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Chemometric classification of citrus juices of Moroccan cultivars by infrared spectroscopy

Author

Listed:
  • 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)

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.

Suggested Citation

  • Aziz HIRRI & Michele DE LUCA & Giuseppina IOELE & Abdessamad BALOUKI & El Mahfoud El BASSBASI & Fouzia KZAIBER & Abdelkhalek OUSSAMA & Gaetano RAGNO, 2015. "Chemometric classification of citrus juices of Moroccan cultivars by infrared spectroscopy," Czech Journal of Food Sciences, Czech Academy of Agricultural Sciences, vol. 33(2), pages 137-142.
    • Handle: RePEc:caa:jnlcjf:v:33:y:2015:i:2:id:284-2014-cjfs
    DOI: 10.17221/284/2014-CJFS
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    References listed on IDEAS

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    1. Zhao, Xingxiang & Liu, Gang & Li, Weixing & Wang, Xiaohua & Hao, Jianming & Zhou, Xiangping, 2014. "Discrimination of Five Citrus Diseased Leaves by FTIR Spectroscopy," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 6(01), pages 1-4, January.
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