Classification of wheat varieties: use of two-dimensional gel electrophoresis for varieties that can not be classified by matrix assisted laser desorpiton/ionization-time of flight-mass spectrometry and an artificial neural network.
Analyzing a gliadin extract by matrix assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS) combined with an artificial neural network (ANN) is a suitable method for identification of wheat varieties. However, the ANN can not distinguish between all different wheat varieties. Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) was applied to three pairs of wheat varieties, which can not be classified correctly by ANN. By 2-D PAGE the varieties in the three pairs can be discriminated and these six wheat varieties can be separated from each other, which could not be separated by MALDI-TOF-MS and NN.
Jacobsen
S
S
BioCentrum-DTU, Biochemistry and Nutrition, Søltofts Plads, Technical University of Denmark, Lyngby. susanne.jacobsen@biocentrum.dtu.dk
Nesić
L
L
Petersen
M
M
Søndergaard
I
I
D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods; D005903:Gliadin / Q000032:analysis*; D016571:Neural Networks, Computer; D010936:Plant Extracts; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods; D014908:Triticum / Q000737:chemistry / Q000145:classification*
D010936:Plant Extracts; D005903:Gliadin