Suppr超能文献

可穿戴汗液传感器开发的最新进展

Recent Advances in Wearable Sweat Sensor Development.

作者信息

Zhang Tao, Kabandana Giraso Keza Monia, Terrell John A, Chen Hui, Chen Chengpeng

机构信息

Department of Chemistry and Biochemistry, University of Maryland Baltimore County, Baltimore, Maryland, USA.

Department of Chemical, Biochemical and Environmental Engineering, University of Maryland Baltimore County, Baltimore, Maryland, USA.

出版信息

Wiley Interdiscip Rev Nanomed Nanobiotechnol. 2025 Jan-Feb;17(1):e70006. doi: 10.1002/wnan.70006.

Abstract

Wearable sweat sensors for detecting biochemical markers have emerged as a transformative research area, with the potential to revolutionize disease diagnosis and human health monitoring. Since 2016, a substantial body of pioneering and translational work on sweat biochemical sensors has been reported. This review aims to provide a comprehensive summary of the current state-of-the-art in the field, offering insights and perspectives on future developments. The focus is on wearable microfluidic platforms for sweat collection and delivery and the analytical chemistry applicable to wearable devices. Various microfluidic technologies, including those based on synthetic polymers, paper, textiles, and hydrogels, are discussed alongside diverse detection methods such as electrochemistry and colorimetry. Both the advantages and current limitations of these technologies are critically examined. The review concludes with our perspectives on the future of wearable sweat sensors, with the goal of inspiring new ideas, innovations, and technical advancements to further the development and practical application of these devices in promoting human health.

摘要

用于检测生化标志物的可穿戴汗液传感器已成为一个变革性的研究领域,有潜力彻底改变疾病诊断和人类健康监测。自2016年以来,已经报道了大量关于汗液生化传感器的开创性和转化性工作。本综述旨在全面总结该领域的当前技术水平,为未来发展提供见解和观点。重点是用于汗液收集和输送的可穿戴微流控平台以及适用于可穿戴设备的分析化学。讨论了各种微流控技术,包括基于合成聚合物、纸张、纺织品和水凝胶的技术,以及电化学和比色法等多种检测方法。对这些技术的优点和当前局限性进行了批判性审视。综述最后阐述了我们对可穿戴汗液传感器未来的看法,目的是激发新思想、创新和技术进步,以推动这些设备在促进人类健康方面的进一步发展和实际应用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验