Abstract:
:This paper describes and discusses the application of trimethylsilyl (TMS)-4,4'-desmethylsterols derivatives chromatographic fingerprints (obtained from an off-line HPLC-GC-FID system) for the quantification of extra virgin olive oil in commercial vinaigrettes, dressing salad and in-house reference materials (i-HRM) using two different Partial Least Square-Regression (PLS-R) multivariate quantification methods. Different data pre-processing strategies were carried out being the whole one: (i) internal normalization; (ii) sampling based on The Nyquist Theorem; (iii) internal correlation optimized shifting, icoshift; (iv) baseline correction (v) mean centering and (vi) selecting zones. The first model corresponds to a matrix of dimensions 'n×911' variables and the second one to a matrix of dimensions 'n×431' variables. It has to be highlighted that the proposed two PLS-R models allow the quantification of extra virgin olive oil in binary blends, foodstuffs, etc., when the provided percentage is greater than 25%.
journal_name
Food Chemjournal_title
Food chemistryauthors
Pérez-Castaño E,Sánchez-Viñas M,Gázquez-Evangelista D,Bagur-González MGdoi
10.1016/j.foodchem.2017.07.069subject
Has Abstractpub_date
2018-01-15 00:00:00pages
1192-1199eissn
0308-8146issn
1873-7072pii
S0308-8146(17)31222-0journal_volume
239pub_type
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