@article{
author = "Hollung, Kristin and Overland, Margareth and Hrustić, Milica and Sekulić, Petar and Miladinović, Jegor and Martens, Harald and Narum, Bjorg and Sahlstrom, Stefan and Sorensen, Mette and Storebakken, Trond and Skrede, Anders",
year = "2005",
abstract = "A 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).",
publisher = "Amer Chemical Soc, Washington",
journal = "Journal of Agricultural & Food Chemistry",
title = "Evaluation of nonstarch polysaccharides and oligosaccharide content of different soybean varieties (Glycine max) by near-infrared spectroscopy and proteomics",
pages = "9121-9112",
number = "23",
volume = "53",
doi = "10.1021/jf051438r"
}