Authors

Abstract

As a famous Chinese traditional medicine, the Astragalus polysaccharide (APS) market is continually expanding, while the quality of APS cannot be guaranteed. Near-infrared (NIR) spectroscopy has been widely used in the detection of Chinese herbal medicines and traditional Chinese medicine. In this study, NIR spectroscopy was used to identify the adulterants of APS. Prepare adulterated mixtures of APS with 75%, and 50% content, respectively. PLS-DA and SIMCA models were developed for 2-classification of APS, APS mixture (75%+50%), and 3-classification of APS, 75% APS mixture and 50% APS mixture, respectively. In the 2-classification, the correct classification rate of both the calibration set and the test set of the PLS-DA and SIMCA models is 100%. In the 3-classification, the correct classification rates of calibration set and test set for PLS-DA were 97.5% and 96.67%, respectively; the correct classification rates of calibration set and test for SIMCA were 98.33% and 100%, respectively. The study showed that it is feasible to identify adulterated Astragalus polysaccharides using near-infrared spectroscopy.

Abstract in Chinese

黄芪多糖（APS）作为著名的中药，其交易市场越来越大，但其质量却无法保证。近红外光谱已广泛应用于中草药的检测。在这项研究中，近红外光谱被用于鉴别APS的掺杂物。制备含量分别为75%和50%的掺杂APS混合物。PLS-DA和SIMCA模型分别用于APS、APS混合物（75%+50%）的2级分类和APS、75%APS混合物和50%APS混合物的3级分类。在2级分类中，PLS-DA和SIMCA模型的校准集和测试集的正确分类率均为100%。在3级分类中，PLS-DA的校准集和测试集的正确分类率分别为97.5%和96.67%；SIMCA校准集和测试的正确分类率分别为98.33%和100%。研究表明，利用近红外光谱法鉴别掺假黄芪多糖是可行的。