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dc.creatorHollung, Kristin
dc.creatorOverland, Margareth
dc.creatorHrustić, Milica
dc.creatorSekulić, Petar
dc.creatorMiladinović, Jegor
dc.creatorMartens, Harald
dc.creatorNarum, Bjorg
dc.creatorSahlstrom, Stefan
dc.creatorSorensen, Mette
dc.creatorStorebakken, Trond
dc.creatorSkrede, Anders
dc.date.accessioned2021-04-26T18:04:35Z
dc.date.available2021-04-26T18:04:35Z
dc.date.issued2005
dc.identifier.issn0021-8561
dc.identifier.urihttp://fiver.ifvcns.rs/handle/123456789/289
dc.description.abstractA total of 832 samples of soybeans were screened by near-infrared (NIR) reflectance spectroscopy, to identify soybean samples with a lower content of oligosaccharides and nonstarch polysaccharides (NSP). Of these, 38 samples were identified on the basis of variation in protein content and agronomic value and submitted to high-resolution NIR spectroscopy. On the basis of the NIR data, 12 samples were further selected for chromatographic characterization of carbohydrate composition (mono-, di-, and oligosaccharides and NSP). Their soluble proteins were separated by two-dimensional gel electrophoresis (2DE). Using partial least-squares regression (PLSR), it was possible to predict the content of total NSP from the high-resolution NIR spectra, suggesting that NIR is a suitable and rapid nondestructive method to determine carbohydrate composition in soybeans. The 2DE analyses showed varying intensities of several proteins, including the glycinin G1 precursor. PLSR analysis showed a negative correlation between this protein and insoluble NSP and total uronic acid (UA).en
dc.publisherAmer Chemical Soc, Washington
dc.rightsrestrictedAccess
dc.sourceJournal of Agricultural & Food Chemistry
dc.subjectnear-infrared spectroscopyen
dc.subjectsoybeanen
dc.subjectGlycine maxen
dc.subjectcarbohydrate compositionen
dc.subjectproteomicsen
dc.subjectnonstarch polysaccharidesen
dc.titleEvaluation of nonstarch polysaccharides and oligosaccharide content of different soybean varieties (Glycine max) by near-infrared spectroscopy and proteomicsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage9121
dc.citation.issue23
dc.citation.other53(23): 9112-9121
dc.citation.rankaM21
dc.citation.spage9112
dc.citation.volume53
dc.identifier.doi10.1021/jf051438r
dc.identifier.pmid16277410
dc.identifier.scopus2-s2.0-28444476301
dc.identifier.wos000233306700035
dc.type.versionpublishedVersion


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