Comparative study of three fingerprint analytical approaches based on spectroscopic sensors and chemometrics for the detection and quantification of argan oil adulteration

BACKGROUND Argan oil is one of the purest and rarest oils in the world, so that the addition of any further product is strictly prohibited by international regulations. Consequently, it is necessary to establish reliable analytical methods to ensure its authenticity. In this study, three multivariat...

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Bibliographic Details
Published in:Journal of the science of food and agriculture 2022-01, Vol.102 (1), p.95-104
Main Authors: El Orche, Aimen, Elhamdaoui, Omar, Cheikh, Amine, Zoukeni, Brahim, El Karbane, Miloud, Mbarki, Mohamed, Bouatia, Mustapha
Format: Article
Language:English
Subjects:
accuracy profile
adulteration
Analytical methods
argan oil
Calibration
chemometrics
Comparative studies
Discriminant analysis
Feasibility studies
Fluorescence
Fluorescence spectroscopy
Fourier analysis
Fourier transforms
FT‐MIR
Infrared spectroscopy
International regulations
Least squares
Model accuracy
Multivariate analysis
Oils & fats
Regression models
Sensors
spectroscopy
UV–visible
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Summary:BACKGROUND Argan oil is one of the purest and rarest oils in the world, so that the addition of any further product is strictly prohibited by international regulations. Consequently, it is necessary to establish reliable analytical methods to ensure its authenticity. In this study, three multivariate approaches have been developed and validated using fluorescence, UV–visible, and attenuated total reflectance Fourier transform mid‐infrared (FT‐MIR) spectroscopies. RESULTS The application of a partial least squares discriminant analysis model showed an accuracy of 100%. The quantification of adulteration have been evaluated using partial least squares (PLS) regression. The PLS model developed from fluorescence spectroscopy provided the best results for the calibration and cross‐validation sets, as it showed the highest R2 (0.99) and the lowest root mean square error of calibration and cross‐validation (0.55, 0.79). The external validation of the three multivariate approaches by the accuracy profile shows that these approaches guarantee reliable and valid results of 0.5–32%, 7–32%, and 10–32% using fluorescence, FT‐MIR and UV–visible spectroscopies respectively. CONCLUSION This study confirmed the feasibility of using spectroscopic sensors (routine technique) for rapid determination of argan oil falsification. © 2021 Society of Chemical Industry.
ISSN:0022-5142
1097-0010
DOI:10.1002/jsfa.11335