of the Ministry of Education, Jiangnan University, Wuxi 214122, China
| | - Mengdi Zhang
- School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi’an Polytechnic University, Xi’an 710048, China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi’an Polytechnic University, Xi’an 710048, China
| | - Hao Wang
- School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi’an Polytechnic University, Xi’an 710048, China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi’an Polytechnic University, Xi’an 710048, China
| | - Keyu Ji
- School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi’an Polytechnic University, Xi’an 710048, China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi’an Polytechnic University, Xi’an 710048, China
| | - Liang Wei
- School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi’an Polytechnic University, Xi’an 710048, China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi’an Polytechnic University, Xi’an 710048, China
| | - Xue Mao
- School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi’an Polytechnic University, Xi’an 710048, China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi’an Polytechnic University, Xi’an 710048, China
| | - Runjun Sun
- School of Textile Science and Engineering, Xi’an Polytechnic University, Xi’an 710048, China
- Key Laboratory of Functional Textile Material and Product of the Ministry of Education, Xi’an Polytechnic University, Xi’an 710048, China
- Shaanxi College Engineering Research Center of Functional Micro/Nano Textile Materials, Xi’an Polytechnic University, Xi’an 710048, China
| | - Fenglei Zhou
- Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London WC1E 6BT, UK
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Klerman EB, Brager A, Carskadon MA, Depner CM, Foster R, Goel N, Harrington M, Holloway PM, Knauert MP, LeBourgeois MK, Lipton J, Merrow M, Montagnese S, Ning M, Ray D, Scheer FAJL, Shea SA, Skene DJ, Spies C, Staels B, St‐Onge M, Tiedt S, Zee PC, Burgess HJ. Keeping an eye on circadian time in clinical research and medicine. Clin Transl Med 2022; 12:e1131. [PMID: 36567263 PMCID: PMC9790849 DOI: 10.1002/ctm2.1131] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/15/2022] [Accepted: 11/17/2022] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Daily rhythms are observed in humans and almost all other organisms. Most of these observed rhythms reflect both underlying endogenous circadian rhythms and evoked responses from behaviours such as sleep/wake, eating/fasting, rest/activity, posture changes and exercise. For many research and clinical purposes, it is important to understand the contribution of the endogenous circadian component to these observed rhythms. CONTENT The goal of this manuscript is to provide guidance on best practices in measuring metrics of endogenous circadian rhythms in humans and promote the inclusion of circadian rhythms assessments in studies of health and disease. Circadian rhythms affect all aspects of physiology. By specifying minimal experimental conditions for studies, we aim to improve the quality, reliability and interpretability of research into circadian and daily (i.e., time-of-day) rhythms and facilitate the interpretation of clinical and translational findings within the context of human circadian rhythms. We describe protocols, variables and analyses commonly used for studying human daily rhythms, including how to assess the relative contributions of the endogenous circadian system and other daily patterns in behaviours or the environment. We conclude with recommendations for protocols, variables, analyses, definitions and examples of circadian terminology. CONCLUSION Although circadian rhythms and daily effects on health outcomes can be challenging to distinguish in practice, this distinction may be important in many clinical settings. Identifying and targeting the appropriate underlying (patho)physiology is a medical goal. This review provides methods for identifying circadian effects to aid in the interpretation of published work and the inclusion of circadian factors in clinical research and practice.
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Affiliation(s)
- Elizabeth B. Klerman
- Department of NeurologyMassachusetts General Hospital, Brigham and Women's HospitalBostonMassachusettsUSA
- Division of Sleep MedicineHarvard Medical SchoolBostonMassachusettsUSA
| | - Allison Brager
- PlansAnalysis, and FuturesJohn F. Kennedy Special Warfare Center and SchoolFort BraggNorth CarolinaUSA
| | - Mary A. Carskadon
- Alpert Medical School of Brown UniversityDepartment of Psychiatry and Human BehaviorEP Bradley HospitalChronobiology and Sleep ResearchProvidenceRhode IslandUSA
| | | | - Russell Foster
- Sir Jules Thorn Sleep and Circadian Neuroscience InstituteNuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Namni Goel
- Biological Rhythms Research LaboratoryDepartment of Psychiatry and Behavioral SciencesRush University Medical CenterChicagoIllinoisUSA
| | - Mary Harrington
- Neuroscience ProgramSmith CollegeNorthamptonMassachusettsUSA
| | | | - Melissa P. Knauert
- Section of PulmonaryCritical Care, and Sleep MedicineDepartment of Internal MedicineYale School of MedicineNew HavenConnecticutUSA
| | - Monique K. LeBourgeois
- Sleep and Development LaboratoryDepartment of Integrative PhysiologyUniversity of Colorado BoulderBoulderColoradoUSA
| | - Jonathan Lipton
- Boston Children's Hospital and Kirby Neurobiology CenterBostonMassachusettsUSA
| | - Martha Merrow
- Institute of Medical PsychologyFaculty of MedicineLMUMunichGermany
| | - Sara Montagnese
- Department of MedicineUniversity of PadovaPadovaItaly
- ChronobiologyFaculty of Health and Medical SciencesUniversity of SurreyGuildfordUK
| | - Mingming Ning
- Clinical Proteomics Research Center and Cardio‐Neurology DivisionMassachusetts General HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - David Ray
- NIHR Oxford Biomedical Research CentreJohn Radcliffe HospitalOxfordUK
- Oxford Centre for DiabetesEndocrinology and MetabolismUniversity of OxfordOxfordUK
| | - Frank A. J. L. Scheer
- Division of Sleep MedicineHarvard Medical SchoolBostonMassachusettsUSA
- Medical Chronobiology ProgramDivision of Sleep and Circadian DisordersDepartments of Medicine and NeurologyBrigham and Women's HospitalBostonMassachusettsUSA
| | - Steven A. Shea
- Oregon Institute of Occupational Health SciencesOregon Health and Science UniversityPortlandOregonUSA
| | - Debra J. Skene
- ChronobiologyFaculty of Health and Medical SciencesUniversity of SurreyGuildfordUK
| | - Claudia Spies
- Department of Anesthesiology and Intensive Care MedicineCharité – Universitaetsmedizin BerlinBerlinGermany
| | - Bart Staels
- UnivLilleInsermCHU LilleInstitut Pasteur de LilleU1011‐EGIDLilleFrance
| | - Marie‐Pierre St‐Onge
- Division of General Medicine and Center of Excellence for Sleep and Circadian ResearchDepartment of MedicineColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Steffen Tiedt
- Institute for Stroke and Dementia ResearchUniversity HospitalLMUMunichGermany
| | - Phyllis C. Zee
- Center for Circadian and Sleep MedicineDivision of Sleep MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Helen J. Burgess
- Sleep and Circadian Research LaboratoryDepartment of PsychiatryUniversity of MichiganAnn ArborMichiganUSA
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5
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Thapa S, Heo YS. Optimization of a Single Substrate-Based Fluorometric Assay for Glucose and Lactate Measurement to Assess Preimplantation Single Embryo Quality and Blood in Obese Mouse and Clinical Human Samples. Anal Chem 2022; 94:16171-16179. [DOI: 10.1021/acs.analchem.2c03602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Seema Thapa
- Department of Biomedical Engineering, School of Medicine, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Republic of Korea
| | - Yun Seok Heo
- Department of Biomedical Engineering, School of Medicine, Keimyung University, 1095 Dalgubeol-daero, Dalseo-gu, Daegu 42601, Republic of Korea
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6
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Resettable sweat-powered wearable electrochromic biosensor. Biosens Bioelectron 2022; 215:114565. [DOI: 10.1016/j.bios.2022.114565] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 12/15/2022]
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Ibrahim NFA, Sabani N, Johari S, Manaf AA, Wahab AA, Zakaria Z, Noor AM. A Comprehensive Review of the Recent Developments in Wearable Sweat-Sensing Devices. SENSORS (BASEL, SWITZERLAND) 2022; 22:7670. [PMID: 36236769 PMCID: PMC9573257 DOI: 10.3390/s22197670] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/26/2022] [Accepted: 10/02/2022] [Indexed: 06/16/2023]
Abstract
Sweat analysis offers non-invasive real-time on-body measurement for wearable sensors. However, there are still gaps in current developed sweat-sensing devices (SSDs) regarding the concerns of mixing fresh and old sweat and real-time measurement, which are the requirements to ensure accurate the measurement of wearable devices. This review paper discusses these limitations by aiding model designs, features, performance, and the device operation for exploring the SSDs used in different sweat collection tools, focusing on continuous and non-continuous flow sweat analysis. In addition, the paper also comprehensively presents various sweat biomarkers that have been explored by earlier works in order to broaden the use of non-invasive sweat samples in healthcare and related applications. This work also discusses the target analyte's response mechanism for different sweat compositions, categories of sweat collection devices, and recent advances in SSDs regarding optimal design, functionality, and performance.
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Affiliation(s)
- Nur Fatin Adini Ibrahim
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Norhayati Sabani
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Shazlina Johari
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Asrulnizam Abd Manaf
- Collaborative Microelectronic Design Excellence Centre, Universiti Sains Malaysia, Gelugor 11800, Malaysia
| | - Asnida Abdul Wahab
- Department of Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
| | - Zulkarnay Zakaria
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Sports Engineering Research Center, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Anas Mohd Noor
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
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8
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Saha T, Songkakul T, Knisely CT, Yokus MA, Daniele MA, Dickey MD, Bozkurt A, Velev OD. Wireless Wearable Electrochemical Sensing Platform with Zero-Power Osmotic Sweat Extraction for Continuous Lactate Monitoring. ACS Sens 2022; 7:2037-2048. [PMID: 35820167 DOI: 10.1021/acssensors.2c00830] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Wearable and wireless monitoring of biomarkers such as lactate in sweat can provide a deeper understanding of a subject's metabolic stressors, cardiovascular health, and physiological response to exercise. However, the state-of-the-art wearable and wireless electrochemical systems rely on active sweat released either via high-exertion exercise, electrical stimulation (such as iontophoresis requiring electrical power), or chemical stimulation (such as by delivering pilocarpine or carbachol inside skin), to extract sweat under low-perspiring conditions such as at rest. Here, we present a continuous sweat lactate monitoring platform combining a hydrogel for osmotic sweat extraction, with a paper microfluidic channel for facilitating sweat transport and management, a screen-printed electrochemical lactate sensor, and a custom-built wireless wearable potentiostat system. Osmosis enables zero-electrical power sweat extraction at rest, while continuous evaporation at the end of a paper channel allows long-term sensing from fresh sweat. The positioning of the lactate sensors provides near-instantaneous sensing at low sweat volume, and the custom-designed potentiostat supports continuous monitoring with ultra-low power consumption. For a proof of concept, the prototype system was evaluated for continuous measurement of sweat lactate across a range of physiological activities with changing lactate concentrations and sweat rates: for 2 h at the resting state, 1 h during medium-intensity exercise, and 30 min during high-intensity exercise. Overall, this wearable system holds the potential of providing comprehensive and long-term continuous analysis of sweat lactate trends in the human body during rest and under exercising conditions.
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Affiliation(s)
- Tamoghna Saha
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Tanner Songkakul
- Department of Electrical & Computer Engineering, North Carolina State University, 890 Oval Drive, Raleigh, North Carolina 27695, United States
| | - Charles T Knisely
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Murat A Yokus
- Department of Electrical & Computer Engineering, North Carolina State University, 890 Oval Drive, Raleigh, North Carolina 27695, United States
| | - Michael A Daniele
- Department of Electrical & Computer Engineering, North Carolina State University, 890 Oval Drive, Raleigh, North Carolina 27695, United States.,Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, 911 Oval Drive, Raleigh, North Carolina 27695, United States
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Alper Bozkurt
- Department of Electrical & Computer Engineering, North Carolina State University, 890 Oval Drive, Raleigh, North Carolina 27695, United States
| | - Orlin D Velev
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, United States
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9
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Madden J, Vaughan E, Thompson M, O' Riordan A, Galvin P, Iacopino D, Rodrigues Teixeira S. Electrochemical sensor for enzymatic lactate detection based on laser-scribed graphitic carbon modified with platinum, chitosan and lactate oxidase. Talanta 2022; 246:123492. [PMID: 35487014 DOI: 10.1016/j.talanta.2022.123492] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/01/2022] [Accepted: 04/15/2022] [Indexed: 12/20/2022]
Abstract
We developed a flexible laser scribed graphitic carbon based lactate biosensor fabricated using a low cost 450 nm laser. We demonstrated a facile fabrication method involving electrodeposition of platinum followed by two casting steps for modification with chitosan and lactate oxidase. The biosensor demonstrated chronoamperometric lactate detection within a linear range from 0.2 mM to 3 mM, (R2 > 0.99), with a limit of detection of 0.11 mM and a sensitivity of 35.8 μA/mM/cm2. The biosensor was successful in performing up to 10 consecutive measurements (one after the other) indicating good working stability (RSD <5%). Concerning storage stability, there was no decrease in signal response after 30 days of storage at 4 °C. Additionally, we demonstrate enzymatic lactate detection whilst the flexible polyimide substrates were fixed at a curvature (K) of 0.14 mm-1. No noticeable change in signal response was observed in comparison to calibrations obtained at a curvature of 0 mm-1, signifying potential opportunities for sensor attachment or integration with oral-care products such as mouth swabs. Both laser scribed graphitic carbon and Ag/AgCl modified-laser scribed graphitic carbon were successful as reference electrodes for chronoamperometric lactate measurements. Furthermore, using a three-electrode configuration on polyimide, lactate detection in both artificial saliva and sterile human serum samples was achieved for two spiked concentrations (0.5 mM and 1 mM).
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Affiliation(s)
- Julia Madden
- Tyndall National Institute, University College Cork, Lee Maltings, Cork, Ireland
| | - Eoghan Vaughan
- Tyndall National Institute, University College Cork, Lee Maltings, Cork, Ireland
| | | | - Alan O' Riordan
- Tyndall National Institute, University College Cork, Lee Maltings, Cork, Ireland
| | - Paul Galvin
- Tyndall National Institute, University College Cork, Lee Maltings, Cork, Ireland
| | - Daniela Iacopino
- Tyndall National Institute, University College Cork, Lee Maltings, Cork, Ireland.
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10
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Thapa M, Sung R, Heo YS. A Dual Electrode Biosensor for Glucose and Lactate Measurement in Normal and Prolonged Obese Mice Using Single Drop of Whole Blood. BIOSENSORS 2021; 11:bios11120507. [PMID: 34940264 PMCID: PMC8699454 DOI: 10.3390/bios11120507] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 11/30/2021] [Accepted: 12/07/2021] [Indexed: 12/14/2022]
Abstract
Understanding the levels of glucose (G) and lactate (L) in blood can help us regulate various chronic health conditions such as obesity. In this paper, we introduced an enzyme-based electrochemical biosensor adopting glucose oxidase and lactate oxidase on two working screen-printed carbon electrodes (SPCEs) to sequentially determine glucose and lactate concentrations in a single drop (~30 µL) of whole blood. We developed a diet-induced obesity (DIO) mouse model for 28 weeks and monitored the changes in blood glucose and lactate levels. A linear calibration curve for glucose and lactate concentrations in ranges from 0.5 to 35 mM and 0.5 to 25 mM was obtained with R-values of 0.99 and 0.97, respectively. A drastic increase in blood glucose and a small but significant increase in blood lactate were seen only in prolonged obese cases. The ratio of lactate concentration to glucose concentration (L/G) was calculated as the mouse’s gained weight. The results demonstrated that an L/G value of 0.59 could be used as a criterion to differentiate between normal and obesity conditions. With L/G and weight gain, we constructed a diagnostic plot that could categorize normal and obese health conditions into four different zones. The proposed dual electrode biosensor for glucose and lactate in mouse whole blood showed good stability, selectivity, sensitivity, and efficiency. Thus, we believe that this dual electrode biosensor and the diagnostic plot could be used as a sensitive analytical tool for diagnosing glucose and lactate biomarkers in clinics and for monitoring obesity.
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Osmotically Enabled Wearable Patch for Sweat Harvesting and Lactate Quantification. MICROMACHINES 2021; 12:mi12121513. [PMID: 34945363 PMCID: PMC8705979 DOI: 10.3390/mi12121513] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/28/2021] [Accepted: 12/02/2021] [Indexed: 01/10/2023]
Abstract
Lactate is an essential biomarker for determining the health of the muscles and oxidative stress levels in the human body. However, most of the currently available sweat lactate monitoring devices require external power, cannot measure lactate under low sweat rates (such as in humans at rest), and do not provide adequate information about the relationship between sweat and blood lactate levels. Here, we discuss the on-skin operation of our recently developed wearable sweat sampling patch. The patch combines osmosis (using hydrogel discs) and capillary action (using paper microfluidic channel) for long-term sweat withdrawal and management. When subjects are at rest, the hydrogel disc can withdraw fluid from the skin via osmosis and deliver it to the paper. The lactate amount in the fluid is determined using a colorimetric assay. During active sweating (e.g., exercise), the paper can harvest sweat even in the absence of the hydrogel patch. The captured fluid contains lactate, which we quantify using a colorimetric assay. The measurements show the that the total number of moles of lactate in sweat is correlated to sweat rate. Lactate concentrations in sweat and blood correlate well only during high-intensity exercise. Hence, sweat appears to be a suitable biofluid for lactate quantification. Overall, this wearable patch holds the potential of providing a comprehensive analysis of sweat lactate trends in the human body.
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