• Contact Us
    • Send Feedback
    • Login
    View Item 
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    •   Home
    • Journal and Journal Articles
    • Journal and Journal Articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    Whole Repository
    CollectionsIssue DateRegionCountryHubAffiliationAuthorsTitlesSubject
    This Sub-collection
    Issue DateRegionCountryHubAffiliationAuthorsTitlesSubject

    My Account

    Login

    Welcome to the International Institute of Tropical Agriculture Research Repository

    What would you like to view today?

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

    Thumbnail
    Date
    2015
    Author
    Kwon, Y.K.
    Jie, E.Y.
    Sartie, A.M.
    Kim, D.J.
    Liu, J.R.
    Min, B.W.
    Kim, S.W.
    Type
    Journal Article
    Metadata
    Show full item record
    Abstract/Description
    To 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.
    https://dx.doi.org/10.1016/j.foodchem.2014.06.035
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/935
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1016/j.foodchem.2014.06.035
    IITA Subjects
    Yam
    Agrovoc Terms
    Yams; Multivariate Analysis
    Regions
    Africa South Of Sahara
    Countries
    Nigeria
    Journals
    Food Chemistry
    Collections
    • Journal and Journal Articles4839
    copyright © 2019  IITASpace. All rights reserved.
    IITA | Open Access Repository