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Application of Optical Spectroscopic Techniques and Multivariate Statistical Analysis as a Method of Determining the Percentage and Type of Adulteration of Extra Virgin Olive Oil

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Abstract

The adulteration of extra virgin olive oil (EVOO) with low quality edible oils is a major problem in the industry leading to economic frauds as well as customers’ health issues. A number of techniques have been used in the recent years for the characterization of extra virgin olive oil adulteration. In the current work, the spectroscopic techniques of absorption and fluorescence in combination with statistical analysis have been exploited to classify and quantify the adulteration of EVOO with different seed oils and pomace oil. The specific spectroscopic methods are rapid, with low cost and no sample pretreatment is required. The results of the present work indicate that both techniques are suitable for olive oil quality control, with absorption at visible region (400–800 nm) being superior for the specific number and types of oil samples. Specifically, visible absorption spectroscopy presents adulteration detection limits below 10%, a percentage within the range of commercial interest. The model accuracy of classification for the mixtures of adulterated oils is above 90%. For the first time, we present a facile method for obtaining simultaneously the amount of adulteration and the type of the adulterant in EVOO.

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Acknowledgements

The authors would like to thank Ioulia Karagiannaki for her support in the optimization of statistical analysis results.

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Study conception and design by M. V. Material preparation, data collection and analysis were performed by G. S. and A. P. The first draft of the manuscript was written by G. S. and A. P. commented on previous versions of the manuscript. M. V. supervised the project and finalized the writing of the paper. All authors read and approved the final manuscript.

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Correspondence to Michalis Velegrakis.

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This article does not contain any studies with human or animal subjects. Informed consent was obtained from all individual participants included in the study.

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The authors declare that they have no conflict of interest.

Giorgos Stavrakakis declares that he has no conflict of interest. Aggelos Philippidis declares that he has no conflict of interest. Michalis Velegrakis declares that he has no conflict of interest.

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Stavrakakis, G., Philippidis, A. & Velegrakis, M. Application of Optical Spectroscopic Techniques and Multivariate Statistical Analysis as a Method of Determining the Percentage and Type of Adulteration of Extra Virgin Olive Oil. Food Anal. Methods 15, 285–293 (2022). https://doi.org/10.1007/s12161-021-02055-8

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  • DOI: https://doi.org/10.1007/s12161-021-02055-8

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