A novel chemometric strategy for the estimation of extra virgin olive oil adulteration with edible oils

A useful procedure for the qualitative and quantitative determination of vegetable oils (canola, hazelnut, pomace and high linoleic/oleic sunflower) as adulterants in commercial samples of extra virgin olive oil, has been developed. Partial least squares (PLS) was employed for the analysis of Fourier transform infrared spectroscopy (FTIR) spectral data of the blend oil samples. Calibration models were constructed for extra virgin olive oil purity, with wavelength selection in the infrared region, according to their predictive ability, with first derivative and mean centering used as data pretreatment. PLS models were internally validated by the leave-one-out procedure. The method developed was very suitable for the determination of modeled adulterants but it may also reveal an adulteration even if it does not derive from the adulterants employed in this study.

[1]  N. M. Faber,et al.  Uncertainty estimation and figures of merit for multivariate calibration (IUPAC Technical Report) , 2006 .

[2]  R. Aparicio,et al.  Authentication of vegetable oils by chromatographic techniques. , 2000, Journal of chromatography. A.

[3]  E. Chiavaro,et al.  DIFFERENTIAL SCANNING CALORIMETRY DETECTION OF HIGH OLEIC SUNFLOWER OIL AS AN ADULTERANT IN EXTRA‐VIRGIN OLIVE OIL , 2009 .

[4]  J. Harwood,et al.  Nutritional and health aspects of olive oil , 2002 .

[5]  E. V. Thomas,et al.  Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information , 1988 .

[6]  Elena Vittadini,et al.  Differential scanning calorimeter application to the detectionof refined hazelnut oil in extra virgin olive oil. , 2008, Food chemistry.

[7]  Di Wu,et al.  Independent Component Analysis and Support Vector Machine combined for Brands Identification of Milk Powder Based on Visible and Short-Wave Near-Infrared Spectroscopy , 2008, 2008 Congress on Image and Signal Processing.

[8]  Lorenzo Cerretani,et al.  Monitoring of fatty acid composition in virgin olive oil by Fourier transformed infrared spectroscopy coupled with partial least squares , 2009 .

[9]  G. P. Blanch,et al.  Rapid Recognition of Olive Oil Adulterated with Hazelnut Oil by Direct Analysis of the Enantiomeric Composition of Filbertone , 1998 .

[10]  B. Kowalski,et al.  Partial least-squares regression: a tutorial , 1986 .

[11]  Igor Khmelinskii,et al.  Monitoring beer during storage by fluorescence spectroscopy , 2006 .

[12]  L. Mauer,et al.  Detection of hazelnut oil adulteration using FT-IR spectroscopy. , 2002, Journal of agricultural and food chemistry.

[13]  Hui Li,et al.  Discrimination of edible oil products and quantitative determination of their iodine value by Fourier transform near-infrared spectroscopy , 2000 .

[14]  F. R. Voort,et al.  Determination of peroxide value by fourier transform near-infrared spectroscopy , 2000 .

[15]  María Jesús Lerma-García,et al.  Authentication of extra virgin olive oils by Fourier-transform infrared spectroscopy , 2010 .

[16]  Apostolos Spyros,et al.  Detection of extra virgin olive oil adulteration with lampante olive oil and refined olive oil using nuclear magnetic resonance spectroscopy and multivariate statistical analysis. , 2005, Journal of agricultural and food chemistry.

[17]  Marcelo Blanco,et al.  Determination of olive oil free fatty acid by fourier transform infrared spectroscopy , 1999 .

[18]  Alejandro C. Olivieri,et al.  MVC1: an integrated MatLab toolbox for first-order multivariate calibration , 2004 .

[19]  Alejandro C Olivieri,et al.  Analytical advantages of multivariate data processing. One, two, three, infinity? , 2008, Analytical chemistry.

[20]  Miguel de la Guardia,et al.  Selection of calibration set samples in determination of olive oil acidity by partial least squares–attenuated total reflectance–Fourier transform infrared spectroscopy , 2003 .

[21]  S. D. Jong,et al.  Three-way principal component analysis applied to food analysis: an example , 2002 .

[22]  Ahmed Al-Alawi,et al.  New FTIR method for the determination of FFA in oils , 2004 .

[23]  N. Sinelli,et al.  Preliminary study on application of mid infrared spectroscopy for the evaluation of the virgin olive oil "freshness". , 2007, Analytica chimica acta.

[24]  K. Engel,et al.  AUTHENTICITY ASSESSMENT OF FATS AND OILS , 2001 .

[25]  Antonio Segura-Carretero,et al.  Phenolic molecules in virgin olive oils: a survey of their sensory properties, health effects, antioxidant activity and analytical methods. An overview of the last decade. , 2007, Molecules.

[26]  Svante Wold,et al.  Pattern recognition by means of disjoint principal components models , 1976, Pattern Recognit..

[27]  D L Massart,et al.  Identification of pharmaceutical excipients using NIR spectroscopy and SIMCA. , 1999, Journal of pharmaceutical and biomedical analysis.

[28]  Rubén M. Maggio,et al.  Alternative and improved method for the simultaneous determination of fexofenadine and pseudoephedrine in their combined tablet formulation. , 2007, Journal of pharmaceutical and biomedical analysis.

[29]  A. Bendini,et al.  PRELIMINARY EVALUATION OF THE APPLICATION OF THE FTIR SPECTROSCOPY TO CONTROL THE GEOGRAPHIC ORIGIN AND QUALITY OF VIRGIN OLIVE OILS , 2007 .

[30]  M. Guillén,et al.  Usefulness of the frequencies of some Fourier transform infrared spectroscopic bands for evaluating the composition of edible oil mixtures , 1999 .