基于光纤的柔性可穿戴传感器的设计与应用

IF 5.6 1区化学 Q1 CHEMISTRY, ANALYTICAL

Talanta Pub Date : 2025-07-11 DOI:10.1016/j.talanta.2025.128576

Zefeng Hou , Jianzhang Liu , Yifei Liao , Jingjing Gong , Chengli Li , Miaomiao Li , Huan Liu , Qing Huang

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引用次数: 0

摘要

光纤柔性可穿戴传感器由于其轻便、便携、生物相容性和优异的可拉伸性，被广泛应用于医疗保健、运动训练、智能纺织品和环境监测等领域。这些传感器的特点是它们的高灵敏度，准确性和非侵入性监测能力，擅长检测细微的机械变化，如呼吸频率和肌肉活动。此外，它们在生物相容性和抗电磁干扰方面具有显著的优势。最近的研究主要集中在通过加入聚二甲基硅氧烷、聚甲基丙烯酸甲酯和水凝胶等新型材料来提高光纤传感器的性能和灵活性，从而提高光纤传感器的拉伸性和光学透明度。此外，整合机器学习和物联网（IoT）技术可以优化数据处理，促进对生理参数的实时、精确监测。然而，与传感器集成、稳定性和成本相关的挑战仍然存在。解决这些问题对于使光纤可穿戴传感器成为可靠的临床工具至关重要。本文综述了光纤柔性可穿戴传感器的最新进展，讨论了其工作原理、制造工艺及其在医疗保健、体育和智能纺织品中的应用。它还强调了与传感器设计、能源管理、数据传输和与人工智能集成相关的挑战，并提供了提高传感器性能和扩大其应用范围的建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Design and application of flexible wearable sensors based on optical fibers

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Design and application of flexible wearable sensors based on optical fibers

Optical fiber flexible wearable sensors are extensively utilized in healthcare, sports training, smart textiles, and environmental monitoring, owing to their lightweight, portability, biocompatibility, and excellent stretchability. These sensors are distinguished by their high sensitivity, accuracy, and non-invasive monitoring capabilities, excelling at detecting subtle mechanical changes like respiratory rate and muscle activity. Additionally, they offer significant advantages regarding biocompatibility and resistance to electromagnetic interference. Recent research has concentrated on enhancing the performance and flexibility of optical fiber sensors by incorporating novel materials such as polydimethylsiloxane, polymethyl methacrylate, and hydrogels, which improve their stretchability and optical transparency. Furthermore, integrating machine learning and Internet of Things (IoT) technologies has enabled optimized data processing, facilitating real-time, precise monitoring of physiological parameters. However, challenges related to sensor integration, stability, and cost persist. Addressing these issues is crucial for establishing optical fiber wearable sensors as reliable clinical tools. This paper reviews the latest advancements in optical fiber flexible wearable sensors, discussing their working principles, manufacturing processes, and applications in healthcare, sports, and smart textiles. It also highlights challenges related to sensor design, energy management, data transmission, and integration with artificial intelligence, offering recommendations to improve sensor performance and broaden their application scope.

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来源期刊

Talanta 化学-分析化学

CiteScore

12.30

自引率

4.90%

发文量

861

审稿时长

29 days

期刊介绍： Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.