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作 者:赖秀娣 林晓菁 龚雪 姬生国 王东 LAI Xiudi;LIN Xiaojing;GONG Xue;JI Shengguo;WANG Dong(Guangdong Pharmaceutical University~South of the Five Ridges Key Lab.of Medicinal Materials Production and Development Guangzhou 510006)
机构地区:[1]广东药科大学中药学院/岭南药材生产与开发重点研究室,广东广州510006
出 处:《中国医药工业杂志》2018年第9期1300-1305,共6页Chinese Journal of Pharmaceuticals
基 金:广东省科技计划项目(2009B030801044)
摘 要:运用近红外光谱(NIRS)分析技术和化学计量学方法,建立了NIRS定量分析模型测定穿心莲中的穿心莲内酯。采用HPLC法测定144批穿心莲药材中穿心莲内酯的含量,作为参考值。选择其中的117批样品作为校正集,采集其NIRS数据,结合偏最小二乘法(PLS),建立了穿心莲中穿心莲内酯含量的NIRS定量分析模型。所建模型的内部交叉验证决定系数(R^2)、校正均方差(RMSEP)、预测均方差(RMSEC)及内部交叉验证均方差(RMSECV)分别为0.962 7、0.211、0.247和0.605 2。27批验证集样品的平均回收率为100.14%。所建模型可用于穿心莲中的穿心莲内酯含量的快速测定,适用于以穿心莲为原料的中药生产加工过程中的质量控制。The potential of near infrared spectroscopy(NIRS) in quality control of traditional Chinese medicine has been evaluated. Here we developed a rapid and non-destructive quantitative analysis model of andrographolide regarding the 144 batches of Andrographis paniculata by NIRS. The andrographolide contents of the Andrographis paniculata extracts were determined by HPLC and were taken as the reference values. Among them, 117 batches of samples were selected as the calibration set. The predicted values were determined by the established NIRS quantitative analysis model based on partial least squares(PLS) regression. The correlation coefficients(R^2), the root-mean-square error of calibration(RMSEC), the root-mean-square error of predication(RMSEP) and the internal cross validation variance(RMSECV) of the calibration model were 0.962 7, 0.211, 0.247 and 0.605 2, respectively. The average recovery of 27 batches of samples(the validation set) was 100.14%. The calibration model can be used in the rapid quantitation of andrographolide in Andrographis paniculata and this method is fit for the on-line monitoring of production and processing of Chinese medicines using Andrographis paniculata as the raw material.
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