Chemometric classification of citrus juices of Moroccan cultivars by infrared spectroscopy

Aziz Hirri, Michele de Luca, Giuseppina Ioele, Abdessamad Balouki, El Mahfoud El Bassbasi, Fouzia Kzaiber, Abdelkhalek Oussama and Gaetano Ragno
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Aziz Hirri: Laboratory of Applied and Environmental Chemical Spectroscopy (LSCAE), Faculty of Sciences and Techniques, University Sultan Moulay Slimane, Beni-Mallat, Morocco
Michele de Luca: Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende (CS), Italy
Giuseppina Ioele: Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende (CS), Italy
Abdessamad Balouki: Laboratory of Applied and Environmental Chemical Spectroscopy (LSCAE), Faculty of Sciences and Techniques, University Sultan Moulay Slimane, Beni-Mallat, Morocco
El Mahfoud El Bassbasi: Laboratory of Applied and Environmental Chemical Spectroscopy (LSCAE), Faculty of Sciences and Techniques, University Sultan Moulay Slimane, Beni-Mallat, Morocco
Fouzia Kzaiber: Laboratory of Applied and Environmental Chemical Spectroscopy (LSCAE), Faculty of Sciences and Techniques, University Sultan Moulay Slimane, Beni-Mallat, Morocco
Abdelkhalek Oussama: Laboratory of Applied and Environmental Chemical Spectroscopy (LSCAE), Faculty of Sciences and Techniques, University Sultan Moulay Slimane, Beni-Mallat, Morocco
Gaetano Ragno: Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende (CS), Italy

Czech Journal of Food Sciences, 2015, vol. 33, issue 2, 137-142

Abstract: Fourier transform - infrared (FTIR) spectroscopy in connection with chemometric methodologies was used as a fast and direct analytical approach to classify citrus cultivars by the measurements on their juice. Modern multivariate analysis responds to the current needs for economic, simple, and fast methods able to classify new unknown samples with great accuracy. A set of 135 samples of citrus juice, representative of three cultivars (Hamlin, Muska, and Valencia), all picked in the same geographical area of Morocco, were analysed. Chemometric discrimination of the juice samples was achieved by principal component analysis (PCA) performed on the FTIR spectral data from the juice samples, showing an explained variance of 97.84% by considering only 2 PCs. A fully correct classification of the three Moroccan cultivars was then obtained by using Partial Least Square-Discriminant Analysis (PLS-DA) modelling procedure.

Keywords: Fourier transform infrared; Multivariate analysis; cultivar classification; Principal Component Analysis; Partial Least Squares-Discriminant Analysis (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlcjf:v:33:y:2015:i:2:id:284-2014-cjfs

DOI: 10.17221/284/2014-CJFS

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