目的 利用近红外光谱技术（near infrared spectroscopy，NIRS）建立三七药材水分和醇溶性浸出物定量分析的快速测定方法。方法 参照《中国药典》2015年版三七水分和醇溶性浸出物含量测定方法对53批药材分别测定水分和醇溶性浸出物含量，采用偏最小二乘法（PLS）分别建立水分和醇溶性浸出物的近红外定量分析模型，并利用内部交叉验证和外部验证的方法对模型进行优化。结果 药材样品中水分和醇溶性浸出物预测最佳波段分别为4 450.32～7 350.01 cm^-1和6 163.92～3 984.71 cm^-1。定量模型校正集相关系数分别为0.997 2和0.962 4，校正均方差分别为0.039 6和0.776 0；验证集的相关系数为0.962 4和0.988 4，验证均方差分别为0.173和0.595。结论 该方法准确、快速、无污染，可用于三七药材中水分和醇溶性浸出物含量的快速测定。

Objective This study aimed at establishing the quantitative model of moisture and ethanol extract content in Panax notoginseng by NIRS. Methods Oven drying method of Chinese Pharmacopoeia 2015 was used to determine the moisture and ethanol extract content of 53 samples. The correlation models of the NIR spectra and the reference values of moisture and ethanol extract content were obtained with partial least square (PLS) method and optimized through inner cross validation and external validation. Results The optimal spectrum range of moisture and ethanol extract were 4 450.32-7 350.01 cm^-1 and 6 163.92-3 984.71 cm^-1. The correlation coefficients of calibration for moisture and ethanol extract were 0.997 2 and 0.962 4,and the root mean square errors of calibration were 0.039 6 and 0.776 0. The correlation coefficients of predication were 0.962 4 and 0.988 4, and the root mean square errors of prediction were 0.173 and 0.595. Conclusion The presented method is accuracy, timesaving and nondestructive, which could be applied for the rapid detection of the moisture and ethanol extract content in Panax notoginseng.

科学技术部国家重大新药创制项目（2013ZX09402202）