激光诱导石墨烯基软皮肤电子技术在智能医疗领域的最新进展

Soft science Pub Date : 2024-07-09 DOI:10.20517/ss.2024.20
Zhiqiang Ma, B. L. Khoo
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引用次数: 0

摘要

皮肤是医疗保健管理和疾病诊断的宝贵信息的丰富来源。集成软皮肤电子元件可在皮肤界面精确、及时地捕捉这些线索。这些技术具有设计轻巧、体积小巧、集成度高、生物相容性好和舒适度高的特点,在推动各种应用方面大有可为。然而,大多数现有软皮肤电子器件的制造工艺通常需要昂贵的平台和洁净室环境,这可能会抬高生产成本。近年来,激光诱导石墨烯(LIG)的出现为开发具有成本效益和高性能的软皮肤电子器件提供了一种实用的解决方案。这一进步为智能医疗保健技术的广泛应用铺平了道路。在此,我们全面回顾了近期有关基于 LIG 的智能医疗应用软皮肤电子器件(LIGS2E)的研究。我们首先概述了制备方法、LIG 的基本特性以及开发软皮肤电子器件所采用的标准调节策略。随后,我们概述了各种 LIGS2E 设计及其在智能医疗保健领域的各种应用。这些应用包括生物物理和生物化学传感器、生物执行器和供电系统。最后,我们探讨了在医疗保健领域实际应用 LIGS2E 所面临的潜在挑战,并对未来的研发方向提出了见解。通过阐明 LIGS2E 的能力和局限性,本综述旨在为推动智能医疗保健技术的发展做出贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent advances in laser-induced-graphene-based soft skin electronics for intelligent healthcare
Skin is a rich source of invaluable information for healthcare management and disease diagnostics. The integration of soft skin electronics enables precise and timely capture of these cues at the skin interface. Leveraging attributes such as lightweight design, compact size, high integration, biocompatibility, and enhanced comfort, these technologies hold significant promise for advancing various applications. However, the fabrication process for most existing soft skin electronics typically requires expensive platforms and clean-room environments, potentially inflating production costs. In recent years, the emergence of laser-induced-graphene (LIG) has presented a practical solution for developing soft skin electronics that are both cost-effective and high-performing. This advancement paves the way for the widespread adoption of intelligent healthcare technologies. Here, we comprehensively review recent studies focusing on LIG-based soft skin electronics (LIGS2E) for intelligent healthcare applications. We first outline the preparation methodologies, fundamental properties of LIG, and standard regulation strategies employed in developing soft skin electronics. Subsequently, we present an overview of various LIGS2E designs and their diverse applications in intelligent healthcare. These applications encompass biophysical and biochemical sensors, bio-actuators, and power supply systems. Finally, we deliberate on the potential challenges associated with the practical implementation of LIGS2E in healthcare settings and offer insights into future directions for research and development. By elucidating the capabilities and limitations of LIGS2E, this review aims to contribute to advancing intelligent healthcare technologies.
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