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 ATR-FT-MIR spectroscopies. RESULT: The application of partial least squares discriminant analysis (PLS-DA) model showed an accuracy of 100%. The quantification of adulteration have been evaluated using partial least square regression (PLS). 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 (RMSE) 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 between 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. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
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 ATR-FT-MIR spectroscopies. RESULT: The application of partial least squares discriminant analysis (PLS-DA) model showed an accuracy of 100%. The quantification of adulteration have been evaluated using partial least square regression (PLS). 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 (RMSE) 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 between 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. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.