Detection of Micromolar Glucose Levels in Human Sweat Using an Organic Transistor‐Based Enzymatic Sensor

Author:

Sasaki Yui123ORCID,Ohshiro Kohei1ORCID,Kato Miyuki1,Haba Daijiro45ORCID,Nakagami Gojiro4ORCID,Minami Tsuyoshi1ORCID

Affiliation:

1. Institute of Industrial Science The University of Tokyo 4-6-1, Komaba Meguro-ku, Tokyo 153-8505 Japan

2. Research Center for Advanced Science and Technology The University of Tokyo 4-6-1, Komaba Meguro-ku, Tokyo 153-8904 Japan

3. JST, PRESTO 4-1-8, Honcho Kawaguchi, Saitama 332-0012 Japan

4. Department of Wound Care Management/Gerontological Nursing Graduate School of Medicine The University of Tokyo 7-3-1, Hongo Bunkyo-Ku, Tokyo 113-0033 Japan

5. Current affiliation: Department of Well-being Nursing Graduate School of Nursing Ishikawa Prefectural Nursing University 1-1, Gakuendai Kahoku city, Ishikawa 929-1210 Japan

Abstract

AbstractSweat glucose serves as a significant biomarker of health, necessitating accurate determination at the micromolar level for noninvasive monitoring. To address this need, we design an organic field‐effect transistor (OFET)‐based enzymatic sensor to quantify glucose levels in human sweat. The extended‐gate structure of the OFET device ensures stable analyte detection in human sweat owing to its isolated configuration. The extended‐gate‐type OFET has been functionalized with glucose oxidase and an N‐ethylphenazonium‐based mediator‐attached monolayer. This configuration facilitates electron relay, enabling accurate and reproducible glucose detection. Leveraging the amplification ability of the OFET, the enzymatic sensor exhibited highly sensitive glucose detection, achieving a low limit of detection (2.9 μM) suitable for sweat analysis requirements. In addition, the sensor exhibited high discriminability in detecting glucose amidst interferents commonly found in sweat, indicating its practical feasibility for sweat analysis. Validation of glucose recovery rates (95–105 %) in human sweat, without pretreatment, was performed using established instrumental analysis methods.

Funder

AGC

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3