Chemometrical classification of pumpkin seed oils using UV-Vis, NIR and FTIR spectra.
The main outcome of this work is elaboration of classification models for edible oil samples representing the most widespread brands of Austrian pumpkin seed oil. A complete spectral characterisation of the pumpkin seed oil samples by UV-Vis, NIR and FTIR spectra was obtained together with their basic sensorial classification. Chemometrical processing of the measured data enabled the detection of the most important spectral features, which are crucial for categorising the oils into two or three classes according to their sensory quality evaluated by a panel of experts. The elaborated models thus make it possible to predict the category into which a hitherto unclassified oil sample belongs--considering classification into either two categories, containing oils with overall acceptable scores or oils that were not accepted, or three categories, involving oils fulfilling all quality criteria, oils with good scores and not accepted oils. This will perspectively facilitate the determination of chemical substances responsible for bad taste, odour and colour of the respective oil brands, as well as finding substances contributing to the excellent sensorial perception of some tested products.
Lankmayr
Ernst
E
Institute for Analytical Chemistry, University of Technology Graz, A-8010 Graz, Austria. lankmayr@analytchem.tugraz.at
Mocak
Jan
J
Serdt
Katja
K
Balla
Branko
B
Wenzl
Thomas
T
Bandoniene
Donata
D
Gfrerer
Marion
M
Wagner
Siegfried
S
D000465:Algorithms; D020650:Combinatorial Chemistry Techniques / Q000379:methods; D028464:Cucurbita / Q000737:chemistry*; D005504:Food Analysis / Q000379:methods* / Q000592:standards; D015999:Multivariate Analysis; D010363:Pattern Recognition, Automated / Q000379:methods; D010938:Plant Oils / Q000032:analysis* / Q000145:classification* / Q000592:standards; D012639:Seeds / Q000737:chemistry* / Q000145:classification; D013057:Spectrum Analysis / Q000379:methods*
D010938:Plant Oils