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Metabolomics: an effective tool for authentication of spelt flour?

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22330%2F22%3A43925252" target="_blank" >RIV/60461373:22330/22:43925252 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Metabolomics: an effective tool for authentication of spelt flour?

  • Popis výsledku v původním jazyce

    The food authenticity, the confirmation of declaration on the packaging, or the detection of adulteration, is a challenging process for modern analytical chemistry. One of the commodities that can be a target for fraudulent practices is spelt wheat (Triticum spelta), especially in the form of spelt flour. The cultivation of spelt wheat is more demanding, compared to the well-known common wheat. Due to the more problematic cultivation, mainly lower yields, spelt wheat is a more expensive commodity than other common wheat varieties of the genus Triticum (e.g. Triticum aestivum L.). This fact may tempt fraudulent producers to partially replace spelt wheat with cheaper wheat variety in milling products, i.e. flour.There are several analytical approaches to detect these dishonest practices and thus control the authenticity of spelt flour. However, the situation is rather complicated because of the significant genetic relatedness of both types of wheat (Triticum spelta and Triticum aestivum L.), and therefore methods based on the analysis of genetic information are less effective. One of the promising possibilities is the use of a metabolomic approach employing liquid chromatography coupled to high-resolution mass spectrometry as a very effective tool and subsequent processing of the obtained data using advanced chemometric analyses.In the initial phase of this pilot study, 10 flour samples were analyzed, including 6 authentic spelt flour samples and 4 authentic wheat flour samples. Two approaches were chosen for sample extraction, the first aimed at the isolation of rather non-polar substances using a mixture of dichloromethane : methanol (50 : 50, v / v), and the second aimed at the extraction of polar substances with a mixture of methanol : water (80 : 20, v / v). The separation was carried out by liquid chromatography on a reversed-phase system coupled to high-resolution mass spectrometry. The data were acquired in positive and negative ionization modes and processed by principal component analysis and partial least square discriminant analysis. Chemometric data processing showed very promising results in this initial phase, when the samples were separated and classified into two different groups and at the same time, the characteristic compounds for both types of wheat were identified. These markers will be further verified on a larger set of samples and the smallest possible detectable addition of wheat (Triticum aestivum L.) to spelt flour will be determined.

  • Název v anglickém jazyce

    Metabolomics: an effective tool for authentication of spelt flour?

  • Popis výsledku anglicky

    The food authenticity, the confirmation of declaration on the packaging, or the detection of adulteration, is a challenging process for modern analytical chemistry. One of the commodities that can be a target for fraudulent practices is spelt wheat (Triticum spelta), especially in the form of spelt flour. The cultivation of spelt wheat is more demanding, compared to the well-known common wheat. Due to the more problematic cultivation, mainly lower yields, spelt wheat is a more expensive commodity than other common wheat varieties of the genus Triticum (e.g. Triticum aestivum L.). This fact may tempt fraudulent producers to partially replace spelt wheat with cheaper wheat variety in milling products, i.e. flour.There are several analytical approaches to detect these dishonest practices and thus control the authenticity of spelt flour. However, the situation is rather complicated because of the significant genetic relatedness of both types of wheat (Triticum spelta and Triticum aestivum L.), and therefore methods based on the analysis of genetic information are less effective. One of the promising possibilities is the use of a metabolomic approach employing liquid chromatography coupled to high-resolution mass spectrometry as a very effective tool and subsequent processing of the obtained data using advanced chemometric analyses.In the initial phase of this pilot study, 10 flour samples were analyzed, including 6 authentic spelt flour samples and 4 authentic wheat flour samples. Two approaches were chosen for sample extraction, the first aimed at the isolation of rather non-polar substances using a mixture of dichloromethane : methanol (50 : 50, v / v), and the second aimed at the extraction of polar substances with a mixture of methanol : water (80 : 20, v / v). The separation was carried out by liquid chromatography on a reversed-phase system coupled to high-resolution mass spectrometry. The data were acquired in positive and negative ionization modes and processed by principal component analysis and partial least square discriminant analysis. Chemometric data processing showed very promising results in this initial phase, when the samples were separated and classified into two different groups and at the same time, the characteristic compounds for both types of wheat were identified. These markers will be further verified on a larger set of samples and the smallest possible detectable addition of wheat (Triticum aestivum L.) to spelt flour will be determined.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

  • OECD FORD obor

    10700 - Other natural sciences

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/LM2018100" target="_blank" >LM2018100: Infrastruktura pro propagaci metrologie v potravinářství a výživě v České republice</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2022

  • Kód důvěrnosti údajů

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