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Metabolomics as an effective tool for authenticity assessment of lingonberries (Vaccinium vitis-idaea)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F16%3A43903604" target="_blank" >RIV/60461373:22330/16:43903604 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Metabolomics as an effective tool for authenticity assessment of lingonberries (Vaccinium vitis-idaea)

  • Original language description

    Lingonberries (Vaccinium vitis-idaea) belong among the most popular berries in Central and Northern Europe as well as in Baltic countries. They represent a valuable source of bioactive compounds, especially polyphenols. The phytochemicals contained in lingonberries have been shown to have a positive influence on human health due to their significant antioxidant anti-inflammatory effects. For this reason, lingonberries are used in a number of different forms in the human diet: fresh, frozen, dried, or as a component of teas / food supplements dedicated for prevention of Urinary Tract Infection (UTI). Recently, several suspicions of lingonberries-based products adulteration has been reported; Vaccinium vitis-idaea berries have been partially or even totally replaced by less valued cranberries (Vaccinium macrocarpon) grown mainly in North America. Therefore, development of analytical methods for the detection of such fraud and assessment of authenticity of Vaccinium berries has become important. Although PCR methods may provide solution, these are not available in routine laboratories focused on food analysis. On this account, alternative analytical strategies have to be searched. In this study, metabolomic fingerprinting employing instrumental platform consisting of ultra-high performance liquid chromatography coupled to high resolution tandem mass spectrometry (HPLC-HRMS/MS) has been investigated. The unsupervised pattern recognition techniques, PCA and supervised pattern recognition techniques, PLS-DA and OPLS-DA, revealed significant differences between components in prepared extracts of lingonberries and cranberries. More pronounced clustering was found for both polar extracts in positive and negative ionization modes. Phenolic compounds (catechin, flavonoid glycosides and anthocyanins) and polar lipids (phosphatidylcholines) were identified as the most significant markers responsible for lingonberries and cranberries differentiation.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    GM - Food industry

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/QJ1530272" target="_blank" >QJ1530272: Complex strategies for effective detection of food fraud in the chain production-consumer</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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