Rapid Analysis of Paeoniae Radix Alba by Near Infrared Spectroscopy

LI Jia-chun; XIAO Wei; SUN Lan; XIA Cui-Ying; WANG Zhen-zhong

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Rapid Analysis of Paeoniae Radix Alba by Near Infrared Spectroscopy

更新时间：2024-01-04

- Rapid Analysis of Paeoniae Radix Alba by Near Infrared Spectroscopy
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 18, Issue 6, Pages: 57-60(2012)
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- Published：2012
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LI Jia-chun, XIAO Wei, SUN Lan, et al. Rapid Analysis of Paeoniae Radix Alba by Near Infrared Spectroscopy[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(6): 57-60.
DOI：

LI Jia-chun, XIAO Wei, SUN Lan, et al. Rapid Analysis of Paeoniae Radix Alba by Near Infrared Spectroscopy[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(6): 57-60. DOI：

摘要

目的: 采用近红外(NIR)光谱技术建立一种快速测定白芍药材芍药苷的方法。方法: 运用HPLC测定样品中芍药苷的含量

运用偏最小二乘(PLS)法建立含量如NIR光谱之间的多元校正模型

对未知样品进行含量预测。结果: 校正集的内部交差验证均方差RMSECV为0.019 7

校正模型中真实值与预测值之间的相关系数(R2)为0.969 6

外部验证均方差(RMSEP)为0.046 1。结论: 近红外漫反射光谱法快速、简便、无损

可用于白芍药材中芍药苷含量的快速检测

对其他药材中指标性成分的测定也有一定的参考价值。

Abstract

Objective: To develop a rapid NIR method for determination of paeoniflorin in paeony root. Method: HPLC was used as a reference method to determine the content of paeoniflorin. Multivariate calibration model based on PLS algorithm was developed to correlate the spectra and the corresponding values determined by the reference method. Result: the RMSECV of the model for paeoniflorin was 0.019 7

the correlation coefficients of the calibration models was 0.969 7

the RMSEP was 0.046 1. Conclusion: The NIR method was rapid

simple

and noninvasive and that is applied to determine the content of paeoniflorin in paeony root. It can offer reference to content determination of other Chinese herbs.

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Related Institution

China Resources Sanjiu Medical & Pharmaceutical Co. Ltd.

Liaoning Province Modern TCM Research and Engineering Laboratory

Liaoning Multi-dimensional Analysis of TCM Technical Innovation Center

College of Pharmacy， Liaoning University of Traditional Chinese Medicine （TCM）

Ganzhou People's Hospital

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