首页 | 本学科首页   官方微博 | 高级检索  
     


Chemometrical classification of pumpkin seed oils using UV-Vis, NIR and FTIR spectra
Authors:Lankmayr Ernst  Mocak Jan  Serdt Katja  Balla Branko  Wenzl Thomas  Bandoniene Donata  Gfrerer Marion  Wagner Siegfried
Affiliation:Institute for Analytical Chemistry, University of Technology Graz, A-8010 Graz, Austria. lankmayr@analytchem.tugraz.at
Abstract: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.
Keywords:
本文献已被 PubMed 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号