Mourad Kharbach, Huiwen Yu, Rabie Kamal, Ilias Marmouzi, Katim Alaoui, Joeri Vercammen, Abdelaziz Bouklouze, Yvan Vander Heyden
Food chemistry 2022 Jul 30Recognized for its nutritional and therapeutic use, extra-virgin Argan Oil (EVAO) is frequently adulterated. Selected-Ion Flow-Tube Mass Spectrometry (SIFT-MS) spectra were applied to quantify adulterants (i.e., Argan oil of lower quality (LQAO), olive oil (OO), and sunflower oil (SO)) in EVAO. Four data sets, i.e., using H3O+, NO+, O2+ reagent ions, and the combined data were considered. Soft independent modelling of class analogy (SIMCA), and partial least squares discriminant analysis (PLS-DA) were assessed to distinguish adulterated- from pure EVAO. The effectiveness of SIFT-MS associated with PLS and support vector machine (SVM) regression to quantify trace adulterants in EVAO was evaluated. Variable Importance in Projection (VIP), and interval-PLS (iPLS) were also investigated to extract useful features. Different models were built to predict the EVAO authenticity and the degree of adulteration. High accuracy was achieved. SIFT-MS spectra handled with the appropriate chemometric tools were found suitable for the quality evaluation of EVAO. Copyright © 2022 Elsevier Ltd. All rights reserved.
Mourad Kharbach, Huiwen Yu, Rabie Kamal, Ilias Marmouzi, Katim Alaoui, Joeri Vercammen, Abdelaziz Bouklouze, Yvan Vander Heyden. Authentication of extra virgin Argan oil by selected-ion flow-tube mass-spectrometry fingerprinting and chemometrics. Food chemistry. 2022 Jul 30;383:132565
PMID: 35245834
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