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

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Title
Rapid metabolic discrimination and prediction of dioscin content from African yam tubers using Fourier transform-infrared spectroscopy combined with multivariate analysis
Author(s)
Y K Kwon; Eun-Yee Jie; A Sartie; D J Kim; Jang Ryol Liu; B W Min; Suk Weon Kim
Bibliographic Citation
Food Chemistry, vol. 166, no. C, pp. 389-396
Publication Year
2015
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 R2 = 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.
Keyword
African yam tuberDioscinFourier transform-infrared spectroscopyMultivariate analysisPLS (partial least square) regression
ISSN
0308-8146
Publisher
Elsevier
DOI
http://dx.doi.org/10.1016/j.foodchem.2014.06.035
Type
Article
Appears in Collections:
Jeonbuk Branch Institute > Biological Resource Center > 1. Journal Articles
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