Determination of Total Steroid Saponins in Different Species of Paris Using FTIR Combined with Chemometrics

文献类型： 外文期刊

第一作者： Yang, Yuangui

作者： Yang, Yuangui;Jin, Hang;Zhang, Jinyu;Wang, Yuanzhong

作者机构：

期刊名称：JOURNAL OF AOAC INTERNATIONAL （ 影响因子：1.913； 五年影响因子：1.754 ）

ISSN： 1060-3271

年卷期： 2018 年 101 卷 3 期

页码：

收录情况： SCI

摘要： The saponins of Paris spp. have antimicrobial, immune-stimulating, and antitumor biological properties. In this investigation, FTIR and ultra-HPLC (UHPLC) were used for the determination of total steroid saponins in different species of Paris from Yunnan Province, China. A 52-sample calibration set and a 26-sample validation set for partial least-squares regression (PLSR) and support vector machine regression (SVMR) combined with FTIR and UHPLC were investigated. The optimal parameters C and gamma were screened by a grid search with a sevenfold cross-validation. The results indicate that pretreatment with the combination of standard normal variate, second derivative, and orthogonal signal correction had the best performance. When comparing the SVMR and PLSR models, linear PLSR had better performance than nonlinear SVMR for the determination of total steroid saponins in different species of Paris. The highest total saponin content was found in P. axialis from Baoshan City (40.92 +/- 9.06 mg/g). These results demonstrate that this approach would provide a fast and robust strategy for the QC of Paris in further analyses.

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