目的 采用近红外光谱法对浙麦冬中麦冬总皂苷含量进行快速测定。方法利用紫外分光光度法测定样品中麦冬总皂苷的含量，运用偏最小二乘(PLS)法建立其含量与近红外光谱(NIR)之间的多元校正模型，对未知样品进行含量预测。结果建立的麦冬总皂苷校正模型相关系数(R)、校正均方差(RMSEC)分别为0.99031， 0.0235。经外部验证，校正模型的预测均方差(RMSEP)为0.0361，预测值与真实值的相关系数达0.9957。结论此方法具有快速简便，准确无损的特点，可以应用于浙麦冬中麦冬总皂苷含量的快速检测。

Objective To develop a nearinfrared quantitative method for the rapid determination of total saponins of Radix Ophiopogonis from Zhejiang Province. Methods Ultraviolet spectrophotometry was used as a reference method to determine the content of total saponins of Radix Ophiopogonis from Zhejiang Province. Multivariate calibration model based on partial least square(PLS)algorithm was developed to correct the spectra and the corresponding values determined by the reference method. Results The correlation coefficient(R)and the root-mean-square error of calibration(RMSEC)of the calibration model for total saponins were 0. 99031 and 0.0235，respectively. The root-mean-square error of prediction(R-MSEP)was 0.0361 after external calibration，and the correlation coefficient of the determined value and predicted value was 0.9957. Conclusion The method is fast，convenient，accurate and lossless，and the corrected model is suitable for rapidly predicting the total saponins of Radix Ophiopogonis from Zhejiang Province.

R284.1

卫生部科学研究基金(WKJ2010-2-019)；浙江省中医药科学研究基金计划(2012ZB032)。