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Yang Y, Sheng C, Dong F, Liu S. An integrated wearable differential microneedle array for continuous glucose monitoring in interstitial fluids. Biosens Bioelectron 2024; 256:116280. [PMID: 38603840 DOI: 10.1016/j.bios.2024.116280] [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: 01/22/2024] [Revised: 04/02/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024]
Abstract
Monitoring biomarkers in human interstitial fluids (ISF) using microneedle sensors has been extensively studied. However, most of the previous studies were limited to simple in vitro demonstrations and lacked system integration and analytical performance. Here we report a miniaturized, high-precision, fully integrated wearable electrochemical microneedle sensing device that works with a customized smartphone application to wirelessly and in real-time monitor glucose in human ISF. A microneedle array fabrication method is proposed which enables multiple individually addressable, regionally separated sensing electrodes on a single microneedle system. As a demonstration, a glucose sensor and a differential sensor are integrated in a single sensing patch. The differential sensing electrodes can eliminate common-mode interference signals, thus significantly improving the detection accuracy. The basic mechanism of microneedle penetration into the skin was analyzed using the finite element method (FEM). By optimizing the structure of the microneedle, the puncture efficiency was improved while the puncture force was reduced. The electrochemical properties, biocompatibility, and system stability of the microneedle sensing device were characterized before human application. The test results were closely correlated with the gold standard (blood). The platform can be used not only for glucose detection, but also for various ISF biomarkers, and it expands the potential of microneedle technology in wearable sensing.
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Affiliation(s)
- Yong Yang
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Can Sheng
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China
| | - Fang Dong
- The Institute of Technological Sciences, Wuhan University, Wuhan, 430072, China.
| | - Sheng Liu
- School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China; The Institute of Technological Sciences, Wuhan University, Wuhan, 430072, China; School of Power and Mechanical Engineering, Wuhan University, Wuhan, 430072, China; School of Microelectronics, Wuhan University, Wuhan, 430072, China.
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2
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Pei S, Babity S, Sara Cordeiro A, Brambilla D. Integrating microneedles and sensing strategies for diagnostic and monitoring applications: The state of the art. Adv Drug Deliv Rev 2024; 210:115341. [PMID: 38797317 DOI: 10.1016/j.addr.2024.115341] [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: 02/17/2024] [Revised: 04/23/2024] [Accepted: 05/18/2024] [Indexed: 05/29/2024]
Abstract
Microneedles (MNs) offer minimally-invasive access to interstitial fluid (ISF) - a potent alternative to blood in terms of monitoring physiological analytes. This property is particularly advantageous for the painless detection and monitoring of drugs and biomolecules. However, the complexity of the skin environment, coupled with the inherent nature of the analytes being detected and the inherent physical properties of MNs, pose challenges when conducting physiological monitoring using this fluid. In this review, we discuss different sensing mechanisms and highlight advancements in monitoring different targets, with a particular focus on drug monitoring. We further list the current challenges facing the field and conclude by discussing aspects of MN design which serve to enhance their performance when monitoring different classes of analytes.
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Affiliation(s)
- Shihao Pei
- Faculté de pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montréal, Québec H3T 1J4, Canada
| | - Samuel Babity
- Faculté de pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montréal, Québec H3T 1J4, Canada
| | - Ana Sara Cordeiro
- Leicester Institute for Pharmaceutical Innovation, Leicester School of Pharmacy, De Montfort University, Leicester LE1 9BH, United Kingdom.
| | - Davide Brambilla
- Faculté de pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montréal, Québec H3T 1J4, Canada.
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3
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Xu W, Lu L, He Y, Cheng L, Liu A. Long-Term Detection of Glycemic Glucose/Hypoglycemia by Microfluidic Sweat Monitoring Patch. BIOSENSORS 2024; 14:294. [PMID: 38920598 PMCID: PMC11202208 DOI: 10.3390/bios14060294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 06/27/2024]
Abstract
A microfluidic sweat monitoring patch that collects human sweat for a long time is designed to achieve the effect of detecting the rise and fall of human sweat glucose over a long period of time by increasing the use time of a single patch. Five collection pools, four serpentine channels, and two different valves are provided. Among them, the three-dimensional valve has a large burst pressure as a balance between the internal and external air pressures of the patch. The bursting pressure of the two-dimensional diverter valve is smaller than that of the three-dimensional gas valve, and its role is to control the flow direction of the liquid. Through plasma hydrophilic treatment of different durations, the optimal hydrophilic duration is obtained. The embedded chromogenic disc detects the sweat glucose value at two adjacent time intervals and compares the information of the human body to increase or reduce glucose. The patch has good flexibility and can fit well with human skin, and because polydimethylsiloxane (PDMS) has good light transmission, it reduces the measurement error caused by the color-taking process and makes the detection results more accurate.
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Affiliation(s)
| | | | | | - Lin Cheng
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, School of Science, Zhejiang Sci-Tech University, Hangzhou 310018, China; (W.X.); (L.L.); (Y.H.)
| | - Aiping Liu
- Key Laboratory of Optical Field Manipulation of Zhejiang Province, School of Science, Zhejiang Sci-Tech University, Hangzhou 310018, China; (W.X.); (L.L.); (Y.H.)
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4
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Li G, Xue P, Fan H, Ma Y, Wang H, Lu D, Gao J, Wen D. AuNi bimetallic aerogel with ultra-high stability applied in smart and portable biosensing. Anal Chim Acta 2024; 1306:342613. [PMID: 38692794 DOI: 10.1016/j.aca.2024.342613] [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: 12/17/2023] [Revised: 04/03/2024] [Accepted: 04/13/2024] [Indexed: 05/03/2024]
Abstract
Glucose detection is of significant importance in providing information to the human health management. However, conventional enzymatic glucose sensors suffer from a limited long-term stability due to the losing activity of the enzymes. In this work, the AuNi bimetallic aerogel with a well-defined nanowire network is synthesized and applied as the sensing nanomaterial in the non-enzymatic glucose detection. The three-dimensional (3D) hierarchical porous structure of the AuNi bimetallic aerogel ensures the high sensitivity of the sensor (40.34 μA mM-1 cm-2). Theoretical investigation unveiled the mechanism of the boosting electrocatalytic activity of the AuNi bimetallic aerogel toward glucose. A better adhesion between the sensing nanomaterial and the screen-printing electrodes (SPEs) is obtained after the introduction of Ni. On the basis of a wide linearity in the range of 0.1-5 mM, an excellent selectivity, an outstanding long-term stability (90 days) as well as the help of the signal processing circuit and an M5stack development board, the as-prepared glucose sensor successfully realizes remote monitoring of the glucose concentration. We speculate that this work is favorable to motivating the technological innovations of the non-enzymatic glucose sensors and intelligent sensing devices.
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Affiliation(s)
- Guanglei Li
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China; State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, NPU and Shaanxi Joint Laboratory of Graphene, Xi'an, 710072, PR China
| | - Pengxin Xue
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China
| | - Haoxin Fan
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, NPU and Shaanxi Joint Laboratory of Graphene, Xi'an, 710072, PR China
| | - Yuan Ma
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China
| | - Haoyu Wang
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China
| | - Danfeng Lu
- Faculty of Printing, Packaging Engineering, and Digital Media Technology, Xi'an University of Technology, Xi'an, 710048, PR China
| | - Jie Gao
- Interdisciplinary Research Center of Biology & Catalysis, School of Life Sciences, Northwestern Polytechnical University (NPU), Xi'an, 710072, PR China; Research Institute of Industrial Technology, Zhengzhou University, Zhengzhou, 450001, PR China.
| | - Dan Wen
- State Key Laboratory of Solidification Processing, Center for Nano Energy Materials, School of Materials Science and Engineering, NPU and Shaanxi Joint Laboratory of Graphene, Xi'an, 710072, PR China.
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Tang C, Zhou K, Wang R, Li M, Liu W, Li C, Chen X, Lu Q, Chang Y. Wearable biosensors for human sweat glucose detection based on carbon black nanoparticles. Anal Bioanal Chem 2024; 416:1407-1415. [PMID: 38246908 DOI: 10.1007/s00216-024-05135-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/20/2023] [Accepted: 12/21/2023] [Indexed: 01/23/2024]
Abstract
Wearable glucose biosensors enable noninvasive glucose monitoring, thereby enhancing blood glucose management. In this work, we present a wearable biosensor based on carbon black nanoparticles (CBNPs) for glucose detection in human sweat. The biosensor consists of CBNPs, Prussian blue (PB), glucose oxidase, chitosan, and Nafion. The fabricated biosensor has a linear range of 5 µM to 1250 µM, sensitivity of 14.64 µA mM-1 cm-2, and a low detection potential (-0.05 V, vs. Ag/AgCl). The detection limit for glucose was calculated as 4.83 µM. This reusable biosensor has good selectivity and stability and exhibits a good response to glucose in real sweat. These results demonstrate the potential of our CBNP-based biosensor for monitoring blood glucose in human sweat.
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Affiliation(s)
- Chaoli Tang
- School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, 232001, China
| | - Kai Zhou
- School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, 232001, China
- Agricultural Sensors and Intelligent Perception Technology Innovation Center of Anhui Province, Zhongke Hefei Institutes of Collaborative Research and Innovation for Intelligent Agriculture, Hefei, 231131, China
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
| | - Rujing Wang
- Agricultural Sensors and Intelligent Perception Technology Innovation Center of Anhui Province, Zhongke Hefei Institutes of Collaborative Research and Innovation for Intelligent Agriculture, Hefei, 231131, China.
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
| | - Mengya Li
- Agricultural Sensors and Intelligent Perception Technology Innovation Center of Anhui Province, Zhongke Hefei Institutes of Collaborative Research and Innovation for Intelligent Agriculture, Hefei, 231131, China
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
| | - Wenlong Liu
- School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan, 232001, China
- Agricultural Sensors and Intelligent Perception Technology Innovation Center of Anhui Province, Zhongke Hefei Institutes of Collaborative Research and Innovation for Intelligent Agriculture, Hefei, 231131, China
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
| | - Chengpan Li
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, 230027, China
| | - Xiangyu Chen
- Agricultural Sensors and Intelligent Perception Technology Innovation Center of Anhui Province, Zhongke Hefei Institutes of Collaborative Research and Innovation for Intelligent Agriculture, Hefei, 231131, China
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
| | - Qinwen Lu
- Agricultural Sensors and Intelligent Perception Technology Innovation Center of Anhui Province, Zhongke Hefei Institutes of Collaborative Research and Innovation for Intelligent Agriculture, Hefei, 231131, China
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China
| | - Yongjia Chang
- Agricultural Sensors and Intelligent Perception Technology Innovation Center of Anhui Province, Zhongke Hefei Institutes of Collaborative Research and Innovation for Intelligent Agriculture, Hefei, 231131, China.
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China.
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6
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Yao W, He H, Wang F. CTAB-Modulated Electroplating of Copper Micropillar Arrays for Non-Enzymatic Glucose Sensing with Improved Sensitivity. SENSORS (BASEL, SWITZERLAND) 2024; 24:1603. [PMID: 38475139 DOI: 10.3390/s24051603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/05/2024] [Accepted: 01/07/2024] [Indexed: 03/14/2024]
Abstract
Micropillar array electrodes represent a promising avenue for enhancing detection sensitivity and response current. However, existing methods for depositing electrode materials on micropillar arrays often result in uneven distribution, with the thin sidewall layer being less conductive and prone to corrosion. In addressing this issue, this study introduces electroplating to enhance the copper layer on the sidewall of micropillar array electrodes. These electrodes, fabricated through standard microelectronics processes and electroplating, are proposed for non-enzymatic glucose detection, with the copper layer deposited via electroplating significantly enhancing sensitivity. Initially, the impact of cetyltrimethylammonium bromide (CTAB) concentration as an inhibitor on the surface morphology and sensitivity of the plated layer was investigated. It was discovered that CTAB could decrease surface roughness, hinder the development of large and coarse grains, generate small particles, and boost sensitivity. Compared to the uncoated electrode and plating without CTAB, sensitivity was elevated by a factor of 1.66 and 1.62, respectively. Subsequently, the alterations in plating morphology and detection performance within a range of 0.3 ASD to 3 ASD were examined. Sensitivity demonstrated a tendency to increase initially and then decrease. The electrode plated at 0.75 ASD achieved a maximum sensitivity of 3314 μA·mM-1·cm-2 and a detection limit of 15.9 μM. Furthermore, a potential mechanism explaining the impact of different morphology on detection performance due to CTAB and current density was discussed. It was believed that the presented effective strategy to enhance the sensitivity of micropillar array electrodes for glucose detection would promote the related biomedical detection applications.
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Affiliation(s)
- Wenhao Yao
- State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
| | - Hu He
- State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
| | - Fuliang Wang
- State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China
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7
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Xiao Y, Hou L, Wang M, Liu R, Han L, Nikolai M, Zhang S, Cheng C, Hu K. Noninvasive glucose monitoring using portable GOx-Based biosensing system. Anal Chim Acta 2024; 1287:342068. [PMID: 38182375 DOI: 10.1016/j.aca.2023.342068] [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: 11/12/2023] [Accepted: 11/22/2023] [Indexed: 01/07/2024]
Abstract
Wearable biosensors have gained huge interest due to their potential for real-time physiological information. The development of a non-invasive blood glucose device is of great interests for health monitoring in reducing the diabetes incidence. Here, we report a sandwich-structured biosensor that is designed for glucose levels detection by using sweat as the means of monitoring. The Prussian blue nanoparticles (PBNPs) and carboxylated carbon nanotubes (MWCNT-COOH) were self-assembled on the electrode to improve the electrochemical performance and as the sensor unit, glucose oxidase (GOx) was immobilized by chitosan (CS) as the reaction catalysis unit, and finally encapsulated with Nafion to ensure a stable performance. As a result, the GOx/PBNPs/MWCNT-COOH sensor displays a low detection limit (7.0 μM), high sensitivity (11.87 μA mM-1 cm-2), and excellent interference resistance for a full sweat glucose application range (0.0-1.0 mM) for both healthy individuals and diabetic patients. Additionally, the glucose sensor exhibits stable stability for two weeks and can be successfully applied to screen-printed carbon electrodes (SPCE), demonstrating its great potential for personalized medical detection and chronic disease management.
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Affiliation(s)
- Yingying Xiao
- Beijing Institute of Graphic Communication, Beijing, 102600, China
| | - Lanlan Hou
- Beijing Institute of Graphic Communication, Beijing, 102600, China
| | - Mengzhu Wang
- Beijing Institute of Graphic Communication, Beijing, 102600, China
| | - Ruping Liu
- Beijing Institute of Graphic Communication, Beijing, 102600, China.
| | - Lu Han
- Beijing Institute of Graphic Communication, Beijing, 102600, China
| | - Mukhurov Nikolai
- SSPA Optics, Optoelectronics and Laser Technology, National Academy of Sciences of Belarus, Minsk, 220072, Belarus
| | - Siqi Zhang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
| | - Chuantong Cheng
- State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
| | - Kuan Hu
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China.
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8
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Chen H, Yang K, Sang S, Guo X, Ge Y, Wang H, Xiao P, Dong X, Zhao D. A mechanical HSA biosensor based on multi-field-coupling-mediated magnetic sensitization strategy. Anal Biochem 2023; 677:115264. [PMID: 37516423 DOI: 10.1016/j.ab.2023.115264] [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: 05/18/2023] [Revised: 07/13/2023] [Accepted: 07/24/2023] [Indexed: 07/31/2023]
Abstract
The conventional mechanical biosensor based on stress and electrical conversion can be an effective method to detect key human biomarkers for clinical diagnosis and early disease prevention. However, the applications of this type of biosensor are greatly limited due to their unsatisfactory sensitivity. In this work, a magnetic-sensitized (MS) mechanical biosensor based on multi-field coupling was developed for higher sensitivity, giving access to detect human serum albumin (HSA). Via introducing secondary magnetic antibodies labeled with magnetized Fe2O3 nanoparticles to the stress and electrical conversion element of the MS-biosensor, the multi-field coupling was realized based on stress, electricity, and magnetism. Under the action of the magnetic field, the magnetic force of the secondary magnetic antibody and the stress of antigen-antibody binding jointly drove and enhanced the deformation of the MS-biosensor, amplifying the electrical signal, and realizing magnetic sensitization. The HSA was detected by the MS-biosensor at a range of 0-80 μg/mL with a limit of detection (LOD) of 0.14 μg/mL, demonstrating the high performance of the MS-biosensor. Moreover, the MS-biosensor showed high selectivity, specificity, and stability, indicating that the magnetic sensitization strategy of the MS-biosensor was significant for the clinical application of mechanical biosensors.
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Affiliation(s)
- Honglie Chen
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Kun Yang
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Shengbo Sang
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Xing Guo
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Yang Ge
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Haoyu Wang
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China
| | - Pengli Xiao
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China
| | | | - Dong Zhao
- Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Information and Computer, Taiyuan University of Technology, Taiyuan, 030024, China.
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Lazaro A, Villarino R, Lazaro M, Canellas N, Prieto-Simon B, Girbau D. Recent Advances in Batteryless NFC Sensors for Chemical Sensing and Biosensing. BIOSENSORS 2023; 13:775. [PMID: 37622861 PMCID: PMC10452174 DOI: 10.3390/bios13080775] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 07/28/2023] [Accepted: 07/29/2023] [Indexed: 08/26/2023]
Abstract
This article reviews the recent advances in the field of batteryless near-field communication (NFC) sensors for chemical sensing and biosensing. The commercial availability of low-cost commercial NFC integrated circuits (ICs) and their massive integration in smartphones, used as readers and cloud interfaces, have aroused great interest in new batteryless NFC sensors. The fact that coil antennas are not importantly affected by the body compared with other wireless sensors based on far-field communications makes this technology suitable for future wearable point-of-care testing (PoCT) devices. This review first compares energy harvesting based on NFC to other energy-harvesting technologies. Next, some practical recommendations for designing and tuning NFC-based tags are described. Power transfer is key because in most cases, the energy harvested has to be stable for several seconds and not contaminated by undesired signals. For this reason, the effect of the dimensions of the coils and the conductivity on the wireless power transfer is thoroughly discussed. In the last part of the review, the state of the art in NFC-based chemical and biosensors is presented. NFC-based tags (or sensor tags) are mainly based on commercial or custom NFC ICs, which are used to harvest the energy from the RF field generated by the smartphone to power the electronics. Low-consumption colorimeters and potentiostats can be integrated into these NFC tags, opening the door to the integration of chemical sensors and biosensors, which can be harvested and read from a smartphone. The smartphone is also used to upload the acquired information to the cloud to facilitate the internet of medical things (IoMT) paradigm. Finally, several chipless sensors recently proposed in the literature as a low-cost alternative for chemical applications are discussed.
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Affiliation(s)
- Antonio Lazaro
- Department of Electronics, Electrics and Automatic Control Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.V.); (M.L.); (N.C.); (B.P.-S.); (D.G.)
| | - Ramon Villarino
- Department of Electronics, Electrics and Automatic Control Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.V.); (M.L.); (N.C.); (B.P.-S.); (D.G.)
| | - Marc Lazaro
- Department of Electronics, Electrics and Automatic Control Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.V.); (M.L.); (N.C.); (B.P.-S.); (D.G.)
| | - Nicolau Canellas
- Department of Electronics, Electrics and Automatic Control Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.V.); (M.L.); (N.C.); (B.P.-S.); (D.G.)
| | - Beatriz Prieto-Simon
- Department of Electronics, Electrics and Automatic Control Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.V.); (M.L.); (N.C.); (B.P.-S.); (D.G.)
- Catalan Institution for Research and Advanced Studies (ICREA), Pg. Lluís Companys 23, 08010 Barcelona, Spain
| | - David Girbau
- Department of Electronics, Electrics and Automatic Control Engineering, Rovira i Virgili University, 43007 Tarragona, Spain; (R.V.); (M.L.); (N.C.); (B.P.-S.); (D.G.)
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10
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Gong L, Bonmarin M, Spano F, Shen Y, Shen L, Han G, Wei S, Zhang Q, Chen Z, Zhao F. Integrated Device Based on a Sudomotor Nanomaterial for Sweat Detection. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37318096 DOI: 10.1021/acsami.3c03401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The compositions of sweat and blood are related. Therefore, sweat is an ideal noninvasive test body fluid that could replace blood for linear detection of many biomarkers, especially blood glucose. However, access to sweat samples remains limited to physical exercise, thermal stimulation, or electrical stimulation. Despite intensive research, a continuous, innocuous, and stable method for sweat stimulation and detection has not yet been developed. In this study, a nanomaterial for a sweat-stimulating gel based on the transdermal drug delivery system is presented, which transports acetylcholine chloride into the receptors of sweat glands to achieve the function of biological stimulation of skin sweating. The nanomaterial was applied to a suitable integrated sweat glucose detection device for noninvasive blood glucose monitoring. The total amount of evaporated sweat enabled by the nanomaterial is up to 35 μL·cm-2 for 24 h, and the device detects up to 17.65 μM glucose under optimal conditions, showing stable performance regardless of the user's activity level. In addition, the in vivo test was performed and compared with several studies and products, which showed excellent detection performance and osmotic relationship. The nanomaterial and associated integrated device represent a significant advance in continuous passive sweat stimulation and noninvasive sweat glucose measurement for point-of-care applications.
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Affiliation(s)
- Liuyu Gong
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
| | - Mathias Bonmarin
- School of Engineering, Zurich University of Applied Sciences, Technikumstrasse 9, Winterthur, Zurich 8400, Switzerland
| | - Fabrizio Spano
- School of Engineering, Zurich University of Applied Sciences, Technikumstrasse 9, Winterthur, Zurich 8400, Switzerland
| | - Ya Shen
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
| | - Lin Shen
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
| | - Guocheng Han
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
| | - Shanshan Wei
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
| | - Qihan Zhang
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
| | - Zhencheng Chen
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
| | - Feijun Zhao
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, Guangxi, China
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Zhang S, Zhao W, Zeng J, He Z, Wang X, Zhu Z, Hu R, Liu C, Wang Q. Wearable non-invasive glucose sensors based on metallic nanomaterials. Mater Today Bio 2023; 20:100638. [PMID: 37128286 PMCID: PMC10148187 DOI: 10.1016/j.mtbio.2023.100638] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/01/2023] [Accepted: 04/14/2023] [Indexed: 05/03/2023] Open
Abstract
The development of wearable non-invasive glucose sensors provides a convenient technical means to monitor the glucose concentration of diabetes patients without discomfortability and risk of infection. Apart from enzymes as typical catalytic materials, the active catalytic materials of the glucose sensor are mainly composed of polymers, metals, alloys, metal compounds, and various metals that can undergo catalytic oxidation with glucose. Among them, metallic nanomaterials are the optimal materials applied in the field of wearable non-invasive glucose sensing due to good biocompatibility, large specific surface area, high catalytic activity, and strong adsorption capacity. This review summarizes the metallic nanomaterials used in wearable non-invasive glucose sensors including zero-dimensional (0D), one-dimensional (1D), and two-dimensional (2D) monometallic nanomaterials, bimetallic nanomaterials, metal oxide nanomaterials, etc. Besides, the applications of wearable non-invasive biosensors based on these metallic nanomaterials towards glucose detection are summarized in detail and the development trend of the wearable non-invasive glucose sensors based on metallic nanomaterials is also outlook.
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Affiliation(s)
- Sheng Zhang
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
- School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China
- NingboTech University, Ningbo, 315100, China
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China
| | - Wenjie Zhao
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
- School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Junyan Zeng
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
- School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Zhaotao He
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
- School of Mechanical Engineering, Zhejiang University, Hangzhou, 310027, China
| | - Xiang Wang
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China
| | - Zehui Zhu
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
| | - Runqing Hu
- NingboTech University, Ningbo, 315100, China
| | - Chen Liu
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China
- Corresponding author. Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China.
| | - Qianqian Wang
- Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China
- NingboTech University, Ningbo, 315100, China
- Corresponding author. Ningbo Innovation Center, Zhejiang University, Ningbo, 315100, China.
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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.
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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.
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Yuan X, Li C, Yin X, Yang Y, Ji B, Niu Y, Ren L. Epidermal Wearable Biosensors for Monitoring Biomarkers of Chronic Disease in Sweat. BIOSENSORS 2023; 13:313. [PMID: 36979525 PMCID: PMC10045998 DOI: 10.3390/bios13030313] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/15/2023] [Accepted: 02/21/2023] [Indexed: 06/18/2023]
Abstract
Biological information detection technology is mainly used for the detection of physiological and biochemical parameters closely related to human tissues and organ lesions, such as biomarkers. This technology has important value in the clinical diagnosis and treatment of chronic diseases in their early stages. Wearable biosensors can be integrated with the Internet of Things and Big Data to realize the detection, transmission, storage, and comprehensive analysis of human physiological and biochemical information. This technology has extremely wide applications and considerable market prospects in frontier fields including personal health monitoring, chronic disease diagnosis and management, and home medical care. In this review, we systematically summarized the sweat biomarkers, introduced the sweat extraction and collection methods, and discussed the application and development of epidermal wearable biosensors for monitoring biomarkers in sweat in preclinical research in recent years. In addition, the current challenges and development prospects in this field were discussed.
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Affiliation(s)
- Xichen Yuan
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- MOE Key Laboratory of Micro and Nano Systems for Aerospace, Northwestern Polytechnical University, Xi’an 710072, China
| | - Chen Li
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
| | - Xu Yin
- School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
| | - Yang Yang
- Ministry of Education Key Laboratory of Low-Grade Energy Utilization Technologies and Systems, Chongqing University, Chongqing 400030, China
| | - Bowen Ji
- Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an 710072, China
| | - Yinbo Niu
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
| | - Li Ren
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi’an 710072, China
- Key Laboratory of Flexible Electronics of Zhejiang, Ningbo Institute of Northwestern Polytechnical University, Ningbo 315103, China
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