Title of article :
Blends of olive oil and sunflower oil: Characterisation and olive oil quantification using fatty acid composition and chemometric tools
Author/Authors :
Monfreda، نويسنده , , M. E. Gobbi، نويسنده , , L. and Grippa، نويسنده , , A.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
8
From page :
2283
To page :
2290
Abstract :
A method capable of recognising the percentage of olive oil in a blend is required to verify whether its labelling complies with the statements set out by the Commission Regulation (EC) No. 1019/2002. In this study an analytical methodology was developed in order to define blends of olive oil and sunflower oil, which contain 50% of olive oil, compared to blends with 40% and 60% of it, respectively. Methyl esters of fatty acids were analysed by GC–FID and processed through chemometric tools (PCA, TFA, SIMCA and PLS). A strong differentiation of blends according to the amount of olive oil contained and a quantification model with a standard error of prediction of 1.51% were obtained. As this issue represents a significant analytical challenge, variability associated with the fatty acid composition of olive oil was first studied.
Keywords :
blend , Soft independent models of class analogy , Target factor analysis , partial least squares , Principal component analysis , olive oil
Journal title :
Food Chemistry
Serial Year :
2012
Journal title :
Food Chemistry
Record number :
1969859
Link To Document :
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