近红外光谱技术快速测定丹参药材中水浸出物含量

目的:运用近红外光谱技术和化学计量学方法,对丹参原药材中水浸出物的含量进行快速测定。方法:采用TQ8.0软件结合偏最小二乘法(PLS)建立测定丹参中水浸出物含量的近红外光谱校正模型。结果:采用一阶导数+多元散射校正(MSC)法,建模范围为7 038.39～4 418.78 cm-1,主因子数为6,校正集内部交叉验证决定系数R2=0.984 30,交互验证均方根偏差RMSECV=0.857,11份样品的外部预测均方根偏差RMSEP=0.787。预测值的平均回收率为100.03%。结论:利用近红外光谱技术建立的模型对丹参药材中水浸出物含量的测定是可行的,该方法快速、简便、结果准确,有望在中药体系中有更广泛的应用。

Rapid Determination of Water-Extract Content in Salvia miltiorrhiza by Near-Infrared Spectroscopy

Objective:To determine rapidly the content of water-extract in Salvia miltiorrhiza by near-infrared spectroscopy and the chemometrics method. Method: A calibration model of near-infrared spectroscopy was built up for determination of the content of water-extract in S. miltiorrhiza by partial least squares (PLS) method. Result: The best spectral pretreatment method is MSC, the best spectral collection range is 7 038.39-4 418.78cm^-1,and main fraction is 6,correlation coefficient of calibration cross validation (R²)was 0.984 3,root mean square error of cross validation (RMSECV) was 0.857, and external prediction deviation RMSEP of 11 samples was 0.787.Predicted the average recovery was 100.03%. Conclusion: It was feasible to determine the water-extract content in S. miltiorrhiza. This method is fast and simple with consequence accuracy,which should be applied more extensively in traditional Chinese medicine system.