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FTIR Spectroscopy and PLS-DA Classification and Prediction of Four Commercial Grade Virgin Olive Oils from Morocco

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Abstract

Fourier transform infrared (FTIR) coupled to chemometrics was shown to be a useful method to classify and predict the quality of four commercial grade virgin olive oils (VOO). FTIR and physicochemical data were collected using a set of 70 samples representing extra virgin (EV), virgin (V), ordinary virgin (OV), and lampante (L) commercial grade olive oils collected in Beni Mellal region (central Morocco). Two partial least squares discriminant analysis (PLS-DA) models using physicochemical data and FTIR data were established and compared. The PLS-DA model using only physicochemical data was not accurate enough to distinguish satisfactorily among OV, V, and EV olive oil grades. On the contrary, the PLS-DA model on FTIR data was better in the calibration, able to describe 98 % of the spectral information and predicting 93 % of the VOO grades. In the external validation, this PLS-DA model accurately classified VOO commercial grades with prediction accuracy of 100 %. The proposed procedure is fast, nondestructive, simple, and easy to operate, and it is recommended for the quick monitoring of olive oil’s quality.

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Compliance with Ethical Standards

Funding

Part of this study was funded by the grant CTQ2012-38616-C02-01 (Ministerio de Economía y Competividad, Spain).

Conflict of Interest

Aziz Hirri declares that he has no conflict of interest. Mahfould Bassbasi declares that he has no conflict of interest. Stefan Platikanov declares that he has no conflict of interest. Roma Tauler declares that he has no conflict of interest. Abdelkhalek Oussama declares that he has no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Authors and Affiliations

  1. Laboratoire de Spectrochimie Appliqué et Environnement, Faculté des Sciences et Techniques de Béni Mellal, Université Moulay Soulymane, Beni Mellal, Morocco

    Aziz Hirri, Mahfould Bassbasi & Abdelkhalek Oussama

  2. IDAEA-CSIC, Jordi Girona, 18-26, Barcelona, Spain

    Stefan Platikanov & Roma Tauler

Authors
  1. Aziz Hirri
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  2. Mahfould Bassbasi
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  3. Stefan Platikanov
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  4. Roma Tauler
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  5. Abdelkhalek Oussama
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Corresponding author

Correspondence to Abdelkhalek Oussama.

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Hirri, A., Bassbasi, M., Platikanov, S. et al. FTIR Spectroscopy and PLS-DA Classification and Prediction of Four Commercial Grade Virgin Olive Oils from Morocco. Food Anal. Methods 9, 974–981 (2016). https://doi.org/10.1007/s12161-015-0255-y

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  • DOI: https://doi.org/10.1007/s12161-015-0255-y

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