Title: | Authentication of extra virgin Argan oil by selected-ion flow-tube mass-spectrometry fingerprinting and chemometrics |
Author(s): | Kharbach M; Yu H; Kamal R; Marmouzi I; Alaoui K; Vercammen J; Bouklouze A; Vander Heyden Y; |
Address: | "Research Unit of Mathematical Sciences, University of Oulu, FI-90014 Oulu, Finland; Department of Food and Nutrition, P.O. Box 66, FI-00014, University of Helsinki, Finland; Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium. Electronic address: mourad.kharbach@hotmail.fr. Chemometrics and Analytical Technology, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg, Denmark. Pharmacodynamics Research Team, Laboratory of Pharmacology and Toxicology, Faculty of Medicine and Pharmacy, University Mohammed V in Rabat, Morocco. Biopharmaceutical and Toxicological Analysis Research Team, Laboratory of Pharmacology and Toxicology, Faculty of Medicine and Pharmacy, University Mohammed V in Rabat, Morocco. Interscience Expert Center (IS-X), Avenue Jean-Etienne Lenoir 2, 1348 Louvain-la-Neuve, Belgium; Industrial Catalysis and Adsorption Technology (INCAT), Faculty of Engineering and Architecture, Ghent University, Valentin Vaerwyckweg 1, 9000, Ghent, Belgium. Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium. Electronic address: yvanvdh@vub.ac.be" |
DOI: | 10.1016/j.foodchem.2022.132565 |
ISSN/ISBN: | 1873-7072 (Electronic) 0308-8146 (Linking) |
Abstract: | "Recognized 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 H(3)O(+), NO(+), O(2)(+) 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" |
Keywords: | *Chemometrics Food Contamination/analysis Ions/analysis Mass Spectrometry/methods Olive Oil/chemistry *Plant Oils/chemistry Adulteration Extra virgin Argan oil Oil authentication Oil fraud Selected-Ion Flow-Tube Mass Spectrometry Volatile organic compound; |
Notes: | "MedlineKharbach, Mourad Yu, Huiwen Kamal, Rabie Marmouzi, Ilias Alaoui, Katim Vercammen, Joeri Bouklouze, Abdelaziz Vander Heyden, Yvan eng England 2022/03/05 Food Chem. 2022 Jul 30; 383:132565. doi: 10.1016/j.foodchem.2022.132565. Epub 2022 Feb 25" |