About: Recognition of beer brand based on multivariate analysis of volatile fingerprint

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Automated head-space solid-phase microextraction (HS-SPME)-based sampling procedure, coupled to gas chromatography?time-of-flight mass spectrometry (GC?TOFMS), was developed and employed for obtaining of fingerprints (GC profiles) of beer volatiles. In total, 265 speciality beer samples were collected over a 1-year period with the aim to distinguish, based on analytical (profiling) data, (i) the beers labelled as Rochefort 8; (ii) a group consisting of Rochefort 6, 8, 10 beers; and (iii) Trappist beers. For the chemometric evaluation of the data, partial least squares discriminant analysis (PLS-DA), linear discriminant analysis (LDA), and artificial neural networks with multilayer perceptrons (ANN-MLP) were tested. The best prediction ability was obtained for the model that distinguished a group of Rochefort 6, 8, 10 beers from the rest of beers. In this case, all chemometric tools employed provided 100% correct classification. Slightly worse prediction abilities were achieved for the models ?Trappist Automated head-space solid-phase microextraction (HS-SPME)-based sampling procedure, coupled to gas chromatography?time-of-flight mass spectrometry (GC?TOFMS), was developed and employed for obtaining of fingerprints (GC profiles) of beer volatiles. In total, 265 speciality beer samples were collected over a 1-year period with the aim to distinguish, based on analytical (profiling) data, (i) the beers labelled as Rochefort 8; (ii) a group consisting of Rochefort 6, 8, 10 beers; and (iii) Trappist beers. For the chemometric evaluation of the data, partial least squares discriminant analysis (PLS-DA), linear discriminant analysis (LDA), and artificial neural networks with multilayer perceptrons (ANN-MLP) were tested. The best prediction ability was obtained for the model that distinguished a group of Rochefort 6, 8, 10 beers from the rest of beers. In this case, all chemometric tools employed provided 100% correct classification. Slightly worse prediction abilities were achieved for the models ?Trappist (en)
Title	Recognition of beer brand based on multivariate analysis of volatile fingerprint Recognition of beer brand based on multivariate analysis of volatile fingerprint (en)
skos:prefLabel	Recognition of beer brand based on multivariate analysis of volatile fingerprint Recognition of beer brand based on multivariate analysis of volatile fingerprint (en)
skos:notation	RIV/60461373:22330/10:00024323!RIV11-MSM-22330___
http://linked.open...avai/riv/aktivita	R Z
http://linked.open...avai/riv/aktivity	R, Z(MSM6046137305)
http://linked.open...iv/cisloPeriodika	25
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Tomaniová, Monika Čajka, Tomáš Riddellová, Kateřina Hajšlová, Jana
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola chemicko-technologická v Praze / Fakulta potravinářské a biochemické technologie
http://linked.open...dnocenehoVysledku	284192
http://linked.open...ai/riv/idVysledku	RIV/60461373:22330/10:00024323
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Beer; Authenticity; Head-space solid-phase microextraction; Gas chromatography; Mass spectrometry; Direct analysis in real time; Multivariate analysis (en)
http://linked.open.../riv/klicoveSlovo	Head-space solid-phase microextraction Mass spectrometry Gas chromatography Multivariate analysis Authenticity Beer Direct analysis in real time
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[ACE3C3215991]
http://linked.open...i/riv/nazevZdroje	Journal of Chromatography A
http://linked.open...in/vavai/riv/obor	GM
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...v/svazekPeriodika	1217
http://linked.open...iv/tvurceVysledku	Hajšlová, Jana Tomaniová, Monika Čajka, Tomáš Riddelová, Kateřina
http://linked.open...ain/vavai/riv/wos	000278779000028
http://linked.open...n/vavai/riv/zamer	Teoretické základy potravinářských a biochemických technologií
issn	0021-9673
number of pages	9 (xsd:int)
http://localhost/t...ganizacniJednotka	22330
is http://linked.open...avai/riv/vysledek of	Recognition of beer brand based on multivariate analysis of volatile fingerprint Recognition of beer brand based on multivariate analysis of volatile fingerprint Recognition of beer brand based on multivariate analysis of volatile fingerprint

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