Optical Fiber Integrated Photoelectrochemical Sensing Patch: Toward Noninvasive Blood Glucose Detection

In recent years, non-invasive blood glucose detection has received increasing attention. Among them, sweat glucose detection is expected to become an alternative to blood glucose detection due to advantages such as its samples easily to obtain. This study was proposed and preliminarily verified a prototype of photoelectrochemical sensing patch based on an optical fiber modified by ITO/ZnO/polydopamine/glucose oxidase and printed electrode, enabling close contact with human skin. In this innovative design, the optical fiber to serve both as a light transmission medium and a working electrode, while the printed electrode functions as the counter electrode and reference electrode. The electrode materials were characterized by SEM, EDS, XRD and XPS, and the reaction kinetics of the optical fiber electrode studied through SWV, EIS, and Mott-Schottky analysis. A linear relationship was established between the photocurrent and the logarithm of glucose concentration in the concentration range from 10 μM to 1 mM, with a detection limit of 3.5 μM, and a response time of less than 1 s. In addition, the specificity and stability of the sensing patch were evaluated, and an attempt was made to detect real sweat glucose in situ. This work presents a novel prototype for the development of wearable sensors, with promising applications in biochemical analysis and health monitoring.

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Publication Details

Journal
IEEE Sensors Journal
Published
2025-04-23
DOI
https://doi.org/10.1109/jsen.2025.3561324
Citations
2
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
3.27

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article

Optical Fiber Integrated Photoelectrochemical Sensing Patch: Toward Noninvasive Blood Glucose Detection

Adam Jones, Xinghua Yang, Xingyue Wen, Pingping Teng et al.
2 citations
IEEE Sensors Journal
Spectroscopy Techniques in Biomedical and Chemical Research
3.27
article

Optical Fiber Integrated Photoelectrochemical Sensing Patch: Toward Noninvasive Blood Glucose Detection

Adam Jones, Xinghua Yang, Xingyue Wen, Pingping Teng, Sivagunalan Sivanathan, Minghua Ma, Fengjun Tian, Shengjia Wang, Zheng Zhu, Shuai Gao, Bo Zhang, Yang Zhang, Yu Xin Zhang, Kang Cong Li, Zhihai Liu, Zhongxuan Ge
article en
2 citations

Abstract

In recent years, non-invasive blood glucose detection has received increasing attention. Among them, sweat glucose detection is expected to become an alternative to blood glucose detection due to advantages such as its samples easily to obtain. This study was proposed and preliminarily verified a prototype of photoelectrochemical sensing patch based on an optical fiber modified by ITO/ZnO/polydopamine/glucose oxidase and printed electrode, enabling close contact with human skin. In this innovative design, the optical fiber to serve both as a light transmission medium and a working electrode, while the printed electrode functions as the counter electrode and reference electrode. The electrode materials were characterized by SEM, EDS, XRD and XPS, and the reaction kinetics of the optical fiber electrode studied through SWV, EIS, and Mott-Schottky analysis. A linear relationship was established between the photocurrent and the logarithm of glucose concentration in the concentration range from 10 μM to 1 mM, with a detection limit of 3.5 μM, and a response time of less than 1 s. In addition, the specificity and stability of the sensing patch were evaluated, and an attempt was made to detect real sweat glucose in situ. This work presents a novel prototype for the development of wearable sensors, with promising applications in biochemical analysis and health monitoring.

IEEE Sensors JournalVol. 25(11)
University of South Wales (GB), Harbin Engineering University (CN), Harbin Medical University (CN), First Affiliated Hospital of Harbin Medical University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Zero hunger
Openalex Percentile: Top 9%
Spectroscopy Techniques in Biomedical and Chemical Research
3.27
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