Chemometrical classification of pumpkin seed oils using UV–Vis, NIR and FTIR spectra
| Autor: | Ernst Lankmayr, Thomas Wenzl, Jan Mocak, Katja Serdt, Donata Bandoniene, Siegfried Wagner, Branko Balla, Marion Gfrerer |
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| Rok vydání: | 2004 |
| Předmět: |
Pumpkin seed
business.industry Spectrum Analysis Biophysics Biochemistry food.food Pattern Recognition Automated Biotechnology Ftir spectra food Cucurbita Multivariate Analysis Seeds Edible oil Combinatorial Chemistry Techniques Plant Oils Nir spectra Food science business Algorithms Food Analysis Pumpkin Seed Oil Mathematics |
| Zdroj: | Journal of Biochemical and Biophysical Methods. 61:95-106 |
| ISSN: | 0165-022X |
| DOI: | 10.1016/j.jbbm.2004.04.007 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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