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.

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