论文部分内容阅读
该文建立了同步测定延胡索中盐酸黄连碱、海罂粟碱、脱氢紫堇碱、延胡索乙素和延胡索甲素5种生物碱成分的近红外光谱定量模型。首先采用高效液相色谱结合紫外检测法测定延胡索中上述5种成分的化学值,然后采用傅里叶变换近红外光谱技术并结合偏最小二乘法(PLS)建立、优化模型,采用校正模型的相关系数(r)、校正均方根误差(RMSEC)、内部交叉验证均方根误差(RMSECV)和预测模型的相关系数(r)和预测均方根误差(RMSEP)对校正模型进行评价。所建立的定量校正模型中盐酸黄连碱、海罂粟碱、脱氢紫堇碱、延胡索乙素和延胡索甲素的r分别为0.941 0,0.972 7,0.964 3,0.978 1,0.979 9;RMSEC分别为0.006 7,0.003 5,0.005 9,0.002 8,0.005 9;RMSECV分别为0.015,0.011,0.020,0.010,0.022。预测模型中上述5种成分的相关系数r分别为0.916 6,0.942 9,0.943 6,0.916 7,0.914 5;RMSEP分别为0.009,0.006 6,0.007 5,0.006 9,0.011。该研究所建立的近红外定量模型稳定性较好,预测结果较准确,可望用于延胡索药材中5种主要生物碱成分的同步快速测定。
In this paper, a quantitative model of near-infrared spectroscopy for simultaneous determination of five alkaloids in Coptidis Rhizoma by HPLC was established. Firstly, the chemical values of the above five components in Corydalis yanhusuo were determined by high performance liquid chromatography coupled with ultraviolet detection. Then the Fourier transform near-infrared spectroscopy and partial least squares (PLS) were used to establish and optimize the model, The calibration model was evaluated using the coefficient (r), root mean square error of correction (RMSEC), root mean square error of internal cross validation (RMSECV) and the correlation coefficient (r) and RMSEP of the prediction model. The r values of coptisine, papaverine, dehydratum corydaline, tetrahydropalmatine and fomesauhol in the quantitative calibration model were 0.941 0,0.972 7,0.964 3,0.978 and 1.0979 9 respectively. RMSEC was 0.006 7,0.003 5,0.005 9,0.002 8,0.005 9; RMSECV was 0.015, 0.011, 0.020, 0.010, 0.022, respectively. The correlation coefficients r of the above five components in the prediction model are respectively 0.916 6,0.942 9,0.943 6,0.916 7,0.914 5; RMSEP are respectively 0.009,0.006 6,0.007 5,0.006 9,0.011. The established near-infrared quantitative model has good stability and more accurate prediction results, and is expected to be used for the simultaneous and rapid determination of five major alkaloid constituents in the genus Corydalis.