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A practical approach to quantitative analytical surface-enhanced Raman spectroscopy  ( EI收录)  

文献类型:期刊文献

英文题名:A practical approach to quantitative analytical surface-enhanced Raman spectroscopy

作者:Xu, Yikai[1]; Aljuhani, Wafaa[2]; Zhang, Yingrui[2]; Ye, Ziwei[1]; Li, Chunchun[2,3]; Bell, Steven E. J.[2]

机构:[1] Key Laboratory for Advanced Materials, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, School of Chemistry and Molecular Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China; [2] School of Chemistry and Chemical Engineering, Queen's University Belfast, Belfast, BT9 5AG, United Kingdom; [3] Institute of Photochemistry and Photofunctional Materials, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai, 200093, China

年份:2024

卷号:54

期号:1

起止页码:62

外文期刊名:Chemical Society Reviews

收录:EI(收录号:20244817424645)

语种:英文

摘要:Many of the features of SERS, such as its high sensitivity, molecular specificity and speed of analysis make it attractive as an analytical technique. However, SERS currently remains a specialist technique which has not yet entered the mainstream of analytical chemistry. Therefore, this review draws out the underlying principles for analytical SERS and provides practical tips and tricks for SERS quantitation. The aim is to show the readers how to rationally design their SERS experiments to improve quantitation performance. We begin by introducing the three core components in SERS analysis: (1) the enhancing substrate material, (2) the Raman instrument and (3) the processed data that is used to establish a calibration curve. This is followed by discussion of the analytical figures of merit relevant to SERS. In the following sections each of the three essential components in SERS quantitation and how they affect the quality of the analysis are described in more detail using examples from the literature. Finally, we highlight the current challenges in applying SERS to the analysis of complex real-life samples and briefly introduce the state-of-the-art developments on multifunctional substrates, digital SERS and AI-assisted data processing, which will help SERS rise to the challenge of moving out into routine real-world analysis. ? 2025 The Royal Society of Chemistry.

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