用于实时监测糖尿病及相关并发症的可穿戴电化学传感器

Soft science Pub Date : 2024-04-23 DOI:10.20517/ss.2024.02
Han Hee Jung, Hyeokjun Lee, Junwoo Yea, Kyung-In Jang
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引用次数: 0

摘要

这篇综述强调了可穿戴电化学传感器在主动管理和预防糖尿病(DM)及其相关并发症方面发挥的关键作用。认识到糖尿病对个人的重大影响以及制定有效监测策略的紧迫性,可穿戴传感器已成为一种实用的解决方案。这些传感器可以利用技术进步带来的微创技术,从汗液、泪液、唾液和组织间液(ISF)等生物流体中检测分析信号。这些传感器与智能手机等计算平台的无缝集成提高了其日常使用的实用性。本综述系统地探讨了用于监测生物流体中分析物的各种方法,包括酶和非酶原理。这些基本原理被细致地应用到可穿戴设备中,提供了满足单个分析物检测或同步多重分析物检测的护理点解决方案。无线系统的集成和机器学习算法的加入使这些传感器的功能更加复杂,从而提高了对糖尿病及其并发症进行细致监测的能力。通过对这些进展的深入分析,本综述介绍了可穿戴电化学传感器作为实时监测和管理 DM 的重要工具所具有的巨大潜力。所介绍的各种方法强调了这些传感器在应对 DM 及其相关并发症所固有的多方面挑战方面的适应性、多功能性和固有功效。
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Wearable electrochemical sensors for real-time monitoring in diabetes mellitus and associated complications
This comprehensive review underscores the pivotal role wearable electrochemical sensors play in the proactive management and prevention of diabetes mellitus (DM) and its associated complications. Acknowledging the substantial impact of DM on individuals and the urgency for effective monitoring strategies, wearable sensors have emerged as a pragmatic solution. These sensors can detect analytical signals from biofluids, including sweat, tears, saliva, and interstitial fluid (ISF), employing minimally invasive techniques facilitated by technological advancements. The seamless integration of these sensors with computational platforms such as smartphones enhances their practicality for routine use. The review systematically explores diverse methodologies, encompassing both enzymatic and non-enzymatic principles, employed for the surveillance of analytes within biofluids. These foundational principles are meticulously applied to wearable devices, affording point-of-care solutions catering to the detection of individual analytes or simultaneous multiplexed analyte detection. The integration of wireless systems and the incorporation of machine learning algorithms introduce a layer of sophistication, elevating the capability of these sensors for the nuanced monitoring of DM and its complications. Through an in-depth analysis of these advancements, this review describes the significant potential of wearable electrochemical sensors as an essential tool for real-time monitoring and managing DM. The diverse approaches presented underscore the adaptability, versatility, and inherent efficacy of these sensors in addressing the multifaceted challenges intrinsic to DM and its associated complications within academic discourse.
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