1
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Yang K, Wang R, Lu J, Wang J, Liao X, Wang C. A covalent organic framework nanosheet-nanochannel composite with signal amplification strategy for electrochemical enantioselective recognition. Talanta 2024; 277:126331. [PMID: 38823324 DOI: 10.1016/j.talanta.2024.126331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 05/18/2024] [Accepted: 05/27/2024] [Indexed: 06/03/2024]
Abstract
Recognition and separation of chiral isomers are of great importance in both industrial and biological applications. However, owing to identical molecular formulas and chemical properties of enantiomers, signal transduction and amplification are still two major challenges in chiral sensing. In this study, we developed an enantioselective device by integrating chiral covalent organic framework nanosheets (CONs) with nanochannels for sensitive identification and quantification of enantiomers. Using 3,4-dihydroxyphenylalanine (DOPA) as the model analyte, the as-prepared chiral nanofluidic device exhibits a remarkable chiral recognition ability to l-DOPA than d-DOPA. More importantly, due to the chelation of DOPA with Fe3+ ions, it can efficiently block the ion transport through channel and shield the channel surface charge, which will amplify the difference in the electrochemical response of l-DOPA and d-DOPA. Therefore, a sensitive chiral recognition can be achieved using the present nanofluidic device coupled using electrochemical amplification strategy. Notably, using this method, an ultra-low concentration of l-DOPA (as low as 0.21 pM) can be facilely and successfully detected with a linear range of 1 pM-10 μM. This study provides a reliable and sensitive approach for achieving highly selective detection of chiral molecules.
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Affiliation(s)
- Kun Yang
- Jiangsu Key Laboratory of Biofunctional Materials, Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of New Power Batteries, College of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Ruyi Wang
- Jiangsu Key Laboratory of Biofunctional Materials, Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of New Power Batteries, College of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Junjian Lu
- Jiangsu Key Laboratory of Biofunctional Materials, Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of New Power Batteries, College of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China; Honors college, Nanjing Normal University, Nanjing, 210023, China
| | - Jin Wang
- Jiangsu Key Laboratory of Biofunctional Materials, Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of New Power Batteries, College of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China
| | - Xuewei Liao
- Jiangsu Key Laboratory of Biofunctional Materials, Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of New Power Batteries, College of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China; Analytical & Testing Center, Nanjing Normal University, Nanjing, 210023, China.
| | - Chen Wang
- Jiangsu Key Laboratory of Biofunctional Materials, Jiangsu Collaborative Innovation Center of Biomedical Functional Materials, Jiangsu Key Laboratory of New Power Batteries, College of Chemistry and Materials Science, Nanjing Normal University, Nanjing, 210023, China.
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2
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Peng HL, Zhang Y, Liu H, Gao C. Flexible Wearable Electrochemical Sensors Based on AuNR/PEDOT:PSS for Simultaneous Monitoring of Levodopa and Uric Acid in Sweat. ACS Sens 2024; 9:3296-3306. [PMID: 38829039 DOI: 10.1021/acssensors.4c00649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
As a facile substitute for the invasive technique of blood testing, wearable electrochemical sensors exhibit high potential for the noninvasive and real-time monitoring of biomarkers in human sweat. However, owing to enzyme specificity, the simultaneous detection of multiple biomarkers by enzymatic analysis is challenging. Moreover, sweat accumulation under sensors causes sweat contamination, which hinders real-time biomarker detection from sweat. This study reports the design and fabrication of flexible wearable electrochemical sensors containing a composite comprising Au nanorods (AuNRs) and poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) for the nonenzymatic detection of levodopa (LD) and uric acid (UA) in sweat. Each sensor was integrated with a flexible three-electrode system and a microfluidic patch for sweat sampling. AuNRs immobilized by PEG-doped PEDOT:PSS showed excellent analytical performance for LD and UA at different potentials. Thus, the newly fabricated sensors could detect LD and UA over a broad detection range with high sensitivity and showed a low limit of detection for both species. On-body assessments confirmed the ability of these sensors to simultaneously detect LD and UA in real time. Therefore, this study could open new frontiers in the fabrication of wearable electrochemical sensors for the pharmacokinetic profile tracking of LD and gout management.
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Affiliation(s)
- Hui-Ling Peng
- Key Laboratory of Integrated Circuits and Microsystems (Guangxi Normal University), Education Department of Guangxi Zhuang Autonomous Region, School of Electronic and Information Engineering/School of Integrated Circuits, Guangxi Normal University, Guilin 541004, People's Republic of China
| | - Yongqi Zhang
- Key Laboratory of Integrated Circuits and Microsystems (Guangxi Normal University), Education Department of Guangxi Zhuang Autonomous Region, School of Electronic and Information Engineering/School of Integrated Circuits, Guangxi Normal University, Guilin 541004, People's Republic of China
| | - Huihui Liu
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Collaborative Innovation Center for Guangxi Ethnic Medicine, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, People's Republic of China
| | - Cunji Gao
- State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Collaborative Innovation Center for Guangxi Ethnic Medicine, School of Chemistry and Pharmaceutical Sciences, Guangxi Normal University, Guilin 541004, People's Republic of China
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3
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Ma S, Wan Z, Wang C, Song Z, Ding Y, Zhang D, Chan CLJ, Shu L, Huang L, Yang Z, Wang F, Bai J, Fan Z, Lin Y. Ultra-Sensitive and Stable Multiplexed Biosensors Array in Fully Printed and Integrated Platforms for Reliable Perspiration Analysis. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2311106. [PMID: 38388858 DOI: 10.1002/adma.202311106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/08/2024] [Indexed: 02/24/2024]
Abstract
Electrochemical biosensors have emerged as one of the promising tools for tracking human body physiological dynamics via non-invasive perspiration analysis. However, it remains a key challenge to integrate multiplexed sensors in a highly controllable and reproducible manner to achieve long-term reliable biosensing, especially on flexible platforms. Herein, a fully inkjet printed and integrated multiplexed biosensing patch with remarkably high stability and sensitivity is reported for the first time. These desirable characteristics are enabled by the unique interpenetrating interface design and precise control over active materials mass loading, owing to the optimized ink formulations and droplet-assisted printing processes. The sensors deliver sensitivities of 313.28 µA mm-1 cm-2 for glucose and 0.87 µA mm-1 cm-2 for alcohol sensing with minimal drift over 30 h, which are among the best in the literature. The integrated patch can be used for reliable and wireless diet monitoring or medical intervention via epidermal analysis and would inspire the advances of wearable devices for intelligent healthcare applications.
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Affiliation(s)
- Suman Ma
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
- Department of Materials Science and Engineering, Shenzhen Key Laboratory of Full Spectral Solar Electricity Generation (FSSEG), Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhu'an Wan
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Chen Wang
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Zhilong Song
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
- Key Laboratory of Zhenjiang, Institute for Energy Research, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Yucheng Ding
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Daquan Zhang
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Chak Lam Jonathan Chan
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Lei Shu
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Liting Huang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhensen Yang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Fei Wang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Jiaming Bai
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 000000, China
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
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Zhang JY, Zhang Y, Zou Y, Xu ZLB, Zhang B, Ren W. Physicochemically modulated fluorescence-scattering ratiometric sensor for selective and visual detection of levodopa. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 308:123746. [PMID: 38091648 DOI: 10.1016/j.saa.2023.123746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 11/08/2023] [Accepted: 12/08/2023] [Indexed: 01/13/2024]
Abstract
In this study, a facile fluorescence-scattering ratiometric sensor was designed for visual and selective detection of levodopa (LD) via a clever physicochemical modulation scheme. The alkalized products of LD can rapidly react with polyethyleneimine (PEI) to exhibit an intense blue fluorescence and decrease the second-order scattering (SOS) signal of PEI. As the concentration of LD increased, the fluorescence intensity at 420 nm increased and the SOS intensity at 675 nm decreased synchronously. Thus the fluorescence-scattering ratiometric sensor was constructed by virtue of the two simultaneously changed signals. Furthermore, red light-emitting Au nanoclusters (AuNCs) were added into the above mixture solution to enlarge the SOS signal and provide a stable red background fluorescence. The intensity ratio of fluorescence to SOS (F/(S/Sblank)) is linear dependent on CLD in the wide range of 50.0---30000.0 nM, and LD as low as 50.0 nM can be identified with the naked eye via change of fluorescence color. The developed ratiometric sensor is smart, simple and efficient, and has been applied to the convenient assay of LD in real samples. The proposed physicochemical modulation strategy provides a new and facile path for selectively and visually identifying the target from its analogues.
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Affiliation(s)
- Jin Yuan Zhang
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong 643000, PR China
| | - Ying Zhang
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong 643000, PR China.
| | - Yu Zou
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong 643000, PR China
| | - Ze Li Bo Xu
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong 643000, PR China
| | - Bo Zhang
- Clinical Lab, Zigong Maternal and Child Health Hospital, Zigong 643000, PR China
| | - Wang Ren
- College of Chemistry and Environmental Engineering, Sichuan University of Science and Engineering, Zigong 643000, PR China.
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5
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Singh R, Gupta R, Bansal D, Bhateria R, Sharma M. A Review on Recent Trends and Future Developments in Electrochemical Sensing. ACS OMEGA 2024; 9:7336-7356. [PMID: 38405479 PMCID: PMC10882602 DOI: 10.1021/acsomega.3c08060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 01/07/2024] [Accepted: 01/12/2024] [Indexed: 02/27/2024]
Abstract
Electrochemical methods and devices have ignited prodigious interest for sensing and monitoring. The greatest challenge for science is far from meeting the expectations of consumers. Electrodes made of two-dimensional (2D) materials such as graphene, metal-organic frameworks, MXene, and transition metal dichalcogenides as well as alternative electrochemical sensing methods offer potential to improve selectivity, sensitivity, detection limit, and response time. Moreover, these advancements have accelerated the development of wearable and point-of-care electrochemical sensors, opening new possibilities and pathways for their applications. This Review presents a critical discussion of the recent developments and trends in electrochemical sensing.
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Affiliation(s)
- Rimmy Singh
- Department of Applied Science & Humanities, DPG Institute of Technology and Management, Gurugram 122004, India
| | - Ruchi Gupta
- School of Chemistry, University of Birmingham, Birmingham B15 2TT, U.K
| | | | - Rachna Bhateria
- Department of Environmental Science, Maharshi Dayanand University, Rohtak 124001, India
| | - Mona Sharma
- Department of Environmental Studies, Central University of Haryana, Mahendergarh 123031, India
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6
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Tian H, Ma J, Li Y, Xiao X, Zhang M, Wang H, Zhu N, Hou C, Ulstrup J. Electrochemical sensing fibers for wearable health monitoring devices. Biosens Bioelectron 2024; 246:115890. [PMID: 38048721 DOI: 10.1016/j.bios.2023.115890] [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: 09/07/2023] [Revised: 11/17/2023] [Accepted: 11/25/2023] [Indexed: 12/06/2023]
Abstract
Real-time monitoring of health conditions is an emerging strong issue in health care, internet information, and other strongly evolving areas. Wearable electronics are versatile platforms for non-invasive sensing. Among a variety of wearable device principles, fiber electronics represent cutting-edge development of flexible electronics. Enabled by electrochemical sensing, fiber electronics have found a wide range of applications, providing new opportunities for real-time monitoring of health conditions by daily wearing, and electrochemical fiber sensors as explored in the present report are a promising emerging field. In consideration of the key challenges and corresponding solutions for electrochemical sensing fibers, we offer here a timely and comprehensive review. We discuss the principles and advantages of electrochemical sensing fibers and fabrics. Our review also highlights the importance of electrochemical sensing fibers in the fabrication of "smart" fabric designs, focusing on strategies to address key issues in fiber-based electrochemical sensors, and we provide an overview of smart clothing systems and their cutting-edge applications in therapeutic care. Our report offers a comprehensive overview of current developments in electrochemical sensing fibers to researchers in the fields of wearables, flexible electronics, and electrochemical sensing, stimulating forthcoming development of next-generation "smart" fabrics-based electrochemical sensing.
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Affiliation(s)
- Hang Tian
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, PR China
| | - Junlin Ma
- School of Chemistry, Dalian University of Technology, Dalian, Liaoning, 116024, PR China
| | - Yaogang Li
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, PR China.
| | - Xinxin Xiao
- Department of Chemistry and Bioscience, Aalborg University, 9220, Aalborg, Denmark.
| | - Minwei Zhang
- Xinjiang Key Laboratory of Biological Resources and Gentic Engineering, College of Life Science & Technology, Xinjiang University, Urumqi, 830046, PR China
| | - Hongzhi Wang
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, PR China
| | - Nan Zhu
- School of Chemistry, Dalian University of Technology, Dalian, Liaoning, 116024, PR China.
| | - Chengyi Hou
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, PR China.
| | - Jens Ulstrup
- Department of Chemistry, Technical University of Denmark, Kongens Lyngby, 2800, Denmark.
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7
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Gong S, Lu Y, Yin J, Levin A, Cheng W. Materials-Driven Soft Wearable Bioelectronics for Connected Healthcare. Chem Rev 2024; 124:455-553. [PMID: 38174868 DOI: 10.1021/acs.chemrev.3c00502] [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: 01/05/2024]
Abstract
In the era of Internet-of-things, many things can stay connected; however, biological systems, including those necessary for human health, remain unable to stay connected to the global Internet due to the lack of soft conformal biosensors. The fundamental challenge lies in the fact that electronics and biology are distinct and incompatible, as they are based on different materials via different functioning principles. In particular, the human body is soft and curvilinear, yet electronics are typically rigid and planar. Recent advances in materials and materials design have generated tremendous opportunities to design soft wearable bioelectronics, which may bridge the gap, enabling the ultimate dream of connected healthcare for anyone, anytime, and anywhere. We begin with a review of the historical development of healthcare, indicating the significant trend of connected healthcare. This is followed by the focal point of discussion about new materials and materials design, particularly low-dimensional nanomaterials. We summarize material types and their attributes for designing soft bioelectronic sensors; we also cover their synthesis and fabrication methods, including top-down, bottom-up, and their combined approaches. Next, we discuss the wearable energy challenges and progress made to date. In addition to front-end wearable devices, we also describe back-end machine learning algorithms, artificial intelligence, telecommunication, and software. Afterward, we describe the integration of soft wearable bioelectronic systems which have been applied in various testbeds in real-world settings, including laboratories that are preclinical and clinical environments. Finally, we narrate the remaining challenges and opportunities in conjunction with our perspectives.
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Affiliation(s)
- Shu Gong
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Yan Lu
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Jialiang Yin
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Arie Levin
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
| | - Wenlong Cheng
- Department of Chemical & Biological Engineering, Monash University, Clayton, Victoria 3800, Australia
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8
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Rodríguez MÁ, Crespo I, Guerra B, Del Valle M, Olmedillas H. Tailored Exercise Prescription According to Pharmacokinetic Compatibility: A New Horizon in Precision Medicine? Curr Sports Med Rep 2024; 23:4-6. [PMID: 38180069 DOI: 10.1249/jsr.0000000000001129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Affiliation(s)
| | | | - Borja Guerra
- Molecular and Translational Pharmacology Lab, Institute for Biomedical and Health Research (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, SPAIN
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9
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Xu C, Solomon SA, Gao W. Artificial Intelligence-Powered Electronic Skin. NAT MACH INTELL 2023; 5:1344-1355. [PMID: 38370145 PMCID: PMC10868719 DOI: 10.1038/s42256-023-00760-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 10/18/2023] [Indexed: 02/20/2024]
Abstract
Skin-interfaced electronics is gradually changing medical practices by enabling continuous and noninvasive tracking of physiological and biochemical information. With the rise of big data and digital medicine, next-generation electronic skin (e-skin) will be able to use artificial intelligence (AI) to optimize its design as well as uncover user-personalized health profiles. Recent multimodal e-skin platforms have already employed machine learning (ML) algorithms for autonomous data analytics. Unfortunately, there is a lack of appropriate AI protocols and guidelines for e-skin devices, resulting in overly complex models and non-reproducible conclusions for simple applications. This review aims to present AI technologies in e-skin hardware and assess their potential for new inspired integrated platform solutions. We outline recent breakthroughs in AI strategies and their applications in engineering e-skins as well as understanding health information collected by e-skins, highlighting the transformative deployment of AI in robotics, prosthetics, virtual reality, and personalized healthcare. We also discuss the challenges and prospects of AI-powered e-skins as well as predictions for the future trajectory of smart e-skins.
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Affiliation(s)
- Changhao Xu
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Samuel A. Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
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10
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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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11
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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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12
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Peng HF, Chang CK, Gupta R, Huang JJ. Monitoring levodopa oxidation and reduction reactions using surface plasmon resonance on a nanohole array electrode. DISCOVER NANO 2023; 18:145. [PMID: 38015329 PMCID: PMC10684436 DOI: 10.1186/s11671-023-03930-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 11/23/2023] [Indexed: 11/29/2023]
Abstract
The traditional method of monitoring the oxidation and reduction of biomedical materials usually relies on electrochemical (EC) measurement techniques. Here, we demonstrate a surface plasmon resonance (SPR) method to monitor the oxidation process. Using levodopa L-dopa as the target analyte, a nanohole sensing plate is embedded in the EC electrode to enhance the oxidation signal and generate SPR. Cyclic voltammetry (CV) measurement was first conducted to understand the baseline of EC response of L-Dopa. Then, the redox reactions were simultaneously monitored through SPR measurements during the CV voltage scan. The results showed that the limit of detection using traditional CV reached 1.47 μM while using EC-SPR, the limit of detection improved to 1.23 μM. Most importantly, we found a strong correlation between CV current profiles and the SPR reflection spectra. Our results facilitate detecting electrochemical reactions using an optical probing method.
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Affiliation(s)
- Hao-Fang Peng
- Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, 10617, Taiwan
| | - Chih-Kang Chang
- Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, 10617, Taiwan
| | - Rohit Gupta
- Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, 10617, Taiwan
| | - Jian-Jang Huang
- Graduate Institute of Photonics and Optoelectronics, National Taiwan University, Taipei, 10617, Taiwan.
- Department of Electrical Engineering, National Taiwan University, Taipei, 10617, Taiwan.
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13
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Luo Y, Wu S, Xiang X, Shu J, Fei J. Fabricating process-electrochemical property correlation of laser-scribed graphene and smartphone-based electrochemical platform for portable and sensitive biosensing. Biosens Bioelectron 2023; 237:115525. [PMID: 37442032 DOI: 10.1016/j.bios.2023.115525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/01/2023] [Accepted: 07/07/2023] [Indexed: 07/15/2023]
Abstract
Laser-scribed graphene (LSG), a promising electrode material has attracted special research interest in recent years. Here, the fabricating process-electrochemical property correlation of laser-scribed graphene (LSG) devices was discussed emphatically and a pertinent optimization was performed to achieve better electroanalytical performance. Experiment results indicated that the laser scribing technique possessed great process latitude and reducing laser power and scribing speed facilitated fabricating high-quality graphene electrodes. Benefiting from its binder-free 3D porous network structure and high active/geometric area ratio, the optimized LSG electrode was superior to the screen-printed carbon electrode (SPCE) on electrochemical performance in the [Fe(CN)6]3-/4- redox system. Integrating the LSG electrode with a homemade hand-held detector, a portable electrochemical sensing platform with smartphone readout was developed. It realized a specific detection of H2O2 (linear range: 0.02-3.4 mM, sensitivity: 24.56 μA mM-1 cm-2), glucose (linear range: 0.04-4.0 mM, sensitivity: 16.35 μA mM-1 cm-2) by directly decorating biological enzymes without artificial redox mediator and featured a satisfactory comprehensive performance. The constructed immunosensor for tumor necrosis factor-α exhibited a wide linear range (2-500 pg mL-1) and a 4.3-fold enhancement in sensitivity compared with that of SPCE. With satisfactory selectivity, reproducibility, and sensitivity, the developed smartphone-based electrochemical sensing platform held great promise in accurate detection on the spot. This work also provided a significant reference for tailoring binder-free carbonaceous electrode materials toward the desired application.
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Affiliation(s)
- Yiming Luo
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, China
| | - Sirui Wu
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, China
| | - Xinyue Xiang
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, China
| | - Jian Shu
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, China; Foshan Green Intelligent Manufacturing Research Institute of Xiangtan University, Guangdong, 528311, China.
| | - Junjie Fei
- Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan, 411105, China; Key Laboratory of Environmentally Friendly Chemistry and Applications of Ministry of Education, College of Chemistry, Xiangtan University, Xiangtan, 411105, China.
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14
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Tao Q, Liu S, Zhang J, Jiang J, Jin Z, Huang Y, Liu X, Lin S, Zeng X, Li X, Tao G, Chen H. Clinical applications of smart wearable sensors. iScience 2023; 26:107485. [PMID: 37636055 PMCID: PMC10448028 DOI: 10.1016/j.isci.2023.107485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/29/2023] Open
Abstract
Smart wearable sensors are electronic devices worn on the body that collect, process, and transmit various physiological data. Compared to traditional devices, their advantages in terms of portability and comfort have made them increasingly important in the medical field. This review takes a unique clinical physician's standpoint, diverging from conventional sensor-type-based classifications, and provides a comprehensive overview of the diverse clinical applications of wearable sensors in recent years. In this review, we categorize these applications according to different diseases, encompassing skin diseases and injuries, cardiovascular diseases, abnormal human motion, as well as endocrine and metabolic disorders. Additionally, we discuss the challenges and perspectives hindering the development of sensors for clinical use, emphasizing the critical need for interdisciplinary collaboration between medical and engineering professionals. Overall, this review would serve as an important reference for the future direction of sensor devices in clinical use.
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Affiliation(s)
- Qingxiao Tao
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Suwen Liu
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Jingyu Zhang
- Department of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen 518052, China
- Shenzhen University Medical School, Shenzhen 518060, China
| | - Jian Jiang
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Zilin Jin
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Yuqiong Huang
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Xin Liu
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Shiying Lin
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Xin Zeng
- Department of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen 518052, China
| | - Xuemei Li
- Department of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen 518052, China
| | - Guangming Tao
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
- State Key Laboratory of Material Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Hongxiang Chen
- Department of Dermatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
- Department of Dermatology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen 518052, China
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15
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Glasco DL, Sheelam A, Ho NHB, Bell JG. Smartphone-based detection of levodopa in human sweat using 3D printed sensors. Anal Chim Acta 2023; 1273:341546. [PMID: 37423672 DOI: 10.1016/j.aca.2023.341546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/08/2023] [Accepted: 06/20/2023] [Indexed: 07/11/2023]
Abstract
Parkinson's disease (PD) is one of the leading neurological disorders negatively impacting health on a global scale. Patients diagnosed with PD require frequent monitoring, prescribed medications, and therapy for extended periods as symptom severity worsens. The primary pharmaceutical treatment for PD patients is levodopa (L-Dopa) which reduces many symptoms experienced by PD patients (e.g., tremors, cognitive ability, motor dysfunction, etc.) through the regulation of dopamine levels in the body. Herein, the first detection of L-Dopa in human sweat using a low-cost 3D printed sensor with a simple and rapid fabrication protocol combined with a portable potentiostat wirelessly connected to a smartphone via Bluetooth is reported. By combining saponification and electrochemical activation into a single protocol, the optimized 3D printed carbon electrodes were able to simultaneously detect uric acid and L-Dopa throughout their biologically relevant ranges. The optimized sensors provided a sensitivity of 83 ± 3 nA/μM from 24 μM to 300 nM L-Dopa. Common physiological interferents found in sweat (e.g., ascorbic acid, glucose, caffeine) showed no influence on the response for L-Dopa. Lastly, a percent recovery of L-Dopa in human sweat using a smartphone-assisted handheld potentiostat resulted in the recovery of 100 ± 8%, confirming the ability of this sensor to accurately detect L-Dopa in sweat.
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Affiliation(s)
- Dalton L Glasco
- Department of Chemistry, Washington State University, Pullman, WA, 99163, USA
| | - Anjaiah Sheelam
- Department of Chemistry, Washington State University, Pullman, WA, 99163, USA
| | - Nguyen H B Ho
- Department of Chemistry, Washington State University, Pullman, WA, 99163, USA
| | - Jeffrey G Bell
- Department of Chemistry, Washington State University, Pullman, WA, 99163, USA.
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16
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Khaleque MA, Hossain MI, Ali MR, Bacchu MS, Saad Aly MA, Khan MZH. Nanostructured wearable electrochemical and biosensor towards healthcare management: a review. RSC Adv 2023; 13:22973-22997. [PMID: 37529357 PMCID: PMC10387826 DOI: 10.1039/d3ra03440b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 06/29/2023] [Indexed: 08/03/2023] Open
Abstract
In recent years, there has been a rapid increase in demand for wearable sensors, particularly these tracking the surroundings, fitness, and health of people. Thus, selective detection in human body fluid is a demand for a smart lifestyle by quick monitoring of electrolytes, drugs, toxins, metabolites and biomolecules, proteins, and the immune system. In this review, these parameters along with the main features of the latest and mostly cited research work on nanostructured wearable electrochemical and biosensors are surveyed. This study aims to help researchers and engineers choose the most suitable selective and sensitive sensor. Wearable sensors have broad and effective sensing platforms, such as contact lenses, Google Glass, skin-patch, mouth gourds, smartwatches, underwear, wristbands, and others. For increasing sensor reliability, additional advancements in electrochemical and biosensor precision, stability in uncontrolled environments, and reproducible sample conveyance are necessary. In addition, the optimistic future of wearable electrochemical sensors in fields, such as remote and customized healthcare and well-being is discussed. Overall, wearable electrochemical and biosensing technologies hold great promise for improving personal healthcare and monitoring performance with the potential to have a significant impact on daily lives. These technologies enable real-time body sensing and the communication of comprehensive physiological information.
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Affiliation(s)
- M A Khaleque
- Dept. of Chemical Engineering, Jashore University of Science and Technology Jashore 7408 Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology Jashore 7408 Bangladesh
| | - M I Hossain
- Dept. of Chemical Engineering, Jashore University of Science and Technology Jashore 7408 Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology Jashore 7408 Bangladesh
| | - M R Ali
- Dept. of Chemical Engineering, Jashore University of Science and Technology Jashore 7408 Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology Jashore 7408 Bangladesh
| | - M S Bacchu
- Dept. of Chemical Engineering, Jashore University of Science and Technology Jashore 7408 Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology Jashore 7408 Bangladesh
| | - M Aly Saad Aly
- Department of Electrical and Computer Engineering at Georgia Tech Shenzhen Institute (GTSI), Tianjin University Shenzhen Guangdong 518055 China
| | - M Z H Khan
- Dept. of Chemical Engineering, Jashore University of Science and Technology Jashore 7408 Bangladesh
- Laboratory of Nano-bio and Advanced Materials Engineering (NAME), Jashore University of Science and technology Jashore 7408 Bangladesh
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17
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Cembalo G, Ciriello R, Tesoro C, Guerrieri A, Bianco G, Lelario F, Acquavia MA, Di Capua A. An Amperometric Biosensor Based on a Bilayer of Electrodeposited Graphene Oxide and Co-Crosslinked Tyrosinase for L-Dopa Detection in Untreated Human Plasma. Molecules 2023; 28:5239. [PMID: 37446900 DOI: 10.3390/molecules28135239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 07/03/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023] Open
Abstract
L-Dopa, a bioactive compound naturally occurring in some Leguminosae plants, is the most effective symptomatic drug treatment for Parkinson's disease. During disease progression, fluctuations in L-DOPA plasma levels occur, causing motor complications. Sensing devices capable of rapidly monitoring drug levels would allow adjusting L-Dopa dosing, improving therapeutic outcomes. A novel amperometric biosensor for L-Dopa detection is described, based on tyrosinase co-crosslinked onto a graphene oxide layer produced through electrodeposition. Careful optimization of the enzyme immobilization procedure permitted to improve the long-term stability while substantially shortening and simplifying the biosensor fabrication. The effectiveness of the immobilization protocol combined with the enhanced performances of electrodeposited graphene oxide allowed to achieve high sensitivity, wide linear range, and a detection limit of 0.84 μM, suitable for L-Dopa detection within its therapeutic window. Interference from endogenous compounds, tested at concentrations levels typically found in drug-treated patients, was not significant. Ascorbic acid exhibited a tyrosinase inhibitory behavior and was therefore rejected from the enzymatic layer by casting an outer Nafion membrane. The proposed device was applied for L-Dopa detection in human plasma, showing good recoveries.
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Affiliation(s)
- Giuseppa Cembalo
- Dipartimento di Scienze, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy
| | - Rosanna Ciriello
- Dipartimento di Scienze, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy
| | - Carmen Tesoro
- Dipartimento di Scienze, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy
| | - Antonio Guerrieri
- Dipartimento di Scienze, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy
| | - Giuliana Bianco
- Dipartimento di Scienze, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy
| | - Filomena Lelario
- Dipartimento di Scienze, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy
| | - Maria Assunta Acquavia
- Dipartimento di Scienze, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy
| | - Angela Di Capua
- Dipartimento di Scienze, University of Basilicata, Via dell'Ateneo Lucano 10, 85100 Potenza, Italy
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18
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Pishbin E, Sadri F, Dehghan A, Kiani MJ, Hashemi N, Zare I, Mousavi P, Rahi A. Recent advances in isolation and detection of exosomal microRNAs related to Alzheimer's disease. ENVIRONMENTAL RESEARCH 2023; 227:115705. [PMID: 36958383 DOI: 10.1016/j.envres.2023.115705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/11/2023] [Accepted: 03/15/2023] [Indexed: 05/08/2023]
Abstract
Alzheimer's disease, a progressive neurological condition, is associated with various internal and external risk factors in the disease's early stages. Early diagnosis of Alzheimer's disease is essential for treatment management. Circulating exosomal microRNAs could be a new class of valuable biomarkers for early Alzheimer's disease diagnosis. Different kinds of biosensors have been introduced in recent years for the detection of these valuable biomarkers. Isolation of the exosomes is a crucial step in the detection process which is traditionally carried out by multi-step ultrafiltration. Microfluidics has improved the efficiency and costs of exosome isolation by implementing various effects and forces on the nano and microparticles in the microchannels. This paper reviews recent advancements in detecting Alzheimer's disease related exosomal microRNAs based on methods such as electrochemical, fluorescent, and SPR. The presented devices' pros and cons and their efficiencies compared with the gold standard methods are reported. Moreover, the application of microfluidic devices to detect Alzheimer's disease related biomarkers is summarized and presented. Finally, some challenges with the performance of novel technologies for isolating and detecting exosomal microRNAs are addressed.
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Affiliation(s)
- Esmail Pishbin
- Bio-microfluidics Laboratory, Department of Electrical Engineering and Information Technology, Iranian Research Organization for Science and Technology, Tehran, Iran
| | - Fatemeh Sadri
- Department of Medical Genetics, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Amin Dehghan
- School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Mohammad Javad Kiani
- School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Nader Hashemi
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Iman Zare
- Research and Development Department, Sina Medical Biochemistry Technologies Co. Ltd., Shiraz 7178795844, Iran
| | - Pegah Mousavi
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
| | - Amid Rahi
- Cell Therapy and Regenerative Medicine Comprehensive Center, Kerman University of Medical Sciences, Kerman, Iran.
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19
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Song Z, Zhou S, Qin Y, Xia X, Sun Y, Han G, Shu T, Hu L, Zhang Q. Flexible and Wearable Biosensors for Monitoring Health Conditions. BIOSENSORS 2023; 13:630. [PMID: 37366995 DOI: 10.3390/bios13060630] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 05/22/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023]
Abstract
Flexible and wearable biosensors have received tremendous attention over the past decade owing to their great potential applications in the field of health and medicine. Wearable biosensors serve as an ideal platform for real-time and continuous health monitoring, which exhibit unique properties such as self-powered, lightweight, low cost, high flexibility, detection convenience, and great conformability. This review introduces the recent research progress in wearable biosensors. First of all, the biological fluids often detected by wearable biosensors are proposed. Then, the existing micro-nanofabrication technologies and basic characteristics of wearable biosensors are summarized. Then, their application manners and information processing are also highlighted in the paper. Massive cutting-edge research examples are introduced such as wearable physiological pressure sensors, wearable sweat sensors, and wearable self-powered biosensors. As a significant content, the detection mechanism of these sensors was detailed with examples to help readers understand this area. Finally, the current challenges and future perspectives are proposed to push this research area forward and expand practical applications in the future.
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Affiliation(s)
- Zhimin Song
- Department of Anesthesiology, The Second Hospital of Jilin University, Changchun 130041, China
| | - Shu Zhou
- Department of Anesthesiology, Jilin Cancer Hospital, Changchun 130021, China
| | - Yanxia Qin
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
| | - Xiangjiao Xia
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
| | - Yanping Sun
- School of Biomedical Engineering, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen Key Laboratory for Nano-Biosensing Technology, International Health Science Innovation Center, Research Center for Biosensor and Nanotheranostic, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Guanghong Han
- Department of Oral Geriatrics, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Tong Shu
- School of Biomedical Engineering, Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen Key Laboratory for Nano-Biosensing Technology, International Health Science Innovation Center, Research Center for Biosensor and Nanotheranostic, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Liang Hu
- State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X) and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China
| | - Qiang Zhang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
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20
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Saldanha DJ, Cai A, Dorval Courchesne NM. The Evolving Role of Proteins in Wearable Sweat Biosensors. ACS Biomater Sci Eng 2023; 9:2020-2047. [PMID: 34491052 DOI: 10.1021/acsbiomaterials.1c00699] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Sweat is an increasingly popular biological medium for fitness monitoring and clinical diagnostics. It contains an abundance of biological information and is available continuously and noninvasively. Sweat-sensing devices often employ proteins in various capacities to create skin-friendly matrices that accurately extract valuable and time-sensitive information from sweat. Proteins were first used in sensors as biorecognition elements in the form of enzymes and antibodies, which are now being tuned to operate at ranges relevant for sweat. In addition, a range of structural proteins, sometimes assembled in conjunction with polymers, can provide flexible and compatible matrices for skin sensors. Other proteins also naturally possess a range of functionalities─as adhesives, charge conductors, fluorescence emitters, and power generators─that can make them useful components in wearable devices. Here, we examine the four main components of wearable sweat sensors─the biorecognition element, the transducer, the scaffold, and the adhesive─and the roles that proteins have played so far, or promise to play in the future, in each component. On a case-by-case basis, we analyze the performance characteristics of existing protein-based devices, their applicable ranges of detection, their transduction mechanism and their mechanical properties. Thereby, we review and compare proteins that can readily be used in sweat sensors and others that will require further efforts to overcome design, stability or scalability challenges. Incorporating proteins in one or multiple components of sweat sensors could lead to the development and deployment of tunable, greener, and safer biosourced devices.
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Affiliation(s)
- Dalia Jane Saldanha
- Department of Chemical Engineering, McGill University, Montréal, Québec, Canada H3A 0C5
| | - Anqi Cai
- Department of Chemical Engineering, McGill University, Montréal, Québec, Canada H3A 0C5
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21
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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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22
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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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23
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Yuan X, Li C, Yin X, Yang Y, Ji B, Niu Y, Ren L. Epidermal Wearable Biosensors for Monitoring Biomarkers of Chronic Disease in Sweat. BIOSENSORS 2023; 13:313. [PMID: 36979525 PMCID: PMC10045998 DOI: 10.3390/bios13030313] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/15/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Biological information detection technology is mainly used for the detection of physiological and biochemical parameters closely related to human tissues and organ lesions, such as biomarkers. This technology has important value in the clinical diagnosis and treatment of chronic diseases in their early stages. Wearable biosensors can be integrated with the Internet of Things and Big Data to realize the detection, transmission, storage, and comprehensive analysis of human physiological and biochemical information. This technology has extremely wide applications and considerable market prospects in frontier fields including personal health monitoring, chronic disease diagnosis and management, and home medical care. In this review, we systematically summarized the sweat biomarkers, introduced the sweat extraction and collection methods, and discussed the application and development of epidermal wearable biosensors for monitoring biomarkers in sweat in preclinical research in recent years. In addition, the current challenges and development prospects in this field were discussed.
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Affiliation(s)
- Xichen Yuan
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- MOE Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi’an 710072, China
| | - Chen Li
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
| | - Xu Yin
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
| | - Yang Yang
- Ministry of Education Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Chongqing University, Chongqing 400030, China
| | - Bowen Ji
- Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China
| | - Yinbo Niu
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
| | - Li Ren
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
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24
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Arasteh E, Mirian MS, Verchere WD, Surathi P, Nene D, Allahdadian S, Doo M, Park KW, Ray S, McKeown MJ. An Individualized Multi-Modal Approach for Detection of Medication "Off" Episodes in Parkinson's Disease via Wearable Sensors. J Pers Med 2023; 13:jpm13020265. [PMID: 36836501 PMCID: PMC9962500 DOI: 10.3390/jpm13020265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 01/20/2023] [Accepted: 01/27/2023] [Indexed: 02/04/2023] Open
Abstract
The primary treatment for Parkinson's disease (PD) is supplementation of levodopa (L-dopa). With disease progression, people may experience motor and non-motor fluctuations, whereby the PD symptoms return before the next dose of medication. Paradoxically, in order to prevent wearing-off, one must take the next dose while still feeling well, as the upcoming off episodes can be unpredictable. Waiting until feeling wearing-off and then taking the next dose of medication is a sub-optimal strategy, as the medication can take up to an hour to be absorbed. Ultimately, early detection of wearing-off before people are consciously aware would be ideal. Towards this goal, we examined whether or not a wearable sensor recording autonomic nervous system (ANS) activity could be used to predict wearing-off in people on L-dopa. We had PD subjects on L-dopa record a diary of their on/off status over 24 hours while wearing a wearable sensor (E4 wristband®) that recorded ANS dynamics, including electrodermal activity (EDA), heart rate (HR), blood volume pulse (BVP), and skin temperature (TEMP). A joint empirical mode decomposition (EMD) / regression analysis was used to predict wearing-off (WO) time. When we used individually specific models assessed with cross-validation, we obtained > 90% correlation between the original OFF state logged by the patients and the reconstructed signal. However, a pooled model using the same combination of ASR measures across subjects was not statistically significant. This proof-of-principle study suggests that ANS dynamics can be used to assess the on/off phenomenon in people with PD taking L-dopa, but must be individually calibrated. More work is required to determine if individual wearing-off detection can take place before people become consciously aware of it.
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Affiliation(s)
- Emad Arasteh
- Department of Neonatology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, 3585 EA Utrecht, The Netherlands
- Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, B-3001 Leuven, Belgium
| | - Maryam S. Mirian
- Pacific Parkinson’s Research Centre, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 2B5, Canada
| | - Wyatt D. Verchere
- Pacific Parkinson’s Research Centre, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 2B5, Canada
| | - Pratibha Surathi
- Clinical Fellow-Neurophysiology, Columbia New York Presbyterian, New York, NY 1032, USA
| | - Devavrat Nene
- Department of Medicine, Division of Neurology, The University of Ottawa, Ottawa, ON K1Y 4E9, Canada
| | - Sepideh Allahdadian
- Pacific Parkinson’s Research Centre, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 2B5, Canada
- Department of Neurology, Penn State Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - Michelle Doo
- Pacific Parkinson’s Research Centre, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 2B5, Canada
| | - Kye Won Park
- Pacific Parkinson’s Research Centre, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 2B5, Canada
| | - Somdattaa Ray
- Pacific Parkinson’s Research Centre, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 2B5, Canada
| | - Martin J. McKeown
- Pacific Parkinson’s Research Centre, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC V6T 2B5, Canada
- Faculty of Medicine (Neurology), University of British Columbia, Vancouver, BC V6T 2B5, Canada
- Correspondence:
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25
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Das R, Nag S, Banerjee P. Electrochemical Nanosensors for Sensitization of Sweat Metabolites: From Concept Mapping to Personalized Health Monitoring. Molecules 2023; 28:1259. [PMID: 36770925 PMCID: PMC9920341 DOI: 10.3390/molecules28031259] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/11/2023] [Accepted: 01/17/2023] [Indexed: 01/31/2023] Open
Abstract
Sweat contains a broad range of important biomarkers, which may be beneficial for acquiring non-invasive biochemical information on human health status. Therefore, highly selective and sensitive electrochemical nanosensors for the non-invasive detection of sweat metabolites have turned into a flourishing contender in the frontier of disease diagnosis. A large surface area, excellent electrocatalytic behavior and conductive properties make nanomaterials promising sensor materials for target-specific detection. Carbon-based nanomaterials (e.g., CNT, carbon quantum dots, and graphene), noble metals (e.g., Au and Pt), and metal oxide nanomaterials (e.g., ZnO, MnO2, and NiO) are widely used for modifying the working electrodes of electrochemical sensors, which may then be further functionalized with requisite enzymes for targeted detection. In the present review, recent developments (2018-2022) of electrochemical nanosensors by both enzymatic as well as non-enzymatic sensors for the effectual detection of sweat metabolites (e.g., glucose, ascorbic acid, lactate, urea/uric acid, ethanol and drug metabolites) have been comprehensively reviewed. Along with this, electrochemical sensing principles, including potentiometry, amperometry, CV, DPV, SWV and EIS have been briefly presented in the present review for a conceptual understanding of the sensing mechanisms. The detection thresholds (in the range of mM-nM), sensitivities, linear dynamic ranges and sensing modalities have also been properly addressed for a systematic understanding of the judicious design of more effective sensors. One step ahead, in the present review, current trends of flexible wearable electrochemical sensors in the form of eyeglasses, tattoos, gloves, patches, headbands, wrist bands, etc., have also been briefly summarized, which are beneficial for on-body in situ measurement of the targeted sweat metabolites. On-body monitoring of sweat metabolites via wireless data transmission has also been addressed. Finally, the gaps in the ongoing research endeavors, unmet challenges, outlooks and future prospects have also been discussed for the development of advanced non-invasive self-health-care-monitoring devices in the near future.
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Affiliation(s)
- Riyanka Das
- Surface Engineering & Tribology Group, CSIR-Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur 713209, West Bengal, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Somrita Nag
- Surface Engineering & Tribology Group, CSIR-Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur 713209, West Bengal, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Priyabrata Banerjee
- Surface Engineering & Tribology Group, CSIR-Central Mechanical Engineering Research Institute, Mahatma Gandhi Avenue, Durgapur 713209, West Bengal, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
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26
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Gao F, Liu C, Zhang L, Liu T, Wang Z, Song Z, Cai H, Fang Z, Chen J, Wang J, Han M, Wang J, Lin K, Wang R, Li M, Mei Q, Ma X, Liang S, Gou G, Xue N. Wearable and flexible electrochemical sensors for sweat analysis: a review. MICROSYSTEMS & NANOENGINEERING 2023; 9:1. [PMID: 36597511 PMCID: PMC9805458 DOI: 10.1038/s41378-022-00443-6] [Citation(s) in RCA: 64] [Impact Index Per Article: 64.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 07/26/2022] [Accepted: 08/10/2022] [Indexed: 06/10/2023]
Abstract
Flexible wearable sweat sensors allow continuous, real-time, noninvasive detection of sweat analytes, provide insight into human physiology at the molecular level, and have received significant attention for their promising applications in personalized health monitoring. Electrochemical sensors are the best choice for wearable sweat sensors due to their high performance, low cost, miniaturization, and wide applicability. Recent developments in soft microfluidics, multiplexed biosensing, energy harvesting devices, and materials have advanced the compatibility of wearable electrochemical sweat-sensing platforms. In this review, we summarize the potential of sweat for medical detection and methods for sweat stimulation and collection. This paper provides an overview of the components of wearable sweat sensors and recent developments in materials and power supply technologies and highlights some typical sensing platforms for different types of analytes. Finally, the paper ends with a discussion of the challenges and a view of the prospective development of this exciting field.
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Affiliation(s)
- Fupeng Gao
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Chunxiu Liu
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Lichao Zhang
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Tiezhu Liu
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Zheng Wang
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Zixuan Song
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Haoyuan Cai
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Zhen Fang
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Jiamin Chen
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Junbo Wang
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Mengdi Han
- Department of Biomedical Engineering, College of Future Technology, Peking University, 100871 Beijing, China
| | - Jun Wang
- Beijing Shuimujiheng Biotechnology Company, 101102 Beijing, China
| | - Kai Lin
- PLA Air Force Characteristic Medical Center, 100142 Beijing, China
| | - Ruoyong Wang
- PLA Air Force Characteristic Medical Center, 100142 Beijing, China
| | - Mingxiao Li
- Institute of Microelectronics of the Chinese Academy of Sciences, 100029 Beijing, China
| | - Qian Mei
- CAS Key Laboratory of Biomedical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences (CAS), 215163 Suzhou, China
| | - Xibo Ma
- CBSR&NLPR, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Shuli Liang
- Functional Neurosurgery Department, Beijing Children’s Hospital, Capital Medical University, 100045 Beijing, China
| | - Guangyang Gou
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
| | - Ning Xue
- School of Electronic, Electrical, and Communication Engineering, University of Chinese Academy of Sciences (UCAS), 100190 Beijing, China
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, 100190 Beijing, China
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27
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Yu Z, Tang D. Artificial Neural Network-Assisted Wearable Flexible Sweat Patch for Drug Management in Parkinson's Patients Based on Vacancy-Engineered Processing of g-C 3N 4. Anal Chem 2022; 94:18000-18008. [PMID: 36524711 DOI: 10.1021/acs.analchem.2c04291] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Herein, we developed a flexible, low-cost non-enzymatic sweat sensing chip for in situ acquisition of bioinformation in sweat of individuals under exercise conditions to advance personal health monitoring and medication management for patients with Parkinson's disease. This low-cost, flexible, wearable sweat sensor consists of a printed screen electrode modified with g-C3N4 material and an external MSME element. The doping strategy and surface activation strategy of the g-C3N4-based exhibited efficient glucose oxidase-like activity and electrochemical activity when testing l-dopa and glucose in sweat. The optimized signal was transmitted to a smartphone for processing 12 individuals with simulated dosing, enabling continuous monitoring of l-dopa metabolism in sweat and management of dosing. The generalization ability and robustness of models constructed by methods such as multiple linear regression, artificial neural networks, and convolutional neural networks were compared cross-sectionally. Deep learning models based on artificial neural networks help develop a user-personalized medication administration reminder system, which provides a promising paradigm for reliable medication supervision for Parkinson's patients in the Internet of Things era.
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Affiliation(s)
- Zhichao Yu
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou 350108, People Republic of China
| | - Dianping Tang
- Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou 350108, People Republic of China
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28
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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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29
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Park S, Kim YJ, Kostal E, Matylitskaya V, Partel S, Ryu W. Highly-sensitive single-step sensing of levodopa by swellable microneedle-mounted nanogap sensor. Biosens Bioelectron 2022; 220:114912. [DOI: 10.1016/j.bios.2022.114912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/30/2022] [Accepted: 11/10/2022] [Indexed: 11/16/2022]
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30
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Kil MS, Kim SJ, Park HJ, Yoon JH, Jeong JM, Choi BG. Highly Stretchable Sensor Based on Fluid Dynamics-Assisted Graphene Inks for Real-Time Monitoring of Sweat. ACS APPLIED MATERIALS & INTERFACES 2022; 14:48072-48080. [PMID: 36222414 DOI: 10.1021/acsami.2c10638] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Graphene inks have recently attracted attention for the development of printed wearable and flexible electronics and sensors not only because of their high conductivity and low cost but also because they are suitable for high-speed printing. Although reliable and scalable printing technologies are well established, further improvement in graphene inks in terms of electrical conductivity, stretchability/flexibility, and mass production is necessary for sensors for real-time monitoring. Herein, highly stretchable and conductive graphene inks were prepared by an efficient and scalable fluid dynamics-assisted exfoliation of graphite and a mixing process with elastomeric Ecoflex. After printing inks onto textile substrates, the serpentine-patterned conductors exhibited high conductivity and stable resistance even under a mechanically stretched state (a strain of 150%). Electrochemical sensors that detect sodium ions were fabricated on this conducting platform. These sensors indicated high potentiometric sensing ability under different mechanical deformations. To demonstrate the on-body performance of the developed sensors, real-time monitoring of sodium-ion concentration in the sweat of a human subject was carried out during an indoor stationary cycling exercise.
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Affiliation(s)
- Min Sik Kil
- Department of Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea
| | - Seo Jin Kim
- Department of Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea
| | - Hong Jun Park
- Department of Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea
| | - Jo Hee Yoon
- Department of Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea
| | - Jae-Min Jeong
- Mineral Resources Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), Daejeon 34132, Republic of Korea
| | - Bong Gill Choi
- Department of Chemical Engineering, Kangwon National University, Samcheok 25913, Republic of Korea
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31
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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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32
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Lin S, Cheng X, Zhu J, Wang B, Jelinek D, Zhao Y, Wu TY, Horrillo A, Tan J, Yeung J, Yan W, Forman S, Coller HA, Milla C, Emaminejad S. Wearable microneedle-based electrochemical aptamer biosensing for precision dosing of drugs with narrow therapeutic windows. SCIENCE ADVANCES 2022; 8:eabq4539. [PMID: 36149955 PMCID: PMC9506728 DOI: 10.1126/sciadv.abq4539] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 08/09/2022] [Indexed: 05/31/2023]
Abstract
Therapeutic drug monitoring is essential for dosing pharmaceuticals with narrow therapeutic windows. Nevertheless, standard methods are imprecise and involve invasive/resource-intensive procedures with long turnaround times. Overcoming these limitations, we present a microneedle-based electrochemical aptamer biosensing patch (μNEAB-patch) that minimally invasively probes the interstitial fluid (ISF) and renders correlated, continuous, and real-time measurements of the circulating drugs' pharmacokinetics. The μNEAB-patch is created following an introduced low-cost fabrication scheme, which transforms a shortened clinical-grade needle into a high-quality gold nanoparticle-based substrate for robust aptamer immobilization and efficient electrochemical signal retrieval. This enables the reliable in vivo detection of a wide library of ISF analytes-especially those with nonexistent natural recognition elements. Accordingly, we developed μNEABs targeting various drugs, including antibiotics with narrow therapeutic windows (tobramycin and vancomycin). Through in vivo animal studies, we demonstrated the strong correlation between the ISF/circulating drug levels and the device's potential clinical use for timely prediction of total drug exposure.
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Affiliation(s)
- Shuyu Lin
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xuanbing Cheng
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jialun Zhu
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Bo Wang
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - David Jelinek
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
- Weintraub Center for Reconstructive Biotechnology, School of Dentistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yichao Zhao
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Tsung-Yu Wu
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Abraham Horrillo
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jiawei Tan
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Justin Yeung
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Materials Science and Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Wenzhong Yan
- Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sarah Forman
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Hilary A. Coller
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA
| | - Carlos Milla
- The Stanford Cystic Fibrosis Center, Center for Excellence in Pulmonary Biology, Stanford School of Medicine, Stanford, CA, USA
| | - Sam Emaminejad
- Interconnected and Integrated Bioelectronics Lab (IBL), University of California, Los Angeles, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
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33
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Swetha P, Balijapalli U, Feng SP. Wireless accessing of salivary biomarkers based wearable electrochemical sensors: A mini-review. Electrochem commun 2022. [DOI: 10.1016/j.elecom.2022.107314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Closing the loop for patients with Parkinson disease: where are we? Nat Rev Neurol 2022; 18:497-507. [PMID: 35681103 DOI: 10.1038/s41582-022-00674-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2022] [Indexed: 02/07/2023]
Abstract
Although levodopa remains the most efficacious symptomatic therapy for Parkinson disease (PD), management of levodopa treatment during the advanced stages of the disease is extremely challenging. This difficulty is a result of levodopa's short half-life, a progressive narrowing of the therapeutic window, and major inter-patient and intra-patient variations in the dose-response relationship. Therefore, a suitable alternative to repeated oral administration of levodopa is being sought. Recent research efforts have focused on the development of novel levodopa delivery strategies and wearable physical sensors that track symptoms and disease progression. However, the need for methods to monitor the levels of levodopa present in the body in real time has been overlooked. Advances in chemical sensor technology mean that the development of wearable and mobile biosensors for continuous or frequent levodopa measurements is now possible. Such levodopa monitoring could help to deliver personalized and timely medication dosing to alleviate treatment-related fluctuations in the symptoms of PD. Therefore, with the aim of optimizing therapeutic management of PD and improving the quality of life of patients, we share our vision of a future closed-loop autonomous wearable 'sense-and-act' system. This system consists of a network of physical and chemical sensors coupled with a levodopa delivery device and is guided by effective big data fusion algorithms and machine learning methods.
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Heng W, Solomon S, Gao W. Flexible Electronics and Devices as Human-Machine Interfaces for Medical Robotics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2107902. [PMID: 34897836 PMCID: PMC9035141 DOI: 10.1002/adma.202107902] [Citation(s) in RCA: 107] [Impact Index Per Article: 53.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 12/08/2021] [Indexed: 05/02/2023]
Abstract
Medical robots are invaluable players in non-pharmaceutical treatment of disabilities. Particularly, using prosthetic and rehabilitation devices with human-machine interfaces can greatly improve the quality of life for impaired patients. In recent years, flexible electronic interfaces and soft robotics have attracted tremendous attention in this field due to their high biocompatibility, functionality, conformability, and low-cost. Flexible human-machine interfaces on soft robotics will make a promising alternative to conventional rigid devices, which can potentially revolutionize the paradigm and future direction of medical robotics in terms of rehabilitation feedback and user experience. In this review, the fundamental components of the materials, structures, and mechanisms in flexible human-machine interfaces are summarized by recent and renowned applications in five primary areas: physical and chemical sensing, physiological recording, information processing and communication, soft robotic actuation, and feedback stimulation. This review further concludes by discussing the outlook and current challenges of these technologies as a human-machine interface in medical robotics.
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Affiliation(s)
- Wenzheng Heng
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Samuel Solomon
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Wei Gao
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA
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Hydrophilic metal-organic frameworks integrated uricase for wearable detection of sweat uric acid. Anal Chim Acta 2022; 1208:339843. [DOI: 10.1016/j.aca.2022.339843] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 04/13/2022] [Accepted: 04/16/2022] [Indexed: 12/14/2022]
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Fang L, Ren H, Mao X, Zhang S, Cai Y, Xu S, Zhang Y, Li L, Ye X, Liang B. Differential Amperometric Microneedle Biosensor for Wearable Levodopa Monitoring of Parkinson's Disease. BIOSENSORS 2022; 12:bios12020102. [PMID: 35200363 PMCID: PMC8869619 DOI: 10.3390/bios12020102] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 02/01/2022] [Accepted: 02/02/2022] [Indexed: 05/15/2023]
Abstract
Levodopa (L-Dopa) is considered to be one of the most effective therapies available for Parkinson's disease (PD) treatment. The therapeutic window of L-Dopa is narrow due to its short half-life, and long-time L-Dopa treatment will cause some side effects such as dyskinesias, psychosis, and orthostatic hypotension. Therefore, it is of great significance to monitor the dynamic concentration of L-Dopa for PD patients with wearable biosensors to reduce the risk of complications. However, the high concentration of interferents in the body brings great challenges to the in vivo monitoring of L-Dopa. To address this issue, we proposed a minimal-invasive L-Dopa biosensor based on a flexible differential microneedle array (FDMA). One working electrode responded to L-Dopa and interfering substances, while the other working electrode only responded to electroactive interferences. The differential current response of these two electrodes was related to the concentration of L-Dopa by eliminating the common mode interference. The differential structure provided the sensor with excellent anti-interference performance and improved the sensor's accuracy. This novel flexible microneedle sensor exhibited favorable analytical performance of a wide linear dynamic range (0-20 μM), high sensitivity (12.618 nA μM-1 cm-2) as well as long-term stability (two weeks). Ultimately, the L-Dopa sensor displayed a fast response to in vivo L-Dopa dynamically with considerable anti-interference ability. All these attractive performances indicated the feasibility of this FDMA for minimal invasive and continuous monitoring of L-Dopa dynamic concentration for Parkinson's disease.
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Affiliation(s)
- Lu Fang
- Department of Automation, Hangzhou Dianzi University, Hangzhou 310018, China; (L.F.); (Y.Z.)
| | - Hangxu Ren
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310058, China; (H.R.); (X.M.); (S.Z.); (Y.C.); (S.X.)
| | - Xiyu Mao
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310058, China; (H.R.); (X.M.); (S.Z.); (Y.C.); (S.X.)
| | - Shanshan Zhang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310058, China; (H.R.); (X.M.); (S.Z.); (Y.C.); (S.X.)
| | - Yu Cai
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310058, China; (H.R.); (X.M.); (S.Z.); (Y.C.); (S.X.)
| | - Shiyi Xu
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310058, China; (H.R.); (X.M.); (S.Z.); (Y.C.); (S.X.)
| | - Yi Zhang
- Department of Automation, Hangzhou Dianzi University, Hangzhou 310018, China; (L.F.); (Y.Z.)
| | - Lihua Li
- Department of Automation, Hangzhou Dianzi University, Hangzhou 310018, China; (L.F.); (Y.Z.)
- Correspondence: (L.L.); (X.Y.); (B.L.); Tel.: +86-571-86878587 (L.L.); +86-571-87952756 (X.Y. & B.L.)
| | - Xuesong Ye
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310058, China; (H.R.); (X.M.); (S.Z.); (Y.C.); (S.X.)
- Correspondence: (L.L.); (X.Y.); (B.L.); Tel.: +86-571-86878587 (L.L.); +86-571-87952756 (X.Y. & B.L.)
| | - Bo Liang
- Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310058, China; (H.R.); (X.M.); (S.Z.); (Y.C.); (S.X.)
- Correspondence: (L.L.); (X.Y.); (B.L.); Tel.: +86-571-86878587 (L.L.); +86-571-87952756 (X.Y. & B.L.)
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Tiwari N, Chatterjee S, Kaswan K, Chung JH, Fan KP, Lin ZH. Recent advancements in sampling, power management strategies and development in applications for non-invasive wearable electrochemical sensors. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2022.116064] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Ates HC, Mohsenin H, Wenzel C, Glatz RT, Wagner HJ, Bruch R, Hoefflin N, Spassov S, Streicher L, Lozano-Zahonero S, Flamm B, Trittler R, Hug MJ, Köhn M, Schmidt J, Schumann S, Urban GA, Weber W, Dincer C. Biosensor-Enabled Multiplexed On-Site Therapeutic Drug Monitoring of Antibiotics. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022; 34:e2104555. [PMID: 34545651 DOI: 10.1002/adma.202104555] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 07/31/2021] [Indexed: 05/20/2023]
Abstract
Personalized antibiotherapy ensures that the antibiotic concentration remains in the optimal therapeutic window to maximize efficacy, minimize side effects, and avoid the emergence of drug resistance due to insufficient dosing. However, such individualized schemes need frequent sampling to tailor the blood antibiotic concentrations. To optimally integrate therapeutic drug monitoring (TDM) into the clinical workflow, antibiotic levels can either be measured in blood using point-of-care testing (POCT), or can rely on noninvasive sampling. Here, a versatile biosensor with an antibody-free assay for on-site TDM is presented. The platform is evaluated with an animal study, where antibiotic concentrations are quantified in different matrices including whole blood, plasma, urine, saliva, and exhaled breath condensate (EBC). The clearance and the temporal evaluation of antibiotic levels in EBC and plasma are demonstrated. Influence of matrix effects on measured drug concentrations is determined by comparing the plasma levels with those in noninvasive samples. The system's potential for blood-based POCT is further illustrated by tracking ß-lactam concentrations in untreated blood samples. Finally, multiplexing capabilities are explored successfully for multianalyte/sample analysis. By enabling a rapid, low-cost, sample-independent, and multiplexed on-site TDM, this system can shift the paradigm of "one-size-fits-all" strategy.
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Affiliation(s)
- H Ceren Ates
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Georges-Koehler-Allee 105, 79110, Freiburg, Germany
- Department of Microsystems Engineering (IMTEK), Laboratory for Sensors, University of Freiburg, Georges-Koehler-Allee 103, 79110, Freiburg, Germany
| | - Hasti Mohsenin
- Faculty of Biology and Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schaenzlestrasse 18, 79104, Freiburg, Germany
| | - Christin Wenzel
- Department of Anesthesiology and Critical Care, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Regina T Glatz
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Georges-Koehler-Allee 105, 79110, Freiburg, Germany
- Department of Microsystems Engineering (IMTEK), Laboratory for Sensors, University of Freiburg, Georges-Koehler-Allee 103, 79110, Freiburg, Germany
| | - Hanna J Wagner
- Faculty of Biology and Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schaenzlestrasse 18, 79104, Freiburg, Germany
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel, 4058, Switzerland
| | - Richard Bruch
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Georges-Koehler-Allee 105, 79110, Freiburg, Germany
- Department of Microsystems Engineering (IMTEK), Laboratory for Sensors, University of Freiburg, Georges-Koehler-Allee 103, 79110, Freiburg, Germany
| | - Nico Hoefflin
- Faculty of Biology and Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schaenzlestrasse 18, 79104, Freiburg, Germany
| | - Sashko Spassov
- Department of Anesthesiology and Critical Care, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Lea Streicher
- Department of Anesthesiology and Critical Care, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Sara Lozano-Zahonero
- Department of Anesthesiology and Critical Care, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Bernd Flamm
- Department of Anesthesiology and Critical Care, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Rainer Trittler
- Department of Pharmacy, Medical Center - University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany
| | - Martin J Hug
- Department of Pharmacy, Medical Center - University of Freiburg, Hugstetter Straße 55, 79106, Freiburg, Germany
| | - Maja Köhn
- Faculty of Biology and Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schaenzlestrasse 18, 79104, Freiburg, Germany
| | - Johannes Schmidt
- Department of Anesthesiology and Critical Care, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Stefan Schumann
- Department of Anesthesiology and Critical Care, Faculty of Medicine, Medical Center - University of Freiburg, Hugstetter Str. 55, 79106, Freiburg, Germany
| | - Gerald A Urban
- Department of Microsystems Engineering (IMTEK), Laboratory for Sensors, University of Freiburg, Georges-Koehler-Allee 103, 79110, Freiburg, Germany
- Freiburg Materials Research Center (FMF), University of Freiburg, Stefan-Meier-Straße 21, 79104, Freiburg, Germany
| | - Wilfried Weber
- Faculty of Biology and Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Schaenzlestrasse 18, 79104, Freiburg, Germany
| | - Can Dincer
- FIT Freiburg Center for Interactive Materials and Bioinspired Technologies, University of Freiburg, Georges-Koehler-Allee 105, 79110, Freiburg, Germany
- Department of Microsystems Engineering (IMTEK), Laboratory for Sensors, University of Freiburg, Georges-Koehler-Allee 103, 79110, Freiburg, Germany
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Abe Y, Nishizawa M. Electrical aspects of skin as a pathway to engineering skin devices. APL Bioeng 2021; 5:041509. [PMID: 34849444 PMCID: PMC8604566 DOI: 10.1063/5.0064529] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/27/2021] [Indexed: 02/07/2023] Open
Abstract
Skin is one of the indispensable organs for life. The epidermis at the outermost surface provides a permeability barrier to infectious agents, chemicals, and excessive loss of water, while the dermis and subcutaneous tissue mechanically support the structure of the skin and appendages, including hairs and secretory glands. The integrity of the integumentary system is a key for general health, and many techniques have been developed to measure and control this protective function. In contrast, the effective skin barrier is the major obstacle for transdermal delivery and detection. Changes in the electrical properties of skin, such as impedance and ionic activity, is a practical indicator that reflects the structures and functions of the skin. For example, the impedance that reflects the hydration of the skin is measured for quantitative assessment in skincare, and the current generated across a wound is used for the evaluation and control of wound healing. Furthermore, the electrically charged structure of the skin enables transdermal drug delivery and chemical extraction. This paper provides an overview of the electrical aspects of the skin and summarizes current advances in the development of devices based on these features.
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Affiliation(s)
- Yuina Abe
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki-aza Aoba, Aoba-ku, Sendai 980-8579, Japan
| | - Matsuhiko Nishizawa
- Department of Finemechanics, Graduate School of Engineering, Tohoku University, 6-6-01 Aramaki-aza Aoba, Aoba-ku, Sendai 980-8579, Japan
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di Biase L, Tinkhauser G, Martin Moraud E, Caminiti ML, Pecoraro PM, Di Lazzaro V. Adaptive, personalized closed-loop therapy for Parkinson's disease: biochemical, neurophysiological, and wearable sensing systems. Expert Rev Neurother 2021; 21:1371-1388. [PMID: 34736368 DOI: 10.1080/14737175.2021.2000392] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Motor complication management is one of the main unmet needs in Parkinson's disease patients. AREAS COVERED Among the most promising emerging approaches for handling motor complications in Parkinson's disease, adaptive deep brain stimulation strategies operating in closed-loop have emerged as pivotal to deliver sustained, near-to-physiological inputs to dysfunctional basal ganglia-cortical circuits over time. Existing sensing systems that can provide feedback signals to close the loop include biochemical-, neurophysiological- or wearable-sensors. Biochemical sensing allows to directly monitor the pharmacokinetic and pharmacodynamic of antiparkinsonian drugs and metabolites. Neurophysiological sensing relies on neurotechnologies to sense cortical or subcortical brain activity and extract real-time correlates of symptom intensity or symptom control during DBS. A more direct representation of the symptom state, particularly the phenomenological differentiation and quantification of motor symptoms, can be realized via wearable sensor technology. EXPERT OPINION Biochemical, neurophysiologic, and wearable-based biomarkers are promising technological tools that either individually or in combination could guide adaptive therapy for Parkinson's disease motor symptoms in the future.
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Affiliation(s)
- Lazzaro di Biase
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico Di Roma, Rome, Italy.,Brain Innovations Lab, Università Campus Bio-Medico Di Roma, Rome, Italy
| | - Gerd Tinkhauser
- Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Eduardo Martin Moraud
- Department of Clinical Neurosciences, Lausanne University Hospital (Chuv) and University of Lausanne (Unil), Lausanne, Switzerland.,Defitech Center for Interventional Neurotherapies (.neurorestore), Lausanne University Hospital and Swiss Federal Institute of Technology (Epfl), Lausanne, Switzerland
| | - Maria Letizia Caminiti
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico Di Roma, Rome, Italy
| | - Pasquale Maria Pecoraro
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico Di Roma, Rome, Italy
| | - Vincenzo Di Lazzaro
- Unit of Neurology, Neurophysiology, Neurobiology, Department of Medicine, Università Campus Bio-Medico Di Roma, Rome, Italy
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Chung M, Skinner WH, Robert C, Campbell CJ, Rossi RM, Koutsos V, Radacsi N. Fabrication of a Wearable Flexible Sweat pH Sensor Based on SERS-Active Au/TPU Electrospun Nanofibers. ACS APPLIED MATERIALS & INTERFACES 2021; 13:51504-51518. [PMID: 34672514 DOI: 10.1021/acsami.1c15238] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Development of wearable sensing platforms is essential for the advancement of continuous health monitoring and point-of-care testing. Eccrine sweat pH is an analyte that can be noninvasively measured and used to diagnose and aid in monitoring a wide range of physiological conditions. Surface-enhanced Raman scattering (SERS) offers a rapid, optical technique for fingerprinting of biomarkers present in sweat. In this paper, a mechanically flexible, nanofibrous, SERS-active substrate was fabricated by a combination of electrospinning of thermoplastic polyurethane (TPU) and Au sputter coating. This substrate was then investigated for suitability toward wearable sweat pH sensing after functionalization with two commonly used pH-responsive molecules, 4-mercaptobenzoic acid (4-MBA), and 4-mercaptopyridine (4-MPy). The developed SERS pH sensor was found to have good resolution (0.14 pH units for 4-MBA; 0.51 pH units for 4-MPy), with only 1 μL of sweat required for a measurement, and displayed no statistically significant difference in performance after 35 days (p = 0.361). Additionally, the Au/TPU nanofibrous SERS pH sensors showed fast sweat-absorbing ability as well as good repeatability and reversibility. The proposed methodology offers a facile route for the fabrication of SERS substrates which could also be used to measure a wide range of health biomarkers beyond sweat pH.
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Affiliation(s)
- Michael Chung
- School of Engineering, Institute for Materials and Processes, The University of Edinburgh, King's Buildings, Robert Stevenson Road, Edinburgh EH9 3FB, United Kingdom
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, Lerchenfeldstrasse 5, CH-9014 St. Gallen, Switzerland
| | - William H Skinner
- EaStCHEM School of Chemistry, The University of Edinburgh, King's Buildings, Edinburgh EH9 3FJ, United Kingdom
| | - Colin Robert
- School of Engineering, Institute for Materials and Processes, The University of Edinburgh, King's Buildings, Robert Stevenson Road, Edinburgh EH9 3FB, United Kingdom
| | - Colin J Campbell
- EaStCHEM School of Chemistry, The University of Edinburgh, King's Buildings, Edinburgh EH9 3FJ, United Kingdom
| | - René M Rossi
- Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, Lerchenfeldstrasse 5, CH-9014 St. Gallen, Switzerland
| | - Vasileios Koutsos
- School of Engineering, Institute for Materials and Processes, The University of Edinburgh, King's Buildings, Robert Stevenson Road, Edinburgh EH9 3FB, United Kingdom
| | - Norbert Radacsi
- School of Engineering, Institute for Materials and Processes, The University of Edinburgh, King's Buildings, Robert Stevenson Road, Edinburgh EH9 3FB, United Kingdom
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Li G, Hao J, Li W, Ma F, Ma T, Gao W, Yu Y, Wen D. Integrating Highly Porous and Flexible Au Hydrogels with Soft-MEMS Technologies for High-Performance Wearable Biosensing. Anal Chem 2021; 93:14068-14075. [PMID: 34636245 DOI: 10.1021/acs.analchem.1c01581] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Wearable biosensors for real-time and non-invasive detection of biomarkers are of importance in early diagnosis and treatment of diseases. Herein, a high-performance wearable biosensing platform was proposed by combining a three-dimensional hierarchical porous Au hydrogel-enzyme electrode with high biocompatibility, activity, and flexibility and soft-MEMS technologies with high precision and capability of mass production. Using glucose oxidase as the model enzyme, the glucose sensor exhibits a sensitivity of 10.51 μA mM-1 cm-2, a long durability over 15 days, and a good selectivity. Under the mechanical deformation (0 to 90°), it is able to maintain an almost constant performance with a low deviation of <1.84%. With the assistance of a wireless or a Bluetooth module, this wearable sensing platform achieves real-time and non-invasive glucose monitoring on human skins. Similarly, continuous lactic acid monitoring was also realized with lactate oxidase immobilized on the same sensing platform, further verifying the universality of this sensing platform. Therefore, our work holds promise to provide a universal, high-performance wearable biosensing platform for various biomarkers in sweat and reliable diagnostic information for health management.
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Affiliation(s)
- Guanglei Li
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, P. R. China
| | - Jia Hao
- Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
| | - Wenli Li
- Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
| | - Fangyuan Ma
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, P. R. China
| | - Tuotuo Ma
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, P. R. China
| | - Wei Gao
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, P. R. China
| | - Yiting Yu
- Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Shaanxi Province Key Laboratory of Micro and Nano Electro-Mechanical Systems, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, P. R. China
| | - Dan Wen
- State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene (NPU), Xi'an 710072, P. R. China
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Jagannath B, Lin K, Pali M, Sankhala D, Muthukumar S, Prasad S. Temporal profiling of cytokines in passively expressed sweat for detection of infection using wearable device. Bioeng Transl Med 2021; 6:e10220. [PMID: 34589597 PMCID: PMC8459593 DOI: 10.1002/btm2.10220] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 12/14/2022] Open
Abstract
This work presents the viability of passive eccrine sweat as a functional biofluid toward tracking the human body's inflammatory response. Cytokines are biomarkers that orchestrate the manifestation and progression of an infection/inflammatory event. Hence, noninvasive, real-time monitoring of cytokines can be pivotal in assessing the progression of infection/inflammatory event, which may be feasible through monitoring of host immune markers in eccrine sweat. This work is the first experimental proof demonstrating the ability to detect inflammation/infection such as fever, FLU directly from passively expressed sweat in human subjects using a wearable "SWEATSENSER" device. The developed SWEATSENSER device demonstrates stable, real-time monitoring of inflammatory cytokines in passive sweat. An accuracy of >90% and specificity >95% was achieved using SWEATSENSER for a panel of cytokines (interleukin-6, interleukin-8, interleukin-10, and tumor necrosis factor-α) over an analytical range of 0.2-200 pg mL-1. The SWEATSENSER demonstrated a correlation of Pearson's r > 0.98 for the study biomarkers in a cohort of 26 subjects when correlated with standard reference method. Comparable IL-8 levels (2-15 pg mL-1) between systemic circulation (serum) and eccrine sweat through clinical studies in a cohort of 15 subjects, and the ability to distinguish healthy and sick (infection) cohort using inflammatory cytokines in sweat provides pioneering evidence of the SWEATSENSER technology for noninvasive tracking of host immune response biomarkers. Such a wearable device can offer significant strides in improving prognosis and provide personalized therapeutic treatment for several inflammatory/infectious diseases.
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Affiliation(s)
| | - Kai‐Chun Lin
- Department of BioengineeringUniversity of Texas at DallasRichardsonTexasUSA
| | - Madhavi Pali
- Department of BioengineeringUniversity of Texas at DallasRichardsonTexasUSA
| | - Devangsingh Sankhala
- Department of Electrical EngineeringUniversity of Texas at DallasRichardsonTexasUSA
| | | | - Shalini Prasad
- Department of BioengineeringUniversity of Texas at DallasRichardsonTexasUSA
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Manjakkal L, Yin L, Nathan A, Wang J, Dahiya R. Energy Autonomous Sweat-Based Wearable Systems. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2100899. [PMID: 34247412 DOI: 10.1002/adma.202100899] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/03/2021] [Indexed: 05/05/2023]
Abstract
The continuous operation of wearable electronics demands reliable sources of energy, currently met through Li-ion batteries and various energy harvesters. These solutions are being used out of necessity despite potential safety issues and unsustainable environmental impact. Safe and sustainable energy sources can boost the use of wearables systems in diverse applications such as health monitoring, prosthetics, and sports. In this regard, sweat- and sweat-equivalent-based studies have attracted tremendous attention through the demonstration of energy-generating biofuel cells, promising power densities as high as 3.5 mW cm-2 , storage using sweat-electrolyte-based supercapacitors with energy and power densities of 1.36 Wh kg-1 and 329.70 W kg-1 , respectively, and sweat-activated batteries with an impressive energy density of 67 Ah kg-1 . A combination of these energy generating, and storage devices can lead to fully energy-autonomous wearables capable of providing sustainable power in the µW to mW range, which is sufficient to operate both sensing and communication devices. Here, a comprehensive review covering these advances, addressing future challenges and potential solutions related to fully energy-autonomous wearables is presented, with emphasis on sweat-based energy storage and energy generation elements along with sweat-based sensors as applications.
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Affiliation(s)
- Libu Manjakkal
- Bendable Electronics and Sensing Technologies (BEST) Group, James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Lu Yin
- Department of Nanoengineering, Centre of Wearable Sensors, University of California, San Diego, CA, 92093, USA
| | - Arokia Nathan
- Darwin College, University of Cambridge, Silver Street, Cambridge, CB3 9EU, UK
| | - Joseph Wang
- Department of Nanoengineering, Centre of Wearable Sensors, University of California, San Diego, CA, 92093, USA
| | - Ravinder Dahiya
- Bendable Electronics and Sensing Technologies (BEST) Group, James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK
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Li Y, Liu Y, Chen L, Xu J. A Conformable, Gas-Permeable, and Transparent Skin-Like Micromesh Architecture for Glucose Monitoring. Adv Healthc Mater 2021; 10:e2100046. [PMID: 34263551 DOI: 10.1002/adhm.202100046] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 05/24/2021] [Indexed: 11/06/2022]
Abstract
Monitoring the concentration of useful biomarkers via electronic skins (e-skins) is highly important for the development of wearable health management systems. While some biosensor e-skins with high flexibility, sensitivity, and stability have been developed, little attention has been paid to their long-term comfortability and optical transparency. Here, a conformable, gas permeable, and transparent skin-like Cu2 O@Ni micromesh structural glucose monitoring patch is reported. With its self-supporting micromesh structure, the skin-like glucose monitoring patch exhibits excellent shape conformability, high gas permeability, and high optical transmittance. The skin-like glucose biosensor achieves real-time monitoring of glucose concentrations with high sensitivity (15 420 µA cm- 2 mM- 1 ), low detection limit (50 nM), fast response time (<2 s), high selectivity, and long-term stability. These desirable performance properties arise from the synergistic effects of the self-supporting micromesh configuration, high conductivity of the metallic Ni micromesh, and high electrocatalytic activities of the Cu2 O toward glucose. This work presents a versatile and efficient strategy for constructing conformable, gas permeable, and transparent biosensor e-skins with excellent practicability towards wearable electronics.
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Affiliation(s)
- Ya‐Lei Li
- School of Optoelectronic Science and Engineering Soochow University Suzhou Jiangsu 215006 P. R. China
| | - Yan‐Hua Liu
- School of Optoelectronic Science and Engineering Soochow University Suzhou Jiangsu 215006 P. R. China
| | - Lin‐Sen Chen
- School of Optoelectronic Science and Engineering Soochow University Suzhou Jiangsu 215006 P. R. China
| | - Jian‐Long Xu
- Institute of Functional Nano & Soft Materials (FUNSOM) Jiangsu Key Laboratory for Carbon‐Based Functional Materials & Devices Soochow University Suzhou Jiangsu 215123 P. R. China
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Luo TT, Sun ZH, Li CX, Feng JL, Xiao ZX, Li WD. Monitor for lactate in perspiration. J Physiol Sci 2021; 71:26. [PMID: 34445952 PMCID: PMC10717619 DOI: 10.1186/s12576-021-00811-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/07/2021] [Indexed: 12/18/2022]
Abstract
Sweat is a noninvasive biological fluid on the surface of human skin and has attracted increasing attention as a diagnostic specimen for disease and biomarker detection. Sweat metabolite quantification is possible due to progress in sweat analysis techniques; nevertheless, the role of sweat monitoring in energy metabolism, physiological or pathological state assessment, health status assessment, and the development and outcome of metabolism-related diseases remains unclear. This review provides a comprehensive overview of the literature on human sweat lactate concentration. The first, second, and third sections of this review present an introduction of sweat lactate, methods for the collection and storage of sweat lactate samples, and methods of detection and analysis of sweat lactate, respectively. The fourth section elaborates upon the current state of clinical application of sweat lactate monitoring and its prospects for health surveillance. The last section focuses on the challenges and future directions of this novel technology for detecting lactate in sweat.
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Affiliation(s)
- Ting-Ting Luo
- School of Nursing, Institute of Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zhong-Hai Sun
- Department of Surgery, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China
| | - Chu-Xin Li
- Department of Thoracic Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jin-Lian Feng
- School of Nursing, Institute of Health, Guangdong Pharmaceutical University, Guangzhou, China
| | - Zhao-Xiu Xiao
- Department of Cardiac Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wei-Dong Li
- School of Nursing, Institute of Health, Guangdong Pharmaceutical University, Guangzhou, China.
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Moon J, Teymourian H, De la Paz E, Sempionatto JR, Mahato K, Sonsa‐ard T, Huang N, Longardner K, Litvan I, Wang J. Non‐Invasive Sweat‐Based Tracking of L‐Dopa Pharmacokinetic Profiles Following an Oral Tablet Administration. Angew Chem Int Ed Engl 2021. [DOI: 10.1002/ange.202106674] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Jong‐Min Moon
- Department of Nanoengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Hazhir Teymourian
- Department of Nanoengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Ernesto De la Paz
- Department of Nanoengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Juliane R. Sempionatto
- Department of Nanoengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Kuldeep Mahato
- Department of Nanoengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Thitaporn Sonsa‐ard
- Department of Nanoengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Nickey Huang
- Department of Nanoengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Katherine Longardner
- Department of Neurosciences University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Irene Litvan
- Department of Neurosciences University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
| | - Joseph Wang
- Department of Nanoengineering University of California San Diego 9500 Gilman Drive La Jolla CA 92093 USA
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Dai Z, Guo J, Zhao C, Gao Z, Song YY. Fabrication of Homochiral Metal-Organic Frameworks in TiO 2 Nanochannels for In Situ Identification of 3,4-Dihydroxyphenylalanine Enantiomers. Anal Chem 2021; 93:11515-11524. [PMID: 34378917 DOI: 10.1021/acs.analchem.1c01903] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Enantioselective identification of chiral molecules is important for biomedical and pharmaceutical research. However, owing to identical molecular formulas and chemical properties of enantiomers, signal transduction and amplification are still the two major challenges in chiral sensing. In this study, we developed an enantioselective membrane by integrating homochiral metal-organic frameworks (MOFs) with nanochannels for the sensitive identification and quantification of chiral compounds. The membrane was designed using a TiO2 nanochannel membrane (TiNM) as the metal ion precursor of MOFs (using MIL-125(Ti)) and incorporating l-glutamine (l-Glu) into the framework of MIL-125(Ti). Using 3,4-dihydroxyphenylalanine (DOPA) as the model analyte, the as-prepared homochiral l-Glu/MIL-125(Ti)/TiNM exhibits a remarkable chiral recognition to d-DOPA than l-DOPA. More importantly, benefiting from the highly enlarged surface area and confinement effect provided by the MOFs-in-nanochannel architecture, the discrimination for chiral recognition is largely amplified through the chelation interaction of Fenton-like activity of Fe3+ onto DOPA. Using 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonate) (ABTS) as the substrate, the positively charged ABTS•+ product via Fenton-like reaction induces significant ionic transport changes in nanochannels, which in turn provides information about chiral recognition. This innovative signal amplification strategy on homochiral nanochannels might pave a new way for sensitive monitoring and chiral recognition.
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Affiliation(s)
- Zhenqing Dai
- College of Science, Northeastern University, Shenyang 110004, China
| | - Junli Guo
- College of Science, Northeastern University, Shenyang 110004, China
| | - Chenxi Zhao
- College of Science, Northeastern University, Shenyang 110004, China
| | - Zhida Gao
- College of Science, Northeastern University, Shenyang 110004, China
| | - Yan-Yan Song
- College of Science, Northeastern University, Shenyang 110004, China
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Xu J, Fang Y, Chen J. Wearable Biosensors for Non-Invasive Sweat Diagnostics. BIOSENSORS 2021; 11:245. [PMID: 34436047 PMCID: PMC8391966 DOI: 10.3390/bios11080245] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/16/2021] [Accepted: 07/20/2021] [Indexed: 12/13/2022]
Abstract
Recent advances in microfluidics, microelectronics, and electrochemical sensing methods have steered the way for the development of novel and potential wearable biosensors for healthcare monitoring. Wearable bioelectronics has received tremendous attention worldwide due to its great a potential for predictive medical modeling and allowing for personalized point-of-care-testing (POCT). They possess many appealing characteristics, for example, lightweight, flexibility, good stretchability, conformability, and low cost. These characteristics make wearable bioelectronics a promising platform for personalized devices. In this paper, we review recent progress in flexible and wearable sensors for non-invasive biomonitoring using sweat as the bio-fluid. Real-time and molecular-level monitoring of personal health states can be achieved with sweat-based or perspiration-based wearable biosensors. The suitability of sweat and its potential in healthcare monitoring, sweat extraction, and the challenges encountered in sweat-based analysis are summarized. The paper also discusses challenges that still hinder the full-fledged development of sweat-based wearables and presents the areas of future research.
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Affiliation(s)
- Jing Xu
- School of Electrical & Electronic Engineering, North China Electric Power University, Beijing 102206, China;
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA;
| | - Yunsheng Fang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA;
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA;
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