Evaluation of the Capability of Horizontal ATR-FTMIR and UV-Visible Spectroscopy in the Discrimination of Virgin Olive Oils from the Moroccan Region of Beni Mellal-Khenifra

One of the most important challenges in the authentication of olive oil is the determination of the geographical origin of virgin olive oil. In this work, we evaluated the capacity of two spectroscopic techniques, UV-Visible and ATR-FTMIR, coupled with chemometric tools to determine the geographical...

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Main Authors: Aimen El Orche, Mustapha Bouatia, Siham Yanisse, Houda Labjar, Mouad Mouhsin, Mohamed Bouha, Mustapha Oubenali, Mohamed Mbarki
Format: Article
Language:English
Published: Wiley 2020-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2020/9317350
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author Aimen El Orche
Mustapha Bouatia
Siham Yanisse
Houda Labjar
Mouad Mouhsin
Mohamed Bouha
Mustapha Oubenali
Mohamed Mbarki
author_facet Aimen El Orche
Mustapha Bouatia
Siham Yanisse
Houda Labjar
Mouad Mouhsin
Mohamed Bouha
Mustapha Oubenali
Mohamed Mbarki
author_sort Aimen El Orche
collection DOAJ
description One of the most important challenges in the authentication of olive oil is the determination of the geographical origin of virgin olive oil. In this work, we evaluated the capacity of two spectroscopic techniques, UV-Visible and ATR-FTMIR, coupled with chemometric tools to determine the geographical origin of olive oils. These analytical approaches have been applied to samples that have been collected during the period of olive oil production, in the Moroccan region of Beni Mellal-Khenifra. To develop a rapid analysis tool capable of authenticating the geographical origin of virgin olive oils from five geographical areas of the Moroccan region of Beni Mellal-Khenifra, UV-Visible and ATR-FTMIR spectral data were processed by chemometric algorithms. PCA was applied on the spectral data set to represent the data in a very small space, and then discrimination methods were applied on the principal components synthesized by the PCA. The application of the PCA-LDA method on the spectral data of UV-Visible and ATR-FTMIR shows a good ability to classify olive oils according to their geographical origin with a percentage of correct classification that represents 90.24% and 85.87%, respectively, and the processing of the spectral data of UV-Visible and ATR-FTMIR by PCA-SVM allows differentiating correctly between five olive oils with a correct classification rate of 100% and 97.56, respectively. This study demonstrated the feasibility of UV-Visible and ATR-FTMIR fingerprinting (routine technique) for the geographical classification of olive oils in the Moroccan region of Beni Mellal-Khenifra. Such developed methods can be proposed as alternative and complementary methods to authenticate the geographical origin of virgin olive oil.
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spelling doaj-art-a863c09cfeee4213a00c5c5caa90141e2025-02-03T06:47:05ZengWileyJournal of Spectroscopy2314-49202314-49392020-01-01202010.1155/2020/93173509317350Evaluation of the Capability of Horizontal ATR-FTMIR and UV-Visible Spectroscopy in the Discrimination of Virgin Olive Oils from the Moroccan Region of Beni Mellal-KhenifraAimen El Orche0Mustapha Bouatia1Siham Yanisse2Houda Labjar3Mouad Mouhsin4Mohamed Bouha5Mustapha Oubenali6Mohamed Mbarki7Laboratory of Chemical Processes and Applied Materials, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, MoroccoLaboratory of Analytical Chemistry, Faculty of Medicine and Pharmacy, Mohammed V University of Rabat, Rabat, MoroccoLaboratory of Analytical Chemistry, Faculty of Medicine and Pharmacy, Mohammed V University of Rabat, Rabat, MoroccoMohammedia Faculty of Science and Technology, Hassan II University, Casablanca, MoroccoLaboratory of Chemical Processes and Applied Materials, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, MoroccoLaboratory of Chemical Processes and Applied Materials, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, MoroccoLaboratory of Chemical Processes and Applied Materials, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, MoroccoLaboratory of Chemical Processes and Applied Materials, Faculty of Science and Technology, Sultan Moulay Slimane University, Beni-Mellal, MoroccoOne of the most important challenges in the authentication of olive oil is the determination of the geographical origin of virgin olive oil. In this work, we evaluated the capacity of two spectroscopic techniques, UV-Visible and ATR-FTMIR, coupled with chemometric tools to determine the geographical origin of olive oils. These analytical approaches have been applied to samples that have been collected during the period of olive oil production, in the Moroccan region of Beni Mellal-Khenifra. To develop a rapid analysis tool capable of authenticating the geographical origin of virgin olive oils from five geographical areas of the Moroccan region of Beni Mellal-Khenifra, UV-Visible and ATR-FTMIR spectral data were processed by chemometric algorithms. PCA was applied on the spectral data set to represent the data in a very small space, and then discrimination methods were applied on the principal components synthesized by the PCA. The application of the PCA-LDA method on the spectral data of UV-Visible and ATR-FTMIR shows a good ability to classify olive oils according to their geographical origin with a percentage of correct classification that represents 90.24% and 85.87%, respectively, and the processing of the spectral data of UV-Visible and ATR-FTMIR by PCA-SVM allows differentiating correctly between five olive oils with a correct classification rate of 100% and 97.56, respectively. This study demonstrated the feasibility of UV-Visible and ATR-FTMIR fingerprinting (routine technique) for the geographical classification of olive oils in the Moroccan region of Beni Mellal-Khenifra. Such developed methods can be proposed as alternative and complementary methods to authenticate the geographical origin of virgin olive oil.http://dx.doi.org/10.1155/2020/9317350
spellingShingle Aimen El Orche
Mustapha Bouatia
Siham Yanisse
Houda Labjar
Mouad Mouhsin
Mohamed Bouha
Mustapha Oubenali
Mohamed Mbarki
Evaluation of the Capability of Horizontal ATR-FTMIR and UV-Visible Spectroscopy in the Discrimination of Virgin Olive Oils from the Moroccan Region of Beni Mellal-Khenifra
Journal of Spectroscopy
title Evaluation of the Capability of Horizontal ATR-FTMIR and UV-Visible Spectroscopy in the Discrimination of Virgin Olive Oils from the Moroccan Region of Beni Mellal-Khenifra
title_full Evaluation of the Capability of Horizontal ATR-FTMIR and UV-Visible Spectroscopy in the Discrimination of Virgin Olive Oils from the Moroccan Region of Beni Mellal-Khenifra
title_fullStr Evaluation of the Capability of Horizontal ATR-FTMIR and UV-Visible Spectroscopy in the Discrimination of Virgin Olive Oils from the Moroccan Region of Beni Mellal-Khenifra
title_full_unstemmed Evaluation of the Capability of Horizontal ATR-FTMIR and UV-Visible Spectroscopy in the Discrimination of Virgin Olive Oils from the Moroccan Region of Beni Mellal-Khenifra
title_short Evaluation of the Capability of Horizontal ATR-FTMIR and UV-Visible Spectroscopy in the Discrimination of Virgin Olive Oils from the Moroccan Region of Beni Mellal-Khenifra
title_sort evaluation of the capability of horizontal atr ftmir and uv visible spectroscopy in the discrimination of virgin olive oils from the moroccan region of beni mellal khenifra
url http://dx.doi.org/10.1155/2020/9317350
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