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Arwani RT, Tan SCL, Sundarapandi A, Goh WP, Liu Y, Leong FY, Yang W, Zheng XT, Yu Y, Jiang C, Ang YC, Kong L, Teo SL, Chen P, Su X, Li H, Liu Z, Chen X, Yang L, Liu Y. Stretchable ionic-electronic bilayer hydrogel electronics enable in situ detection of solid-state epidermal biomarkers. NATURE MATERIALS 2024; 23:1115-1122. [PMID: 38867019 DOI: 10.1038/s41563-024-01918-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Accepted: 05/08/2024] [Indexed: 06/14/2024]
Abstract
Continuous and in situ detection of biomarkers in biofluids (for example, sweat) can provide critical health data but is limited by biofluid accessibility. Here we report a sensor design that enables in situ detection of solid-state biomarkers ubiquitously present on human skin. We deploy an ionic-electronic bilayer hydrogel to facilitate the sequential dissolution, diffusion and electrochemical reaction of solid-state analytes. We demonstrate continuous monitoring of water-soluble analytes (for example, solid lactate) and water-insoluble analytes (for example, solid cholesterol) with ultralow detection limits of 0.51 and 0.26 nmol cm-2, respectively. Additionally, the bilayer hydrogel electrochemical interface reduces motion artefacts by a factor of three compared with conventional liquid-sensing electrochemical interfaces. In a clinical study, solid-state epidermal biomarkers measured by our stretchable wearable sensors showed a high correlation with biomarkers in human blood and dynamically correlated with physiological activities. These results present routes to universal platforms for biomarker monitoring without the need for biofluid acquisition.
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Affiliation(s)
- Ruth Theresia Arwani
- Department of Biomedical Engineering (BME), National University of Singapore, Singapore, Singapore
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, Singapore
| | - Sherwin Chong Li Tan
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Archana Sundarapandi
- Department of Biomedical Engineering (BME), National University of Singapore, Singapore, Singapore
- The N.1 Institute for Health, National University of Singapore, Singapore, Singapore
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, Singapore
| | - Wei Peng Goh
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yin Liu
- Institute of High-Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Fong Yew Leong
- Institute of High-Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Weifeng Yang
- Department of Biomedical Engineering (BME), National University of Singapore, Singapore, Singapore
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, Donghua University, Shanghai, P. R. China
| | - Xin Ting Zheng
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yong Yu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Changyun Jiang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yuan Ching Ang
- Department of Biomedical Engineering (BME), National University of Singapore, Singapore, Singapore
| | - Lingxuan Kong
- School of Chemistry, Chemical Engineering and Biotechnology (CCEB), Nanyang Technological University, Singapore, Singapore
| | - Siew Lang Teo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Peng Chen
- School of Chemistry, Chemical Engineering and Biotechnology (CCEB), Nanyang Technological University, Singapore, Singapore
- Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, Singapore, Singapore
| | - Xinyi Su
- Department of Ophthalmology, Yong Loo Lin School of Medicine, Singapore, Singapore
- Institute of Molecular Cell and Biology (IMCB), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Hongying Li
- Institute of High-Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Zhuangjian Liu
- Institute of High-Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Xiaodong Chen
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Innovative Center for Flexible Devices (iFLEX), Max Planck-NTU Joint Laboratory for Artificial Senses, School of Materials Science and Engineering (MSE), Nanyang Technological University, Singapore, Singapore
| | - Le Yang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- Department of Materials Science and Engineering (MSE), National University of Singapore, Singapore, Singapore.
| | - Yuxin Liu
- Department of Biomedical Engineering (BME), National University of Singapore, Singapore, Singapore.
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
- The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.
- Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore, Singapore.
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2
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Haghayegh F, Norouziazad A, Haghani E, Feygin AA, Rahimi RH, Ghavamabadi HA, Sadighbayan D, Madhoun F, Papagelis M, Felfeli T, Salahandish R. Revolutionary Point-of-Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2400595. [PMID: 38958517 DOI: 10.1002/advs.202400595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 06/19/2024] [Indexed: 07/04/2024]
Abstract
Early-stage disease detection, particularly in Point-Of-Care (POC) wearable formats, assumes pivotal role in advancing healthcare services and precision-medicine. Public benefits of early detection extend beyond cost-effectively promoting healthcare outcomes, to also include reducing the risk of comorbid diseases. Technological advancements enabling POC biomarker recognition empower discovery of new markers for various health conditions. Integration of POC wearables for biomarker detection with intelligent frameworks represents ground-breaking innovations enabling automation of operations, conducting advanced large-scale data analysis, generating predictive models, and facilitating remote and guided clinical decision-making. These advancements substantially alleviate socioeconomic burdens, creating a paradigm shift in diagnostics, and revolutionizing medical assessments and technology development. This review explores critical topics and recent progress in development of 1) POC systems and wearable solutions for early disease detection and physiological monitoring, as well as 2) discussing current trends in adoption of smart technologies within clinical settings and in developing biological assays, and ultimately 3) exploring utilities of POC systems and smart platforms for biomarker discovery. Additionally, the review explores technology translation from research labs to broader applications. It also addresses associated risks, biases, and challenges of widespread Artificial Intelligence (AI) integration in diagnostics systems, while systematically outlining potential prospects, current challenges, and opportunities.
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Affiliation(s)
- Fatemeh Haghayegh
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Alireza Norouziazad
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Elnaz Haghani
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Ariel Avraham Feygin
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Reza Hamed Rahimi
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Hamidreza Akbari Ghavamabadi
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Deniz Sadighbayan
- Department of Biology, Faculty of Science, York University, Toronto, ON, M3J 1P3, Canada
| | - Faress Madhoun
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Manos Papagelis
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
| | - Tina Felfeli
- Department of Ophthalmology and Vision Sciences, University of Toronto, Ontario, M5T 3A9, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Ontario, M5T 3M6, Canada
| | - Razieh Salahandish
- Laboratory of Advanced Biotechnologies for Health Assessments (Lab-HA), Biomedical Engineering Program, Lassonde School of Engineering, York University, Toronto, M3J 1P3, Canada
- Department of Electrical Engineering and Computer Science (EECS), Lassonde School of Engineering, York University, Toronto, ON, M3J 1P3, Canada
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Tian R, Ma W, Wang L, Xie W, Wang Y, Yin Y, Weng T, He S, Fang S, Liang L, Wang L, Wang D, Bai J. The combination of DNA nanostructures and materials for highly sensitive electrochemical detection. Bioelectrochemistry 2024; 157:108651. [PMID: 38281367 DOI: 10.1016/j.bioelechem.2024.108651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 01/30/2024]
Abstract
Due to the wide range of electrochemical devices available, DNA nanostructures and material-based technologies have been greatly broadened. They have been actively used to create a variety of beautiful nanostructures owing to their unmatched programmability. Currently, a variety of electrochemical devices have been used for rapid sensing of biomolecules and other diagnostic applications. Here, we provide a brief overview of recent advances in DNA-based biomolecular assays. Biosensing platform such as electrochemical biosensor, nanopore biosensor, and field-effect transistor biosensors (FET), which are equipped with aptamer, DNA walker, DNAzyme, DNA origami, and nanomaterials, has been developed for amplification detection. Under the optimal conditions, the proposed biosensor has good amplification detection performance. Further, we discussed the challenges of detection strategies in clinical applications and offered the prospect of this field.
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Affiliation(s)
- Rong Tian
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Wenhao Ma
- Bioengineering College of Chongqing University, Chongqing 400044, PR China
| | - Lue Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, PR China
| | - Wanyi Xie
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Yunjiao Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Yajie Yin
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Ting Weng
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Shixuan He
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Shaoxi Fang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Liyuan Liang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China
| | - Liang Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Deqiang Wang
- Chongqing School, University of Chinese Academy of Sciences & Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, 400714, PR China.
| | - Jingwei Bai
- School of Pharmaceutical Sciences, Tsinghua University, Beijing 100084, PR China
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You Z, Zhao M, Lu H, Chen H, Wang Y. Eye-Readable and Wearable Colorimetric Sensor Arrays for In Situ Monitoring of Volatile Organic Compounds. ACS APPLIED MATERIALS & INTERFACES 2024; 16:19359-19368. [PMID: 38568140 DOI: 10.1021/acsami.4c00312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Wearable sensors utilize changes in color as a response to physiological stimuli, making them easily recognizable by the naked eye. These colorimetric wearable sensors offer benefits such as easy readability, rapid responsiveness, cost-effectiveness, and straightforward manufacturing techniques. However, their applications in detecting volatile organic compounds (VOCs) in situ have been limited due to the low concentration of complex VOCs and complicated external interferences. Aiming to address these challenges, we introduced readable and wearable colorimetric sensing arrays with a microchannel structure and highly gas-sensitive materials for in situ detection of complex VOCs. The highly gas-sensitive materials were designed by loading gas-sensitive dyes into the porous metal-organic frameworks and further depositing the composites on the electrospun nanofiber membrane. The colorimetric sensor arrays were fabricated using various gas-sensitive composites, including eight dye/MOF composites that respond to various VOCs and two Pd2+/dye/MOF composites that respond to ethylene. This enables the specific recognition of multiple characteristic VOCs. A microfluidic channel made of polydimethylsiloxane (PDMS) was integrated with different colorimetric elements to create a wearable sensor array. It was attached to the surface of fruits to collect and monitor VOCs using the DenseNet classification method. As a proof of concept, we demonstrated the feasibility of the wearable sensing system in monitoring the ripening process of fruits by continuously measuring the VOC emissions from the skin of the fruit.
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Affiliation(s)
- Zhiheng You
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Mingming Zhao
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Huizi Lu
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Huayun Chen
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Yixian Wang
- School of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China
- ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou 311215, PR China
- Key Laboratory of Intelligent Equipment and Robotics for Agriculture of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
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5
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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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6
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Lee DH, Lim S, Kwak SS, Kim J. Advancements in Skin-Mediated Drug Delivery: Mechanisms, Techniques, and Applications. Adv Healthc Mater 2024; 13:e2302375. [PMID: 38009520 DOI: 10.1002/adhm.202302375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 10/11/2023] [Indexed: 11/29/2023]
Abstract
Skin-mediated drug delivery methods currently are receiving significant attention as a promising approach for the enhanced delivery of drugs through the skin. Skin-mediated drug delivery offers the potential to overcome the limitations of traditional drug delivery methods, including oral administration and intravenous injection. The challenges associated with drug permeation through layers of skin, which act as a major barrier, are explored, and strategies to overcome these limitations are discussed in detail. This review categorizes skin-mediated drug delivery methods based on the means of increasing drug permeation, and it provides a comprehensive overview of the mechanisms and techniques associated with these methods. In addition, recent advancements in the application of skin-mediated drug delivery are presented. The review also outlines the limitations of ongoing research and suggests future perspectives of studies regarding the skin-mediated delivery of drugs.
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Affiliation(s)
- Dong Ha Lee
- Center for Bionics of Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
- Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Sunyoung Lim
- Center for Bionics of Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
- School of Biomedical Engineering, Korea University, Seoul, 02841, Republic of Korea
| | - Sung Soo Kwak
- Center for Bionics of Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Joohee Kim
- Center for Bionics of Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
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7
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Saha T, Mukherjee S, Dickey MD, Velev OD. Harvesting and manipulating sweat and interstitial fluid in microfluidic devices. LAB ON A CHIP 2024; 24:1244-1265. [PMID: 38197332 DOI: 10.1039/d3lc00874f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Microfluidic devices began to be used to facilitate sweat and interstitial fluid (ISF) sensing in the mid-2010s. Since then, numerous prototypes involving microfluidics have been developed in different form factors for sensing biomarkers found in these fluids under in vitro, ex vivo, and in vivo (on-body) settings. These devices transport and manipulate biofluids using microfluidic channels composed of silicone, polymer, paper, or fiber. Fluid flow transport and sample management can be achieved by controlling the flow rate, surface morphology of the channel, and rate of fluid evaporation. Although many devices have been developed for estimating sweat rate, electrolyte, and metabolite levels, only a handful have been able to proceed beyond laboratory testing and reach the stage of clinical trials and commercialization. To further this technology, this review reports on the utilization of microfluidics towards sweat and ISF management and transport. The review is distinguished from other recent reviews by focusing on microfluidic principles of sweat and ISF generation, transport, extraction, and management. Challenges and prospects are highlighted, with a discussion on how to transition such prototypes towards personalized healthcare monitoring systems.
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Affiliation(s)
- Tamoghna Saha
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Sneha Mukherjee
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Orlin D Velev
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
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8
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You R, Fan Q, Wang Z, Xing W, Wang Y, Song Y, Duan X, You R, Wang Y. A Miniaturized Wireless Micropump Enabled by Confined Acoustic Streaming. RESEARCH (WASHINGTON, D.C.) 2024; 7:0314. [PMID: 38410278 PMCID: PMC10895488 DOI: 10.34133/research.0314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/18/2024] [Indexed: 02/28/2024]
Abstract
Miniaturization of health care, biomedical, and chemical systems is highly desirable for developing point-of-care testing (POCT) technologies. In system miniaturization, micropumps represent one of the major bottlenecks due to their undesirable pumping performance at such small sizes. Here, we developed a microelectromechanical system fabricated acoustic micropump based on an ultrahigh-frequency bulk acoustic wave resonator. The concept of an inner-boundary-confined acoustic jet was introduced to facilitate unidirectional flow. Benefitting from the high resonant frequency and confined acoustic streaming, the micropump reaches 32.620 kPa/cm3 (pressure/size) and 11.800 ml/min∙cm3 (flow rate/size), showing a 2-order-of-magnitude improvement in the energy transduction efficiency compared with the existing acoustic micropumps. As a proof of concept, the micropump was constructed as a wearable and wirelessly powered integrated drug delivery system with a size of only 9×9×9 mm3 and a weight of 1.16 g. It was demonstrated for ocular disease treatment through animal experimentation and a human pilot test. With superior pumping performance, miniaturized pump size, ultralow power consumption, and complementary metal-oxide-semiconductor compatibility, we expect it to be readily applied to various POCT applications including clinical diagnosis, prognosis, and drug delivery systems.
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Affiliation(s)
- Rui You
- State Key Laboratory of Precision Measuring Technology & Instruments,
Tianjin University, Tianjin 300072, China
| | - Qian Fan
- Tianjin Eye Hospital, Tianjin Key Lab of Ophthalmology and Visual Science, Nankai University Affiliated Eye Hospital, Nankai University Eye Institute, Nankai University, Clinical College of Ophthalmology Tianjin Medical University,
Tianjin Eye Institute, Tianjin 300020, China
| | - Zilun Wang
- State Key Laboratory of Precision Measuring Technology & Instruments,
Tianjin University, Tianjin 300072, China
| | - Wenqiang Xing
- School of Instrument Science and Opto-Electronics Engineering,
Beijing Information Science and Technology University, Beijing 100192, China
- Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100084, China
| | - Yuchuan Wang
- Tianjin Eye Hospital, Tianjin Key Lab of Ophthalmology and Visual Science, Nankai University Affiliated Eye Hospital, Nankai University Eye Institute, Nankai University, Clinical College of Ophthalmology Tianjin Medical University,
Tianjin Eye Institute, Tianjin 300020, China
| | - Yi Song
- Tianjin Eye Hospital, Tianjin Key Lab of Ophthalmology and Visual Science, Nankai University Affiliated Eye Hospital, Nankai University Eye Institute, Nankai University, Clinical College of Ophthalmology Tianjin Medical University,
Tianjin Eye Institute, Tianjin 300020, China
| | - Xuexin Duan
- State Key Laboratory of Precision Measuring Technology & Instruments,
Tianjin University, Tianjin 300072, China
| | - Rui You
- School of Instrument Science and Opto-Electronics Engineering,
Beijing Information Science and Technology University, Beijing 100192, China
- Beijing Advanced Innovation Center for Integrated Circuits, Beijing 100084, China
| | - Yan Wang
- Tianjin Eye Hospital, Tianjin Key Lab of Ophthalmology and Visual Science, Nankai University Affiliated Eye Hospital, Nankai University Eye Institute, Nankai University, Clinical College of Ophthalmology Tianjin Medical University,
Tianjin Eye Institute, Tianjin 300020, China
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9
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Wu L, Xiong J, Xiao G, Ju J, Sun W, Wang W, Ma Y, Ran R, Qiao Y, Li C, Yu L, Lu Z. Smart salt-responsive thread for highly sensitive microfluidic glucose detection in sweat. LAB ON A CHIP 2024; 24:776-786. [PMID: 38197467 DOI: 10.1039/d3lc00975k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Thread-based microfluidic colorimetric sensors have been deemed a potential tool that may be incorporated into textiles for non-invasive sweat analysis. Nevertheless, their poor performance significantly limits their practical uses in sweat glucose detection down to 20 μM. Herein, a microfluidic glucose sensing device containing a salt-responsive thread is developed for the highly sensitive detection of glucose in human sweat. By grafting a zwitterionic polymer brush-which could react to ionic strength by changing the conformation of the polymer chains from the collapsing state to the stretching state-onto the cotton thread, the salt-responsive thread was created. Compared to the pristine cotton thread, the modified thread has better ion-capture capabilities, a more noticeable swelling effect, and a higher ability to absorb water. These enable a significant enrichment of glucose when the saline solution passes through it. The salt-responsive thread was employed to construct a thread/paper-based microfluidic sensing device for the monitoring of glucose in artificial sweat, exhibiting a sensitivity of -0.255 μM-1 and a detection limit of 14.7 μM. In comparison to the pristine cotton thread-based device, the performance is significantly superior. Using a hydrophobic fabric and salt-responsive threads, a glucose-sensing headband was prepared for on-body sweat glucose monitoring. With the use of a smartphone-based image analysis system, the headband can detect the concentration of glucose in a volunteer's perspiration. Using the thread-based salt-responsive zwitterionic polymer brush might offer a novel approach to creating wearable sweat sensors with extremely high sensitivity.
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Affiliation(s)
- Liang Wu
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Jing Xiong
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Gang Xiao
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Jun Ju
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Wei Sun
- Key Laboratory of Laser Technology and Optoelectronic Functional Materials of Hainan Province, College of Chemistry and Chemical Engineering, Hainan Normal University, Haikou 571158, P. R. China
| | - Wei Wang
- Singapore Institute of Manufacturing Technology, Singapore 138669, Singapore
| | - Yan Ma
- College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Ruilong Ran
- College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Yan Qiao
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Changming Li
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215011, P. R. China
| | - Ling Yu
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
| | - Zhisong Lu
- Key Laboratory of Luminescence Analysis and Molecular Sensing, Ministry of Education, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China.
- Institute for Clean Energy & Advanced Materials, School of Materials & Energy, Southwest University, Chongqing 400715, P. R. China
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10
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Watkins Z, McHenry A, Heikenfeld J. Wearing the Lab: Advances and Challenges in Skin-Interfaced Systems for Continuous Biochemical Sensing. ADVANCES IN BIOCHEMICAL ENGINEERING/BIOTECHNOLOGY 2024; 187:223-282. [PMID: 38273210 DOI: 10.1007/10_2023_238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
Continuous, on-demand, and, most importantly, contextual data regarding individual biomarker concentrations exemplify the holy grail for personalized health and performance monitoring. This is well-illustrated for continuous glucose monitoring, which has drastically improved outcomes and quality of life for diabetic patients over the past 2 decades. Recent advances in wearable biosensing technologies (biorecognition elements, transduction mechanisms, materials, and integration schemes) have begun to make monitoring of other clinically relevant analytes a reality via minimally invasive skin-interfaced devices. However, several challenges concerning sensitivity, specificity, calibration, sensor longevity, and overall device lifetime must be addressed before these systems can be made commercially viable. In this chapter, a logical framework for developing a wearable skin-interfaced device for a desired application is proposed with careful consideration of the feasibility of monitoring certain analytes in sweat and interstitial fluid and the current development of the tools available to do so. Specifically, we focus on recent advancements in the engineering of biorecognition elements, the development of more robust signal transduction mechanisms, and novel integration schemes that allow for continuous quantitative analysis. Furthermore, we highlight the most compelling and promising prospects in the field of wearable biosensing and the challenges that remain in translating these technologies into useful products for disease management and for optimizing human performance.
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Affiliation(s)
- Zach Watkins
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA.
| | - Adam McHenry
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA
| | - Jason Heikenfeld
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA
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11
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Yang M, Sun N, Lai X, Zhao X, Zhou W. Advances in Non-Electrochemical Sensing of Human Sweat Biomarkers: From Sweat Sampling to Signal Reading. BIOSENSORS 2023; 14:17. [PMID: 38248394 PMCID: PMC10813192 DOI: 10.3390/bios14010017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 12/19/2023] [Accepted: 12/25/2023] [Indexed: 01/23/2024]
Abstract
Sweat, commonly referred to as the ultrafiltrate of blood plasma, is an essential physiological fluid in the human body. It contains a wide range of metabolites, electrolytes, and other biologically significant markers that are closely linked to human health. Compared to other bodily fluids, such as blood, sweat offers distinct advantages in terms of ease of collection and non-invasive detection. In recent years, considerable attention has been focused on wearable sweat sensors due to their potential for continuous monitoring of biomarkers. Electrochemical methods have been extensively used for in situ sweat biomarker analysis, as thoroughly reviewed by various researchers. This comprehensive review aims to provide an overview of recent advances in non-electrochemical methods for analyzing sweat, including colorimetric methods, fluorescence techniques, surface-enhanced Raman spectroscopy, and more. The review covers multiple aspects of non-electrochemical sweat analysis, encompassing sweat sampling methodologies, detection techniques, signal processing, and diverse applications. Furthermore, it highlights the current bottlenecks and challenges faced by non-electrochemical sensors, such as limitations and interference issues. Finally, the review concludes by offering insights into the prospects for non-electrochemical sensing technologies. By providing a valuable reference and inspiring researchers engaged in the field of sweat sensor development, this paper aspires to foster the creation of innovative and practical advancements in this domain.
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Affiliation(s)
- Mingpeng Yang
- School of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China (X.Z.)
- Jiangsu Collaborative Innovation Centre on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Nan Sun
- School of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China (X.Z.)
| | - Xiaochen Lai
- School of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China (X.Z.)
- Jiangsu Collaborative Innovation Centre on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Xingqiang Zhao
- School of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China (X.Z.)
- Jiangsu Collaborative Innovation Centre on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China
| | - Wangping Zhou
- School of Automation, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China (X.Z.)
- Jiangsu Collaborative Innovation Centre on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, 219 Ningliu Road, Nanjing 210044, China
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12
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Golparvar A, Thenot L, Boukhayma A, Carrara S. Soft Epidermal Paperfluidics for Sweat Analysis by Ratiometric Raman Spectroscopy. BIOSENSORS 2023; 14:12. [PMID: 38248389 PMCID: PMC10812966 DOI: 10.3390/bios14010012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 12/11/2023] [Accepted: 12/19/2023] [Indexed: 01/23/2024]
Abstract
The expanding interest in digital biomarker analysis focused on non-invasive human bodily fluids, such as sweat, highlights the pressing need for easily manufactured and highly efficient soft lab-on-skin solutions. Here, we report, for the first time, the integration of microfluidic paper-based devices (μPAD) and non-enhanced Raman-scattering-enabled optical biochemical sensing (Raman biosensing). Their integration merges the enormous benefits of μPAD, with high potential for commercialization and use in resource-limited settings, with biorecognition-element-free (but highly selective) optical Raman biosensing. The introduced thin (0.36 mm), ultra-lightweight (0.19 g), and compact footprint (3 cm2) opto-paperfluidic sweat patch is flexible, stretchable, and conforms, irritation-free, to hairless or minimally haired body regions to enable swift sweat collection. As a great advantage, this new bio-chemical sensory system excels through its absence of onboard biorecognition elements (bioreceptor-free) and omission of plasmonic nanomaterials. The proposed easy fabrication process is adaptable to mass production by following a fully sustainable and cost-effective process utilizing only basic tools by avoiding typically employed printing or laser patterning. Furthermore, efficient collection and transportation of precise sweat volumes, driven exclusively by the wicking properties of porous materials, shows high efficiency in liquid transportation and reduces biosensing latency by a factor of 5 compared to state-of-the-art epidermal microfluidics. The proposed unit enables electronic chip-free and imaging-less visual sweat loss quantification as well as optical biochemical analysis when coupled with Raman spectroscopy. We investigated the multimodal quantification of sweat urea and lactate levels ex vivo (with syntactic sweat including +30 sweat analytes on porcine skin) and achieved a linear dynamic range from 0 to 100 mmol/L during fully dynamic continuous flow characterization.
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Affiliation(s)
- Ata Golparvar
- Bio/CMOS Interfaces (BCI) Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), 2000 Neuchatel, Switzerland
| | - Lucie Thenot
- Bio/CMOS Interfaces (BCI) Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), 2000 Neuchatel, Switzerland
| | | | - Sandro Carrara
- Bio/CMOS Interfaces (BCI) Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), 2000 Neuchatel, Switzerland
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13
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Yan J, Wu T, Zhang J, Gao Y, Wu JM, Wang S. Revolutionizing the female reproductive system research using microfluidic chip platform. J Nanobiotechnology 2023; 21:490. [PMID: 38111049 PMCID: PMC10729361 DOI: 10.1186/s12951-023-02258-7] [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: 08/19/2023] [Accepted: 12/07/2023] [Indexed: 12/20/2023] Open
Abstract
Comprehensively understanding the female reproductive system is crucial for safeguarding fertility and preventing diseases concerning women's health. With the capacity to simulate the intricate physio- and patho-conditions, and provide diagnostic platforms, microfluidic chips have fundamentally transformed the knowledge and management of female reproductive health, which will ultimately promote the development of more effective assisted reproductive technologies, treatments, and drug screening approaches. This review elucidates diverse microfluidic systems in mimicking the ovary, fallopian tube, uterus, placenta and cervix, and we delve into the culture of follicles and oocytes, gametes' manipulation, cryopreservation, and permeability especially. We investigate the role of microfluidics in endometriosis and hysteromyoma, and explore their applications in ovarian cancer, endometrial cancer and cervical cancer. At last, the current status of assisted reproductive technology and integrated microfluidic devices are introduced briefly. Through delineating the multifarious advantages and challenges of the microfluidic technology, we chart a definitive course for future research in the woman health field. As the microfluidic technology continues to evolve and advance, it holds great promise for revolutionizing the diagnosis and treatment of female reproductive health issues, thus propelling us into a future where we can ultimately optimize the overall wellbeing and health of women everywhere.
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Affiliation(s)
- Jinfeng Yan
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China
- State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
- Engineering Research Center of Ceramic Materials for Additive Manufacturing, Ministry of Education, Wuhan, 430074, China
| | - Tong Wu
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China
| | - Jinjin Zhang
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China
| | - Yueyue Gao
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China
| | - Jia-Min Wu
- State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
- Engineering Research Center of Ceramic Materials for Additive Manufacturing, Ministry of Education, Wuhan, 430074, China.
| | - Shixuan Wang
- National Clinical Research Center for Obstetrical and Gynecological Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095, Jiefang Avenue, Wuhan, 430030, China.
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14
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Saha T, Del Caño R, De la Paz E, Sandhu SS, Wang J. Access and Management of Sweat for Non-Invasive Biomarker Monitoring: A Comprehensive Review. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2023; 19:e2206064. [PMID: 36433842 DOI: 10.1002/smll.202206064] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/07/2022] [Indexed: 06/16/2023]
Abstract
Sweat is an important biofluid presents in the body since it regulates the internal body temperature, and it is relatively easy to access on the skin unlike other biofluids and contains several biomarkers that are also present in the blood. Although sweat sensing devices have recently displayed tremendous progress, most of the emerging devices primarily focus on the sensor development, integration with electronics, wearability, and data from in vitro studies and short-term on-body trials during exercise. To further the advances in sweat sensing technology, this review aims to present a comprehensive report on the approaches to access and manage sweat from the skin toward improved sweat collection and sensing. It is begun by delineating the sweat secretion mechanism through the skin, and the historical perspective of sweat, followed by a detailed discussion on the mechanisms governing sweat generation and management on the skin. It is concluded by presenting the advanced applications of sweat sensing, supported by a discussion of robust, extended-operation epidermal wearable devices aiming to strengthen personalized healthcare monitoring systems.
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Affiliation(s)
- Tamoghna Saha
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
| | - Rafael Del Caño
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
- Department of Physical Chemistry and Applied Thermodynamics, University of Cordoba, Cordoba, E-14014, Spain
| | - Ernesto De la Paz
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
| | - Samar S Sandhu
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
| | - Joseph Wang
- Department of Nanoengineering, University of California San Diego La Jolla, California, CA, 92093, USA
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15
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Shajari S, Kuruvinashetti K, Komeili A, Sundararaj U. The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:9498. [PMID: 38067871 PMCID: PMC10708748 DOI: 10.3390/s23239498] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/20/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023]
Abstract
Disease diagnosis and monitoring using conventional healthcare services is typically expensive and has limited accuracy. Wearable health technology based on flexible electronics has gained tremendous attention in recent years for monitoring patient health owing to attractive features, such as lower medical costs, quick access to patient health data, ability to operate and transmit data in harsh environments, storage at room temperature, non-invasive implementation, mass scaling, etc. This technology provides an opportunity for disease pre-diagnosis and immediate therapy. Wearable sensors have opened a new area of personalized health monitoring by accurately measuring physical states and biochemical signals. Despite the progress to date in the development of wearable sensors, there are still several limitations in the accuracy of the data collected, precise disease diagnosis, and early treatment. This necessitates advances in applied materials and structures and using artificial intelligence (AI)-enabled wearable sensors to extract target signals for accurate clinical decision-making and efficient medical care. In this paper, we review two significant aspects of smart wearable sensors. First, we offer an overview of the most recent progress in improving wearable sensor performance for physical, chemical, and biosensors, focusing on materials, structural configurations, and transduction mechanisms. Next, we review the use of AI technology in combination with wearable technology for big data processing, self-learning, power-efficiency, real-time data acquisition and processing, and personalized health for an intelligent sensing platform. Finally, we present the challenges and future opportunities associated with smart wearable sensors.
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Affiliation(s)
- Shaghayegh Shajari
- Center for Applied Polymers and Nanotechnology (CAPNA), Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, AB T2N1 N4, Canada;
- Center for Bio-Integrated Electronics (CBIE), Querrey Simpson Institute for Bioelectronics (QSIB), Northwestern University, Evanston, IL 60208, USA
| | - Kirankumar Kuruvinashetti
- Intelligent Human and Animal Assistive Devices, Department of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada; (K.K.); (A.K.)
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Amin Komeili
- Intelligent Human and Animal Assistive Devices, Department of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada; (K.K.); (A.K.)
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada
| | - Uttandaraman Sundararaj
- Center for Applied Polymers and Nanotechnology (CAPNA), Department of Chemical and Petroleum Engineering, University of Calgary, Calgary, AB T2N1 N4, Canada;
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16
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Aguilar-Torán J, Rabost-Garcia G, Toinga-Villafuerte S, Álvarez-Carulla A, Colmena-Rubil V, Fajardo-Garcia A, Cardona-Bonet A, Casals-Terré J, Muñoz-Pascual X, Miribel-Català P, Punter-Villagrasa J. Novel Sweat-Based Wearable Device for Advanced Monitoring of Athletic Physiological Biometrics. SENSORS (BASEL, SWITZERLAND) 2023; 23:9473. [PMID: 38067846 PMCID: PMC10708619 DOI: 10.3390/s23239473] [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: 10/12/2023] [Revised: 11/13/2023] [Accepted: 11/17/2023] [Indexed: 12/18/2023]
Abstract
Blood testing has traditionally been the gold standard for the physiological analysis and monitoring of professional athletes. In recent years, blood testing has moved out of the laboratory thanks to portable handheld devices, such as lactate meters. However, despite its usefulness and widespread use, blood testing has several drawbacks and limitations, such as the need for the athlete to stop exercising for blood extraction and the inability to have data continuously collected. In this scenario, sweat has become an alternative to blood testing because of its rich content of electrolytes and metabolites, as well as small quantities of sugars, proteins, and ions. Nevertheless, there are few devices capable of analyzing this biofluid and providing useful information to users. In this paper, an electronic system designed for the autonomous analysis of sweat electrolytes and metabolites along with heart rate dynamics is presented. This system is part of a novel wearable device tailored for athletes that offers to the user a real-time assessment of their physiological status and performance.
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Affiliation(s)
- Javier Aguilar-Torán
- Onalabs Inno-Hub SL, 08290 Cerdanyola del Vallès, Spain
- Department of Electronics and Biomedical Engineering, Barcelona University, 08028 Barcelona, Spain
| | - Genis Rabost-Garcia
- Onalabs Inno-Hub SL, 08290 Cerdanyola del Vallès, Spain
- Department of Mechanical Engineering, Polytechnic University of Catalonia, 08222 Terrassa, Spain
| | | | | | - Valeria Colmena-Rubil
- Onalabs Inno-Hub SL, 08290 Cerdanyola del Vallès, Spain
- Department of Chemistry, Autonomous University of Barcelona, 08193 Cerdanyola del Vallès, Spain
| | | | | | - Jasmina Casals-Terré
- Department of Mechanical Engineering, Polytechnic University of Catalonia, 08222 Terrassa, Spain
| | | | - Pere Miribel-Català
- Department of Electronics and Biomedical Engineering, Barcelona University, 08028 Barcelona, Spain
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Li M, Ding C, Zhang D, Chen W, Yan Z, Chen Z, Guo Z, Guo L, Huang Y. Distinguishable Colorimetric Biosensor for Diagnosis of Prostate Cancer Bone Metastases. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303159. [PMID: 37840414 PMCID: PMC10646272 DOI: 10.1002/advs.202303159] [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: 05/16/2023] [Revised: 08/08/2023] [Indexed: 10/17/2023]
Abstract
Castration-resistant prostate cancer (PCa) causes severe bone metastasis (BM), which significantly increases mortality in men with PCa. Imaging tests and radiometric scanning require long analysis times, expensive equipment, specialized personnel, and a slow turnaround. New visualization technologies are expected to solve the above problems. Nonetheless, existing visualization techniques barely meet the urgency for precise diagnosis because the human eyes cannot recognize and capture even slight variations in visual information. By using dye differentiated superposition enhancement colorimetric biosensors, an effective method to diagnose prostate cancer bone metastases (PCa-BM) with excellent accuracy for naked-eye quantitative detection of alkaline phosphatase (ALP) is developed. The biomarker ALP specific hydrolytic product ascorbic acid can be detected by rhodamine derivatives (Rd) as gold nanobipyramids (Au NBPs) are deposited and grown. Color-recombining enhancement effects between Rd and Au NBPs significantly improved abundance. The 150 U L-1 threshold between normal and abnormal can be identified by color. And with color enhancement effect and double signal response, the ALP index is visually measured to diagnose PCa-BM and provide handy treatment recommendations. Additionally, the proposed colorimetric sensing strategy can be used to diagnose other diseases.
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Affiliation(s)
- Ming Li
- Department of Urology & NephrologyThe First Affiliated Hospital of Ningbo University59 Liuting StreetNingboZhejiang315010China
- College of Material Chemistry and Chemical EngineeringKey Laboratory of Organosilicon Chemistry and Material TechnologyMinistry of EducationKey Laboratory of Organosilicon Material Technology of Zhejiang ProvinceDepartment Hangzhou Normal UniversityHangzhouZhejiang311121China
| | - Caiping Ding
- College of Material Chemistry and Chemical EngineeringKey Laboratory of Organosilicon Chemistry and Material TechnologyMinistry of EducationKey Laboratory of Organosilicon Material Technology of Zhejiang ProvinceDepartment Hangzhou Normal UniversityHangzhouZhejiang311121China
| | - Dong Zhang
- Department of Urology & NephrologyThe First Affiliated Hospital of Ningbo University59 Liuting StreetNingboZhejiang315010China
| | - Weiwei Chen
- College of Material Chemistry and Chemical EngineeringKey Laboratory of Organosilicon Chemistry and Material TechnologyMinistry of EducationKey Laboratory of Organosilicon Material Technology of Zhejiang ProvinceDepartment Hangzhou Normal UniversityHangzhouZhejiang311121China
| | - Zejun Yan
- Department of Urology & NephrologyThe First Affiliated Hospital of Ningbo University59 Liuting StreetNingboZhejiang315010China
| | - Zikang Chen
- College of Material Chemistry and Chemical EngineeringKey Laboratory of Organosilicon Chemistry and Material TechnologyMinistry of EducationKey Laboratory of Organosilicon Material Technology of Zhejiang ProvinceDepartment Hangzhou Normal UniversityHangzhouZhejiang311121China
| | - Zhiyong Guo
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro‐productsState Key Laboratory Base of Novel Functional Materials and Preparation ScienceSchool of Materials Science and Chemical EngineeringNingbo UniversityNingboZhejiang315211China
| | - Longhua Guo
- College of BiologicalChemical Sciences and EngineeringJiaxing UniversityJiaxingZhejiang314001China
| | - Youju Huang
- College of Material Chemistry and Chemical EngineeringKey Laboratory of Organosilicon Chemistry and Material TechnologyMinistry of EducationKey Laboratory of Organosilicon Material Technology of Zhejiang ProvinceDepartment Hangzhou Normal UniversityHangzhouZhejiang311121China
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Clark KM, Ray TR. Recent Advances in Skin-Interfaced Wearable Sweat Sensors: Opportunities for Equitable Personalized Medicine and Global Health Diagnostics. ACS Sens 2023; 8:3606-3622. [PMID: 37747817 PMCID: PMC11211071 DOI: 10.1021/acssensors.3c01512] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Recent advances in skin-interfaced wearable sweat sensors enable the noninvasive, real-time monitoring of biochemical signals associated with health and wellness. These wearable platforms leverage microfluidic channels, biochemical sensors, and flexible electronics to enable the continuous analysis of sweat-based biomarkers such as electrolytes, metabolites, and hormones. As this field continues to mature, the potential of low-cost, continuous personalized health monitoring enabled by such wearable sensors holds significant promise for addressing some of the formidable obstacles to delivering comprehensive medical care in under-resourced settings. This Perspective highlights the transformative potential of wearable sweat sensing for providing equitable access to cutting-edge healthcare diagnostics, especially in remote or geographically isolated areas. It examines the current understanding of sweat composition as well as recent innovations in microfluidic device architectures and sensing strategies by showcasing emerging applications and opportunities for innovation. It concludes with a discussion on expanding the utility of wearable sweat sensors for clinically relevant health applications and opportunities for enabling equitable access to innovation to address existing health disparities.
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Affiliation(s)
- Kaylee M. Clark
- Department of Mechanical Engineering, University of Hawai’i at Mãnoa, Honolulu, HI 96822, USA
| | - Tyler R. Ray
- Department of Mechanical Engineering, University of Hawai’i at Mãnoa, Honolulu, HI 96822, USA
- Department of Cell and Molecular Biology, John. A. Burns School of Medicine, University of Hawai’i at Mãnoa, Honolulu, HI 96813, USA
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19
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Liu R, Shi X. Preparation of β-Cyclodextrin Functionalized Platform for Monitoring Changes in Potassium Content in Perspiration. Molecules 2023; 28:7000. [PMID: 37836843 PMCID: PMC10574319 DOI: 10.3390/molecules28197000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/15/2023] Open
Abstract
The monitoring of potassium ion (K+) levels in human sweat can provide valuable insights into electrolyte balance and muscle fatigue non-invasively. However, existing laboratory techniques for sweat testing are complex, while wearable sensors face limitations like drift, fouling and interference from ions such as Na+. This work develops printed electrodes using β-cyclodextrin functionalized reduced graphene oxide (β-CD-RGO) for selective K+ quantification in sweat. The β-CD prevents the aggregation of RGO sheets while also providing selective binding sites for K+ capture. Electrodes were fabricated by screen printing the β-CD-RGO ink onto conductive carbon substrates. Material characterization confirmed the successful functionalization of RGO with β-CD. Cyclic voltammetry (CV) showed enhanced electrochemical behavior for β-CD-RGO-printed electrodes compared with bare carbon and RGO. Sensor optimization resulted in a formulation with 30% β-CD-RGO loading. The printed electrodes were drop-casted with an ion-selective polyvinyl chloride (PVC) membrane. A linear range from 10 μM to 100 mM was obtained along with a sensitivity of 54.7 mV/decade. The sensor showed good reproducibility over 10 cycles in 10 mM KCl. Minimal interference from 100 mM Na+ and other common sweat constituents validated the sensor's selectivity. On-body trials were performed by mounting the printed electrodes on human subjects during exercise. The K+ levels measured in sweat were found to correlate well with serum analysis, demonstrating the sensor's ability for non-invasive electrolyte monitoring. Overall, the facile synthesis of stable β-CD-RGO inks enables the scalable fabrication of wearable sensors for sweat potassium detection.
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Affiliation(s)
- Ruixiang Liu
- College of Physical Education, Shanxi University, Taiyuan 030006, China;
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20
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Song Y, Wang L, Xu T, Zhang G, Zhang X. Emerging open-channel droplet arrays for biosensing. Natl Sci Rev 2023; 10:nwad106. [PMID: 38027246 PMCID: PMC10662666 DOI: 10.1093/nsr/nwad106] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 11/23/2022] [Accepted: 12/07/2022] [Indexed: 12/01/2023] Open
Abstract
Open-channel droplet arrays have attracted much attention in the fields of biochemical analysis, biofluid monitoring, biomarker recognition and cell interactions, as they have advantages with regard to miniaturization, parallelization, high-throughput, simplicity and accessibility. Such droplet arrays not only improve the sensitivity and accuracy of a biosensor, but also do not require sophisticated equipment or tedious processes, showing great potential in next-generation miniaturized sensing platforms. This review summarizes typical examples of open-channel microdroplet arrays and focuses on diversified biosensing integrated with multiple signal-output approaches (fluorescence, colorimetric, surface-enhanced Raman scattering (SERS), electrochemical, etc.). The limitations and development prospects of open-channel droplet arrays in biosensing are also discussed with regard to the increasing demand for biosensors.
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Affiliation(s)
- Yongchao Song
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
- Intelligent Wearable Engineering Research Center of Qingdao, Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao 266071, China
| | - Lirong Wang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Tailin Xu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Guangyao Zhang
- Intelligent Wearable Engineering Research Center of Qingdao, Research Center for Intelligent and Wearable Technology, College of Textiles and Clothing, State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao 266071, China
| | - Xueji Zhang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
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21
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Skrzetuska E, Szablewska P. Textronic Solutions Used to Produce Layers Sensitive to Chemical Stimuli-Gas Sensors: A Review. MATERIALS (BASEL, SWITZERLAND) 2023; 16:5893. [PMID: 37687586 PMCID: PMC10488809 DOI: 10.3390/ma16175893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/22/2023] [Accepted: 08/24/2023] [Indexed: 09/10/2023]
Abstract
Thanks to the intensive development of textronics, textronic applications are already visible in many areas of everyday life. Many researchers around the world have focused on the invention of textronic systems to increase security, create technological innovations and make everyday life easier and more interesting. Due to the wide use of chemical textile sensors, this review article lists scientific publications covering all types of wearable chemical sensors along with their latest developments. The latest developments from the last few years in moisture, pH, sweat and biomolecules sensors are described. In this review, greatest emphasis and detail was placed on textile gas sensors and their production methods. The use of, among others, graphene and zinc oxide grown on cotton fabric, colorimetric textiles based on halochromic dye, electronic graphene fabric based on lotus fibers and graphene oxide and zinc oxide nanorods were considered. Finally, this article summarizes our current knowledge on gas sensors, compares the detection properties of the presented projects and indicates future directions of development.
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Affiliation(s)
- Ewa Skrzetuska
- Faculty of Material Technologies and Textile Design, Institute of Material Science of Textiles and Polymer Composites, Lodz University of Technology, 116 Żeromskiego Street, 90-924 Lodz, Poland;
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22
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Zhu L, Fu W, Zhu B, Feng Q, Ying X, Li S, Chen J, Xie X, Pan C, Liu J, Chen C, Chen X, Zhu D. An integrated microfluidic electrochemiluminescence device for point-of-care testing of acute myocardial infarction. Talanta 2023; 262:124626. [PMID: 37244239 DOI: 10.1016/j.talanta.2023.124626] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 05/29/2023]
Abstract
Heart-type fatty acid binding protein (H-FABP) is an early biomarker for acute myocardial infarction. The concentration of H-FABP in circulation sharply increases during myocardial injury. Therefore, fast and accurate detection of H-FABP is of vital significance. In this study, we developed an electrochemiluminescence device integrated with microfluidic chip (designed as m-ECL device) for on-site detection of H-FABP. The m-ECL device is consisted of a microfluidic chip that enable easy liquid handling as well as an integrated electronic system for voltage supply and photon detection. A sandwich-type ECL immunoassay strategy was employed for H-FABP detection by using Ru (bpy)32+ loaded mesoporous silica nanoparticles as ECL probes. This device can directly detect H-FABP in human serum without any pre-treatment, with a wide linear range of 1-100 ng/mL and a low limit of detection of 0.72 ng/mL. The clinical usability of this device was evaluated using clinical serum samples from patients. The results obtained from m-ECL device are well matched with those obtained from ELISA assays. We believe this m-ECL device has extensive application prospects for point-of-care testing of acute myocardial infarction.
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Affiliation(s)
- Lihang Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310003, Zhejiang, China; Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, Zhejiang, China
| | - Wenxuan Fu
- Institute of Analytical Chemistry, Department of Chemistry, Key Laboratory of Excited-State Materials of Zhejiang Province, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Boyu Zhu
- Institute of Analytical Chemistry, Department of Chemistry, Key Laboratory of Excited-State Materials of Zhejiang Province, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Qian Feng
- Department of Gastroenterology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, 310006, Zhejiang, China
| | - Xudong Ying
- Institute of Analytical Chemistry, Department of Chemistry, Key Laboratory of Excited-State Materials of Zhejiang Province, Zhejiang University, Hangzhou, 310058, Zhejiang, China
| | - Shuang Li
- Academy of Medical Engineering and Translational Medicine, Tianjin University, 300072, Tianjin, China
| | - Jing Chen
- School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China
| | - Xiaoya Xie
- Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, Zhejiang, China
| | - Chenying Pan
- Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, Zhejiang, China
| | - Jun Liu
- Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, Zhejiang, China
| | - Chao Chen
- GuoZhen Health Technology Co., Ltd, 100142, Beijing, China
| | - Xing Chen
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310003, Zhejiang, China; Department of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education of China, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, Zhejiang, China.
| | - Danhua Zhu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine; Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, 310003, Zhejiang, China.
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23
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Min J, Tu J, Xu C, Lukas H, Shin S, Yang Y, Solomon SA, Mukasa D, Gao W. Skin-Interfaced Wearable Sweat Sensors for Precision Medicine. Chem Rev 2023; 123:5049-5138. [PMID: 36971504 PMCID: PMC10406569 DOI: 10.1021/acs.chemrev.2c00823] [Citation(s) in RCA: 82] [Impact Index Per Article: 82.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
Abstract
Wearable sensors hold great potential in empowering personalized health monitoring, predictive analytics, and timely intervention toward personalized healthcare. Advances in flexible electronics, materials science, and electrochemistry have spurred the development of wearable sweat sensors that enable the continuous and noninvasive screening of analytes indicative of health status. Existing major challenges in wearable sensors include: improving the sweat extraction and sweat sensing capabilities, improving the form factor of the wearable device for minimal discomfort and reliable measurements when worn, and understanding the clinical value of sweat analytes toward biomarker discovery. This review provides a comprehensive review of wearable sweat sensors and outlines state-of-the-art technologies and research that strive to bridge these gaps. The physiology of sweat, materials, biosensing mechanisms and advances, and approaches for sweat induction and sampling are introduced. Additionally, design considerations for the system-level development of wearable sweat sensing devices, spanning from strategies for prolonged sweat extraction to efficient powering of wearables, are discussed. Furthermore, the applications, data analytics, commercialization efforts, challenges, and prospects of wearable sweat sensors for precision medicine are discussed.
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Affiliation(s)
- Jihong Min
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Jiaobing Tu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Changhao Xu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Heather Lukas
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Soyoung Shin
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Yiran Yang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Samuel A. Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Daniel Mukasa
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, 91125, USA
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24
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Qiao Y, Luo J, Cui T, Liu H, Tang H, Zeng Y, Liu C, Li Y, Jian J, Wu J, Tian H, Yang Y, Ren TL, Zhou J. Soft Electronics for Health Monitoring Assisted by Machine Learning. NANO-MICRO LETTERS 2023; 15:66. [PMID: 36918452 PMCID: PMC10014415 DOI: 10.1007/s40820-023-01029-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/05/2023] [Indexed: 06/18/2023]
Abstract
Due to the development of the novel materials, the past two decades have witnessed the rapid advances of soft electronics. The soft electronics have huge potential in the physical sign monitoring and health care. One of the important advantages of soft electronics is forming good interface with skin, which can increase the user scale and improve the signal quality. Therefore, it is easy to build the specific dataset, which is important to improve the performance of machine learning algorithm. At the same time, with the assistance of machine learning algorithm, the soft electronics have become more and more intelligent to realize real-time analysis and diagnosis. The soft electronics and machining learning algorithms complement each other very well. It is indubitable that the soft electronics will bring us to a healthier and more intelligent world in the near future. Therefore, in this review, we will give a careful introduction about the new soft material, physiological signal detected by soft devices, and the soft devices assisted by machine learning algorithm. Some soft materials will be discussed such as two-dimensional material, carbon nanotube, nanowire, nanomesh, and hydrogel. Then, soft sensors will be discussed according to the physiological signal types (pulse, respiration, human motion, intraocular pressure, phonation, etc.). After that, the soft electronics assisted by various algorithms will be reviewed, including some classical algorithms and powerful neural network algorithms. Especially, the soft device assisted by neural network will be introduced carefully. Finally, the outlook, challenge, and conclusion of soft system powered by machine learning algorithm will be discussed.
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Affiliation(s)
- Yancong Qiao
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
| | - Jinan Luo
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Tianrui Cui
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Haidong Liu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Hao Tang
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Yingfen Zeng
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Chang Liu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Yuanfang Li
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - Jinming Jian
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Jingzhi Wu
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China
| | - He Tian
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Yi Yang
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China
| | - Tian-Ling Ren
- School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, 100084, People's Republic of China.
| | - Jianhua Zhou
- School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, 518107, People's Republic of China.
- Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
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25
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Abstract
Flexible sweat sensors have found widespread potential applications for long-term wear and tracking and real-time monitoring of human health. However, the main substrate currently used in common flexible sweat sensors is thin film, which has disadvantages such as poor air permeability and the need for additional wearables. In this Review, the recent progress of sweat sensors has been systematically summarized by the types of monitoring methods of sweat sensors. In addition, this Review introduces and compares the performance of sweat sensors based on thin film and textile substrates such as fiber/yarn. Finally, opportunities and suggestions for the development of flexible sweat sensors are presented by summarizing the integration methods of sensors and human body monitoring sites.
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Affiliation(s)
- Dan Luo
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Haibo Sun
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Qianqian Li
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Xin Niu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Yin He
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
| | - Hao Liu
- School of Textile Science and Engineering, Tiangong University, Tianjin 300387, P. R. China.,Institute of Smart Wearable Electronic Textiles, Tiangong University, Tianjin 300387, P. R. China
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26
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Abstract
Skin-interfaced microfluidic systems help assess health status and chemical exposure.
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Affiliation(s)
- Da Som Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
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27
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Liu D, Liu Z, Feng S, Gao Z, Chen R, Cai G, Bian S. Wearable Microfluidic Sweat Chip for Detection of Sweat Glucose and pH in Long-Distance Running Exercise. BIOSENSORS 2023; 13:157. [PMID: 36831923 PMCID: PMC9953063 DOI: 10.3390/bios13020157] [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: 01/17/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Traditional exercise training monitoring is based on invasive blood testing methods. As sweat can reveal abundant blood-related physiological information about health, wearable sweat sensors have received significant research attention and become increasingly popular in the field of exercise training monitoring. However, most of these sensors are used to measure physical indicators such as heart rate, blood pressure, respiration, etc., demanding a versatile sensor that can detect relevant biochemical indicators in body fluids. In this work, we proposed a wearable microfluidic sweat chip combined with smartphone image processing to realize non-invasive in situ analysis of epidermal sweat for sports practitioners. The polydimethylsiloxane (PDMS) based chip was modified with nonionic surfactants to ensure good hydrophilicity for the automatic collection of sweat. Besides, a simple, reliable, and low-cost paper-based sensor was prepared for high-performance sensing of glucose concentration and pH in sweat. Under optimized conditions, this proposed chip can detect glucose with low concentrations from 0.05 mM to 0.40 mM, with a pH range of 4.0 to 6.5 for human sweat. The ability of this microfluidic chip for human sweat analysis was demonstrated by dynamically tracking the changes in glucose concentration and pH in long-distance running subjects.
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Affiliation(s)
- Dong Liu
- Microfluidics Research & Innovation Laboratory, School of Sport Science, Beijing Sport University, Beijing 100084, China
| | - Zhenyu Liu
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China
| | - Shilun Feng
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Zehang Gao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Department of Clinical Laboratory, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China
| | - Ran Chen
- Microfluidics Research & Innovation Laboratory, School of Sport Science, Beijing Sport University, Beijing 100084, China
- School of Management, Beijing Sport University, Beijing 100084, China
| | - Gaozhe Cai
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Shengtai Bian
- Microfluidics Research & Innovation Laboratory, School of Sport Science, Beijing Sport University, Beijing 100084, China
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28
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Aubry G, Lee HJ, Lu H. Advances in Microfluidics: Technical Innovations and Applications in Diagnostics and Therapeutics. Anal Chem 2023; 95:444-467. [PMID: 36625114 DOI: 10.1021/acs.analchem.2c04562] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Guillaume Aubry
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Hyun Jee Lee
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
| | - Hang Lu
- School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.,Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
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29
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Yoon HJ, Lee G, Kim JT, Yoo JY, Luan H, Cheng S, Kang S, Huynh HLT, Kim H, Park J, Kim J, Kwak SS, Ryu H, Kim J, Choi YS, Ahn HY, Choi J, Oh S, Jung YH, Park M, Bai W, Huang Y, Chamorro LP, Park Y, Rogers JA. Biodegradable, three-dimensional colorimetric fliers for environmental monitoring. SCIENCE ADVANCES 2022; 8:eade3201. [PMID: 36563148 PMCID: PMC9788784 DOI: 10.1126/sciadv.ade3201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 11/16/2022] [Indexed: 06/17/2023]
Abstract
Recently reported winged microelectronic systems offer passive flight mechanisms as a dispersal strategy for purposes in environmental monitoring, population surveillance, pathogen tracking, and other applications. Initial studies indicate potential for technologies of this type, but advances in structural and responsive materials and in aerodynamically optimized geometries are necessary to improve the functionality and expand the modes of operation. Here, we introduce environmentally degradable materials as the basis of 3D fliers that allow remote, colorimetric assessments of multiple environmental parameters-pH, heavy metal concentrations, and ultraviolet exposure, along with humidity levels and temperature. Experimental and theoretical investigations of the aerodynamics of these systems reveal design considerations that include not only the geometries of the structures but also their mass distributions across a range of bioinspired designs. Preliminary field studies that rely on drones for deployment and for remote colorimetric analysis by machine learning interpretation of digital images illustrate scenarios for practical use.
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Affiliation(s)
- Hong-Joon Yoon
- Department of Electronic Engineering, Gachon University, Seongnam-si, Gyeonggi-do 13120, Republic of Korea
| | - Geumbee Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Jin-Tae Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Jae-Young Yoo
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Shyuan Cheng
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Soohyeon Kang
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Huong Le Thien Huynh
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Hyeonsu Kim
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Jaehong Park
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Joohee Kim
- Center for Bionics of Biomedical Research Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Sung Soo Kwak
- Center for Bionics of Biomedical Research Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Hanjun Ryu
- Department of Advanced Materials Engineering, Chung-Ang University, 4726 Seodong-daero, Daedeok-myeon, Anseong-si, Gyeonggi-do 17546, Republic of Korea
| | - Jihye Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Yeon Sik Choi
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Hak-Young Ahn
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Junhwan Choi
- Department of Chemical Engineering, Dankook University, Yongin 16890, Republic of Korea
| | - Seyong Oh
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Yei Hwan Jung
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Minsu Park
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Wubin Bai
- Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Leonardo P. Chamorro
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Yoonseok Park
- Department of Advanced Materials Engineering for Information and Electronics, Kyung Hee University, Yongin 17104, Republic of Korea
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Neurological Surgery, Northwestern University, Evanston, IL 60208, USA
- Feinberg School of Medicine, Northwestern University, Evanston, IL 60208, USA
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30
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Tian Y, Xu G, Cai K, Zhao X, Zhang B, Wang L, Wang T. Emerging biotransduction strategies on soft interfaces for biosensing. NANOSCALE 2022; 15:80-91. [PMID: 36512329 DOI: 10.1039/d2nr05444b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
As a lab-on-soft biochip providing accurate and timely biomarker information, wearable biosensors can satisfy the increasing demand for intelligent e-health services, active disease diagnosis/therapy, and huge bioinformation data. As biomolecules generally could not directly produce detectable signals, biotransducers that specifically convert biomolecules to electrical or optical signals are involved, which determines the pivotal sensing performance including 3S (sensitivity, selectivity, and stability), reversibility, etc. The soft interface poses new requirements for biotransducers, especially equipment-free, facile operation, mechanical tolerance, and high sensing performance. In this review, we discussed the emerging electrochemical and optical biotransduction strategies on wearables from the aspects of the transduction mechanism, amplification strategies, biomaterial selection, and device fabrication procedures. Challenges and perspectives regarding future biotransducers for monitoring trace amounts of biomolecules with high fidelity, sensitivity, and multifunctionality are also discussed. It is expected that through fusion with functional electronics, wearable biosensors can provide possibilities to further decentralize the healthcare system and even build biomolecule-based intelligent cyber-physical systems and new modalities of cyborgs.
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Affiliation(s)
- Yuanyuan Tian
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
- School of Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Guoliang Xu
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| | - Kaiyu Cai
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| | - Xiao Zhao
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| | - Bo Zhang
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
- School of Science, Nanjing University of Posts and Telecommunications, Nanjing, 210023, China
| | - Lianhui Wang
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
| | - Ting Wang
- Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), National Jiangsu Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts and Telecommunications, 9 Wenyuan Road, Nanjing 210023, China.
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31
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Nimbkar S, Leena MM, Moses JA, Anandharamakrishnan C. Microfluidic assessment of nutritional biomarkers: Concepts, approaches and advances. Crit Rev Food Sci Nutr 2022; 64:5113-5127. [PMID: 36503314 DOI: 10.1080/10408398.2022.2150597] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Among various approaches to understand the health status of an individual, nutritional biomarkers can provide valuable information, particularly in terms of deficiencies, if any, and their severity. Commonly, the approach revolves around molecular sciences, and the information gained can support prognosis, diagnosis, remediation, and impact assessment of therapies. Microfluidic platforms can offer benefits of low sample and reagent requirements, low cost, high precision, and lower detection limits, with simplicity in handling and the provision for complete automation and integration with information and communication technologies (ICTs). While several advances are being made, this work details the underlying concepts, with emphasis on different point-of-care devices for the analysis of macro and micronutrient biomarkers. In addition, the scope of using different wearable microfluidic sensors for real-time and noninvasive determination of biomarkers is detailed. While several challenges remain, a strong focus is given on recent advances, presenting the state-of-the-art of this field. With more such biomarkers being discovered and commercialization-driven research, trends indicate the wide prospects of this advancing field in supporting clinicians, food technologists, nutritionists, and others.
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Affiliation(s)
- Shubham Nimbkar
- Computational Modeling and Nanoscale Processing Unit, National Institute of Food Technology, Entrepreneurship and Management, Ministry of Food Processing Industries, Thanjavur, Tamil Nadu, India
| | - M Maria Leena
- Computational Modeling and Nanoscale Processing Unit, National Institute of Food Technology, Entrepreneurship and Management, Ministry of Food Processing Industries, Thanjavur, Tamil Nadu, India
| | - Jeyan Arthur Moses
- Computational Modeling and Nanoscale Processing Unit, National Institute of Food Technology, Entrepreneurship and Management, Ministry of Food Processing Industries, Thanjavur, Tamil Nadu, India
| | - Chinnaswamy Anandharamakrishnan
- Computational Modeling and Nanoscale Processing Unit, National Institute of Food Technology, Entrepreneurship and Management, Ministry of Food Processing Industries, Thanjavur, Tamil Nadu, India
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32
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Lin H, Yu W, Suarez JEDD, Athavan H, Wang Y, Yeung C, Lin S, Sankararaman S, Milla C, Emaminejad S. Autonomous wearable sweat rate monitoring based on digitized microbubble detection. LAB ON A CHIP 2022; 22:4267-4275. [PMID: 36268642 PMCID: PMC9757655 DOI: 10.1039/d2lc00670g] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Advancements in wearable bioanalytical microsystems have enabled diurnal and (semi)continuous monitoring of physiologically-relevant indices that are accessible through probing sweat. To deliver an undistorted and physiologically-meaningful interpretation of these readings, tracking the sweat secretion rate is essential, because it allows for calibrating the biomarker readings against variations in sweat secretion and inferring the body's hydration/electrolyte homeostasis status. To realize an autonomous wearable solution with intrinsically high signal-to-noise ratio sweat rate sensing capabilities, here, we devise a digitized microbubble detection mechanism-delivered by a hybrid microfluidic/electronic system with a compact footprint. This mechanism is based on the intermittent generation of microliter-scale bubbles via electrolysis and the instantaneous measurement of their time-of-flight (and thus, velocity) via impedimetric sensing. In this way, we overcome the limitations of previously proposed sweat rate sensing modalities that are inherently susceptible to non-targeted secretion characteristics (pH, conductivity, and temperature), constrained by volume, or lack system integration for autonomous on-body operation. By deploying our solution in human subject trials, we validate the utility of our solution for seamless monitoring of exercise- and iontophoretically-induced sweat secretion profiles.
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Affiliation(s)
- Haisong Lin
- Interconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA.
- Department of Mechanical Engineering, University of Hong Kong, Hong Kong.
| | - Wenzhuo Yu
- Interconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA.
| | - Jorge Emiliano De Dios Suarez
- Interconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA.
| | - Harish Athavan
- Interconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA.
| | - Yibo Wang
- Interconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA.
| | | | - Shuyu Lin
- Interconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA.
| | | | - Carlos Milla
- Stanford School of Medicine, Stanford University, USA
| | - Sam Emaminejad
- Interconnected & Integrated Bioelectronics Lab (I2BL), Department of Electrical and Computer Engineering, UCLA, USA.
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33
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Wang M, Yang Y, Min J, Song Y, Tu J, Mukasa D, Ye C, Xu C, Heflin N, McCune JS, Hsiai TK, Li Z, Gao W. A wearable electrochemical biosensor for the monitoring of metabolites and nutrients. Nat Biomed Eng 2022; 6:1225-1235. [PMID: 35970928 PMCID: PMC10432133 DOI: 10.1038/s41551-022-00916-z] [Citation(s) in RCA: 182] [Impact Index Per Article: 91.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 06/19/2022] [Indexed: 02/06/2023]
Abstract
Wearable non-invasive biosensors for the continuous monitoring of metabolites in sweat can detect a few analytes at sufficiently high concentrations, typically during vigorous exercise so as to generate sufficient quantity of the biofluid. Here we report the design and performance of a wearable electrochemical biosensor for the continuous analysis, in sweat during physical exercise and at rest, of trace levels of multiple metabolites and nutrients, including all essential amino acids and vitamins. The biosensor consists of graphene electrodes that can be repeatedly regenerated in situ, functionalized with metabolite-specific antibody-like molecularly imprinted polymers and redox-active reporter nanoparticles, and integrated with modules for iontophoresis-based sweat induction, microfluidic sweat sampling, signal processing and calibration, and wireless communication. In volunteers, the biosensor enabled the real-time monitoring of the intake of amino acids and their levels during physical exercise, as well as the assessment of the risk of metabolic syndrome (by correlating amino acid levels in serum and sweat). The monitoring of metabolites for the early identification of abnormal health conditions could facilitate applications in precision nutrition.
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Affiliation(s)
- Minqiang Wang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Yiran Yang
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jihong Min
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Yu Song
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jiaobing Tu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Daniel Mukasa
- Department of Applied Physics and Materials Science, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Cui Ye
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Changhao Xu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Nicole Heflin
- Department of Electrical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Jeannine S McCune
- Department of Hematologic Malignancy Translational Sciences, Beckman Research Institute at City of Hope, Duarte, CA, USA
| | - Tzung K Hsiai
- Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Zhaoping Li
- Division of Clinical Nutrition, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA.
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34
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Xu S, Kim J, Walter JR, Ghaffari R, Rogers JA. Translational gaps and opportunities for medical wearables in digital health. Sci Transl Med 2022; 14:eabn6036. [PMID: 36223451 DOI: 10.1126/scitranslmed.abn6036] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
A confluence of advances in biosensor technologies, enhancements in health care delivery mechanisms, and improvements in machine learning, together with an increased awareness of remote patient monitoring, has accelerated the impact of digital health across nearly every medical discipline. Medical grade wearables-noninvasive, on-body sensors operating with clinical accuracy-will play an increasingly central role in medicine by providing continuous, cost-effective measurement and interpretation of physiological data relevant to patient status and disease trajectory, both inside and outside of established health care settings. Here, we review current digital health technologies and highlight critical gaps to clinical translation and adoption.
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Affiliation(s)
- Shuai Xu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60611, USA.,Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.,Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.,Sibel Health, Niles, IL 60714, USA
| | - Joohee Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60611, USA
| | - Jessica R Walter
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60611, USA.,Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60611, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.,Epicore Biosystems Inc., Cambridge, MA 02139, USA
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60611, USA.,Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.,Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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35
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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: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 09/26/2022] [Accepted: 10/02/2022] [Indexed: 06/16/2023]
Abstract
Sweat analysis offers non-invasive real-time on-body measurement for wearable sensors. However, there are still gaps in current developed sweat-sensing devices (SSDs) regarding the concerns of mixing fresh and old sweat and real-time measurement, which are the requirements to ensure accurate the measurement of wearable devices. This review paper discusses these limitations by aiding model designs, features, performance, and the device operation for exploring the SSDs used in different sweat collection tools, focusing on continuous and non-continuous flow sweat analysis. In addition, the paper also comprehensively presents various sweat biomarkers that have been explored by earlier works in order to broaden the use of non-invasive sweat samples in healthcare and related applications. This work also discusses the target analyte's response mechanism for different sweat compositions, categories of sweat collection devices, and recent advances in SSDs regarding optimal design, functionality, and performance.
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Affiliation(s)
- Nur Fatin Adini Ibrahim
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Norhayati Sabani
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Shazlina Johari
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Asrulnizam Abd Manaf
- Collaborative Microelectronic Design Excellence Centre, Universiti Sains Malaysia, Gelugor 11800, Malaysia
| | - Asnida Abdul Wahab
- Department of Biomedical Engineering and Health Sciences, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
| | - Zulkarnay Zakaria
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Sports Engineering Research Center, Universiti Malaysia Perlis, Arau 02600, Malaysia
| | - Anas Mohd Noor
- Faculty of Electronic Engineering & Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
- Center of Excellance Micro System Technology, Universiti Malaysia Perlis, Arau 02600, Malaysia
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36
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Song H, Shin H, Seo H, Park W, Joo BJ, Kim J, Kim J, Kim HK, Kim J, Park J. Wireless Non-Invasive Monitoring of Cholesterol Using a Smart Contact Lens. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203597. [PMID: 35975449 PMCID: PMC9534953 DOI: 10.1002/advs.202203597] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 08/02/2022] [Indexed: 06/15/2023]
Abstract
Herein, a wireless and soft smart contact lens that enables real-time quantitative recording of cholesterol in tear fluids for the monitoring of patients with hyperlipidemia using a smartphone is reported. This contact lens incorporates an electrochemical biosensor for the continuous detection of cholesterol concentrations, stretchable antenna, and integrated circuits for wireless communication, which makes a smartphone the only device required to operate this lens remotely without obstructing the wearer's vision. The hyperlipidemia rabbit model is utilized to confirm the correlation between cholesterol levels in tear fluid and blood and to confirm the feasibility of this smart contact lens for diagnostic application of cholesterol-related diseases. Further in vivo tests with human subjects demonstrated its good biocompatibility, wearability, and reliability as a non-invasive healthcare device.
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Affiliation(s)
- Hayoung Song
- Department of Materials Science and EngineeringCenter for Nanomedicine Institute for Basic Science (IBS)Yonsei UniversitySeoul03722Republic of Korea
| | - Haein Shin
- Department of Materials Science and EngineeringCenter for Nanomedicine Institute for Basic Science (IBS)Yonsei UniversitySeoul03722Republic of Korea
| | - Hunkyu Seo
- Department of Materials Science and EngineeringCenter for Nanomedicine Institute for Basic Science (IBS)Yonsei UniversitySeoul03722Republic of Korea
| | - Wonjung Park
- Department of Materials Science and EngineeringCenter for Nanomedicine Institute for Basic Science (IBS)Yonsei UniversitySeoul03722Republic of Korea
| | - Byung Jun Joo
- Department of Materials Science and EngineeringCenter for Nanomedicine Institute for Basic Science (IBS)Yonsei UniversitySeoul03722Republic of Korea
| | - Jeongho Kim
- Department of Biomedical ScienceThe Graduate SchoolKyungpook National University680 Gukchebosang‐ro, Jung‐guDaegu41944Republic of Korea
| | - Jeonghyun Kim
- Department of Electronics Convergence EngineeringKwangwoon UniversitySeoul01897Republic of Korea
| | - Hong Kyun Kim
- Department of Biomedical ScienceThe Graduate SchoolKyungpook National University680 Gukchebosang‐ro, Jung‐guDaegu41944Republic of Korea
- Department of OphthalmologyBio‐Medical InstituteSchool of MedicineKyungpook National University Hospital130 Dongdeok‐ro, Jung‐guDaegu41944Republic of Korea
| | - Jayoung Kim
- Department of Medical EngineeringCollege of MedicineYonsei UniversitySeoul03722Republic of Korea
| | - Jang‐Ung Park
- Department of Materials Science and EngineeringCenter for Nanomedicine Institute for Basic Science (IBS)Yonsei UniversitySeoul03722Republic of Korea
- KIURI InstituteYonsei UniversitySeoul03722Republic of Korea
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37
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Ramachandran B, Liao YC. Microfluidic wearable electrochemical sweat sensors for health monitoring. BIOMICROFLUIDICS 2022; 16:051501. [PMID: 36186757 PMCID: PMC9520469 DOI: 10.1063/5.0116648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 08/31/2022] [Indexed: 06/16/2023]
Abstract
Research on remote health monitoring through wearable sensors has attained popularity in recent decades mainly due to aging population and expensive health care services. Microfluidic wearable sweat sensors provide economical, non-invasive mode of sample collection, important physiological information, and continuous tracking of human health. Recent advances in wearable sensors focus on electrochemical monitoring of biomarkers in sweat and can be applicable in various fields like fitness monitoring, nutrition, and medical diagnosis. This review focuses on the evolution of wearable devices from benchtop electrochemical systems to microfluidic-based wearable sensors. Major classification of wearable sensors like skin contact-based and biofluidic-based sensors are discussed. Furthermore, sweat chemistry and related biomarkers are explained in addition to integration of microfluidic systems in wearable sweat sensors. At last, recent advances in wearable electrochemical sweat sensors are discussed, which includes tattoo-based, paper microfluidics, patches, wrist band, and belt-based wearable sensors.
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Affiliation(s)
- Balaji Ramachandran
- Department of Chemical Engineering, National Taiwan University, Taipei 10617, Taiwan
| | - Ying-Chih Liao
- Department of Chemical Engineering, National Taiwan University, Taipei 10617, Taiwan
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38
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Li T, Cheryl Koh JY, Moudgil A, Cao H, Wu X, Chen S, Hou K, Surendran A, Stephen M, Tang C, Wang C, Wang QJ, Tay CY, Leong WL. Biocompatible Ionic Liquids in High-Performing Organic Electrochemical Transistors for Ion Detection and Electrophysiological Monitoring. ACS NANO 2022; 16:12049-12060. [PMID: 35939084 DOI: 10.1021/acsnano.2c02191] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Organic electrochemical transistors (OECTs) have recently attracted attention due to their high transconductance and low operating voltage, which makes them ideal for a wide range of biosensing applications. Poly-3,4-ethylenedioxythiophene:poly-4-styrenesulfonate (PEDOT:PSS) is a typical material used as the active channel layer in OECTs. Pristine PEDOT:PSS has poor electrical conductivity, and additives are typically introduced to improve its conductivity and OECT performance. However, these additives are mostly either toxic or not proven to be biocompatible. Herein, a biocompatible ionic liquid [MTEOA][MeOSO3] is demonstrated to be an effective additive to enhance the performance of PEDOT:PSS-based OECTs. The influence of [MTEOA][MeOSO3] on the conductivity, morphology, and redox process of PEDOT:PSS is investigated. The PEDOT:PSS/[MTEOA][MeOSO3]-based OECT exhibits high transconductance (22.3 ± 4.5 mS μm-1), high μC* (the product of mobility μ and volumetric capacitance C*) (283.80 ± 29.66 F cm-1 V-1 s-1), fast response time (∼40.57 μs), and excellent switching cyclical stability. Next, the integration of sodium (Na+) and potassium (K+) ion-selective membranes with the OECTs is demonstrated, enabling selective ion detection in the physiological range. In addition, flexible OECTs are designed for electrocardiography (ECG) signal acquisition. These OECTs have shown robust performance against physical deformation and successfully recorded high-quality ECG signals.
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Affiliation(s)
- Ting Li
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Jie Yan Cheryl Koh
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
- Environmental Chemistry and Materials Centre and Nanyang Environment and Water Research Institute, Nanyang Technological University, 1 Cleantech Loop, Singapore 637141
| | - Akshay Moudgil
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Huan Cao
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Xihu Wu
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Shuai Chen
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Kunqi Hou
- School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371
| | - Abhijith Surendran
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Meera Stephen
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Cindy Tang
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Chongwu Wang
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
| | - Qi Jie Wang
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
- School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371
| | - Chor Yong Tay
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
- Environmental Chemistry and Materials Centre and Nanyang Environment and Water Research Institute, Nanyang Technological University, 1 Cleantech Loop, Singapore 637141
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 637551
| | - Wei Lin Leong
- School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
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Mertz L. Detecting Ion Levels, Changes to Monitor Health. IEEE Pulse 2022; 13:14-19. [PMID: 36044473 DOI: 10.1109/mpuls.2022.3191445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Ions can say a lot about a baby's health. High levels of chloride in sweat can indicate cystic fibrosis (CF), a disorder that causes respiratory and digestive problems; abnormal sodium levels are signs of increased risk for seizure or muscle problems; and too-high or too-low potassium concentrations can cause heart arrhythmias or other muscle issues. These ions-commonly called electrolytes- are also important throughout life. For instance, too much or too little sodium can lead to confusion, seizures, and muscle weakness or cramping.
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