UKF Centre for Advanced Research and Skill Development(UCARS), UKF College of Engineering and Technology, Kollam, Kerala, India, 691 302.
Queensland Micro and Nanotechnology Centre, Griffith University, 170 Kessels Road, Nathan, 4111, Queensland, Australia.
Lab Chip. 2024 Mar 26;24(7):1833-1866. doi: 10.1039/d4lc00089g.
Wearable devices are gaining popularity in the fields of health monitoring, diagnosis, and drug delivery. Recent advances in wearable technology have enabled real-time analysis of biofluids such as sweat, interstitial fluid, tears, saliva, wound fluid, and urine. The integration of microfluidics and emerging smart technologies, such as artificial intelligence (AI), machine learning (ML), and Internet of Things (IoT), into wearable devices offers great potential for accurate and non-invasive monitoring and diagnosis. This paper provides an overview of current trends and developments in microfluidics and smart technologies in wearable devices for analyzing body fluids. The paper discusses common microfluidic technologies in wearable devices and the challenges associated with analyzing each type of biofluid. The paper emphasizes the importance of combining smart technologies with microfluidics in wearable devices, and how they can aid diagnosis and therapy. Finally, the paper covers recent applications, trends, and future developments in the context of intelligent microfluidic wearable devices.
可穿戴设备在健康监测、诊断和药物输送等领域越来越受欢迎。可穿戴技术的最新进展使得实时分析汗液、间质液、眼泪、唾液、伤口液和尿液等生物流体成为可能。微流控技术与新兴智能技术(如人工智能 (AI)、机器学习 (ML) 和物联网 (IoT))的集成,为准确和非侵入性监测和诊断提供了巨大的潜力。本文概述了用于分析体液的可穿戴设备中微流控和智能技术的当前趋势和发展。本文讨论了可穿戴设备中常见的微流控技术以及分析每种类型生物流体所面临的挑战。本文强调了在可穿戴设备中结合智能技术和微流控的重要性,以及它们如何有助于诊断和治疗。最后,本文涵盖了智能微流控可穿戴设备背景下的最新应用、趋势和未来发展。