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

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dc.creatorKwon, Y.K.
dc.creatorJie, E.Y.
dc.creatorSartie, A.M.
dc.creatorKim, D.J.
dc.creatorLiu, J.R.
dc.creatorMin, B.W.
dc.creatorKim, S.W.
dc.date2015-01
dc.date2016-05-25T12:00:27Z
dc.date2016-05-25T12:00:27Z
dc.date.accessioned2026-06-27T15:55:16Z
dc.descriptionTo determine whether or not FT-IR spectroscopy could be used for taxonomic and metabolic discriminationof 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) regionsof 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 regressioncoefficient R2 = 0.7208 indicated that prediction model had average accuracy. Thus, considering theseresults we suggest that FT-IR combined with multivariate analysis could be applied as a novel tool formetabolic evaluation and high-throughput screening of African yam lines with higher content of dioscin.
dc.identifierhttps://hdl.handle.net/10568/74478
dc.identifier.urihttp://hdl.handle.net/123456789/117469
dc.languageen
dc.publisherElsevier
dc.rightsLimited Access
dc.sourceKwon, Y.K., Jie, E.Y., Sartie, A., Kim, D.J., Liu, J.R., Min, B.W., & Kim, S.W. (2015). Rapid metabolic discrimination and prediction of dioscin content from African yam tubers using Fourier transform-infrared spectroscopy combined with multivariate analysis. Food Chemistry, 166, 389-396.
dc.subjectyams
dc.subjectmultivariate analysis
dc.titleRapid metabolic discrimination and prediction of dioscin content from African yam tubers using Fourier transforminfrared spectroscopy combined with multivariate analysis
dc.typeJournal Article

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Instituto Internacional de Agricultura Tropical (IITA)