Wearable Eye Patch Biosensor for Noninvasive and Simultaneous Detection of Multiple Biomarkers in Human Tears
We develop a novel noninvasive wearable biosensor to simultaneously assay multiple key biomarkers in human tears. The sensor is uniquely designed as a convenient-to-use eye patch that can be easily and comfortably fit under eyes. Different sensing regions on the eye patch are modified with specific...
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Published in | Analytical chemistry (Washington) Vol. 94; no. 24; pp. 8659 - 8667 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
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United States
American Chemical Society
21.06.2022
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Subjects | |
Online Access | Get full text |
ISSN | 0003-2700 1520-6882 1520-6882 |
DOI | 10.1021/acs.analchem.2c00614 |
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Abstract | We develop a novel noninvasive wearable biosensor to simultaneously assay multiple key biomarkers in human tears. The sensor is uniquely designed as a convenient-to-use eye patch that can be easily and comfortably fit under eyes. Different sensing regions on the eye patch are modified with specific chromogenic reagents to selectively determine the hydrogen ion (pH), protein, ascorbic acid, and glucose in tears. The assay takes only one drop of tear (∼20 μL) and a 30 s response time. The resulting color signals from each sensing region on the eye patch are captured and analyzed using a smartphone, and a cloud model based on the internet of things concept is recommended, which can extend the application of the eye patch biosensors in point-of-care testing and health monitoring, especially during the pandemic. Tear detection of the human subjects is performed using the proposed method, and the results display good correlation to parallel measurements using assay kits. The results show the great potential and versatility of the proposed eye patch biosensor for noninvasive determination of diverse tear biomarkers, facilitating the widespread application of the tear-based noninvasive wearable biosensor in emerging personal health care and clinical monitoring fields. |
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AbstractList | We develop a novel noninvasive wearable biosensor to simultaneously assay multiple key biomarkers in human tears. The sensor is uniquely designed as a convenient-to-use eye patch that can be easily and comfortably fit under eyes. Different sensing regions on the eye patch are modified with specific chromogenic reagents to selectively determine the hydrogen ion (pH), protein, ascorbic acid, and glucose in tears. The assay takes only one drop of tear (∼20 μL) and a 30 s response time. The resulting color signals from each sensing region on the eye patch are captured and analyzed using a smartphone, and a cloud model based on the internet of things concept is recommended, which can extend the application of the eye patch biosensors in point-of-care testing and health monitoring, especially during the pandemic. Tear detection of the human subjects is performed using the proposed method, and the results display good correlation to parallel measurements using assay kits. The results show the great potential and versatility of the proposed eye patch biosensor for noninvasive determination of diverse tear biomarkers, facilitating the widespread application of the tear-based noninvasive wearable biosensor in emerging personal health care and clinical monitoring fields. We develop a novel noninvasive wearable biosensor to simultaneously assay multiple key biomarkers in human tears. The sensor is uniquely designed as a convenient-to-use eye patch that can be easily and comfortably fit under eyes. Different sensing regions on the eye patch are modified with specific chromogenic reagents to selectively determine the hydrogen ion (pH), protein, ascorbic acid, and glucose in tears. The assay takes only one drop of tear (∼20 μL) and a 30 s response time. The resulting color signals from each sensing region on the eye patch are captured and analyzed using a smartphone, and a cloud model based on the internet of things concept is recommended, which can extend the application of the eye patch biosensors in point-of-care testing and health monitoring, especially during the pandemic. Tear detection of the human subjects is performed using the proposed method, and the results display good correlation to parallel measurements using assay kits. The results show the great potential and versatility of the proposed eye patch biosensor for noninvasive determination of diverse tear biomarkers, facilitating the widespread application of the tear-based noninvasive wearable biosensor in emerging personal health care and clinical monitoring fields.We develop a novel noninvasive wearable biosensor to simultaneously assay multiple key biomarkers in human tears. The sensor is uniquely designed as a convenient-to-use eye patch that can be easily and comfortably fit under eyes. Different sensing regions on the eye patch are modified with specific chromogenic reagents to selectively determine the hydrogen ion (pH), protein, ascorbic acid, and glucose in tears. The assay takes only one drop of tear (∼20 μL) and a 30 s response time. The resulting color signals from each sensing region on the eye patch are captured and analyzed using a smartphone, and a cloud model based on the internet of things concept is recommended, which can extend the application of the eye patch biosensors in point-of-care testing and health monitoring, especially during the pandemic. Tear detection of the human subjects is performed using the proposed method, and the results display good correlation to parallel measurements using assay kits. The results show the great potential and versatility of the proposed eye patch biosensor for noninvasive determination of diverse tear biomarkers, facilitating the widespread application of the tear-based noninvasive wearable biosensor in emerging personal health care and clinical monitoring fields. |
Author | Yang, Li Liu, Xiaoxuan Xu, Jia Tao, Xiaoqin |
AuthorAffiliation | Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Department of Chemistry |
AuthorAffiliation_xml | – name: Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Department of Chemistry |
Author_xml | – sequence: 1 givenname: Jia surname: Xu fullname: Xu, Jia – sequence: 2 givenname: Xiaoqin surname: Tao fullname: Tao, Xiaoqin – sequence: 3 givenname: Xiaoxuan surname: Liu fullname: Liu, Xiaoxuan – sequence: 4 givenname: Li orcidid: 0000-0001-6723-7377 surname: Yang fullname: Yang, Li email: yangl330@nenu.edu.cn |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35656772$$D View this record in MEDLINE/PubMed |
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SubjectTerms | analytical chemistry Ascorbic acid Assaying Biomarkers Biosensors Chemistry color eyes glucose Health care Human performance humans hydrogen Hydrogen ions Internet Internet of Things mobile telephones pandemic Reagents Response time Smartphones Tears Wearable technology |
Title | Wearable Eye Patch Biosensor for Noninvasive and Simultaneous Detection of Multiple Biomarkers in Human Tears |
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