Detecting and Quantifying Sunflower Oil Adulteration in Extra Virgin Olive Oils from the Eastern Mediterranean by Visible and Near-Infrared Spectroscopy

2002 ◽  
Vol 50 (20) ◽  
pp. 5520-5525 ◽  
Author(s):  
Gerard Downey ◽  
Peter McIntyre ◽  
Antony N. Davies
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Sunflower Oil ◽  
Near Infrared ◽  
Eastern Mediterranean ◽  
Virgin Olive Oils ◽  
Olive Oils

Geographic Classification of Extra Virgin Olive Oils from the Eastern Mediterranean by Chemometric Analysis of Visible and Near-Infrared Spectroscopic Data

2003 ◽  
Vol 57 (2) ◽  
pp. 158-163 ◽  
Author(s):  
Gerard Downey ◽  
Peter McIntyre ◽  
Antony N. Davies
Keyword(s):  
Discriminant Analysis ◽  
Spectral Data ◽  
Near Infrared ◽  
Eastern Mediterranean ◽  
Geographic Origin ◽  
Near Infrared Reflectance ◽  
Virgin Olive Oils ◽  
Olive Oils ◽  
Sample Set ◽  
Factorial Discriminant Analysis

Visible and near-infrared reflectance spectra have been examined for their ability to classify extra virgin olive oils from the eastern Mediterranean on the basis of their geographic origin. Classification strategies investigated were partial least-squares regression, factorial discriminant analysis, and k-nearest neighbors analysis. Discriminant models were developed and evaluated using spectral data in the visible (400–750 nm), near-infrared (1100–2498 nm), and combined (400–2498 nm) wavelength ranges. A variety of data pretreatments was applied. Best results were obtained using factorial discriminant analysis on raw spectral data over the combined wavelength range; a correct classification rate of 93.9% was obtained on a prediction sample set. Though the overall sample set was limited in numbers, these results demonstrate the potential of near-infrared spectroscopy to classify extra virgin olive oils on the basis of their geographic origin.

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