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Publisert 2005

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Publikasjonsdetaljer

Tidsskrift : Journal of Agricultural and Food Chemistry , vol. 53 , p. 9112–9121–10 , 2005

Utgiver : American Chemical Society (ACS)

Internasjonale standardnummer :
Trykt : 0021-8561
Elektronisk : 1520-5118

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Hollung, Kristin; Øverland, Margareth; HRUSTIC, MILICA; SEKULIC, PETAR; MILADINOVIC, JEGOR; Martens, Harald; Narum, Bjørg; Sahlstrøm, Stefan; Sørensen, Mette; Storebakken, Trond; Skrede, Anders

Sak : 23

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Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no

Sammendrag

A total of 832 samples of soybeans were screened by near-infrared (NIR) reflectance spectroscopy, to identify soybean samples with lower content of oligosaccharides and non-starch polysaccharides (NSP). Of these, 38 samples were identified based on variation in protein content and agronomic value, and submitted to high-resolution NIR spectroscopy. Based primarily on the NIR data, twelve samples were further selected for chromatographic characterization of carbohydrate composition (mono-, di- and oligosaccharides and NSP). Their soluble proteins were separated by 2-dimensional gel electrophoresis (2DE). Using partial least square 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 non-destructive method to determine carbohydrate composition in soybeans. The 2DE analyses showed varying intensities of several proteins, including glycinin G1 precursor. PLSR analysis showed a negative correlation between this protein and insoluble NSP and total uronic acid (UA).

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