摘要
目的:利用近红外光谱法快速测定连翘药材中连翘酯苷含量。方法:利用HPLC测定样品中连翘酯苷的含量,运用偏最小二乘(PLS)法建立其含量与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:建立的定量模型准确性好,内部交叉验证均方差(RMSECV)、内部交叉验证决定系数分别为0.221,0.969。经外部验证,NIR预测值与HPLC测定值之间的相关系数为0.961,预测均方差(RMSEP)为0.18。结论:近红外光谱法对连翘中连翘酯苷含量预测结果较好,能满足制药中检测的精度要求,为中药生产过程的在线、无损定量分析提供了依据。
Objective： Determine the content of forsythoside A in fructus forsythiae by combining near-infrared spectroscopy with the chemometrics method. Method： HPLC was used as a reference method to determine the content of forsythoside A in fructus forsythiae. Multivariate calibration model based on PLS algorithm was developed to correlate the spectra and the corresponding values determined by the reference method. Result： RMSECV （ root-mean-square error of cross-validation） of the model for forsythoside A was 0. 221 and the correlation coefficients of the calibration model was 0. 969. External validation with external validation samples proved that the relative coefficient of the predicted value and the HPLC value was 0. 961 and the RMSEP was 0. 18. Conclusion： NIRS can be used in the determination of forsythoside A, which sets up the foundation of product-line control offructus forsythiae.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2009年第16期2071-2075,共5页
China Journal of Chinese Materia Medica
基金
河南省重大公益科研项目(081100912500)
河南省杰出人才计划项目(084200510017)
