Selected-ion flow-tube mass-spectrometry (SIFT-MS) fingerprinting versus chemical profiling for geographic traceability of Moroccan Argan oils

Kharbach, Mourad; Kamal, Rabie; Alaoui Mansouri, Mohammed; Marmouzi, Ilias; Viaene, Johan; cherrah, Yahia; Alaoui, Katim; Vercammen, Joeri; Bouklouze, Abdelaziz; Vander heyden, Yvan

doi:10.1016/j.foodchem.2018.04.059

Article (Scientific journals)

Selected-ion flow-tube mass-spectrometry (SIFT-MS) fingerprinting versus chemical profiling for geographic traceability of Moroccan Argan oils

Kharbach, Mourad; Kamal, Rabie; Alaoui Mansouri, Mohammed et al.

2018 • In Food Chemistry, 263, p. 8-17

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/2268/253942

DOI
10.1016/j.foodchem.2018.04.059

PubMed
29784331

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Keywords :

Argan oil; Selected-ion flow-tube mass spectrometry; Geographical origin; Chemometric class-modeling; Classification methods; Fingerprints

Abstract :

[en] This study investigated the effectiveness of SIFT-MS versus chemical profiling, both coupled to multivariate data analysis, to classify 95 Extra Virgin Argan Oils (EVAO), originating from five Moroccan Argan forest locations. The full scan option of SIFT-MS, is suitable to indicate the geographic origin of EVAO based on the fingerprints obtained using the three chemical ionization precursors (H3O+, NO+ and O2 +). The chemical profiling (including acidity, peroxide value, spectrophotometric indices, fatty acids, tocopherols- and sterols composition) was also used for classification. Partial least squares discriminant analysis (PLS-DA), soft independent modeling of class analogy (SIMCA), K-nearest neighbors (KNN), and support vector machines (SVM), were compared. The SIFT-MS data were therefore fed to variable-selection methods to find potential biomarkers for classification. The classification models based either on chemical profiling or SIFT-MS data were able to classify the samples with high accuracy. SIFT-MS was found to be advantageous for rapid geographic classification.

Disciplines :

Food science

Author, co-author :

Kharbach, Mourad; Vrije Universiteit Brussel (VUB) > Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling

Kamal, Rabie

Alaoui Mansouri, Mohammed ; Université de Liège - ULiège > Doct. sc. bioméd. & pharma. (paysage)

Marmouzi, Ilias; University Mohammed V-Rabat > Biopharmaceutical and Toxicological Analysis Research Team, Laboratory of Pharmacology and Toxicology,

Viaene, Johan; Vrije Universiteit Brussel (VUB) > Analytical Chemistry, Applied Chemometrics and Molecular Modelling

cherrah, Yahia; University Mohammed V-Rabat > Biopharmaceutical and Toxicological Analysis Research Team, Laboratory of Pharmacology and Toxicology,

Alaoui, Katim; University Mohammed V-Rabat > Biopharmaceutical and Toxicological Analysis Research Team, Laboratory of Pharmacology and Toxicology,

Vercammen, Joeri; Interscience, Avenue J.E. Lenoir 2, 1348 Louvain-la-Neuve

Bouklouze, Abdelaziz ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique

Vander heyden, Yvan

Language :

English

Title :

Selected-ion flow-tube mass-spectrometry (SIFT-MS) fingerprinting versus chemical profiling for geographic traceability of Moroccan Argan oils

Publication date :

18 April 2018

Journal title :

Food Chemistry

ISSN :

0308-8146

eISSN :

1873-7072

Publisher :

Elsevier, Netherlands

Volume :

263

Pages :

8-17

Peer reviewed :

Peer Reviewed verified by ORBi

Name of the research project :

VLIR-UOS (Team project-VLIR 345 MA2017)

Funders :

Mohammed VI Foundation for Research and Protection of the Argan Tree
FWO - Fonds Wetenschappelijk Onderzoek Vlaanderen
VUB - Vrije Universiteit Brussel
FMPR - Faculty of Medicine and Pharmacy-Rabat

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