Rapid Analysis of Fructus forsythiae by Near-infrared Spectroscopy

2012 International Conference on Biomedical Engineering and Biotechnology Pub Date : 2012-05-28 DOI:10.1109/ICBEB.2012.326

Xing Wang, Yan Bai, Yan-ling Zhang, Yanjiang Qiao

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引用次数: 2

Abstract

In this paper, Near-infrared spectroscopy (NIRS) was introduced into the field of Chinese herbal medicines and a rapid analytical method which can not only differentiate the two species of Fructus forsythiae, QingQiao (QQ) and LaoQiao (LQ), but also determine the contents of Phillyrin, Forsythoside A and Moisture in Fructus forsythia was established. The total content of volatile oil in Fructus forsythia was used as an important parameter for discrimination of QQ and LQ. Two lignans components, Phillyrin and Forsythoside A were analyzed successively by high-performance liquid chromatography (HPLC). Scattering effect and baseline shift in the NIR spectra were corrected by several pre-processing methods. By using discriminant analysis, a model which can be used to identify the species of Fructus forsythiae was established and samples were separated successfully into two different clusters corresponding to QQ and LQ. Finally, partial least squares (PLS) regression was used to build the correlation model. The results showed that the correlation coefficients of the calibration models are R = 0.959 for the Moisture, R = 0.957 for Phillyrin and R = 0.960 for Forsythoside A. The outcome showed that NIRS can provide a simple and accurate way in the quality control of Chinese herbal medicine (CHM).

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连翘的近红外光谱快速分析

本文将近红外光谱(NIRS)技术引入中草药领域，建立了一种既能区分连翘(QQ)和老翘(LQ)两种连翘的快速分析方法，又能测定连翘中连翘苷、连翘苷a和水分的含量。以连翘挥发油总含量作为判别QQ和LQ的重要参数。采用高效液相色谱法对两种木脂素成分连翘苷和连翘苷A进行了分析。采用多种预处理方法对近红外光谱中的散射效应和基线偏移进行了校正。通过判别分析，建立了连翘种属的鉴别模型，并成功地将样品分为QQ和LQ两个不同的聚类。最后，利用偏最小二乘(PLS)回归建立相关模型。结果表明，各模型的相关系数分别为R = 0.959、R = 0.957和R = 0.960。结果表明，近红外光谱法可为中药材质量控制提供一种简便、准确的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 International Conference on Biomedical Engineering and Biotechnology

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