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rdf:type
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Description
| - The aim of the presented work was to differentiate between two important coffee varieties - arabica and robusta by means of chemical analyses of sterolic fraction of 13 model and 14 commercial roasted coffee samples. After the extraction of the coffee oil, the lipids have been saponified and sterols converted into trimethyl silyl derivatives and analysed by gas chromatography with MS detection. For the evaluation of authenticity of coffee samples several statistical approaches multilinear regression, principal component analyses a cluster analyses) were used. Δ5-avenasterol was found to be the chemical descriptor with the highest contribution to the model and the following correlation equation was achieved: percentage of arabica in coffee = 117 - 11.1 x percentage of Δ5-avenasterol in total sterols, with a high correlation coefficient (R2= 0.98) and accuracy (RSD= 7.9 %). The method was applied to the determination of the arabica/robusta composition of commercial roasted coffee samples.
- The aim of the presented work was to differentiate between two important coffee varieties - arabica and robusta by means of chemical analyses of sterolic fraction of 13 model and 14 commercial roasted coffee samples. After the extraction of the coffee oil, the lipids have been saponified and sterols converted into trimethyl silyl derivatives and analysed by gas chromatography with MS detection. For the evaluation of authenticity of coffee samples several statistical approaches multilinear regression, principal component analyses a cluster analyses) were used. Δ5-avenasterol was found to be the chemical descriptor with the highest contribution to the model and the following correlation equation was achieved: percentage of arabica in coffee = 117 - 11.1 x percentage of Δ5-avenasterol in total sterols, with a high correlation coefficient (R2= 0.98) and accuracy (RSD= 7.9 %). The method was applied to the determination of the arabica/robusta composition of commercial roasted coffee samples. (en)
- Cílem práce byl vývoj metody umožňující rozlišení Arabiky a Robusty na základě stanovení sterolové frakce. (cs)
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Title
| - Differentiation of coffee varieties according to their sterolic profile
- Differentiation of coffee varieties according to their sterolic profile (en)
- Rozlišení kávy na základě stanovení profilu sterolů (cs)
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skos:prefLabel
| - Differentiation of coffee varieties according to their sterolic profile
- Differentiation of coffee varieties according to their sterolic profile (en)
- Rozlišení kávy na základě stanovení profilu sterolů (cs)
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skos:notation
| - RIV/60461373:22330/07:00019070!RIV08-MSM-22330___
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http://linked.open.../vavai/riv/strany
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...iv/cisloPeriodika
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/60461373:22330/07:00019070
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - coffee; arabica; robusta; authenticity; sterols, gas chromatography, multilinear regression, principal component analysis, cluster analysis (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...odStatuVydavatele
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http://linked.open...ontrolniKodProRIV
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http://linked.open...i/riv/nazevZdroje
| - Journal of Food and Nutrition research
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Voldřich, Michal
- Ševčík, Rudolf
- Čížková, Helena
- Soukupová, Veronika
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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