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rdf:type
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Description
| - Tea belongs to the most consumed beverages in the world. The taste and flavour of tea infusions are characterized by special features (e.g. greenish aroma, mellow taste) associated with a wide range of chemical components such as volatiles, caffeine, organic acids and polyphenols.[1] The quality and quantity of flavour compounds vary depending on both, the environmental conditions under which tea was grown, and the tea processing method classified by the degree of fermentation.[1, 2] The aim of this study was to use the fingerprints of volatile and semi-volatile components for the discrimination within the set of 52 teas (Thea sinensis) according to the origin and fermentation degree. For this purpose, solid-phase microextraction followed by gas chromatography and time-of-flight mass spectrometry (SPME/GC-TOFMS), as well as direct analysis in real time coupled with mass spectrometric detector (DART-MS), were used. The multivariate data analysis techniques, including principal components analysis (PCA) and linear discriminant analysis (LDA), were used for data processing. The created database has potential to be successfully employed in the authentication of tea origin.
- Tea belongs to the most consumed beverages in the world. The taste and flavour of tea infusions are characterized by special features (e.g. greenish aroma, mellow taste) associated with a wide range of chemical components such as volatiles, caffeine, organic acids and polyphenols.[1] The quality and quantity of flavour compounds vary depending on both, the environmental conditions under which tea was grown, and the tea processing method classified by the degree of fermentation.[1, 2] The aim of this study was to use the fingerprints of volatile and semi-volatile components for the discrimination within the set of 52 teas (Thea sinensis) according to the origin and fermentation degree. For this purpose, solid-phase microextraction followed by gas chromatography and time-of-flight mass spectrometry (SPME/GC-TOFMS), as well as direct analysis in real time coupled with mass spectrometric detector (DART-MS), were used. The multivariate data analysis techniques, including principal components analysis (PCA) and linear discriminant analysis (LDA), were used for data processing. The created database has potential to be successfully employed in the authentication of tea origin. (en)
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Title
| - DISCRIMINATING AMONG TEAS BY SPME/GC TOFMS AND DART-MS ANALYSIS
- DISCRIMINATING AMONG TEAS BY SPME/GC TOFMS AND DART-MS ANALYSIS (en)
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skos:prefLabel
| - DISCRIMINATING AMONG TEAS BY SPME/GC TOFMS AND DART-MS ANALYSIS
- DISCRIMINATING AMONG TEAS BY SPME/GC TOFMS AND DART-MS ANALYSIS (en)
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skos:notation
| - RIV/60461373:22330/11:43892965!RIV12-MSM-22330___
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http://linked.open...avai/predkladatel
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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...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/60461373:22330/11:43892965
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - DART-MS; SPME/GC-TOFMS; volatiles; Tea (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceeding of the 1st International Congress of Cocoa, Coffee and Tea
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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
| - Hajšlová, Jana
- Hradecký, Jaromír
- Přinosilová, Šárka
- Riddellová, Kateřina
- Stejskalová, Eva
- Čajka, Tomáš
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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