Statistical evaluation of triacylglycerol composition by HPLC/APCI-MS

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25310%2F09%3A00008478" target="_blank" >RIV/00216275:25310/09:00008478 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Statistical evaluation of triacylglycerol composition by HPLC/APCI-MS

Original language description

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 usingthe 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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

CB - Analytical chemistry, separation

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Lipid Technology

ISSN

0956-666X

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

11/12

Country of publishing house

DE - GERMANY

Number of pages

5

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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