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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    GM - Food industry

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • 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

  • UT code for WoS article

    000270492500027

  • EID of the result in the Scopus database