Fatty-acid profiling vs UV-Visible fingerprints for geographical classification of Moroccan Argan oils
| Autor: | Rabie Kamal, Katim Alaoui, Mourad Kharbach, Issam Barra, Yvan Vander Heyden, Yahya Cherrah, Abdelaziz Bouklouze, Ilias Marmouzi |
|---|---|
| Přispěvatelé: | Faculty of Medicine and Pharmacy, Analytical Chemistry and Pharmaceutical Technology, Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling, Pharmaceutical and Pharmacological Sciences |
| Rok vydání: | 2019 |
| Předmět: |
Myristic acid (PubChem CID: 11005)
01 natural sciences Linolenic acid (PubChem CID: 5280934) Extra virgin argan oil Chemometric classification Fatty-acid profiling 0404 agricultural biotechnology Palmitic acid (PubChem CID: 985) Geographical origin Statistics Partial least squares regression Arachidic acid (PubChem CID: 10467) Stearic acid (PubChem CID: 5281) Mathematics 010401 analytical chemistry Gadoleic acid (PubChem CID: 5282767) 04 agricultural and veterinary sciences UV-Visible fingerprints Linear discriminant analysis 040401 food science Linoleic acid (PubChem CID: 5280450) 0104 chemical sciences Principal component analysis Oleic acid (PubChem CID: 445639) Food Science Biotechnology |
| Zdroj: | Food Control. 95:95-105 |
| ISSN: | 0956-7135 |
| DOI: | 10.1016/j.foodcont.2018.07.046 |
| Popis: | Fatty-acid profiling vs UV-Visible fingerprinting in combination with chemometric tools were applied to classify edible Extra Virgin Argan Oils (EVAO) with protected geographic indication according to their geographical origins. Secondly, three EVAO categories classification were classified according to their extraction process (mechanical or traditional) and/or on the kernels (seeds) used for their preparation (roasted or unroasted). A total of 150 edible EVAO samples were collected during the harvest periods of 2012–2015, from five Moroccan Argan forests, i.e. Ait-Baha, Agadir, Essaouira, Tiznit, and Taroudant. A second set of 30 samples from the Taroudant region (harvest 2015) was used to classify in three EVAO categories according to extraction process/kernel type applied. Firstly, the EVAO quality is checked by determining physico-chemical parameters and the fatty-acid composition. Then, the UV-Visible spectra are recorded. Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA), were performed to classify the oils either according to their geographical origins or to their extraction process/kernel type. The results showed a highly significant discrimination of the five groups according to the region and of the three groups when considering the preparation. This study demonstrated the feasibility of UV-Visible fingerprinting (routine technique) for geographical classification or method preparation distinction. |
| Databáze: | OpenAIRE |
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