表面增强拉曼光谱技术在中药分析中的应用OA

The chemical composition of traditional Chinese medicines(TCMs)is complex and is often susceptible to matrix interference.Traditional analytical methods are limited by their insufficient sensitivity,cumbersome sample preparation procedures,and high reliance on expensive equipment,which render them less suitable for the rapid screening and on-site detection of TCMs.Surface-enhanced Raman spectroscopy(SERS),based on the localized surface plasmon resonance effect of noble metal nanostructures,can significantly enhance the signals of trace molecules and provide"fingerprint"identification.It combines the advantages of high sensitivity,strong specificity,rapid and non-destructive analysis,good compatibility with aqueous systems,and easy integration into portable platforms,thereby providing a new technical approach for the quality analysis of complex TCM systems.This review systematically summarized the enhancement mechanisms,methodological features,and data processing strategies of SERS in TCM analyses,focusing on the progress in the identification,inspection,content determination,and holistic characterization of TCMs.Complementary strategies that combine SERS with chromatography,mass spectrometry,and chemometric methods were also discussed,along with their potential for quality monitoring throughout the TCM production process.With the continuous advancement of the SERS substrate preparation technology,establishment of standardized methods,and improvement of spectral databases,SERS was expected to play an increasingly important role in controlling the quality of TCMs.Further integration of this technology with process analytical technologies and artificial intelligence algorithms will provide a powerful tool for realizing whole-chain,real-time,and intelligent quality monitoring of samples ranging from herbal materials to finished preparations,thereby contributing to enhanced TCM quality and the modernization of the TCM industry.