Rapid metabolic discrimination and prediction of dioscin content from African yam tubers using Fourier transform-infrared spectroscopy combined with multivariate analysis

Food Chemistry
Yong-Kook KwonSuk Weon Kim

Abstract

To determine whether or not FT-IR spectroscopy could be used for taxonomic and metabolic discrimination of African yam lines, tuber samples from African and Asian yam species were subjected to FT-IR. Most remarkable spectral differences between African and Asian yams were found in the 1750-1700 cm(-1) region, polysaccharide (1200-900 cm(-1)) and protein/amide I and II (1700-1500 cm(-1)) regions of FT-IR spectra. A hierarchical dendrogram based on partial least square-discriminant analysis (PLS-DA) of FT-IR data from 7 African yam species show phylogenetic relationship. In addition, the content of dioscin, a steroidal saponin found in yam tuber, was predicted using a PLS regression model with regression coefficient R(2)=0.7208 indicated that prediction model had average accuracy. Thus, considering these results we suggest that FT-IR combined with multivariate analysis could be applied as a novel tool for metabolic evaluation and high-throughput screening of African yam lines with higher content of dioscin.

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Citations

Apr 13, 2015·Journal of Pharmaceutical and Biomedical Analysis·Milena MasulloSonia Piacente
Oct 20, 2015·Critical Reviews in Food Science and Nutrition·Wen-Hao SuDa-Wen Sun
Sep 20, 2020·Foods·Jude E ObidiegwuCynthia A Chilaka
Apr 20, 2018·Environmental Science and Pollution Research International·Meiqing ZhuShangzhong Liu
Sep 13, 2019·BioMed Research International·Longfei YangLufei Wang
Mar 30, 2021·International Journal of Food Science & Technology·Emmanuel Oladeji AlamuFabrice Davrieux

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