Classification of the geographical origin of argan kernels by infrared spectroscopy and chemometrics
Oussama, A., Elabadi, F., Barka, N., Mahjoubi, F., Kzaiber, F. (2021). Classification of the geographical origin of argan kernels by infrared spectroscopy and chemometrics. EKB Journal Management System, 64(6), 2765-2774. doi: 10.21608/ejchem.2021.54218.3125
Abdelkhalek Oussama; Fatiha Elabadi; Noureddine Barka; Fatima Zahra Mahjoubi; Fouzia Kzaiber. "Classification of the geographical origin of argan kernels by infrared spectroscopy and chemometrics". EKB Journal Management System, 64, 6, 2021, 2765-2774. doi: 10.21608/ejchem.2021.54218.3125
Oussama, A., Elabadi, F., Barka, N., Mahjoubi, F., Kzaiber, F. (2021). 'Classification of the geographical origin of argan kernels by infrared spectroscopy and chemometrics', EKB Journal Management System, 64(6), pp. 2765-2774. doi: 10.21608/ejchem.2021.54218.3125
Oussama, A., Elabadi, F., Barka, N., Mahjoubi, F., Kzaiber, F. Classification of the geographical origin of argan kernels by infrared spectroscopy and chemometrics. EKB Journal Management System, 2021; 64(6): 2765-2774. doi: 10.21608/ejchem.2021.54218.3125

Classification of the geographical origin of argan kernels by infrared spectroscopy and chemometrics

Egyptian Journal of Chemistry
Article 3, Volume 64, Issue 6, June 2021, Page 2765-2774  XML PDF (682.6 K)
Document Type: Original Article
DOI: 10.21608/ejchem.2021.54218.3125
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Authors
Abdelkhalek Oussama1; Fatiha Elabadi2; Noureddine Barkaorcid 3; Fatima Zahra Mahjoubi email 4; Fouzia Kzaiber5
1Université sultan Moulay Slimane, Laboratoire de Spectro-chimiometrie appliquée et Environnement, Faculté des Sciences et techniques de Beni Mellal, Maroccoo
2Université sultan Moulay Slimane, Laboratoire de Spectro-chimiometrie appliquée et Environnement, Faculté des Sciences et techniques de Beni Mellal, Morocco
3Sultan Moulay Slimane University of Beni Mellal, Research Group in Environmental Sciences and Applied Materials (SEMA), FP Khouribga, B.P.145, 25000 Khouribga, Morocco.
4Sultan Moulay Slimane University of Beni Mellal, Equipe de Spectro–Chimiométrie Appliquée et Environnement, FST Beni Mellal, B.P. 523, Beni Mellal, Morocco
5Université sultan Moulay Slimane, Ecole Supérieure de Technologie de Beni Mellal, Laboratoire d'Ingénierie et Technologies Appliquées (LITA), Maroccoo
Abstract
The main objective of this study is the use of Fourier transform mid-infrared (FTIR) spectroscopy for discrimination of samples of Argan kernels from three Moroccan regions. The content of Argan oil extracted from the kernel depends on the plant genotype and on the environmental conditions. The origin of argan kernel samples could be distinguished combining the IR spectra measurement and chemometric tools for discriminant analysis. A multivariate analysis procedure based on the combined use of Hierarchical Cluster Analysis (HCA) and Partial Least Squares-Discriminant Analysis (PLS-DA) was tested for this purpose. HCA showed three distinct clusters related to the Moroccan regions and suggested the usefulness of IR spectroscopy to distinguish among kernel origins. Afterwards, PLS-DA was used for the discrimination and classification of the origin of the various argan kernels and good classification models and validation results were obtained. For 9 new unknown samples we attribuate 100% these samples by external validation. The results demonstrated that the combined use of FTIR and chemometric analysis (cluster analysis and discrimination by PLS- DA) can be used to rapidly and simply determine the origine of argan kernels, a relevant task for the agroalimentary Moroccan industry.
Keywords
FTIR; Discriminant analysis; Argan kernel; Food authetification; Cluster analysis; PLS-DA
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