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基于表面增强拉曼光谱的个性化医疗的挑战与前景

Challenges and Prospects of Personalized Healthcare Based on Surface-Enhanced Raman Spectroscopy.

作者信息

Li Guoqun, Fan Xingce, Tang Xiao, Zhao Xing, Hao Qi, Li Jiaqi, Qiu Teng

机构信息

Key Laboratory of Quantum Materials and Devices of Ministry of Education, School of Physics, Southeast University, Nanjing 211189, China.

出版信息

Research (Wash D C). 2024 Dec 27;7:0572. doi: 10.34133/research.0572. eCollection 2024.

DOI:10.34133/research.0572
PMID:40771575
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12327435/
Abstract

Personalized healthcare monitoring is a transformative tool for preventing potential risks and enhancing health status, particularly through molecular-level insights. Advances in nanotechnology, smart devices, and artificial intelligence (AI) have revolutionized personalized healthcare, especially in point-of-care testing (POCT), enabling early detection and timely intervention. Recently, surface-enhanced Raman spectroscopy (SERS) technology, particularly with flexible chips, has shown immense promise in this field due to its in situ, rapid, specific, and efficient detection capabilities. In this review, we highlight recent advancements in flexible SERS chips for personalized healthcare monitoring, demonstrating their effectiveness in target sampling and detection. Importantly, we provide a comprehensive overview of potential applications of flexible SERS chips in personalized healthcare, address current challenges, and propose future development directions. We also explore the future development of miniaturized Raman devices to broaden their applications in personalized healthcare monitoring. Additionally, we underscore the important role of AI in enhancing data processing and analysis. Our aim is to offer a thorough guide on integrating SERS into personalized healthcare monitoring, promising a new era of health management.

摘要

个性化医疗监测是预防潜在风险和改善健康状况的一种变革性工具,尤其是通过分子层面的洞察。纳米技术、智能设备和人工智能(AI)的进步彻底改变了个性化医疗,特别是在即时检测(POCT)方面,实现了早期检测和及时干预。最近,表面增强拉曼光谱(SERS)技术,特别是带有柔性芯片的SERS技术,因其原位、快速、特异和高效的检测能力,在该领域展现出巨大潜力。在本综述中,我们重点介绍了用于个性化医疗监测的柔性SERS芯片的最新进展,展示了它们在目标采样和检测中的有效性。重要的是,我们全面概述了柔性SERS芯片在个性化医疗中的潜在应用,探讨了当前面临的挑战,并提出了未来的发展方向。我们还探索了小型化拉曼设备的未来发展,以拓宽其在个性化医疗监测中的应用。此外,我们强调了AI在增强数据处理和分析方面的重要作用。我们的目的是提供一份将SERS集成到个性化医疗监测中的全面指南,开启健康管理的新时代。

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本文引用的文献

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Machine learning assisted dual-modal SERS detection for circulating tumor cells.机器学习辅助双模态 SERS 检测循环肿瘤细胞。
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3
Wearable Hydrogel SERS Chip Utilizing Plasmonic Trimers for Uric Acid Analysis in Sweat.用于汗液中尿酸分析的基于等离子体三聚体的可穿戴水凝胶 SERS 芯片。
Nano Lett. 2024 Oct 23;24(42):13447-13454. doi: 10.1021/acs.nanolett.4c04267. Epub 2024 Oct 11.
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Inkjet Printing Patterned Plasmonic SERS Platform with Surface-Optimized Paper for Label-Free Detection of Illegal Drugs in Urine.喷墨打印图案化等离子体 SERS 平台与表面优化的纸张结合,用于尿液中非法药物的无标记检测。
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