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近红外漫反射光谱法测定黄芩中黄芩苷及总黄酮的含量

[Determination of baicalin and total flavonoids in Radix scutellariae by near infrared diffuse reflectance spectroscopy].

作者信息

Huang Qian-qian, Pan Rui-le, Wei Jian-he, Wu Yan-wei, Zhang Lu-da

机构信息

Institute of Medicinal Plant, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2009 Sep;29(9):2425-8.

PMID:19950644
Abstract

The objective of the present study was to develop a method for rapid determination of baicalin and total flavonoids in radix scutellariae by near infrared diffuse reflectance spectroscopy. Sixty one samples of radix scutellariae from different areas containing baicalin of 12.24%-21.34% and total flavonoids of 16.08%-26.52% were used. The range of 8000-4000 cm(-1) of near infrared spectra (NIRS) was selected. Calibration models were established using the PLS(partial least squares). Different spectra pretreatment methods were compared and the optimal model was selected. The study showed that first derivative pretreatments and minimum-maximum normalization methods can be used to extracted spectra information thoroughly to analyze the contents of baicalin and total flavonoids, respectively. The correlation coefficient (r) of baicalin was 0.9024, SEC was 1.01 (standard deviation of the calibration sets) and SEP was 0.8764 (standarddeviation ofthe prediction sets). The correlation coefficient(r) of total flavonoids was 0.9527, SEC was 0.7850 and SEP was 0.5211. Results indicated that near infrared diffuse reflectance spectroscopy method can be used to analyze the main active components in radix scutellariae rapidly.

摘要

本研究的目的是建立一种利用近红外漫反射光谱快速测定黄芩中黄芩苷和总黄酮含量的方法。使用了61份来自不同地区的黄芩样品,其黄芩苷含量为12.24%-21.34%,总黄酮含量为16.08%-26.52%。选择了近红外光谱(NIRS)8000-4000 cm(-1) 的范围。采用偏最小二乘法(PLS)建立校准模型。比较了不同的光谱预处理方法并选择了最佳模型。研究表明,一阶导数预处理和最小-最大归一化方法可分别用于充分提取光谱信息以分析黄芩苷和总黄酮的含量。黄芩苷的相关系数(r)为0.9024,SEC为1.01(校准集的标准偏差),SEP为0.8764(预测集的标准偏差)。总黄酮的相关系数(r)为0.9527,SEC为0.7850,SEP为0.5211。结果表明,近红外漫反射光谱法可用于快速分析黄芩中的主要活性成分。

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