Evaluation of nonstarch polysaccharides and oligosaccharide content of different soybean varieties (Glycine max) by near-infrared spectroscopy and proteomics.
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).
Hollung
Kristin
K
Matforsk, The Norwegian Food Research Institute, Osloveien 1, N-1430 As, Norway. kristin.hollung@matforsk.no
Øverland
Margareth
M
Hrustić
Milica
M
Sekulić
Petar
P
Miladinović
Jegor
J
Martens
Harald
H
Narum
Bjørg
B
Sahlstrøm
Stefan
S
Sørensen
Mette
M
Storebakken
Trond
T
Skrede
Anders
A
D009844:Oligosaccharides / Q000032:analysis*; D011134:Polysaccharides / Q000032:analysis*; D040901:Proteomics; D013025:Glycine max / Q000737:chemistry* / Q000145:classification*; D019265:Spectroscopy, Near-Infrared
D009844:Oligosaccharides; D011134:Polysaccharides