Publikace detail

Statistical evaluation of triacylglycerol composition by HPLC/APCI-MS

Autoři: Holčapek Michal | Lísa Miroslav

Rok: 2009

Druh publikace: článek v odborném periodiku

Název zdroje: Lipid Technology

Název nakladatele: Wiley-VCH

Místo vydání: Weinheim

Strana od-do: 261-265

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
cze
eng	Statistical evaluation of triacylglycerol composition by HPLC/APCI-MS	The statistical evaluation of triacylglycerol profiles in plant oils based on HPLC/MS analysis permits differentiation based on the multidimensional data matrix. The data set of 93 oils from 60 plants composed from 355 triacylglycerols is evaluated using the principal component analysis (PCA). Similarities among some plant oils are visualized by the formation of clusters in the PCA plot. The authentication of plant oils is tested with model samples of olive oil adulterated with sunflower oil at different concentration levels. Our HPLC/MS method using the statistical multivariate data analysis of large data matrix enables a clear identification of adulterated olive oils from 1% of added sunflower oil as an adulterant.	triacylglycerols;HPLC/APCI-MS

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