Detection of argan oil adulteration with olive oil using fluorescence spectroscopy and chemometrics tools

The laser induced fluorescence technique for determining the adulteration of argan oil by olive oil was investigated. the data were analyzed without any preprocessing using multivariate calibration methods of principal component analysis and partial least square regression. fluorescence spectra of different samples were measured using a laser beam of 532 nm wavelength. spectral data are analyzed to build a best calibration model for predicting the percentage of olive oil added to pure argan oil. a model with a regression coefficient of r2=0.992,a standard error of prediction sep=1.311 and bias=0.31 for adulteration has shown better prediction. a sensitive wavelength corresponding to the adulteration of argan oil by olive oil was proposed on the basis of loading by principal component analysis. the results show that laser induced fluorescence is a better,nondestructive and rapid optical method for analyzing argan oil adulterated by olive oil. the sensitivity detection of adulteration is possible starting from 0.43% olive oil mixed with 99.57% argan oil (w/w). the results of multivariate analysis reveal that argan oil contains enough information to detect doped argan.