Linear and non linear chemometric models to quantify the adulteration of extra virgin olive oil.
Two mathematical methods to quantify adulterations of extra virgin olive oil (EVOO) with refined olive oil (ROO), refined olive-pomace oil (ROPO), sunflower (SO) or corn (CO) oils have been described here. These methods are linear and non linear models based on chaotic parameters (CPs, Lyapunov exponent, autocorrelation coefficients and two fractal dimensions) which were calculated from UV-vis scans (190-900 nm wavelength) of 817 adulterated EVOO samples. By an external validation process, linear and non linear integrated CPs/UV-vis models estimate concentrations of adulterant agents with a mean correlation coefficient (estimated versus real concentration of cheaper oil) greater than 0.80 and 0.97 and a mean square error less than 1% and 0.007%, respectively. In the light of the results shown in this paper, the adulteration of EVOO with ROO, ROPO, SO and CO can be suitably detected by only one chaotic parameter integrated on a radial basis network model.
Department of Chemical Engineering, Faculty of Chemistry, University Complutense of Madrid, 28040 Madrid, Spain. jstorre@quim.ucm.es
José S
JS
Torrecilla
Ester
E
Rojo
Juan C
JC
Domínguez
Francisco
F
Rodríguez
D002623:Chemistry Techniques, Analytical; D003314:Corn Oil; D005504:Food Analysis / Q000379:methods*; D005506:Food Contamination; D017709:Fractals; D016014:Linear Models; D015233:Models, Statistical; D017711:Nonlinear Dynamics; D000069463:Olive Oil; D010938:Plant Oils / Q000032:analysis*; D015203:Reproducibility of Results; D013056:Spectrophotometry, Ultraviolet / Q000379:methods; D000074242:Sunflower Oil; D014466:Ultraviolet Rays
D000069463:Olive Oil; D010938:Plant Oils; D000074242:Sunflower Oil; D003314:Corn Oil