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Does Variability Affect the Performance of Front-Face Fluorescence Spectroscopy? A Study Case on Commercial Lebanese Olive Oil

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Abstract

The potential of front-face fluorescence spectroscopy coupled with chemometric techniques, namely multiple linear regression (MLR) applied on parallel factor (PARAFAC) scores and partial least squares (PLS), was tested on Lebanese olive oil samples possessing natural variability within their chemical parameters. Ninety-six olive oil samples have been harvested at different dates and from two seasons, processed using different extraction methods, collected from different altitudes and other factors that can increase the variability of the samples’ chemical composition. Fluorescence excitation-emission matrices (EEM) of the collected samples were measured, and the relationship between them and the chemical parameters was examined. Twenty-two MLR regression models based on PARAFAC scores were generated, the majority of which showed a good correlation coefficient (R > 0.7 for ten predicted variables). A second model using PLS on the unfolded EEM was also conducted to improve the regression and to assess if it can handle the variability in hand. However, similar results, with a slight improvement over the MLR model, were obtained. In a non-experimental design, such variability may hinder the potentials of front-face fluorescence; however average to good MLR and PLS models were obtained, predicting the Lebanese olive oil deterioration quality parameters and fatty acid content.

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Acknowledgments

The authors would like to acknowledge the National Council for Scientific Research of Lebanon (CNRS-L) and the Lebanese University (UL) for their financial support and for granting a doctoral fellowship to “Omar Dib”. We also would like to thank all olive farmers, whose assistance was essential to this study execution.

Funding

This research was funded by the National Council for Scientific Research of Lebanon [5/2106]; and the Lebanese University [504/12/CU].

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Authors and Affiliations

  1. UMR 0914 PNCA, AgroParisTech, INRA, Université Paris-Saclay, 16, rue Claude Bernard, Paris, 75005, France

    Omar H. Dib, Nathalie Locquet & Christophe B. Y. Cordella

  2. Department of Food Science and Technology, Lebanese University, Beirut Dekweneh, Lebanon

    Omar H. Dib, Jad Rizkalah, Rita Yaacoub, Hussein Dib & Ali Bassal

  3. C2B research group (UMR PNCA) – Chimiométrie pour la Caractérisation de Biomarqueurs, AgroParisTech, Paris, France

    Omar H. Dib, Nathalie Locquet & Christophe B. Y. Cordella

  4. Ingénierie Procédés Aliments, INRA, AgroParisTech, Université Paris-Saclay, Massy, France

    Luc Eveleigh

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  1. Omar H. Dib
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  4. Hussein Dib
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Omar H. Dib, Jad Rizkalah, Rita Yaacoub, Hussein Dib, Nathalie Locquet, Luc Eveleigh, Christophe B. Y. Cordella, and Ali Bassal. The first draft of the manuscript was written by Omar H.Dib and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Omar H. Dib or Christophe B. Y. Cordella.

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Dib, O.H., Rizkalah, J., Yaacoub, R. et al. Does Variability Affect the Performance of Front-Face Fluorescence Spectroscopy? A Study Case on Commercial Lebanese Olive Oil. J Fluoresc 31, 107–118 (2021). https://doi.org/10.1007/s10895-020-02634-8

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