%0 Journal Article %1 lopez-diez:2003:AFC %A Lopez-Diez, E. Consuelo %A Bianchi, Giorgio %A Goodacre, Royston %D 2003 %J Journal of Agricultural and Food Chemistry %K Raman adulteration, algorithms, analysis, component genetic hazelnut least-squares oil, olive partial principal programming, quantification, regression spectroscopy, %N 21 %P 6145--6150 %R doi:10.1021/jf034493d %T Rapid Quantitative Assessment of the Adulteration of Virgin Olive Oils with Hazelnut Oils Using Raman Spectroscopy and Chemometrics %V 51 %X The authentication of extra virgin olive oil and its adulteration with lower-priced oils are serious problems in the olive oil industry. In addition to the obvious effect on producer profits, adulteration can also cause severe health and safety problems. A number of techniques, including chromatographic and spectroscopic methods, have recently been employed to assess the purity of olive oils. In this study Raman spectroscopy together with multivariate and evolutionary computational-based methods have been employed to assess the ability of Raman spectroscopy to discriminate between chemically very closely related oils. Additionally, the levels of hazelnut oils used to adulterate extra virgin olive oil were successfully quantified using partial least squares and genetic programming.

@article{lopez-diez:2003:AFC, abstract = {The authentication of extra virgin olive oil and its adulteration with lower-priced oils are serious problems in the olive oil industry. In addition to the obvious effect on producer profits, adulteration can also cause severe health and safety problems. A number of techniques, including chromatographic and spectroscopic methods, have recently been employed to assess the purity of olive oils. In this study Raman spectroscopy together with multivariate and evolutionary computational-based methods have been employed to assess the ability of Raman spectroscopy to discriminate between chemically very closely related oils. Additionally, the levels of hazelnut oils used to adulterate extra virgin olive oil were successfully quantified using partial least squares and genetic programming.}, added-at = {2008-06-19T17:35:00.000+0200}, author = {Lopez-Diez, E. Consuelo and Bianchi, Giorgio and Goodacre, Royston}, biburl = {https://www.bibsonomy.org/bibtex/281cd22b7f31113bba1cc1b420157928a/brazovayeye}, doi = {doi:10.1021/jf034493d}, interhash = {42e8ff8860ec3a5452774336bbc28c0e}, intrahash = {81cd22b7f31113bba1cc1b420157928a}, journal = {Journal of Agricultural and Food Chemistry}, keywords = {Raman adulteration, algorithms, analysis, component genetic hazelnut least-squares oil, olive partial principal programming, quantification, regression spectroscopy,}, number = 21, pages = {6145--6150}, timestamp = {2008-06-19T17:45:51.000+0200}, title = {Rapid Quantitative Assessment of the Adulteration of Virgin Olive Oils with Hazelnut Oils Using Raman Spectroscopy and Chemometrics}, volume = 51, year = 2003 }