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基于光学传感器的尿酸检测进展。

Progress in optical sensors-based uric acid detection.

机构信息

Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Hangzhou, 310027, China.

Research Center for Quantum Sensing, Zhejiang Lab, Hangzhou, 310000, China.

出版信息

Biosens Bioelectron. 2023 Oct 1;237:115495. doi: 10.1016/j.bios.2023.115495. Epub 2023 Jul 3.

Abstract

The escalating number of patients affected by various diseases, such as gout, attributed to abnormal uric acid (UA) concentrations in body fluids, has underscored the need for rapid, efficient, highly sensitive, and stable UA detection methods and sensors. Optical sensors have garnered significant attention due to their simplicity, cost-effectiveness, and resistance to electromagnetic interference. Notably, research efforts have been directed towards UA on-site detection, enabling daily monitoring at home and facilitating rapid disease screening in the community. This review aims to systematically categorize and provide detailed descriptions of the notable achievements and emerging technologies in UA optical sensors over the past five years. The review highlights the advantages of each sensor while also identifying their limitations in on-site applications. Furthermore, recent progress in instrumentation and the application of UA on-site detection in body fluids is discussed, along with the existing challenges and prospects for future development. The review serves as an informative resource, offering technical insights and promising directions for future research in the design and application of on-site optical sensors for UA detection.

摘要

不断增加的受各种疾病影响的患者数量,如痛风,归因于体液中尿酸(UA)浓度的异常,这凸显了对快速、高效、高灵敏度和稳定的 UA 检测方法和传感器的需求。由于其简单、经济高效且抗电磁干扰,光学传感器引起了极大的关注。值得注意的是,研究工作已经针对 UA 的现场检测展开,从而能够在家中进行日常监测,并在社区中实现快速疾病筛查。本综述旨在系统地分类并详细描述过去五年中 UA 光学传感器的显著成就和新兴技术。该综述突出了每个传感器的优点,同时也指出了它们在现场应用中的局限性。此外,还讨论了仪器仪表的最新进展以及 UA 在体液中的现场检测应用,以及未来发展的现有挑战和前景。该综述为现场光学传感器用于 UA 检测的设计和应用提供了有价值的技术见解和有前景的研究方向,是一个信息丰富的资源。

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