Quantitative Model for Diosgenin in Dioscorea zingiberensis C.H.Wright by NIRS Combined with TQ Software

Abstract:

To determine the Diosgenin in Dioscorea zingiberensis C.H.Wright by near-infraed spectroscopy (NIRS) combined with TQ software. The near-infrared sprectra and HPLC values of the Diosgenin in Dioscorea zingiberensis C.H.Wright from different areas were collected, and the quantitative calibration model was established with TQ software. And then the prediction samples were anylized by the model. The correlation coefficients (R²), the root-mean-square error of calibration (RMSEC) and the root-mean-square error of cross-validation (RMSECV) of the quantitative calibration model for diosgenin were 0.96459, 0.0999 and 0.30041 respectively; the correlation coefficients of prediction (r²) and the root-mean-square error of prediction (RMSEP) were 0.9634 and 0.128. The method is fast, convenient, non-polluted and accurate. The correction model could be used to predict the diosgenin in Dioscorea zingiberensis C.H.Wright.

• Periodical: Advanced Materials Research (Volumes 807-809)
• Pages: 2085-2091
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.807-809.2085
• Online since: September 2013
• Authors: Yan Bai, Hai Yan Gong, Chun Fang Zuo, Jing Wei Lei, Xiao Yan Duan, Cai Xia Xie
• Keywords: Dioscorea zingiberensis C.H. Wright, Diosgenin, NIRS, Quantitative Analysis Model, TQ Software

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