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用于表面增强拉曼光谱分析的固体基底的最新进展。

Recent Progress on Solid Substrates for Surface-Enhanced Raman Spectroscopy Analysis.

机构信息

School of Chemistry, Sun Yat-sen University, Guangzhou 510006, China.

出版信息

Biosensors (Basel). 2022 Oct 30;12(11):941. doi: 10.3390/bios12110941.

Abstract

Surface-enhanced Raman spectroscopy (SERS) is a powerful vibrational spectroscopy technique with distinguished features of non-destructivity, ultra-sensitivity, rapidity, and fingerprint characteristics for analysis and sensors. The SERS signals are mainly dependent on the engineering of high-quality substrates. Recently, solid SERS substrates with diverse forms have been attracting increasing attention due to their promising features, including dense hot spot, high stability, controllable morphology, and convenient portability. Here, we comprehensively review the recent advances made in the field of solid SERS substrates, including their common fabrication methods, basic categories, main features, and representative applications, respectively. Firstly, the main categories of solid SERS substrates, mainly including membrane substrate, self-assembled substrate, chip substrate, magnetic solid substrate, and other solid substrate, are introduced in detail, as well as corresponding construction strategies and main features. Secondly, the typical applications of solid SERS substrates in bio-analysis, food safety analysis, environment analysis, and other analyses are briefly reviewed. Finally, the challenges and perspectives of solid SERS substrates, including analytical performance improvement and largescale production level enhancement, are proposed.

摘要

表面增强拉曼光谱(SERS)是一种强大的振动光谱技术,具有非破坏性、超灵敏性、快速性和指纹特征等特点,可用于分析和传感器。SERS 信号主要依赖于高质量基底的工程设计。最近,由于具有密集热点、高稳定性、可控形态和便携性等有前景的特点,各种形式的固态 SERS 基底吸引了越来越多的关注。在这里,我们全面综述了固态 SERS 基底领域的最新进展,分别介绍了它们的常见制备方法、主要类别、主要特点和代表性应用。首先,详细介绍了固态 SERS 基底的主要类别,主要包括膜基底、自组装基底、芯片基底、磁性固态基底和其他固态基底,以及相应的构建策略和主要特点。其次,简要综述了固态 SERS 基底在生物分析、食品安全分析、环境分析等分析中的典型应用。最后,提出了固态 SERS 基底面临的挑战和展望,包括分析性能的提高和大规模生产水平的提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e49c/9687977/15ad0dea2017/biosensors-12-00941-g001.jpg

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