1
|
Wang Y, Zhang Z, Shi Y, Yu X, Zhang X, Ma X, Su J, Ding R, Lin Y. Epidermal secretion-purified biosensing patch with hydrogel sebum filtering membrane and unidirectional flow microfluidic channels. Biomaterials 2025; 313:122810. [PMID: 39243673 DOI: 10.1016/j.biomaterials.2024.122810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2024] [Revised: 08/22/2024] [Accepted: 09/02/2024] [Indexed: 09/09/2024]
Abstract
The development of biosensing electronics for real-time sweat analysis has attracted increasing research interest due to their promising applications for non-invasive health monitoring. However, one of the critical challenges lies in the sebum interference that largely limits the sensing reliability in practical scenarios. Herein, we report a flexible epidermal secretion-purified biosensing patch with a hydrogel filtering membrane that can effectively eliminate the impact of sebum and sebum-soluble substances. The as-prepared sebum filtering membranes feature a dual-layer sebum-resistant structure based on the poly(hydroxyethyl methacrylate) hydrogel functionalized with nano-brush structured poly(sulfobetaine) to eliminate interferences and provide self-cleaning capability. Furthermore, the unidirectional flow microfluidic channels design based on the Tesla valve was incorporated into the biosensing patch to prevent external sebum contamination and allow effective sweat refreshing for reliable sensing. By seamlessly combining these components, the epidermal secretion-purified biosensing patch enables continuous monitoring of sweat uric acid, pH, and sodium ions with significantly improved accuracy of up to 12 %. The proposed strategy for enhanced sweat sensing reliability without sebum interference shows desirable compatibility for different types of biosensors and would inspire the advances of flexible and wearable devices for non-invasive healthcare.
Collapse
Affiliation(s)
- Yuqi Wang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Ziyu Zhang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yuqing Shi
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Xiong Yu
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Xinyi Zhang
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Xiaohao Ma
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Junjie Su
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Ruochen Ding
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yuanjing Lin
- School of Microelectronics, Southern University of Science and Technology, Shenzhen, 518055, China.
| |
Collapse
|
2
|
Antonelli G, Filippi J, D'Orazio M, Curci G, Casti P, Mencattini A, Martinelli E. Integrating machine learning and biosensors in microfluidic devices: A review. Biosens Bioelectron 2024; 263:116632. [PMID: 39116628 DOI: 10.1016/j.bios.2024.116632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 08/10/2024]
Abstract
Microfluidic devices are increasingly widespread in the literature, being applied to numerous exciting applications, from chemical research to Point-of-Care devices, passing through drug development and clinical scenarios. Setting up these microenvironments, however, introduces the necessity of locally controlling the variables involved in the phenomena under investigation. For this reason, the literature has deeply explored the possibility of introducing sensing elements to investigate the physical quantities and the biochemical concentration inside microfluidic devices. Biosensors, particularly, are well known for their high accuracy, selectivity, and responsiveness. However, their signals could be challenging to interpret and must be carefully analysed to carry out the correct information. In addition, proper data analysis has been demonstrated even to increase biosensors' mentioned qualities. To this regard, machine learning algorithms are undoubtedly among the most suitable approaches to undertake this job, automatically learning from data and highlighting biosensor signals' characteristics at best. Interestingly, it was also demonstrated to benefit microfluidic devices themselves, in a new paradigm that the literature is starting to name "intelligent microfluidics", ideally closing this benefic interaction among these disciplines. This review aims to demonstrate the advantages of the triad paradigm microfluidics-biosensors-machine learning, which is still little used but has a great perspective. After briefly describing the single entities, the different sections will demonstrate the benefits of the dual interactions, highlighting the applications where the reviewed triad paradigm was employed.
Collapse
Affiliation(s)
- Gianni Antonelli
- Department of Electronic Engineering & Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy
| | - Joanna Filippi
- Department of Electronic Engineering & Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy
| | - Michele D'Orazio
- Department of Electronic Engineering & Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy
| | - Giorgia Curci
- Department of Electronic Engineering & Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy
| | - Paola Casti
- Department of Electronic Engineering & Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy
| | - Arianna Mencattini
- Department of Electronic Engineering & Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy
| | - Eugenio Martinelli
- Department of Electronic Engineering & Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (ICLOC), University of Rome Tor Vergata, Via del Politecnico, 1, 00133, Rome, Italy.
| |
Collapse
|
3
|
Atta S, Vo-Dinh T. Improved solution-based SERS detection of creatinine by inducing hydrogen-bonding interaction for effective analyte capture. Talanta 2024; 278:126373. [PMID: 38901075 DOI: 10.1016/j.talanta.2024.126373] [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: 02/12/2024] [Revised: 05/20/2024] [Accepted: 06/05/2024] [Indexed: 06/22/2024]
Abstract
Recently, solution-based surface-enhanced Raman scattering (SERS) detection technique has been widely recognized due to its cost-effectiveness, simplicity, and ease of use. However, solution-based SERS is limited for practical applications mainly because of the weak adsorption affinity of the target biomolecules to the surface of plasmonic nanoparticles. Herein, we developed a highly sensitive solution-based SERS sensing platform based on mercaptopropionic acid (MPA)-capped silver-coated gold nanostars (SGNS@MPA), which allows efficient enrichment on the nanostars surface for improved detection of an analyte: creatinine, a potential biomarker of chronic kidney disease (CKD). The SGNS@MPA exhibited high enrichment ability towards creatinine molecules in alkaline medium (pH-9) through multiple hydrogen bonding interaction, which causes aggregation of the nanoparticles and enhances the SERS signal of creatinine. The detection limit for creatinine was achieved at 0.1 nM, with a limit of detection (LOD) value of 14.6 pM. As a proof-of-concept demonstration, we conducted the first quantitative detection of creatinine in noninvasive human fluids, such as saliva and sweat, under separation-free conditions. We achieved a detection limit of up to 1 nM for both saliva and sweat, with LOD values as low as 0.136 nM for saliva and 0.266 nM for sweat. Overall, our molecular enrichment strategy offers a new way to improve the solution-based SERS detection technique for real-world practical applications in point-of-care settings and low-resource settings.
Collapse
Affiliation(s)
- Supriya Atta
- Fitzpatrick Institute for Photonics, Durham, NC, 27708, USA; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA
| | - Tuan Vo-Dinh
- Fitzpatrick Institute for Photonics, Durham, NC, 27708, USA; Department of Biomedical Engineering, Duke University, Durham, NC, 27708, USA; Department of Chemistry, Duke University, Durham, NC, 27708, USA.
| |
Collapse
|
4
|
Wu Y, Li X, Madsen KE, Zhang H, Cho S, Song R, Nuxoll RF, Xiong Y, Liu J, Feng J, Yang T, Zhang K, Aranyosi AJ, Wright DE, Ghaffari R, Huang Y, Nuzzo RG, Rogers JA. Skin-interfaced microfluidic biosensors for colorimetric measurements of the concentrations of ketones in sweat. LAB ON A CHIP 2024; 24:4288-4295. [PMID: 39193649 DOI: 10.1039/d4lc00588k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/29/2024]
Abstract
Ketones, such as beta-hydroxybutyrate (BHB), are important metabolites that can be used to monitor for conditions such as diabetic ketoacidosis (DKA) and ketosis. Compared to conventional approaches that rely on samples of urine or blood evaluated using laboratory techniques, processes for monitoring of ketones in sweat using on-body sensors offer significant advantages. Here, we report a class of soft, skin-interfaced microfluidic devices that can quantify the concentrations of BHB in sweat based on simple and low-cost colorimetric schemes. These devices combine microfluidic structures and enzymatic colorimetric BHB assays for selective and accurate analysis. Human trials demonstrate the broad applicability of this technology in practical scenarios, and they also establish quantitative correlations between the concentration of BHB in sweat and in blood. The results represent a convenient means for managing DKA and aspects of personal nutrition/wellness.
Collapse
Affiliation(s)
- Yunyun Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
| | - Xinming Li
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Kenneth E Madsen
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
| | - Haohui Zhang
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Soongwon Cho
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
| | - Ruihao Song
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
| | - Ravi F Nuxoll
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA
| | - Yirui Xiong
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
| | - Jiaqi Liu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
| | - Jingyuan Feng
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Tianyu Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
| | - Kaiqing Zhang
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
- State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116024, Liaoning, China
| | - Alexander J Aranyosi
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
- Epicore Biosystems, Inc., Cambridge, MA 02139, USA
| | | | - Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Epicore Biosystems, Inc., Cambridge, MA 02139, USA
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Ralph G Nuzzo
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bio-Integrated Electronics, Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Neurological Surgery, Northwestern University, Evanston, IL 60208, USA
| |
Collapse
|
5
|
Huang Y, Zhong H, Yang R, Pan Y, Lin J, Lee CKW, Chen S, Tan M, Lu X, Poon WY, Yuan Q, Li MG. Multifunctional laser-induced graphene circuits and laser-printed nanomaterials toward non-invasive human kidney function monitoring. Biosens Bioelectron 2024; 259:116386. [PMID: 38749285 DOI: 10.1016/j.bios.2024.116386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/29/2024] [Accepted: 05/12/2024] [Indexed: 06/03/2024]
Abstract
Faced with the increasing prevalence of chronic kidney disease (CKD), portable monitoring of CKD-related biomarkers such as potassium ion (K+), creatinine (Cre), and lactic acid (Lac) levels in sweat has shown tremendous potential for early diagnosis. However, a rapidly manufacturable portable device integrating multiple CKD-related biomarker sensors for ease of sweat testing use has yet to be reported. Here, a portable electrochemical sensor integrated with multifunctional laser-induced graphene (LIG) circuits and laser-printed nanomaterials based working electrodes fabricated by fully automatic laser manufacturing is proposed for non-invasive human kidney function monitoring. The sensor comprises a two-electrode LIG circuit for K+ sensing, a three-electrode LIG circuit with a Kelvin compensating connection for Cre and Lac sensing, and a printed circuit board based portable electrochemical workstation. The working electrodes containing Cu and Cu2O nanoparticles fabricated by two-step laser printing show good sensitivity and selectivity toward Cre and Lac sensing. The sensor circuits are fabricated by generating a hydrophilic-hydrophobic interface on a patterned LIG through laser. This sensor recruited rapid laser manufacturing and integrated with multifunctional LIG circuits and laser-printed nanomaterials based working electrodes, which is a potential kidney function monitoring solution for healthy people and kidney disease patients.
Collapse
Affiliation(s)
- Yangyi Huang
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Haosong Zhong
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Rongliang Yang
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Yexin Pan
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China; Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Jing Lin
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Connie Kong Wai Lee
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Siyu Chen
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Min Tan
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Xupeng Lu
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Wing Yan Poon
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Qiaoyaxiao Yuan
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
| | - Mitch Guijun Li
- Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China; Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China.
| |
Collapse
|
6
|
Singaram S, Ramakrishnan K, Selvam J, Senthil M, Narayanamurthy V. Sweat gland morphology and physiology in diabetes, neuropathy, and nephropathy: a review. Arch Physiol Biochem 2024; 130:437-451. [PMID: 36063413 DOI: 10.1080/13813455.2022.2114499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 08/02/2022] [Indexed: 11/02/2022]
Abstract
Context: Sweat glands (SGs) play a vital role in thermal regulation. The function and structure are altered during the different pathological conditions.Objective: These alterations are studied through three techniques: biopsy, sweat analytes and electrical activity of SG.Methods: The morphological study of SG through biopsy and various techniques involved in quantifying sweat analytes is focussed on here. Electrical activities of SG in diabetes, neuropathy and nephropathy cases are also discussed, highlighting their limitations and future scope.Results and Conclusion: The result of this review identified three areas of the knowledge gap. The first is wearable sensors to correlate pathological conditions. Secondly, there is no device to look for its structure and quantify its associated function. Finally, therapeutic applications of SG are explored, especially for renal failure. With these aspects, this paper provides information collection and correlates SG with pathologies related to diabetes. Hence this could help researchers develop suitable technologies for the gaps identified.
Collapse
Affiliation(s)
- Sudha Singaram
- Department of Biomedical Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India
| | - Kalpana Ramakrishnan
- Department of Biomedical Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India
| | - Jayashree Selvam
- Department of Biomedical Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India
| | - Mallika Senthil
- Department of Biomedical Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India
| | - Vigneswaran Narayanamurthy
- Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
| |
Collapse
|
7
|
Boukherroub R, Szunerits S. The Future of Nanotechnology-Driven Electrochemical and Electrical Point-of-Care Devices and Diagnostic Tests. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2024; 17:173-195. [PMID: 39018353 DOI: 10.1146/annurev-anchem-061622-012029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/19/2024]
Abstract
Point-of-care (POC) devices have become rising stars in the biosensing field, aiming at prognosis and diagnosis of diseases with a positive impact on the patient but also on healthcare and social care systems. Putting the patient at the center of interest requires the implementation of noninvasive technologies for collecting biofluids and the development of wearable platforms with integrated artificial intelligence-based tools for improved analytical accuracy and wireless readout technologies. Many electrical and electrochemical transducer technologies have been proposed for POC-based sensing, but several necessitate further development before being widely deployable. This review focuses on recent innovations in electrochemical and electrical biosensors and their growth opportunities for nanotechnology-driven multidisciplinary approaches. With a focus on analytical aspects to pave the way for future electrical/electrochemical diagnostics tests, current limitations and drawbacks as well as directions for future developments are highlighted.
Collapse
Affiliation(s)
- Rabah Boukherroub
- Université de Lille, CNRS, Université Polytechnique Hauts-de-France, UMR 8520-IEMN, Lille, France;
| | - Sabine Szunerits
- Université de Lille, CNRS, Université Polytechnique Hauts-de-France, UMR 8520-IEMN, Lille, France;
| |
Collapse
|
8
|
Wei L, Zhou J, Li Z, Zhu H, Wu H, Zhu Y, Liu A. Quantitative analysis of sweat evaporation loss in epidermal microfluidic patches. RSC Adv 2024; 14:18406-18416. [PMID: 38860253 PMCID: PMC11163416 DOI: 10.1039/d4ra03483j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Accepted: 06/03/2024] [Indexed: 06/12/2024] Open
Abstract
Sweat analysis is identified as a promising biochemical technique for the non-invasive assessment of human health status. Epidermal microfluidic patches are the predominant sweat sampling and sensing devices. However, the sweat stored inside the patches may suffer from evaporation loss of moisture, which can increase the concentration of biomarkers and cause the biochemical analysis results of sweat to deviate from the actual results. This study focuses on quantitatively analysing the sweat evaporation loss within epidermal microfluidic patches. Analytical models based on the dissolution diffusion mechanism and corresponding partial differential equations for the diffusion process were initially developed. The analytical solution of the equation was derived using the method of separation of variables, and the steady-state concentration distribution of water in the materials of microfluidic patches was calculated when considering the application of epidermal microfluidics. Evaporation losses of sweat through different paths were quantitatively calculated and analysed, including permeation through covers, diffusion along microchannels, and absorption by sidewalls. Then, experiments on the evaporation loss of sweat within microfluidic patches were conducted to validate the theoretical calculations and analytical results. At last, the design of the anti-evaporation structure for microfluidic patches was discussed. This study can provide theoretical and experimental references for the design of water-retention structures in epidermal microfluidic patches, which significantly enhances the overall reliability of sweat biochemical analysis results.
Collapse
Affiliation(s)
- Lei Wei
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, College of Science, Zhejiang Sci-Tech University Hangzhou 310018 P.R. China
| | - Jingjing Zhou
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
| | - Zhen Li
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
| | - Hui Zhu
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
| | - Huaping Wu
- Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education and Zhejiang Province, College of Mechanical Engineering, Zhejiang University of Technology Hangzhou 310023 P.R. China
| | - Yong Zhu
- Key Laboratory of Functional Materials and Devices for Informatics of Anhui Higher Education Institute, Fuyang Normal University Fuyang 236037 P.R. China
| | - Aiping Liu
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, College of Science, Zhejiang Sci-Tech University Hangzhou 310018 P.R. China
| |
Collapse
|
9
|
Kim J, Oh S, Yang DS, Rugg L, Mathur R, Kwak SS, Yoo S, Li S, Kanatzidis EE, Lee G, Yoon HJ, Huang Y, Ghaffari R, McColley SA, Rogers JA. A skin-interfaced, miniaturized platform for triggered induction, capture and colorimetric multicomponent analysis of microliter volumes of sweat. Biosens Bioelectron 2024; 253:116166. [PMID: 38428069 DOI: 10.1016/j.bios.2024.116166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/15/2024] [Accepted: 02/21/2024] [Indexed: 03/03/2024]
Abstract
Eccrine sweat can serve as a source of biomarkers for assessing physiological health and nutritional balance, for tracking loss of essential species from the body and for evaluating exposure to hazardous substances. The growing interest in this relatively underexplored class of biofluid arises in part from its non-invasive ability for capture and analysis. The simplest devices, and the only ones that are commercially available, exploit soft microfluidic constructs and colorimetric assays with purely passive modes of operation. The most sophisticated platforms exploit batteries, electronic components and radio hardware for inducing sweat, for electrochemical evaluation of its content and for wireless transmission of this information. The work reported here introduces a technology that combines the advantages of these two different approaches, in the form of a cost-effective, easy-to-use device that supports on-demand evaluation of multiple biomarkers in sweat. This flexible, skin-interfaced, miniaturized system incorporates a hydrogel that contains an approved drug to activate eccrine sweat glands, electrodes and a simple circuit and battery to delivery this drug by iontophoresis through the surface of the skin, microfluidic channels and microreservoirs to capture the induced sweat, and multiple colorimetric assays to evaluate the concentrations of chloride, zinc, and iron. As demonstrated in healthy human participants monitored before and after a meal, such devices yield results that match those of traditional laboratory analysis techniques. Clinical studies that involve cystic fibrosis pediatric patients illustrate the use of this technology as a simple, painless, and reliable alternative to traditional hospital systems for measurements of sweat chloride.
Collapse
Affiliation(s)
- Joohee Kim
- Center for Bionics of Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea; Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Precision Biology Research Center, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Seyong Oh
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Division of Electrical Engineering, Hanyang University ERICA, Ansan, 15588, Republic of Korea
| | - Da Som Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Larissa Rugg
- Division of Pulmonary and Sleep Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA
| | - Radhika Mathur
- Division of Pulmonary and Sleep Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA
| | - Sung Soo Kwak
- Center for Bionics of Biomedical Research Division, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea; Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Seonggwang Yoo
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Shupeng Li
- Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Evangelos E Kanatzidis
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Geumbee Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA
| | - Hong-Joon Yoon
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Electronic Engineering, Gachon University, Seongnam-si, Gyeonggi-do 13120, Republic of Korea
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA
| | - Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA; Epicore Biosystems Inc., Cambridge, MA, 02139, USA
| | - Susanna A McColley
- Division of Pulmonary and Sleep Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, 60611, USA; Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA; Department of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA; Department of Biomedical Engineering, Northwestern University, Evanston, IL, 60208, USA; Epicore Biosystems Inc., Cambridge, MA, 02139, USA; Department of Materials Science and Engineering, Northwestern University, Evanston, IL, 60208, USA; Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
| |
Collapse
|
10
|
Adelaars S, Konings CJAM, Cox L, Boonen E, Mischi M, Bouwman RA, van de Kerkhof D. The correlation of urea and creatinine concentrations in sweat and saliva with plasma during hemodialysis: an observational cohort study. Clin Chem Lab Med 2024; 62:1118-1125. [PMID: 38253354 DOI: 10.1515/cclm-2023-1285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/03/2024] [Indexed: 01/24/2024]
Abstract
OBJECTIVES Urea and creatinine concentrations in plasma are used to guide hemodialysis (HD) in patients with end-stage renal disease (ESRD). To support individualized HD treatment in a home situation, there is a clinical need for a non-invasive and continuous alternative to plasma for biomarker monitoring during and between cycles of HD. In this observational study, we therefore established the correlation of urea and creatinine concentrations between sweat, saliva and plasma in a cohort of ESRD patients on HD. METHODS Forty HD patients were recruited at the Dialysis Department of the Catharina Hospital Eindhoven. Sweat and salivary urea and creatinine concentrations were analyzed at the start and at the end of one HD cycle and compared to the corresponding plasma concentrations. RESULTS A decrease of urea concentrations during HD was observed in sweat, from 27.86 mmol/L to 12.60 mmol/L, and saliva, from 24.70 mmol/L to 5.64 mmol/L. Urea concentrations in sweat and saliva strongly correlated with the concentrations in plasma (ρ 0.92 [p<0.001] and 0.94 [p<0.001], respectively). Creatinine concentrations also decreased in sweat from 43.39 μmol/L to 19.69 μmol/L, and saliva, from 59.00 μmol/L to 13.70 μmol/L. However, for creatinine, correlation coefficients were lower than for urea for both sweat and saliva compared to plasma (ρ: 0.58 [p<0.001] and 0.77 [p<0.001], respectively). CONCLUSIONS The results illustrate a proof of principle of urea measurements in sweat and saliva to monitor HD adequacy in a non-invasive and continuous manner. Biosensors enabling urea monitoring in sweat or saliva could fill in a clinical need to enable at-home HD for more patients and thereby decrease patient burden.
Collapse
Affiliation(s)
- Sophie Adelaars
- Department of Electrical Engineering, Signal Processing Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
- Department of Anesthesiology, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
- Clinical Laboratory, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
| | - Constantijn J A M Konings
- Department Internal Medicine and Kidney Diseases, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
| | - Lieke Cox
- Royal Philips, Eindhoven, The Netherlands
| | - Eva Boonen
- Department of Anesthesiology and Intensive Care Medicine, General Hospital Turnhout, Turnhout, Belgium
| | - Massimo Mischi
- Department of Electrical Engineering, Signal Processing Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - R Arthur Bouwman
- Department of Electrical Engineering, Signal Processing Systems, Eindhoven University of Technology, Eindhoven, The Netherlands
- Department of Anesthesiology, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
| | - Daan van de Kerkhof
- Clinical Laboratory, Catharina Hospital Eindhoven, Eindhoven, The Netherlands
- Department of Biomedical Engineering, Chemical Biology, Eindhoven University of Technology, Eindhoven, The Netherlands
| |
Collapse
|
11
|
Rath RJ, Herrington JO, Adeel M, Güder F, Dehghani F, Farajikhah S. Ammonia detection: A pathway towards potential point-of-care diagnostics. Biosens Bioelectron 2024; 251:116100. [PMID: 38364327 DOI: 10.1016/j.bios.2024.116100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 01/11/2024] [Accepted: 02/01/2024] [Indexed: 02/18/2024]
Abstract
Invasive methods such as blood collection and biopsy are commonly used for testing liver and kidney function, which are painful, time-consuming, require trained personnel, and may not be easily accessible to people for their routine checkup. Early diagnosis of liver and kidney diseases can prevent severe symptoms and ensure better management of these patients. Emerging approaches such as breath and sweat analysis have shown potential as non-invasive methods for disease diagnosis. Among the many markers, ammonia is often used as a biomarker for the monitoring of liver and kidney functions. In this review we provide an insight into the production and expulsion of ammonia gas in the human body, the different diseases that could potentially use ammonia as biomarker and analytical devices such as chemiresistive gas sensors for non-invasive monitoring of this gas. The review also provides an understanding into the different materials, doping agents and substrates used to develop such multifunctional sensors. Finally, the current challenges and the possible future trends have been discussed.
Collapse
Affiliation(s)
- Ronil J Rath
- School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Jack O Herrington
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Muhammad Adeel
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK
| | - Firat Güder
- Department of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
| | - Fariba Dehghani
- School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW, 2006, Australia; The University of Sydney, Sydney Nano Institute, Sydney, NSW, 2006, Australia.
| | - Syamak Farajikhah
- School of Chemical and Biomolecular Engineering, The University of Sydney, Sydney, NSW, 2006, Australia; The University of Sydney, Sydney Nano Institute, Sydney, NSW, 2006, Australia.
| |
Collapse
|
12
|
Li F, Jiang J, Shen N, Peng H, Luo Y, Li N, Huang L, Lu Y, Liu L, Li B, He J. Flexible microfluidic colorimetric detection chip integrated with ABTS ·+ and Co@MnO 2 nanozyme catalyzed TMB reaction systems for bio-enzyme free detection of sweat uric acid. Anal Chim Acta 2024; 1299:342453. [PMID: 38499424 DOI: 10.1016/j.aca.2024.342453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/03/2024] [Accepted: 03/05/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND The development of wearable detection devices that can achieve noninvasive, on-site and real-time monitoring of sweat metabolites is of great demand and practical significance for point-of-care testing and healthcare monitoring. Monitoring uric acid (UA) content in sweat provides a simple and promising way to reduce the risk of gout and hyperuricemia. Traditional bioenzyme based UA assays suffer from high cost, poor stability, inconvenience for storage and easy deactivation of bioenzymes. Wearable microfluidic colorimetric detection device for sweat UA detection has not been reported. The development of novel wearable microfluidic colorimetric detection chip with no requirement of bioenzymes for sweat UA detection is of great importance for health care monitoring. RESULTS Firstly, Co@MnO2 nanozyme with high oxidase-like activity was synthesized and characterized. Co@MnO2 can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) directly to generate blue-green colored ox-TMB. Green colored 2,2'-Azinobis-(3-ethylbenzthiazoline-6-sulphonate) radical (ABTS·+) was produced by the oxidation of ABTS by potassium persulfate. UA exhibits distinct quenching effect on Co@MnO2 catalyzed TMB colorimetric reaction system and ABTS·+ based colorimetric system, leading to obvious color fading of the two colorimetric systems. Then, a flexible microfluidic colorimetric detection chip for UA detection was fabricated by assembling Co@MnO2/TMB modified paper chips and ABTS·+ modified paper chips into a polydimethylsiloxane (PDMS) microfluidic chip. The fabricated microfluidic colorimetric detection chip exhibits good linear relationship for sweat UA detection. The linear range is from 20 to 200 μmol/L with detection limit as low as 6.6 μmol/L. Good results were obtained for the detection of UA in actual sweat from three volunteers. SIGNIFICANCE This work provides two bio-enzyme free colorimetric detection systems for UA detection. Furthermore, a simple, low-cost and selective flexible wearable microfluidic colorimetric detection chip was fabricated for noninvasive and on-site detection of sweat UA, which holds great application potential for personal health monitoring and point-of-care testing.
Collapse
Affiliation(s)
- Fang Li
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China.
| | - Jianming Jiang
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Nuotong Shen
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Hao Peng
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Yi Luo
- Micro/Nano Fabrication Laboratory, Microsystem & Terahertz Research Center, China Academy of Engineering Physics (CAEP), Chengdu, Sichuan, 610200, China
| | - Nannan Li
- Micro/Nano Fabrication Laboratory, Microsystem & Terahertz Research Center, China Academy of Engineering Physics (CAEP), Chengdu, Sichuan, 610200, China; Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang, 621900, China
| | - Liyang Huang
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Yuyang Lu
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Lifu Liu
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| | - Bing Li
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China.
| | - Jianbo He
- Anhui Province Key Laboratory of Value-Added Catalytic Conversion and Reaction Engineering, Anhui Province Engineering Research Center of Flexible and Intelligent Materials School of Chemistry and Chemical Engineering, School of Chemistry and Chemical Engineering, Hefei University of Technology, Hefei, Anhui, 230009, China
| |
Collapse
|
13
|
Adane AM, Park SY. Photonic Interpenetrating Polymer Network Fibers Comprising Intertwined Solid-State Cholesteric Liquid Crystal and Polyelectrolyte Networks for Sensor Applications. ACS APPLIED MATERIALS & INTERFACES 2024; 16:16830-16843. [PMID: 38509801 DOI: 10.1021/acsami.4c00920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
Uniform-sized photonic interpenetrating polymer network (IPN) fibers comprising intertwined solid-state cholesteric liquid crystal (CLCsolid) and anionic poly(acrylic acid) (PAA) or cationic poly(2-dimethylaminoethyl methacrylate) (PDMAEMA) networks (photonic IPNPAA or IPNPDMAEMA fibers) were developed for sensor applications. IPNPAA or IPNPDMAEMA fibers with a perfect photonic structure were fabricated inside Teflon tube templates without any treatments for realizing a planar orientation in those fibers. The dominant wavelength of the photonic color from a photograph taken with a cellular phone was used to measure the photonic color change. Photonic IPNPAA fibers treated with KOH (IPNKOH fibers) were used for sensing humidity and divalent metal ions. The linear ranges for relative humidity and Ca2+ detection were 21-92% and 0.5-3.5 mM, and their limits of detection (LODs) were 7.86% and 0.07 mM, respectively. The photonic IPNPAA (or IPNPDMAEMA) fiber immobilized with urease (IPNPAA-urease) (or glucose oxidase (IPNPDMAEMA-GOx)) was used for urea (or glucose) biosensor application. The photonic IPNPAA-urease (or IPNPDMAEMA-GOx) fiber was red-shifted in response to urea (or glucose) in the linear range of 10-60 mM (or 2-16 mM) with an LOD of 2.54 mM (or 0.76 mM). These photonic IPN fibers are promising because of their easy fabrication and miniaturization, battery-free device, cost-effectiveness, and visual detection without using sophisticated analytical instruments. The developed photonic IPN fibers provide new possibilities for the widespread use of photonic sensors in cutting-edge wearable technology and beyond.
Collapse
Affiliation(s)
- Amhagiyorgis Mesfin Adane
- School of Applied Chemical Engineering, Polymeric Nano Materials Laboratory, Kyungpook National University, Daegu 41566, Republic of Korea
| | - Soo-Young Park
- School of Applied Chemical Engineering, Polymeric Nano Materials Laboratory, Kyungpook National University, Daegu 41566, Republic of Korea
| |
Collapse
|
14
|
Anton-Păduraru DT, Azoicăi AN, Trofin F, Mîndru DE, Murgu AM, Bocec AS, Iliescu Halițchi CO, Ciongradi CI, Sȃrbu I, Iliescu ML. Diagnosing Cystic Fibrosis in the 21st Century-A Complex and Challenging Task. Diagnostics (Basel) 2024; 14:763. [PMID: 38611676 PMCID: PMC11012009 DOI: 10.3390/diagnostics14070763] [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: 03/04/2024] [Revised: 03/24/2024] [Accepted: 03/28/2024] [Indexed: 04/14/2024] Open
Abstract
Cystic fibrosis (CF) is a chronic and potentially life-threatening condition, wherein timely diagnosis assumes paramount significance for the prompt initiation of therapeutic interventions, thereby ameliorating pulmonary function, addressing nutritional deficits, averting complications, mitigating morbidity, and ultimately enhancing the quality of life and extending longevity. This review aims to amalgamate existing knowledge to provide a comprehensive appraisal of contemporary diagnostic modalities pertinent to CF in the 21st century. Deliberations encompass discrete delineations of each diagnostic modality and the elucidation of potential diagnostic quandaries encountered in select instances, as well as the delineation of genotype-phenotype correlations germane to genetic counseling endeavors. The synthesis underscores that, notwithstanding the availability and strides in diagnostic methodologies, including genetic assays, the sweat test (ST) retains its position as the preeminent diagnostic standard for CF, serving as a robust surrogate for CFTR functionality. Prospective clinical investigations in the realm of CF should be orchestrated with the objective of discerning novel diagnostic modalities endowed with heightened specificity and sensitivity.
Collapse
Affiliation(s)
- Dana-Teodora Anton-Păduraru
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
| | - Alice Nicoleta Azoicăi
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
| | - Felicia Trofin
- Department of Preventive Medicine and Interdisciplinarity—Microbiology, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania
| | - Dana Elena Mîndru
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
| | - Alina Mariela Murgu
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
| | - Ana Simona Bocec
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
| | - Codruța Olimpiada Iliescu Halițchi
- Department of Mother and Child Medicine, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania; (D.-T.A.-P.); (A.N.A.); (D.E.M.); (A.M.M.); (A.S.B.); (C.O.I.H.)
| | - Carmen Iulia Ciongradi
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
- 2nd Department of Surgery, Pediatric Surgery and Orthopedics, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania
| | - Ioan Sȃrbu
- “Sf.Maria” Children Emergency Hospital, 700309 Iaṣi, Romania; (C.I.C.); (I.S.)
- 2nd Department of Surgery, Pediatric Surgery and Orthopedics, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania
| | - Maria Liliana Iliescu
- Department of Preventive Medicine and Interdisciplinarity—Public Health and Health Management, “Grigore T. Popa” University of Medicine and Pharmacy, 700115 Iaṣi, Romania;
| |
Collapse
|
15
|
Apoorva S, Nguyen NT, Sreejith KR. Recent developments and future perspectives of microfluidics and smart technologies in wearable devices. LAB ON A CHIP 2024; 24:1833-1866. [PMID: 38476112 DOI: 10.1039/d4lc00089g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Wearable devices are gaining popularity in the fields of health monitoring, diagnosis, and drug delivery. Recent advances in wearable technology have enabled real-time analysis of biofluids such as sweat, interstitial fluid, tears, saliva, wound fluid, and urine. The integration of microfluidics and emerging smart technologies, such as artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT), into wearable devices offers great potential for accurate and non-invasive monitoring and diagnosis. This paper provides an overview of current trends and developments in microfluidics and smart technologies in wearable devices for analyzing body fluids. The paper discusses common microfluidic technologies in wearable devices and the challenges associated with analyzing each type of biofluid. The paper emphasizes the importance of combining smart technologies with microfluidics in wearable devices, and how they can aid diagnosis and therapy. Finally, the paper covers recent applications, trends, and future developments in the context of intelligent microfluidic wearable devices.
Collapse
Affiliation(s)
- Sasikala Apoorva
- UKF Centre for Advanced Research and Skill Development(UCARS), UKF College of Engineering and Technology, Kollam, Kerala, India, 691 302
| | - Nam-Trung Nguyen
- Queensland Micro and Nanotechnology Centre, Griffith University, 170 Kessels Road, Nathan, 4111, Queensland, Australia.
| | - Kamalalayam Rajan Sreejith
- Queensland Micro and Nanotechnology Centre, Griffith University, 170 Kessels Road, Nathan, 4111, Queensland, Australia.
| |
Collapse
|
16
|
Tzianni EI, Sakkas VA, Prodromidis MI. Wax screen-printable ink for massive fabrication of negligible-to-nil cost fabric-based microfluidic (bio)sensing devices for colorimetric analysis of sweat. Talanta 2024; 269:125475. [PMID: 38039670 DOI: 10.1016/j.talanta.2023.125475] [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: 09/23/2023] [Revised: 11/19/2023] [Accepted: 11/22/2023] [Indexed: 12/03/2023]
Abstract
Fabric-based microfluidic analytical devices (μADs) have emerged as a promising material for replacing paper μADs thanks to their superior properties in terms of stretchability, mechanical strength, and their wide scope of applicability in wearable devices or embedded in garments. The major obstacle in their widespread use is the lack of a technique enabling their massive fabrication at a negligible-to-nil cost. In response, we report the development of a wax ink with proper thixotropic and hydrophobic properties, fully compatible with automatic screen-printing that allows the one step massive fabrication of microfluidics on a cotton/elastane fabric, with a printing resolution 400 μm (hydrophilic channel) and 1000 μm (hydrophobic barrier), without being necessary any post curing. The cost of the ink (50 g) and of each microfluidic device is ca. 2.3 and 0.007 €, respectively. The active component of the ink was a refined beeswax in a matrix based on ethyl cellulose in 2-butoxy ethyl acetate. Screen-printed fabric μADs were used for the simultaneous colorimetric determination of pH and urea in untreated human sweat by using multivariate regression analysis. This method enabled the direct measurement of urea using urease, regardless of the sweat's pH, and shows strong agreement with a reference method.
Collapse
Affiliation(s)
- Eleni I Tzianni
- Laboratory of Analytical Chemistry, University of Ioannina, 45 110, Ioannina, Greece
| | - Vasilios A Sakkas
- Laboratory of Analytical Chemistry, University of Ioannina, 45 110, Ioannina, Greece
| | - Mamas I Prodromidis
- Laboratory of Analytical Chemistry, University of Ioannina, 45 110, Ioannina, Greece.
| |
Collapse
|
17
|
Saha T, Mukherjee S, Dickey MD, Velev OD. Harvesting and manipulating sweat and interstitial fluid in microfluidic devices. LAB ON A CHIP 2024; 24:1244-1265. [PMID: 38197332 DOI: 10.1039/d3lc00874f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Microfluidic devices began to be used to facilitate sweat and interstitial fluid (ISF) sensing in the mid-2010s. Since then, numerous prototypes involving microfluidics have been developed in different form factors for sensing biomarkers found in these fluids under in vitro, ex vivo, and in vivo (on-body) settings. These devices transport and manipulate biofluids using microfluidic channels composed of silicone, polymer, paper, or fiber. Fluid flow transport and sample management can be achieved by controlling the flow rate, surface morphology of the channel, and rate of fluid evaporation. Although many devices have been developed for estimating sweat rate, electrolyte, and metabolite levels, only a handful have been able to proceed beyond laboratory testing and reach the stage of clinical trials and commercialization. To further this technology, this review reports on the utilization of microfluidics towards sweat and ISF management and transport. The review is distinguished from other recent reviews by focusing on microfluidic principles of sweat and ISF generation, transport, extraction, and management. Challenges and prospects are highlighted, with a discussion on how to transition such prototypes towards personalized healthcare monitoring systems.
Collapse
Affiliation(s)
- Tamoghna Saha
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Sneha Mukherjee
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| | - Orlin D Velev
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC 27695, USA.
| |
Collapse
|
18
|
Ehtesabi H, Kalji SO. Carbon nanomaterials for sweat-based sensors: a review. Mikrochim Acta 2024; 191:77. [PMID: 38177621 DOI: 10.1007/s00604-023-06162-7] [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: 08/24/2023] [Accepted: 12/20/2023] [Indexed: 01/06/2024]
Abstract
Sweat is easily accessible from the human skin's surface. It is secreted by the eccrine glands and contains a wealth of physiological information, including metabolites and electrolytes like glucose and Na ions. Sweat is a particularly useful biofluid because of its easy and non-invasive access, unlike other biofluids, like blood. On the other hand, nanomaterials have started to show promise operation as a competitive substitute for biosensors and molecular sensors throughout the last 10 years. Among the most synthetic nanomaterials that are studied, applied, and discussed, carbon nanomaterials are special. They are desirable candidates for sensor applications because of their many intrinsic electrical, magnetic, and optical characteristics; their chemical diversity and simplicity of manipulation; their biocompatibility; and their effectiveness as a chemically resistant platform. Carbon nanofibers (CNFs), carbon dots (CDs), carbon nanotubes (CNTs), and graphene have been intensively investigated as molecular sensors or as components that can be integrated into devices. In this review, we summarize recent advances in the use of carbon nanomaterials as sweat sensors and consider how they can be utilized to detect a diverse range of analytes in sweat, such as glucose, ions, lactate, cortisol, uric acid, and pH.
Collapse
Affiliation(s)
- Hamide Ehtesabi
- Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
| | - Seyed-Omid Kalji
- Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| |
Collapse
|
19
|
Yang H, Ji Y, Shen K, Qian Y, Ye C. Simultaneous detection of urea and lactate in sweat based on a wearable sweat biosensor. BIOMEDICAL OPTICS EXPRESS 2024; 15:14-27. [PMID: 38223175 PMCID: PMC10783907 DOI: 10.1364/boe.505004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/19/2023] [Accepted: 11/19/2023] [Indexed: 01/16/2024]
Abstract
Urea and lactate are biomarkers in sweat that is closely associated with human health. This study introduces portable, rapid, sensitive, stable, and high-throughput wearable sweat biosensors utilizing Au-Ag nanoshuttles (Au-Ag NSs) for the simultaneous detection of sweat urea and lactate. The Au-Ag NSs arrays within the biosensor's microfluidic cavity provide a substantial surface-enhanced Raman scattering (SERS) enhancement effect. The limit of detection (LOD) for urea and lactate are 2.35 × 10-6 and 8.66 × 10-7 mol/L, respectively. This wearable sweat biosensor demonstrates high resistance to compression bending, repeatability, and stability and can be securely attached to various body parts. Real-time sweat analysis of volunteers wearing the biosensors during exercise demonstrated the method's practicality. This wearable sweat biosensor holds significant potential for monitoring sweat dynamics and serves as a valuable tool for assessing bioinformation in sweat.
Collapse
Affiliation(s)
- Haifan Yang
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China
| | - Yangyang Ji
- Department of Science and Education, Traditional Chinese Medicine Hospital of Tongzhou District, Nantong, 226300, China
| | - Kang Shen
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China
| | - Yayun Qian
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, 225001, China
| | - Chenchen Ye
- Department of Science and Education, Yixing Traditional Chinese Medicine Hospital, Wuxi, 214200, China
| |
Collapse
|
20
|
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.
Collapse
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
| |
Collapse
|
21
|
Dashtian K, Binabaji F, Zare-Dorabei R. Enhancing On-Skin Analysis: A Microfluidic Device and Smartphone Imaging Module for Real-Time Quantitative Detection of Multianalytes in Sweat. Anal Chem 2023; 95:16315-16326. [PMID: 37897415 DOI: 10.1021/acs.analchem.3c03516] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/30/2023]
Abstract
Wearable sweat sensors present exciting opportunities for advancing personal health monitoring and noninvasive biomarker measurements. However, existing sensors often fall short in accurate detection of low analyte volumes and concentrations and lack multimodal sensing capabilities. Herein, we present a highly portable four-channel microfluidic device capable of conducting simultaneous sweat sampling and fluorometric sensing of potential biomarkers, such as l-Tyr, l-Trp, Crt, and NH4+, specifically designed for kidney disease monitoring. Our microfluidic device seamlessly integrates with smartphones, facilitating easy data retrieval and analysis. The core of the sensing array is a novel fluorometric solid-state mechanism utilizing carbon polymer dots derived from dopamine, catechol, and o-phenylenediamine monomers embedded in gelatin hydrogels. The sensors exhibit exceptional performance, offering linear ranges of 5-275, 6-170, 4-220, and 5-170 μM, with impressively low detection limits of 1.5, 1.2, 1.3, and 1.4 μM for l-Tyr, l-Trp, Crt, and NH4+, respectively. Through meticulous optimization of operational variables, comprising the temperature, sample volume, and assay time, we achieved the best performance of the device. Furthermore, the sensors exhibited remarkable selectivity, effectively distinguishing between biologically similar species and other potential biological compounds found in sweat. Our evaluation also extended to monitoring kidney diseases in patients and healthy individuals, showcasing the device's utility in world scenarios. Promising results showcase the potential of low-cost, multidiagnostic microfluidic sensor arrays, especially with synthetic skin integration, for enhanced disease detection and healthcare outcomes.
Collapse
Affiliation(s)
- Kheibar Dashtian
- Research Laboratory of Spectrometry & Micro and Nano Extraction, Department of Chemistry, Iran University of Science and Technology, Tehran 16846-13114, Iran
| | - Fatemeh Binabaji
- Research Laboratory of Spectrometry & Micro and Nano Extraction, Department of Chemistry, Iran University of Science and Technology, Tehran 16846-13114, Iran
| | - Rouholah Zare-Dorabei
- Research Laboratory of Spectrometry & Micro and Nano Extraction, Department of Chemistry, Iran University of Science and Technology, Tehran 16846-13114, Iran
| |
Collapse
|
22
|
Divya, Darshna, Sammi A, Chandra P. Design and development of opto-electrochemical biosensing devices for diagnosing chronic kidney disease. Biotechnol Bioeng 2023; 120:3116-3136. [PMID: 37439074 DOI: 10.1002/bit.28490] [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: 04/07/2023] [Revised: 06/03/2023] [Accepted: 06/27/2023] [Indexed: 07/14/2023]
Abstract
Chronic kidney disease (CKD) is emerging as one of the major causes of the increase in mortality rate and is expected to become 5th major cause by 2050. Many studies have shown that it is majorly related to various risk factors, and thus becoming one of the major health issues around the globe. Early detection of renal disease lowers the overall burden of disease by preventing individuals from developing kidney impairment. Therefore, diagnosis and prevention of CKD are becoming the major challenges, and in this situation, biosensors have emerged as one of the best possible solutions. Biosensors are becoming one of the preferred choices for various diseases diagnosis as they provide simpler, cost-effective and precise methods for onsite detection. In this review, we have tried to discuss the globally developed biosensors for the detection of CKD, focusing on their design, pattern, and applicability in real samples. Two major classifications of biosensors based on transduction systems, that is, optical and electrochemical, for kidney disease have been discussed in detail. Also, the major focus is given to clinical biomarkers such as albumin, creatinine, and others related to kidney dysfunction. Furthermore, the globally developed sensors for the detection of CKD are discussed in tabulated form comparing their analytical performance, response time, specificity as well as performance in biological fluids.
Collapse
Affiliation(s)
- Divya
- Laboratory of Bio-Physio Sensors and Nanobioengineering School of Biochemical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, Uttar Pradesh, India
| | - Darshna
- Laboratory of Bio-Physio Sensors and Nanobioengineering School of Biochemical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, Uttar Pradesh, India
| | - Aditi Sammi
- Laboratory of Bio-Physio Sensors and Nanobioengineering School of Biochemical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, Uttar Pradesh, India
| | - Pranjal Chandra
- Laboratory of Bio-Physio Sensors and Nanobioengineering School of Biochemical Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, Uttar Pradesh, India
| |
Collapse
|
23
|
Yang DS, Wu Y, Kanatzidis EE, Avila R, Zhou M, Bai Y, Chen S, Sekine Y, Kim J, Deng Y, Guo H, Zhang Y, Ghaffari R, Huang Y, Rogers JA. 3D-printed epidermal sweat microfluidic systems with integrated microcuvettes for precise spectroscopic and fluorometric biochemical assays. MATERIALS HORIZONS 2023; 10:4992-5003. [PMID: 37641877 DOI: 10.1039/d3mh00876b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Systems for capture, storage and analysis of eccrine sweat can provide insights into physiological health status, quantify losses of water, electrolytes, amino acids and/or other essential species, and identify exposures to adverse environmental species or illicit drugs. Recent advances in materials and device designs serve as the basis for skin-compatible classes of microfluidic platforms and in situ colorimetric assays for precise assessments of sweat rate, sweat loss and concentrations of wide-ranging types of biomarkers in sweat. This paper presents a set of findings that enhances the performance of these systems through the use of microfluidic networks, integrated valves and microscale optical cuvettes formed by three dimensional printing in hard/soft hybrid materials systems, for accurate spectroscopic and fluorometric assays. Field studies demonstrate the capability of these microcuvette systems to evaluate the concentrations of copper, chloride, and glucose in sweat, along with the pH of sweat, with laboratory-grade accuracy and sensitivity.
Collapse
Affiliation(s)
- Da Som Yang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Precision Biology Research Center (PBRC), Sungkyunkwan University, Suwon, 16419, South Korea
| | - Yixin Wu
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Evangelos E Kanatzidis
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
| | - Raudel Avila
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Rice University, Houston, TX, 77005, USA
| | - Mingyu Zhou
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Yun Bai
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Shulin Chen
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Yurina Sekine
- Materials Sciences Research Center, Japan Atomic Energy Agency, Tokai, Ibaraki 319-1195, Japan
| | - Joohee Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Center for Bionics of Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Yujun Deng
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
- State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
| | - Hexia Guo
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Yi Zhang
- Polymer Program, Institute of Materials Science, University of Connecticut, Storrs, Connecticut 06269, USA
- Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, USA
| | - Roozbeh Ghaffari
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Epicore Biosystems Inc., Cambridge, MA, USA
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
| | - John A Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Epicore Biosystems Inc., Cambridge, MA, USA
- Department of Neurological Surgery, Northwestern University, Evanston, IL 60208, USA
- Department of Electrical and Computer Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Chemistry, Northwestern University, Evanston, IL 60208, USA
| |
Collapse
|
24
|
Futane A, Senthil M, S J, Srinivasan A, R K, Narayanamurthy V. Sweat analysis for urea sensing: trends and challenges. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:4405-4426. [PMID: 37646163 DOI: 10.1039/d3ay01089a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
With increasing population there is a rise in pathological diseases that the healthcare facilities are grappling with. Sweat-based wearable technologies for continuous monitoring have overcome the demerits associated with sweat sampling and sensing. Hence, sweat as an alternative biofluid holds great promise for the quantification of a host of biomarkers and understanding the functioning of the body, thereby deducing ailments quickly and economically. This comprehensive review accounts for recent advances in sweat-based LOCs (Lab-On-Chips), which are a likely alternative to the existing blood-urea sample testing that is invasive and time-consuming. The present review is focused on the advancements in sweat-based Lab-On-Chips (LOCs) as an alternative to invasive and time-consuming blood-urea sample testing. In addition, different sweat collection methods (direct skin, near skin and microfluidic) and their mechanism for urea sensing are explained in detail. The mechanism of urea in biofluids in protein metabolism, balancing nitrogen levels and a crucial factor of kidney function is described. In the end, research and technological advancements are explained to address current challenges and enable its widespread implementation.
Collapse
Affiliation(s)
- Abhishek Futane
- Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
| | - Mallika Senthil
- Department of Biomedical Engineering, Rajalakshmi Engineering, College, Chennai, India 602105
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA
| | - Jayashree S
- Department of Biomedical Engineering, Rajalakshmi Engineering, College, Chennai, India 602105
| | - Arthi Srinivasan
- Faculty of Chemical and Process Engineering Technology, University Malaysia Pahang (UMP), Lebuhraya Tun Razak, 26300 Gambang, Kunatan, Pahang, Malaysia
| | - Kalpana R
- Department of Biomedical Engineering, Rajalakshmi Engineering, College, Chennai, India 602105
| | - Vigneswaran Narayanamurthy
- Advance Sensors and Embedded Systems (ASECs), Centre for Telecommunication Research & Innovation, Fakulti Teknologi Kejuruteraan Elektrik Dan Elektronik, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, Malaysia
- Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India.
| |
Collapse
|
25
|
Ko A, Liao C. Paper-based colorimetric sensors for point-of-care testing. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:4377-4404. [PMID: 37641934 DOI: 10.1039/d3ay00943b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
By eliminating the need for sample transportation and centralized laboratory analysis, point-of-care testing (POCT) enables on-the-spot testing, with results available within minutes, leading to improved patient management and overall healthcare efficiency. Motivated by the rapid development of POCT, paper-based colorimetric sensing, a powerful analytical technique that exploits the changes in color or absorbance of a chemical species to detect and quantify analytes of interest, has garnered increasing attention. In this review, we strive to provide a bird's eye view of the development landscape of paper-based colorimetric sensors that harness the unique properties of paper to create low-cost, easy-to-use, and disposable analytical devices, thematically covering both fundamental aspects and categorized applications. In the end, we authors summarized the review with the remaining challenges and emerging opportunities. Hopefully, this review will ignite new research endeavors in the realm of paper-based colorimetric sensors.
Collapse
Affiliation(s)
- Anthony Ko
- Renaissance Bio, New Territories, Hong Kong SAR, China.
- Medical School, Sun Yat-Sen University, Guangzhou, China
| | - Caizhi Liao
- Renaissance Bio, New Territories, Hong Kong SAR, China.
| |
Collapse
|
26
|
Liu Y, Li J, Xiao S, Liu Y, Bai M, Gong L, Zhao J, Chen D. Revolutionizing Precision Medicine: Exploring Wearable Sensors for Therapeutic Drug Monitoring and Personalized Therapy. BIOSENSORS 2023; 13:726. [PMID: 37504123 PMCID: PMC10377150 DOI: 10.3390/bios13070726] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/02/2023] [Accepted: 07/08/2023] [Indexed: 07/29/2023]
Abstract
Precision medicine, particularly therapeutic drug monitoring (TDM), is essential for optimizing drug dosage and minimizing toxicity. However, current TDM methods have limitations, including the need for skilled operators, patient discomfort, and the inability to monitor dynamic drug level changes. In recent years, wearable sensors have emerged as a promising solution for drug monitoring. These sensors offer real-time and continuous measurement of drug concentrations in biofluids, enabling personalized medicine and reducing the risk of toxicity. This review provides an overview of drugs detectable by wearable sensors and explores biosensing technologies that can enable drug monitoring in the future. It presents a comparative analysis of multiple biosensing technologies and evaluates their strengths and limitations for integration into wearable detection systems. The promising capabilities of wearable sensors for real-time and continuous drug monitoring offer revolutionary advancements in diagnostic tools, supporting personalized medicine and optimal therapeutic effects. Wearable sensors are poised to become essential components of healthcare systems, catering to the diverse needs of patients and reducing healthcare costs.
Collapse
Affiliation(s)
- Yuqiao Liu
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Junmin Li
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Shenghao Xiao
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Yanhui Liu
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Mingxia Bai
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Lixiu Gong
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Jiaqian Zhao
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
| | - Dajing Chen
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310007, China
| |
Collapse
|
27
|
Adane AM, Park SY. Bilayer Actuator Film for Urea Biosensing with Dual Responsiveness: Bending Actuation and Photonic Color Change. ACS Sens 2023; 8:2290-2297. [PMID: 37213078 DOI: 10.1021/acssensors.3c00296] [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: 05/23/2023]
Abstract
A noninvasive sweat-based biosensor was developed for urea detection using a photonic bilayer actuator film (BAF) consisting of an interpenetrating polymer network (IPN) as the active layer and a flexible poly(ethylene terephthalate) (PET) substrate as the passive layer (IPN/PET). The active IPN layer comprises intertwined solid-state cholesteric liquid crystal and poly(acrylic acid) (PAA) networks. Urease was immobilized in the PAA network in the IPN layer of the photonic BAF. The interaction with aqueous urea altered the curvature and photonic color of the photonic urease-immobilized IPN/PET (IPNurease/PET) BAF. The curvature (and wavelength of the photonic color) of the IPNurease/PET BAF increased linearly with urea concentration (Curea) in the range of Curea = 20-65 (and 30-65) mM with a limit of detection value of 1.42 (and 1.34) mM. The developed photonic IPNurease/PET BAF exhibited high selectivity toward urea and excellent spike test results with real human sweat. This novel IPNurease/PET BAF is promising because it enables battery-free, cost-effective, and visual detection-based analysis without the use of sophisticated instruments. Furthermore, the application of this photonic IPN/PET BAF can be easily extended to other biosensors by immobilizing other receptors on the IPN.
Collapse
Affiliation(s)
- Amhagiyorgis Mesfin Adane
- School of Applied Chemical Engineering, Polymeric Nano Materials Laboratory, Kyungpook National University, Daegu 41566, Republic of Korea
| | - Soo-Young Park
- School of Applied Chemical Engineering, Polymeric Nano Materials Laboratory, Kyungpook National University, Daegu 41566, Republic of Korea
| |
Collapse
|
28
|
Chen Y, Ma B, Zuo Y, Chen G, Hao Q, Zhao C, Liu H. Versatile sweat bioanalysis on demand with hydrogel-programmed wearables. Biosens Bioelectron 2023; 235:115412. [PMID: 37236013 DOI: 10.1016/j.bios.2023.115412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 05/07/2023] [Accepted: 05/19/2023] [Indexed: 05/28/2023]
Abstract
Wearable sweat bioanalysis is promising for non-invasive diagnostics of diseases. However, collection of representative sweat samples without disturbing daily life and wearable bioanalysis of targets that are clinically significant are still challenging. In this work, we report on a versatile method for the sweat bioanalysis. The method is based on a thermoresponsive hydrogel which can imperceptibly absorb slowly secreted sweat without stimulation such as heat or sport exercise. The wearable bioanalysis is accomplished by programmed electric heating of hydrogel modules to 42°C to release absorbed sweat or preloaded reagents into a microfluidic detection channel. Using our method, not only one-step detection of glucose but also multi-step immunoassay of cortisol is accomplished within 1 h, even at a very low sweat rate. Our test results are also compared with those obtained with conventional blood samples and stimulated sweat samples to evaluate the applicability of our method to non-invasive clinical practice.
Collapse
Affiliation(s)
- Yichen Chen
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Biao Ma
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
| | - Yinxiu Zuo
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Gangsheng Chen
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Qing Hao
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Chao Zhao
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Hong Liu
- State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
| |
Collapse
|
29
|
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.
Collapse
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
| | | |
Collapse
|
30
|
Promphet N, Phamonpon W, Karintrthip W, Rattanawaleedirojn P, Saengkiettiyut K, Boonyongmaneerat Y, Rodthongkum N. Carbonization of self-reduced AuNPs on silk as wearable skin patches for non-invasive sweat urea detection. Int J Biol Macromol 2023; 242:124757. [PMID: 37150378 DOI: 10.1016/j.ijbiomac.2023.124757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/23/2023] [Accepted: 05/02/2023] [Indexed: 05/09/2023]
Abstract
Flexible conductive skin patches were readily fabricated on silk fabric by in situ deposition of gold nanoparticles (AuNPs) followed by carbonization. The carbonized AuNPs-silk with high flexibility was characterized by field emission scanning electron microscopy (FESEM), atomic force microscopy (AFM) and Fourier transform Raman spectroscopy (FT-Raman) to verify the well arrangement surface and desired chemical binding. The conductivity of silk skin patch, measured by a four-point probe, was found to be 109.24 ± 13 S cm-1 × 10-3, verifying the potential application as a working electrode in electrochemical sensor and a sweat collection patch for direct detection by laser desorption/ionization mass spectrometry (LDI-MS). This silk skin patch offered a linear range of 0-100 mM with a detection limit (LOD) of 20 mM for electrochemical sensor and 8 mM for LDI-MS, respectively. Ultimately, this skin patch is successfully applied for the detection of sweat urea at its cut-off value (60 mM) for indicating chronic kidney disease (CKD) in artificial sweat with satisfactory results. By using dual-detection technique on single silk substrate, this platform might be an alternative approach for a non-invasive sweat urea detection with high precision.
Collapse
Affiliation(s)
- Nadtinan Promphet
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand
| | - Wisarttra Phamonpon
- Nanoscience and Technology program, Graduate School, Chulalongkorn University, Phayathai Road, Patumwan, Bangkok 10330, Thailand
| | - Wimala Karintrthip
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand
| | - Pranee Rattanawaleedirojn
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand; Center of Excellence in Responsive Wearable Materials, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand
| | - Kanokwan Saengkiettiyut
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand
| | - Yuttanant Boonyongmaneerat
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand
| | - Nadnudda Rodthongkum
- Metallurgy and Materials Science Research Institute, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand; Center of Excellence in Responsive Wearable Materials, Chulalongkorn University, Soi Chula 12, Phayathai Road, Pathumwan, Bangkok 10330, Thailand.
| |
Collapse
|
31
|
Ma X, Guo G, Wu X, Wu Q, Liu F, Zhang H, Shi N, Guan Y. Advances in Integration, Wearable Applications, and Artificial Intelligence of Biomedical Microfluidics Systems. MICROMACHINES 2023; 14:mi14050972. [PMID: 37241596 DOI: 10.3390/mi14050972] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 04/20/2023] [Accepted: 04/25/2023] [Indexed: 05/28/2023]
Abstract
Microfluidics attracts much attention due to its multiple advantages such as high throughput, rapid analysis, low sample volume, and high sensitivity. Microfluidics has profoundly influenced many fields including chemistry, biology, medicine, information technology, and other disciplines. However, some stumbling stones (miniaturization, integration, and intelligence) strain the development of industrialization and commercialization of microchips. The miniaturization of microfluidics means fewer samples and reagents, shorter times to results, and less footprint space consumption, enabling a high throughput and parallelism of sample analysis. Additionally, micro-size channels tend to produce laminar flow, which probably permits some creative applications that are not accessible to traditional fluid-processing platforms. The reasonable integration of biomedical/physical biosensors, semiconductor microelectronics, communications, and other cutting-edge technologies should greatly expand the applications of current microfluidic devices and help develop the next generation of lab-on-a-chip (LOC). At the same time, the evolution of artificial intelligence also gives another strong impetus to the rapid development of microfluidics. Biomedical applications based on microfluidics normally bring a large amount of complex data, so it is a big challenge for researchers and technicians to analyze those huge and complicated data accurately and quickly. To address this problem, machine learning is viewed as an indispensable and powerful tool in processing the data collected from micro-devices. In this review, we mainly focus on discussing the integration, miniaturization, portability, and intelligence of microfluidics technology.
Collapse
Affiliation(s)
- Xingfeng Ma
- School of Communication and Information Engineering, Shanghai University, Shanghai 200000, China
- Department of Microelectronics, Shanghai University, Shanghai 200000, China
| | - Gang Guo
- Department of Microelectronics, Shanghai University, Shanghai 200000, China
| | - Xuanye Wu
- Department of Microelectronics, Shanghai University, Shanghai 200000, China
- Shanghai Industrial μTechnology Research Institute, Shanghai 200000, China
| | - Qiang Wu
- Shanghai Aure Technology Limited Company, Shanghai 200000, China
| | - Fangfang Liu
- Shanghai Industrial μTechnology Research Institute, Shanghai 200000, China
| | - Hua Zhang
- Shanghai Aure Technology Limited Company, Shanghai 200000, China
| | - Nan Shi
- Shanghai Industrial μTechnology Research Institute, Shanghai 200000, China
- Institute of Translational Medicine, Shanghai University, Shanghai 200000, China
| | - Yimin Guan
- Department of Microelectronics, Shanghai University, Shanghai 200000, China
- Shanghai Aure Technology Limited Company, Shanghai 200000, China
| |
Collapse
|
32
|
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.
Collapse
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
| |
Collapse
|
33
|
Kuswandi B, Irsyad LH, Puspaningtyas AR. Cloth-based microfluidic devices integrated onto the patch as wearable colorimetric sensors for simultaneous sweat analysis. BIOIMPACTS : BI 2023; 13:347-353. [PMID: 37645027 PMCID: PMC10460771 DOI: 10.34172/bi.2023.24195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 02/15/2022] [Accepted: 03/07/2022] [Indexed: 08/31/2023]
Abstract
Introduction In this work, a flexible, and wearable point-of-care (POC) device integrated on a pain relief patch as wearable colorimetric sensors have been developed for sweat analysis, such as lactic acid, sodium ions, and pH simultaneously. Herein, the patch has still functioned as pain relief, while it allows for sweat monitoring during exercise, and in daily activities. Methods It was constructed on cotton cloth using wax printing technology (batik stamp) as cloth-based microfluidic devices (CMDs). Here, it uses micro volumes of samples to perform the reaction in the sensing zones, where the sensitive reagents are immobilized so that it can collect and analyze the sweat (lactic acid, sodium ions, and pH) as the model for sweat analytes. The colorimetric analysis was conducted via a smartphone camera by using a free app (Color Grab) for a color image analysis that uses for quantitative analysis or naked eye for semi-qualitative analysis. Results The ∆RGB value of the CMDS shows the excellent linear correlation vs analytes concentration, where the coefficient of correlations was found for lactic acid (R2 = 0.994), sodium ion (R2 = 0.998), and pH (R2 = 0.994). The ∆RGB value shows the appropriate color value for the linear correlation of the analyte target concentrations in the sweat samples. Here, the limit of detection (LOD) was found at 45.73 µg/mL for lactic acid and 56.46 µg/mL for sodium ions. The reproducibility was found at 0.79% and 0.89%, for lactic acid and sodium ions respectively. Conclusion It was applied for sweat analysis during exercise, and the results show in agreement with the standard methods used in a clinical laboratory.
Collapse
Affiliation(s)
- Bambang Kuswandi
- Chemo and Biosensors Group, Faculty of Pharmacy, University of Jember, Jl. Kalimantan 37, Jember, East Java, 68121, Indonesia
| | - Lukman H Irsyad
- Chemo and Biosensors Group, Faculty of Pharmacy, University of Jember, Jl. Kalimantan 37, Jember, East Java, 68121, Indonesia
| | - Ayik R. Puspaningtyas
- Chemo and Biosensors Group, Faculty of Pharmacy, University of Jember, Jl. Kalimantan 37, Jember, East Java, 68121, Indonesia
| |
Collapse
|
34
|
Xi P, He X, Fan C, Zhu Q, Li Z, Yang Y, Du X, Xu T. Smart Janus fabrics for one-way sweat sampling and skin-friendly colorimetric detection. Talanta 2023; 259:124507. [PMID: 37058940 DOI: 10.1016/j.talanta.2023.124507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 03/15/2023] [Accepted: 03/29/2023] [Indexed: 04/05/2023]
Abstract
Functionalized textiles with biofluid management capability have attracted tremendous attention in recent years due to their significant roles in health monitoring and dehydration prevention. Here we propose a one-way colorimetric sweat sampling and sensing system based on a Janus fabric using interfacial modification techniques. The opposite wettability of Janus fabric enables sweat to be quickly moved from the skin surface to the hydrophilic side and colorimetric patches. The unidirectional sweat-wicking performance of Janus fabric not only facilitates adequate sweat sampling but also inhibits the backflow of hydrated colorimetric regent from the assay patch toward the skin, eliminating potential epidermal contaminations. On this basis, visual and portable detection of sweat biomarkers including chloride, pH, and urea is also achieved. The results show that the true concentrations of chloride, pH, and urea in sweat are ∼10 mM, ∼7.2, and ∼10 mM, respectively. The detection limits of chloride and urea are 1.06 mM and 3.05 mM. This work bridges the gap between sweat sampling and a friendly epidermal microenvironment, providing a promising way for multifunctional textiles.
Collapse
Affiliation(s)
- Pengyu Xi
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Department of Chemistry & Biological Engineering, University of Science & Technology Beijing, Beijing 100083, China
| | - Xuecheng He
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Department of Chemistry & Biological Engineering, University of Science & Technology Beijing, Beijing 100083, China; School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Chuan Fan
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Department of Chemistry & Biological Engineering, University of Science & Technology Beijing, Beijing 100083, China; School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China
| | - Qinglin Zhu
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Department of Chemistry & Biological Engineering, University of Science & Technology Beijing, Beijing 100083, China
| | - Zehua Li
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Department of Chemistry & Biological Engineering, University of Science & Technology Beijing, Beijing 100083, China
| | - Yuemeng Yang
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Department of Chemistry & Biological Engineering, University of Science & Technology Beijing, Beijing 100083, China
| | - Xin Du
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Department of Chemistry & Biological Engineering, University of Science & Technology Beijing, Beijing 100083, China.
| | - Tailin Xu
- Beijing Key Laboratory for Bioengineering and Sensing Technology, Department of Chemistry & Biological Engineering, University of Science & Technology Beijing, Beijing 100083, China; School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China.
| |
Collapse
|
35
|
He Y, Wei L, Xu W, Wu H, Liu A. Laser-Cutted Epidermal Microfluidic Patch with Capillary Bursting Valves for Chronological Capture, Storage, and Colorimetric Sensing of Sweat. BIOSENSORS 2023; 13:372. [PMID: 36979585 PMCID: PMC10046219 DOI: 10.3390/bios13030372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
Flexible wearable microfluidic devices show great feasibility and potential development in the collection and analysis of sweat due to their convenience and non-invasive characteristics in health-level feedback and disease prediction. However, the traditional production process of microfluidic patches relies on resource-intensive laboratory and high-cost facilities. In this paper, a low-cost laser-cutting technology is proposed to fabricate epidermal microfluidic patches for the collection, storage and colorimetric analysis of sweat. Two different types of capillary bursting valves are designed and integrated into microchannel layers to produce two-stage bursting pressure for the reliable routing of sweat into microreservoirs in sequential fashion, avoiding the mixing of old and new sweat. Additionally, an enzyme-based reagent is embedded into the microreservoirs to quantify the glucose level in sweat by using colorimetric methods, demonstrating a high detection sensitivity at the glucose concentration from 0.1 mM to 1 mM in sweat and an excellent anti-interference performance that prevents interference from substances probably existent in sweat. In vitro and on-body experiments demonstrate the validity of the low-cost, laser-cut epidermal microfluidic patch for the chronological analysis of sweat glucose concentration and its potential application in the monitoring of human physiological information.
Collapse
Affiliation(s)
- Yuxin He
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Lei Wei
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
- School of Physics and Electronics Engineering, Fuyang Normal University, Fuyang 236037, China
| | - Wenjie Xu
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
| | - Huaping Wu
- Key Laboratory of Special Purpose Equipment and Advanced Processing Technology, Ministry of Education and Zhejiang Province, College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, China
| | - Aiping Liu
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, China
| |
Collapse
|
36
|
Shajari S, Salahandish R, Zare A, Hassani M, Moossavi S, Munro E, Rashid R, Rosenegger D, Bains JS, Sanati Nezhad A. MicroSweat: A Wearable Microfluidic Patch for Noninvasive and Reliable Sweat Collection Enables Human Stress Monitoring. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204171. [PMID: 36461733 PMCID: PMC9982588 DOI: 10.1002/advs.202204171] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/24/2022] [Indexed: 05/13/2023]
Abstract
Stress affects cognition, behavior, and physiology, leading to lasting physical and mental illness. The ability to detect and measure stress, however, is poor. Increased circulating cortisol during stress is mirrored by cortisol release from sweat glands, providing an opportunity to use it as an external biomarker for monitoring internal emotional state. Despite the attempts at using wearable sensors for monitoring sweat cortisol, there is a lack of reliable wearable sweat collection devices that preserve the concentration and integrity of sweat biomolecules corresponding to stress levels. Here, a flexible, self-powered, evaporation-free, bubble-free, surfactant-free, and scalable capillary microfluidic device, MicroSweat, is fabricated to reliably collect human sweat from different body locations. Cortisol levels are detected corresponding to severe stress ranging from 25 to 125 ng mL-1 averaged across multiple body regions and 100-1000 ng mL-1 from the axilla. A positive nonlinear correlation exists between cortisol concentration and stress levels quantified using the perceived stress scale (PSS). Moreover, owing to the sweat variation in response to environmental effects and physiological differences, the longitudinal and personalized profile of sweat cortisol is acquired, for the first time, for various body locations. The obtained sweat cortisol data is crucial for analyzing human stress in personalized and clinical healthcare sectors.
Collapse
Affiliation(s)
- Shaghayegh Shajari
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- StressynomicsHotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Razieh Salahandish
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Azam Zare
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Mohsen Hassani
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Shirin Moossavi
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- Department of Physiology and PharmacologyUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- International Microbiome CentreCumming School of MedicineHealth Sciences CentreUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Emily Munro
- Department of Chemical and Petroleum EngineeringUniversity of CalgaryCalgaryAlbertaT2N1 N4Canada
| | - Ruba Rashid
- Department of Civil EngineeringUniversity of CalgaryCalgaryAlbertaT2N1 N4Canada
| | | | - Jaideep S. Bains
- StressynomicsHotchkiss Brain InstituteCumming School of MedicineUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| | - Amir Sanati Nezhad
- BioMEMS and Bioinspired Microfluidic LaboratoryDepartment of Biomedical EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
- Department of Mechanical and Manufacturing EngineeringUniversity of CalgaryCalgaryAlbertaT2N 1N4Canada
| |
Collapse
|
37
|
Naghdi T, Ardalan S, Asghari Adib Z, Sharifi AR, Golmohammadi H. Moving toward smart biomedical sensing. Biosens Bioelectron 2023; 223:115009. [PMID: 36565545 DOI: 10.1016/j.bios.2022.115009] [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: 07/02/2022] [Revised: 11/01/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
The development of novel biomedical sensors as highly promising devices/tools in early diagnosis and therapy monitoring of many diseases and disorders has recently witnessed unprecedented growth; more and faster than ever. Nonetheless, on the eve of Industry 5.0 and by learning from defects of current sensors in smart diagnostics of pandemics, there is still a long way to go to achieve the ideal biomedical sensors capable of meeting the growing needs and expectations for smart biomedical/diagnostic sensing through eHealth systems. Herein, an overview is provided to highlight the importance and necessity of an inevitable transition in the era of digital health/Healthcare 4.0 towards smart biomedical/diagnostic sensing and how to approach it via new digital technologies including Internet of Things (IoT), artificial intelligence, IoT gateways (smartphones, readers), etc. This review will bring together the different types of smartphone/reader-based biomedical sensors, which have been employing for a wide variety of optical/electrical/electrochemical biosensing applications and paving the way for future eHealth diagnostic devices by moving towards smart biomedical sensing. Here, alongside highlighting the characteristics/criteria that should be met by the developed sensors towards smart biomedical sensing, the challenging issues ahead are delineated along with a comprehensive outlook on this extremely necessary field.
Collapse
Affiliation(s)
- Tina Naghdi
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran
| | - Sina Ardalan
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran
| | - Zeinab Asghari Adib
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran
| | - Amir Reza Sharifi
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran
| | - Hamed Golmohammadi
- Nanosensors Bioplatforms Laboratory, Chemistry and Chemical Engineering Research Center of Iran, 14335-186, Tehran, Iran.
| |
Collapse
|
38
|
Wearable potentiometric biosensor for analysis of urea in sweat. Biosens Bioelectron 2023; 223:114994. [PMID: 36577175 DOI: 10.1016/j.bios.2022.114994] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/26/2022] [Accepted: 12/06/2022] [Indexed: 12/16/2022]
Abstract
Herein, we introduce wearable potentiometric biosensors on screen-printed carbon electrodes (SPCEs) for on-body and on-site monitoring of urea in sweat. The biosensor architecture was judiciously designed to detect urea at different pHs and incorporate a pH sensor, thus containing polyaniline ink, urease bioink and a polyvinylchloride membrane. Urea detection could be performed in the wide range from 5 to 200 mM at pH 7.0, encompassing urea levels in human sweat. The biosensor response was fast (incubation time 5 min), with no interference from other substances in sweat. Reliable urea detection could be done in undiluted human sweat with a skin-worn flexible device using the pH correction strategy afforded by the pH sensor. The performance of the epidermal biosensor was not affected by severe bending strains. The feasibility of mass production was demonstrated by fabricating epidermal flexible biosensors using slot-die coating with a roll-to-roll technique.
Collapse
|
39
|
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.
Collapse
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
| |
Collapse
|
40
|
Huang X, Liu Y, Park W, Li J, Ma J, Yiu CK, Zhang Q, Li J, Wu P, Zhou J, Zeng Y, He X, Li J, Wong TH, Yao K, Zhao L, Gao Y, Shi R, Li H, Li M, Li D, Zhao Z, Li Y, Li H, Yu X. Intelligent Soft Sweat Sensors for the Simultaneous Healthcare Monitoring and Safety Warning. Adv Healthc Mater 2023:e2202846. [PMID: 36773301 DOI: 10.1002/adhm.202202846] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 01/03/2023] [Indexed: 02/12/2023]
Abstract
Intelligent monitoring human physiological information in real time raises the demand for skin-integrated electronics, as which is a flexible format and can be mounted onto the curved human skin for noninvasive healthcare monitoring. The biofluid such as sweat from skin contains abundant biomarkers reflecting body health conditions. Here, a skin-integrated sweat monitor with six biosensors embedded for the detection of NH4 + , Na+ , glucose, pH, skin impedance, and surface temperature is described, which could decode the information in the fresh sweat generated during exercising. Furthermore, the system also includes an innovative safety warning mechanism, which is based on a miniaturized actuator to provide mechanical stimuli, and coupled with six changeable colors light emitting diodes corresponding to the six biosensors for providing simultaneous safety alarming to users. The self-developed microfluidics system with a hydrophilic surface allows to enhance the sweat collection rate. Meanwhile, microfluidic filters can reduce the interruption of skin debris during biosignal monitoring. These state-of-art biosensors can real-time monitor health related signals with excellent linearity and specificity. The skin-integrated sweat monitor system exhibits a great potential in human healthcare monitoring and medical treatment.
Collapse
Affiliation(s)
- Xingcan Huang
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Yiming Liu
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Wooyoung Park
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Jiyu Li
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China.,Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, 999077, P. R. China
| | - Jie Ma
- Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Chun Ki Yiu
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China.,Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, 999077, P. R. China
| | - Qiang Zhang
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Jian Li
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China.,Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, 999077, P. R. China
| | - Pengcheng Wu
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Jingkun Zhou
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China.,Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, 999077, P. R. China
| | - Yuyang Zeng
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Xinxin He
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Jialin Li
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Tsz Hung Wong
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Kuanming Yao
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Ling Zhao
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Yuyu Gao
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China.,Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, 999077, P. R. China
| | - Rui Shi
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Hu Li
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Meixi Li
- Leshan Hospital of Traditional Chinese Medicine, Leshan, Sichuan Province, 614000, P. R. China
| | - Dengfeng Li
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China.,Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, 999077, P. R. China
| | - Zhao Zhao
- China Special Equipment Inspection and Research Institute, Beijing, 100029, China.,Institute of Solid Mechanics, Beihang University, Beijing, 100191, P. R. China
| | - Yuhang Li
- Institute of Solid Mechanics, Beihang University, Beijing, 100191, P. R. China.,Aircraft and Propulsion Laboratory, Ningbo Institute of Technology Beihang University (BUAA), Ningbo, 315100, P. R. China
| | - Heng Li
- Department of Building and Real Estate, The Hong Kong Polytechnic University, Kowloong Tong, Hong Kong, 999077, P. R. China
| | - Xinge Yu
- Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, 999077, P. R. China.,Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, Hong Kong, 999077, P. R. China.,City University of Hong Kong Shenzhen Research Institute, City University of Hong Kong, Shenzhen, 518057, P. R. China
| |
Collapse
|
41
|
Cao Y, Chen X, Matarasso A, Wang Z, Song Y, Wu G, Zhang X, Sun H, Wang X, Bruchas MR, Li Y, Zhang Y. Covalently Attached Slippery Surface Coatings to Reduce Protein Adsorptions on Poly(dimethylsiloxane) Planar Surfaces and 3D Microfluidic Channels. ACS APPLIED MATERIALS & INTERFACES 2023; 15:10.1021/acsami.2c20834. [PMID: 36763047 PMCID: PMC10412728 DOI: 10.1021/acsami.2c20834] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Silicone elastomers, such as poly(dimethylsiloxane) (PDMS), have a broad range of applications in basic biomedical research and clinical medicine, ranging from the preparation of microfluidic devices for organs-on-chips and ventriculoperitoneal shunts for the treatment of hydrocephalus to implantable neural probes for neuropharmacology. Despite the importance, the protein adsorptions on silicone elastomers in these application environments represent a significant challenge. Surface coatings with slippery lubricants, inspired by the Nepenthes pitcher plants, have recently received much attention for reducing protein adsorptions. Nevertheless, the depletion of the physically infused lubricants limits their broad applications. In this study, we report a covalently attached slippery surface coating to reduce protein adsorptions on PDMS surfaces. As demonstrations, we show that the adsorption of serum proteins, human fibrinogen and albumin, can be significantly reduced by the slippery surface coating in both planar PDMS surfaces and 3D microfluidic channels. The preparation of slippery surface coatings relies on the acid-catalyzed polycondensation reaction of dimethyldimethoxysilane, which utilizes a low-cost and scalable dip-coating method. Furthermore, cell metabolic activity and viability studies demonstrate the biocompatibility of the surface coating. These results suggest the potential applications of slippery surface coatings to reduce protein adsorptions for implantable medical devices, organs-on-chips, and many others.
Collapse
Affiliation(s)
- Yue Cao
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Xingchi Chen
- Department of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32306, USA
| | - Avi Matarasso
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
| | - Zizheng Wang
- Department of Materials Science and Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Yang Song
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Guangfu Wu
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Xincheng Zhang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - He Sun
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Xueju Wang
- Department of Materials Science and Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| | - Michael R. Bruchas
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98195, USA
- Center for Neurobiology of Addiction, Pain, and Emotion, University of Washington, Seattle, WA 98195, USA
- Department of Pharmacology, University of Washington, Seattle, WA 98195, USA
| | - Yan Li
- Department of Chemical and Biomedical Engineering, FAMU-FSU College of Engineering, Florida State University, Tallahassee, FL 32306, USA
| | - Yi Zhang
- Department of Biomedical Engineering and the Institute of Materials Science, University of Connecticut, Storrs, CT 06269, USA
| |
Collapse
|
42
|
Liu D, Liu Z, Feng S, Gao Z, Chen R, Cai G, Bian S. Wearable Microfluidic Sweat Chip for Detection of Sweat Glucose and pH in Long-Distance Running Exercise. BIOSENSORS 2023; 13:157. [PMID: 36831923 PMCID: PMC9953063 DOI: 10.3390/bios13020157] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/17/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Traditional exercise training monitoring is based on invasive blood testing methods. As sweat can reveal abundant blood-related physiological information about health, wearable sweat sensors have received significant research attention and become increasingly popular in the field of exercise training monitoring. However, most of these sensors are used to measure physical indicators such as heart rate, blood pressure, respiration, etc., demanding a versatile sensor that can detect relevant biochemical indicators in body fluids. In this work, we proposed a wearable microfluidic sweat chip combined with smartphone image processing to realize non-invasive in situ analysis of epidermal sweat for sports practitioners. The polydimethylsiloxane (PDMS) based chip was modified with nonionic surfactants to ensure good hydrophilicity for the automatic collection of sweat. Besides, a simple, reliable, and low-cost paper-based sensor was prepared for high-performance sensing of glucose concentration and pH in sweat. Under optimized conditions, this proposed chip can detect glucose with low concentrations from 0.05 mM to 0.40 mM, with a pH range of 4.0 to 6.5 for human sweat. The ability of this microfluidic chip for human sweat analysis was demonstrated by dynamically tracking the changes in glucose concentration and pH in long-distance running subjects.
Collapse
Affiliation(s)
- Dong Liu
- Microfluidics Research & Innovation Laboratory, School of Sport Science, Beijing Sport University, Beijing 100084, China
| | - Zhenyu Liu
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China
| | - Shilun Feng
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Zehang Gao
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
- Department of Clinical Laboratory, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China
| | - Ran Chen
- Microfluidics Research & Innovation Laboratory, School of Sport Science, Beijing Sport University, Beijing 100084, China
- School of Management, Beijing Sport University, Beijing 100084, China
| | - Gaozhe Cai
- State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China
| | - Shengtai Bian
- Microfluidics Research & Innovation Laboratory, School of Sport Science, Beijing Sport University, Beijing 100084, China
| |
Collapse
|
43
|
Mofidfar M, Song X, Kelly JT, Rubenstein MH, Zare RN. Silicone Wristband Spray Ionization Mass Spectrometry for Combined Exposome and Metabolome Profiling. Isr J Chem 2023. [DOI: 10.1002/ijch.202200116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Affiliation(s)
| | - Xiaowei Song
- Department of Chemistry Stanford University Stanford CA 94305 USA
| | - John T. Kelly
- Air Force Research Laboratory Wright-Patterson AFB OH 45433 USA
| | | | - Richard N. Zare
- Department of Chemistry Stanford University Stanford CA 94305 USA
| |
Collapse
|
44
|
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.
Collapse
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
| |
Collapse
|
45
|
Yoon HJ, Lee G, Kim JT, Yoo JY, Luan H, Cheng S, Kang S, Huynh HLT, Kim H, Park J, Kim J, Kwak SS, Ryu H, Kim J, Choi YS, Ahn HY, Choi J, Oh S, Jung YH, Park M, Bai W, Huang Y, Chamorro LP, Park Y, Rogers JA. Biodegradable, three-dimensional colorimetric fliers for environmental monitoring. SCIENCE ADVANCES 2022; 8:eade3201. [PMID: 36563148 PMCID: PMC9788784 DOI: 10.1126/sciadv.ade3201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 11/16/2022] [Indexed: 06/17/2023]
Abstract
Recently reported winged microelectronic systems offer passive flight mechanisms as a dispersal strategy for purposes in environmental monitoring, population surveillance, pathogen tracking, and other applications. Initial studies indicate potential for technologies of this type, but advances in structural and responsive materials and in aerodynamically optimized geometries are necessary to improve the functionality and expand the modes of operation. Here, we introduce environmentally degradable materials as the basis of 3D fliers that allow remote, colorimetric assessments of multiple environmental parameters-pH, heavy metal concentrations, and ultraviolet exposure, along with humidity levels and temperature. Experimental and theoretical investigations of the aerodynamics of these systems reveal design considerations that include not only the geometries of the structures but also their mass distributions across a range of bioinspired designs. Preliminary field studies that rely on drones for deployment and for remote colorimetric analysis by machine learning interpretation of digital images illustrate scenarios for practical use.
Collapse
Affiliation(s)
- Hong-Joon Yoon
- Department of Electronic Engineering, Gachon University, Seongnam-si, Gyeonggi-do 13120, Republic of Korea
| | - Geumbee Lee
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Jin-Tae Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Jae-Young Yoo
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Haiwen Luan
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Shyuan Cheng
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Soohyeon Kang
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Huong Le Thien Huynh
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Hyeonsu Kim
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Jaehong Park
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Joohee Kim
- Center for Bionics of Biomedical Research Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Sung Soo Kwak
- Center for Bionics of Biomedical Research Institute, Korea Institute of Science and Technology, Seoul 02792, Republic of Korea
| | - Hanjun Ryu
- Department of Advanced Materials Engineering, Chung-Ang University, 4726 Seodong-daero, Daedeok-myeon, Anseong-si, Gyeonggi-do 17546, Republic of Korea
| | - Jihye Kim
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Yeon Sik Choi
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Hak-Young Ahn
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Junhwan Choi
- Department of Chemical Engineering, Dankook University, Yongin 16890, Republic of Korea
| | - Seyong Oh
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Yei Hwan Jung
- Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea
| | - Minsu Park
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
| | - Wubin Bai
- Department of Applied Physical Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
| | - Yonggang Huang
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Leonardo P. Chamorro
- Department of Mechanical Science and Engineering, University of Illinois, Urbana, IL 61801, USA
| | - Yoonseok Park
- Department of Advanced Materials Engineering for Information and Electronics, Kyung Hee University, Yongin 17104, Republic of Korea
| | - John A. Rogers
- Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA
- Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Neurological Surgery, Northwestern University, Evanston, IL 60208, USA
- Feinberg School of Medicine, Northwestern University, Evanston, IL 60208, USA
| |
Collapse
|
46
|
Moon JM, Del Caño R, Moonla C, Sakdaphetsiri K, Saha T, Francine Mendes L, Yin L, Chang AY, Seker S, Wang J. Self-Testing of Ketone Bodies, along with Glucose, Using Touch-Based Sweat Analysis. ACS Sens 2022; 7:3973-3981. [PMID: 36512725 DOI: 10.1021/acssensors.2c02369] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
β-Hydroxybutyrate (HB) is one of the main physiological ketone bodies that play key roles in human health and wellness. Besides their important role in diabetes ketoacidosis, ketone bodies are currently receiving tremendous attention for personal nutrition in connection to the growing popularity of oral ketone supplements. Accordingly, there are urgent needs for developing a rapid, simple, and low-cost device for frequent onsite measurements of β-hydroxybutyrate (HB), one of the main physiological ketone bodies. However, real-time profiling of dynamically changing HB concentrations is challenging and still limited to laboratory settings or to painful and invasive measurements (e.g., a commercial blood ketone meter). Herein, we address the critical need for pain-free frequent HB measurements in decentralized settings and report on a reliable noninvasive, simple, and rapid touch-based sweat HB testing and on its ability to track dynamic HB changes in secreted fingertip sweat, following the intake of commercial ketone supplements. The new touch-based HB detection method relies on an instantaneous collection of the fingertip sweat at rest on a porous poly(vinyl alcohol) (PVA) hydrogel that transports the sweat to a biocatalytic layer, composed of the β-hydroxybutyrate dehydrogenase (HBD) enzyme and its nicotinamide adenine dinucleotide (NAD+) cofactor, covering the modified screen-printed carbon working electrode. As a result, the sweat HB can be measured rapidly by the mediated oxidation reaction of the nicotinamide adenine dinucleotide (NADH) product. A personalized HB dose-response relationship is demonstrated within a group of healthy human subjects taking commercial ketone supplements, along with a correlation between the sweat and capillary blood HB levels. Furthermore, a dual disposable biosensing device, consisting of neighboring ketone and glucose enzyme electrodes on a single-strip substrate, has been developed toward the simultaneous touch-based detection of dynamically changing sweat HB and glucose levels, following the intake of ketone and glucose drinks.
Collapse
Affiliation(s)
- Jong-Min Moon
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States
| | - Rafael Del Caño
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States.,Department of Physical Chemistry and Applied Thermodynamics, University of Córdoba, Córdoba E-14014, Spain
| | - Chochanon Moonla
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States
| | - Kittiya Sakdaphetsiri
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States.,School of Biomolecular Science and Engineering (BSE), Vidyasirimedhi Institute of Science and Technology, Rayong 21210, Thailand
| | - Tamoghna Saha
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States
| | - Letícia Francine Mendes
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States
| | - Lu Yin
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States
| | - An-Yi Chang
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States
| | - Sumeyye Seker
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States
| | - Joseph Wang
- Department of Nanoengineering, University of California San Diego, La Jolla, San Diego, California 92093, United States
| |
Collapse
|
47
|
Shi Z, Li X, Shuai Y, Lu Y, Liu Q. The development of wearable technologies and their potential for measuring nutrient intake: Towards precision nutrition. NUTR BULL 2022; 47:388-406. [PMID: 36134894 DOI: 10.1111/nbu.12581] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 08/22/2022] [Accepted: 08/22/2022] [Indexed: 01/04/2023]
Abstract
Appropriate food intake and nutritional status are crucial for the maintenance of health and disease prevention. Conventional dietary assessment is mainly based on comparisons of nutrient intakes with reference intakes, failing to meet the needs of personalised nutritional guidance based on individual nutritional status. Given their capability of providing insights into health information non-invasively in real time, wearable technologies offer great opportunities for nutrition monitoring. Nutrient metabolic profiles can be monitored immediately and continuously which could potentially offer the possibility for the tracking and guiding of nutrient intake. Here, we review and highlight the recent advances in wearable sensors from the perspective of sensing technologies for nutrient detection in biofluids. The integration of biosensors with wearable devices serves as an ideal platform for the analysis of biofluids including sweat, saliva and tears. The wearable sensing systems applied to the analysis of typical nutrients and important metabolites are demonstrated in terms of carbohydrates, proteins, lipids, vitamins, minerals and others. Taking advantage of their high flexibility and lightweight, wearable sensors have been widely developed for the in situ quantitative detection of metabolic biomarkers. The technical principles, detection methods and applications are summarised. The challenges and future perspectives for wearable nutrition monitoring devices are discussed including the need to better determine relationships among nutrient metabolic profile, nutrient intake and food intake. With the development of materials, sensing techniques and manufacturing processes, wearable technologies are paving the way towards personalised precision nutrition, although there is still a long way to go before they can be utilised for practical clinical applications. Joint research efforts between nutrition scientists, doctors, engineers and sensor researchers are essential to further accelerate the realisation of reliable and practical wearable nutrition monitoring platforms.
Collapse
Affiliation(s)
- Zhenghan Shi
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, China
| | - Xin Li
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, China
| | - Yifan Shuai
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, China
| | - Yanli Lu
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, China
| | - Qingjun Liu
- Department of Biomedical Engineering, Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Zhejiang University, Hangzhou, China
| |
Collapse
|
48
|
Yuan H, Chen P, Wan C, Li Y, Liu BF. Merging microfluidics with luminescence immunoassays for urgent point-of-care diagnostics of COVID-19. Trends Analyt Chem 2022; 157:116814. [PMID: 36373139 PMCID: PMC9637550 DOI: 10.1016/j.trac.2022.116814] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/29/2022] [Accepted: 10/30/2022] [Indexed: 11/09/2022]
Abstract
The Coronavirus disease 2019 (COVID-19) outbreak has urged the establishment of a global-wide rapid diagnostic system. Current widely-used tests for COVID-19 include nucleic acid assays, immunoassays, and radiological imaging. Immunoassays play an irreplaceable role in rapidly diagnosing COVID-19 and monitoring the patients for the assessment of their severity, risks of the immune storm, and prediction of treatment outcomes. Despite of the enormous needs for immunoassays, the widespread use of traditional immunoassay platforms is still limited by high cost and low automation, which are currently not suitable for point-of-care tests (POCTs). Microfluidic chips with the features of low consumption, high throughput, and integration, provide the potential to enable immunoassays for POCTs, especially in remote areas. Meanwhile, luminescence detection can be merged with immunoassays on microfluidic platforms for their good performance in quantification, sensitivity, and specificity. This review introduces both homogenous and heterogenous luminescence immunoassays with various microfluidic platforms. We also summarize the strengths and weaknesses of the categorized methods, highlighting their recent typical progress. Additionally, different microfluidic platforms are described for comparison. The latest advances in combining luminescence immunoassays with microfluidic platforms for POCTs of COVID-19 are further explained with antigens, antibodies, and related cytokines. Finally, challenges and future perspectives were discussed.
Collapse
Affiliation(s)
- Huijuan Yuan
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Peng Chen
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Chao Wan
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Yiwei Li
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Bi-Feng Liu
- The Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics-Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China
| |
Collapse
|
49
|
Mishra N, Garland NT, Hewett KA, Shamsi M, Dickey MD, Bandodkar AJ. A Soft Wearable Microfluidic Patch with Finger-Actuated Pumps and Valves for On-Demand, Longitudinal, and Multianalyte Sweat Sensing. ACS Sens 2022; 7:3169-3180. [PMID: 36250738 DOI: 10.1021/acssensors.2c01669] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Easy sample collection, physiological relevance, and ability to noninvasively and longitudinally monitor the human body are some of the key attributes of wearable sweat sensors. Examples typically include reversible sensors or an array of single-use sensors embedded in specialized microfluidics for temporal analysis of sweat. However, evolving this field to a level that truly represents "lab-on-skin" technology will require the incorporation of advanced functionalities that give the user the freedom to (1) choose the precise time for performing sample analysis and (2) select sensors from an array embedded within the device for performing condition-specific sample analysis. Here, we introduce new concepts in wearable microfluidic platforms that offer such capabilities. The described technology involves a series of finger-actuated pumps, valves, and sensors incorporated within soft, wearable microfluidics. The incoming sweat collects in the inlet chamber and can be analyzed by the user at the time of their choosing. On-demand sweat analyte assessment is achieved by pulling a thin tab to activate a pump which opens a valve and allows the pooled sweat to enter a chamber embedded with sensors for the desired analytes. The article describes a thorough characterization of the platform that demonstrates the robustness of the pumping, valving, and sensing aspects of the device under conditions mimicking real-life scenarios. A two-day-long human pilot study validates the system and illustrates the device's ability to offer on-demand, longitudinal, and multianalyte sensing. Our work represents the first example of a wearable system with such on-demand sensing capabilities and opens exciting avenues in sweat sensing for acquiring new insights into human physiology.
Collapse
Affiliation(s)
- Navya Mishra
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States.,Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Nate T Garland
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States.,Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Krystyn A Hewett
- Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States.,Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Mohammad Shamsi
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Michael D Dickey
- Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
| | - Amay J Bandodkar
- Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States.,Center for Advanced Self-Powered Systems of Integrated Sensors and Technologies (ASSIST), North Carolina State University, Raleigh, North Carolina 27606, United States
| |
Collapse
|
50
|
Singh A, Ahmed A, Sharma A, Arya S. Graphene and Its Derivatives: Synthesis and Application in the Electrochemical Detection of Analytes in Sweat. BIOSENSORS 2022; 12:910. [PMID: 36291046 PMCID: PMC9599499 DOI: 10.3390/bios12100910] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/07/2022] [Accepted: 10/15/2022] [Indexed: 05/25/2023]
Abstract
Wearable sensors and invasive devices have been studied extensively in recent years as the demand for real-time human healthcare applications and seamless human-machine interaction has risen exponentially. An explosion in sensor research throughout the globe has been ignited by the unique features such as thermal, electrical, and mechanical properties of graphene. This includes wearable sensors and implants, which can detect a wide range of data, including body temperature, pulse oxygenation, blood pressure, glucose, and the other analytes present in sweat. Graphene-based sensors for real-time human health monitoring are also being developed. This review is a comprehensive discussion about the properties of graphene, routes to its synthesis, derivatives of graphene, etc. Moreover, the basic features of a biosensor along with the chemistry of sweat are also discussed in detail. The review mainly focusses on the graphene and its derivative-based wearable sensors for the detection of analytes in sweat. Graphene-based sensors for health monitoring will be examined and explained in this study as an overview of the most current innovations in sensor designs, sensing processes, technological advancements, sensor system components, and potential hurdles. The future holds great opportunities for the development of efficient and advanced graphene-based sensors for the detection of analytes in sweat.
Collapse
Affiliation(s)
| | | | | | - Sandeep Arya
- Department of Physics, University of Jammu, Jammu 180006, India
| |
Collapse
|