RAPID ASSESSMENT OF THE ADULTERATION OF VIRGIN OLIVE OILS BY OTHER SEED OILS USING PYROLYSIS MASS-SPECTROMETRY AND ARTIFICIAL NEURAL NETWORKS

Citation
R. Goodacre et al., RAPID ASSESSMENT OF THE ADULTERATION OF VIRGIN OLIVE OILS BY OTHER SEED OILS USING PYROLYSIS MASS-SPECTROMETRY AND ARTIFICIAL NEURAL NETWORKS, Journal of the Science of Food and Agriculture, 63(3), 1993, pp. 297-307
Citations number
62
Categorie Soggetti
Agriculture,"Food Science & Tenology
ISSN journal
00225142
Volume
63
Issue
3
Year of publication
1993
Pages
297 - 307
Database
ISI
SICI code
0022-5142(1993)63:3<297:RAOTAO>2.0.ZU;2-4
Abstract
Curie-point pyrolysis mass spectra were obtained from a variety of ext ra-virgin olive oils, prepared from various cultivars using several me chanical treatments. Some of the oils were adulterated (according to a double-blind protocol) with different amounts of seed oils (50-500 ml of soya, sunflower. peanut, corn or rectified olive oils per litre of mixed oil). Canonical variates analysis indicated that the major sour ce of variation between the pyrolysis mass spectra was due to differen ces between the cultivars, rather than whether the oils had been adult erated. However, artificial neural networks could be trained (using th e back-propagation algorithm) successfully to distinguish virgin oils from those which had been adulterated.