Tracing the geographical origin of honeys based on volatile compounds profiles assessment using pattern recognition techniques
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F09%3A00022386" target="_blank" >RIV/60461373:22330/09:00022386 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22330/10:00024326
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Tracing the geographical origin of honeys based on volatile compounds profiles assessment using pattern recognition techniques
Original language description
The goal of this study was to examine the possibility of verifying the geographical origin of honeys based on the profiles of volatile compounds. A head-space solid phase microextraction (SPME) combined with comprehensive two-dimensional gas chromatography?time-of-flight mass spectrometry (GCxGC--TOFMS) was used to analyze the volatiles in honeys with various geographical and floral origins. Once the analytical data were collected, supervised pattern recognition techniques were applied to construct classification/discrimination rules to predict the origin of samples on the basis of their profiles of volatile compounds. Specifically, linear discriminant analysis (LDA), soft independent modeling of class analogies (SIMCA), discriminant partial least squares (DPLS) and support vector machines (SVM) with the recently proposed Pearson VII universal kernel (PUK) were used in our study to discriminate between Corsican and non-Corsican honeys. Although DPLS and LDA provided models with high se
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
GM - Food industry
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Food Chemistry
ISSN
0308-8146
e-ISSN
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Volume of the periodical
118
Issue of the periodical within the volume
1
Country of publishing house
BE - BELGIUM
Number of pages
6
Pages from-to
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UT code for WoS article
000270492500027
EID of the result in the Scopus database
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