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A Preliminary Study on the Potential of FT-IR Spectroscopy and Chemometrics for Tracing the Geographical Origin of Moroccan Virgin Olive Oils.
J AOAC Int. 2023 May 03; 106(3):804-812.JA

Abstract

BACKGROUND

The authentication of the geographical origin of virgin olive oils (VOO) generally requires the use of sophisticated and time-consuming analytical techniques. There is a need for quick and simple analytical techniques to predict the origin of olive oils.

OBJECTIVE

This study aims to examine the physico-chemical data of olive oils collected in six regions of Morocco during two consecutive years 2020 and 2021, and also to evaluate the ability of FT-IR in combination with discrimination tools to study the geographical origin of Moroccan olive oils.

METHOD

Fourier transform infrared spectroscopy (FTIR) was used in this study as an emerging analytical technique to express a unique "fingerprint." A preliminary processing of the ATR-FTIR spectral data was performed by preprocessing algorithm to reduce the noise and the effect of signal variation as well as to minimize the effects of light scattering to extract the maximum analytical information from the spectra. A multivariate statistical procedure based on principal component analysis (PCA) coupled with linear discriminant analysis (LDA) as well as partial least-squares discriminant analysis (PLS-DA) was developed to provide a powerful classification approach.

RESULTS

Based on the PCA, six clusters were identified. The application of PCA-LDA and PLS-DA procedures demonstrate a powerful capacity in predicting the geographic origin of olive oils; this capacity is shown by the high value of correct classification rate (CCR), varying between 84.09 and 100%.

CONCLUSIONS

The suggested procedure has given reliable results for the classification of olive oils according to their geographical origin, with advantages such as being fast, inexpensive, and not requiring any prior separation process.

HIGHLIGHTS

The performance of this approach is significantly faster and possesses a higher degree of selectivity and sensitivity. The implementation of this technique for routine analysis of olive oil would save significant time, resources, and solvents.

Links

Publisher Full Text (DOI)

Authors+Show Affiliations

Laouni A
Mohammed V University, Laboratory of Analytical Chemistry, Faculty of Medicine and Pharmacy, Rabat, Morocco. University Mohammed V, Pharmaceutical and Toxicological Analysis Research Team, Laboratory of Pharmacology and Toxicology, Faculty of Medicine and Pharmacy, Rabat, Morocco.
El Orche A
University of Sultan Moulay Slimane, Team of Analytical and Computational Chemistry, Nanotechnology and Environment, Faculty of Sciences and Techniques, Beni Mellal, Morocco.
Elhamdaoui O
Mohammed V University, Laboratory of Analytical Chemistry, Faculty of Medicine and Pharmacy, Rabat, Morocco.
Karrouchi K
Mohammed V University, Laboratory of Analytical Chemistry, Faculty of Medicine and Pharmacy, Rabat, Morocco.
El Karbane M
Mohammed V University, Laboratory of Analytical Chemistry, Faculty of Medicine and Pharmacy, Rabat, Morocco.
Bouatia M
Mohammed V University, Laboratory of Analytical Chemistry, Faculty of Medicine and Pharmacy, Rabat, Morocco.

MeSH

Olive OilOleaSpectroscopy, Fourier Transform InfraredChemometricsPlant OilsDiscriminant AnalysisLeast-Squares Analysis

Pub Type(s)

Journal Article

Language

eng

PubMed ID

36326447

Citation

Laouni, Amine, et al. "A Preliminary Study On the Potential of FT-IR Spectroscopy and Chemometrics for Tracing the Geographical Origin of Moroccan Virgin Olive Oils." Journal of AOAC International, vol. 106, no. 3, 2023, pp. 804-812.
Laouni A, El Orche A, Elhamdaoui O, et al. A Preliminary Study on the Potential of FT-IR Spectroscopy and Chemometrics for Tracing the Geographical Origin of Moroccan Virgin Olive Oils. J AOAC Int. 2023;106(3):804-812.
Laouni, A., El Orche, A., Elhamdaoui, O., Karrouchi, K., El Karbane, M., & Bouatia, M. (2023). A Preliminary Study on the Potential of FT-IR Spectroscopy and Chemometrics for Tracing the Geographical Origin of Moroccan Virgin Olive Oils. Journal of AOAC International, 106(3), 804-812. https://doi.org/10.1093/jaoacint/qsac136
Laouni A, et al. A Preliminary Study On the Potential of FT-IR Spectroscopy and Chemometrics for Tracing the Geographical Origin of Moroccan Virgin Olive Oils. J AOAC Int. 2023 May 3;106(3):804-812. PubMed PMID: 36326447.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A Preliminary Study on the Potential of FT-IR Spectroscopy and Chemometrics for Tracing the Geographical Origin of Moroccan Virgin Olive Oils. AU - Laouni,Amine, AU - El Orche,Aimen, AU - Elhamdaoui,Omar, AU - Karrouchi,Khalid, AU - El Karbane,Miloud, AU - Bouatia,Mustapha, PY - 2022/07/16/received PY - 2022/09/25/revised PY - 2022/10/24/accepted PY - 2023/5/5/medline PY - 2022/11/4/pubmed PY - 2022/11/3/entrez SP - 804 EP - 812 JF - Journal of AOAC International JO - J AOAC Int VL - 106 IS - 3 N2 - BACKGROUND: The authentication of the geographical origin of virgin olive oils (VOO) generally requires the use of sophisticated and time-consuming analytical techniques. There is a need for quick and simple analytical techniques to predict the origin of olive oils. OBJECTIVE: This study aims to examine the physico-chemical data of olive oils collected in six regions of Morocco during two consecutive years 2020 and 2021, and also to evaluate the ability of FT-IR in combination with discrimination tools to study the geographical origin of Moroccan olive oils. METHOD: Fourier transform infrared spectroscopy (FTIR) was used in this study as an emerging analytical technique to express a unique "fingerprint." A preliminary processing of the ATR-FTIR spectral data was performed by preprocessing algorithm to reduce the noise and the effect of signal variation as well as to minimize the effects of light scattering to extract the maximum analytical information from the spectra. A multivariate statistical procedure based on principal component analysis (PCA) coupled with linear discriminant analysis (LDA) as well as partial least-squares discriminant analysis (PLS-DA) was developed to provide a powerful classification approach. RESULTS: Based on the PCA, six clusters were identified. The application of PCA-LDA and PLS-DA procedures demonstrate a powerful capacity in predicting the geographic origin of olive oils; this capacity is shown by the high value of correct classification rate (CCR), varying between 84.09 and 100%. CONCLUSIONS: The suggested procedure has given reliable results for the classification of olive oils according to their geographical origin, with advantages such as being fast, inexpensive, and not requiring any prior separation process. HIGHLIGHTS: The performance of this approach is significantly faster and possesses a higher degree of selectivity and sensitivity. The implementation of this technique for routine analysis of olive oil would save significant time, resources, and solvents. SN - 1944-7922 UR - https://www.unboundmedicine.com/medline/citation/36326447/A_Preliminary_Study_on_the_Potential_of_FT_IR_Spectroscopy_and_Chemometrics_for_Tracing_the_Geographical_Origin_of_Moroccan_Virgin_Olive_Oils_ DB - PRIME DP - Unbound Medicine ER -

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