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[近红外光谱法建立延胡索中五种生物碱同步定量模型]

[Establishment of simultaneous quantitative model of five alkaloids from Corydalis Rhizoma by near-infrared spectrometry].

作者信息

Yang Li-xin, Zhang Yong-xin, Feng Wei-hong, Li Chun

出版信息

Zhongguo Zhong Yao Za Zhi. 2015 Oct;40(19):3830-7.

PMID:26975110
Abstract

This paper established a near-infrared spectroscopy quantitative model for simultaneous quantitative analysis of coptisine hydrochloride, dehydrocorydaline, tetrahydropalmatine, corydaline and glaucine in Corydalis Rhizoma. Firstly, the chemical values of the five components in Corydalis Rhizoma were determined by the reversed-phase high performance liquid chromatography (RP-HPLC) with UV detection. Then, the quantitative calibration model was established and optimized by fourier transformation near-infrared spectroscopy (NIRS) combined with partial least square (PLS) regression. The calibration model was evaluated by correlation coefficient (r), the root-mean-square error of calibration (RMSEC) and the root mean square of cross-validation (RMSECV) of the calibration model, as well as the correlation coefficient (r) and the root mean square of prediction (RMSEP) of prediction model. For the quantitative calibration model, the r, RMSEC and RMSECV of coptisine hydrochloride, dehydrocorydaline, tetrahydropalmatine, corydaline and glaucine were 0.941 0, 0.972 7, 0.964 3, 0.978 1, 0.979 9; 0.006 7, 0.003 5, 0.005 9, 0.002 8, 0.005 9; and 0.015, 0.011, 0.020, 0.010 and 0.022, respectively. For the prediction model, the r and RMSEP of the five components were 0.916 6, 0.942 9, 0.943 6, 0.916 7, 0.914 5; and 0.009, 0.006 6, 0.007 5, 0.006 9 and 0.011, respectively. The established near-infrared spectroscopy quantitative model is relatively stable, accurate and reliable for the simultaneous quantitative analysis of the five alkaloids, and is expected to be used for the rapid determination of the five components in crude drug of Corydalis Rhizoma.

摘要

本文建立了一种近红外光谱定量模型,用于同时定量分析延胡索中盐酸小檗碱、去氢紫堇碱、延胡索乙素、紫堇碱和青藤碱。首先,采用反相高效液相色谱(RP-HPLC)结合紫外检测法测定延胡索中5种成分的化学值。然后,通过傅里叶变换近红外光谱(NIRS)结合偏最小二乘(PLS)回归建立并优化定量校准模型。通过校准模型的相关系数(r)、校准均方根误差(RMSEC)和交叉验证均方根(RMSECV)以及预测模型的相关系数(r)和预测均方根(RMSEP)对校准模型进行评估。对于定量校准模型,盐酸小檗碱、去氢紫堇碱、延胡索乙素、紫堇碱和青藤碱的r、RMSEC和RMSECV分别为0.941 0、0.972 7、0.964 3、0.978 1、0.979 9;0.006 7、0.003 5、0.005 9、0.002 8、0.005 9;以及0.015、0.011、0.020、0.010和0.022。对于预测模型,5种成分的r和RMSEP分别为0.916 6、0.942 9、0.943 6、0.916 7、0.914 5;以及0.009、0.006 6、0.007 5、0.006 9和0.011。所建立的近红外光谱定量模型对5种生物碱的同时定量分析相对稳定、准确、可靠,有望用于延胡索药材中5种成分的快速测定。

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