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Discrimination of the Coptis chinensis geographic origins with surface enhanced Raman scattering spectroscopy

机译:用表面增强拉曼散射光谱技术鉴别黄连地理起源

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摘要

In this paper, we have developed a novel method which can identify the geographic origins of the Coptis chinensis using the surface enhanced Raman scattering spectroscopy (SERS) without requiring the strict separation and complex preprocessing. The main characteristic Raman peaks information can be employed to distinguish the Coptis chinensis from different origins. The unsupervised exploratory analysis principal component analysis (PCA) is applied to raw SERS spectra as well as the SEAS spectra treated with the improved asymmetric least squares (IAsLS) baseline correction method. The supervised DPLS model is employed to validate the discrimination of Coptis chinensis origins. The results indicate that the main characteristic Raman peaks information of Coptis chinensis, which is consistent with the liquid chromatography analysis results, is different from their geographic origins. Moreover, PCA and DPLS score plots results further depict SERS spectroscopy can be applied to discriminate the origins of Coptis chinensis. Therefore, SERS spectroscopy is a suitable method for identifying the origins upon the berberine content in Coptis chinensis as well as many other detection applications. (C) 2015 Elsevier B.V. All rights reserved.
机译:在本文中,我们开发了一种新颖的方法,可以使用表面增强拉曼散射光谱(SERS)来识别黄连的地理起源,而无需严格的分离和复杂的预处理。主要特征拉曼峰信息可用于区分不同来源的黄连。无监督探索性分析主成分分析(PCA)适用于原始SERS光谱以及采用改进的不对称最小二乘(IAsLS)基线校正方法处理的SEAS光谱。监督DPLS模型用于验证对黄连起源的区分。结果表明,与液相色谱分析结果一致的黄连主要特征拉曼峰信息与地理来源不同。此外,PCA和DPLS评分图结果进一步描述了SERS光谱可用于区分黄连的起源。因此,SERS光谱法是一种基于黄连中黄连素含量以及许多其他检测应用程序来鉴定来源的合适方法。 (C)2015 Elsevier B.V.保留所有权利。

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