Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/28530
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dc.contributor.authorPolshin, Evgenypt_PT
dc.contributor.authorRudnitskaya, Alisapt_PT
dc.contributor.authorKirsanov, Dmitriypt_PT
dc.contributor.authorLegin, Andreypt_PT
dc.contributor.authorSaison, Daanpt_PT
dc.contributor.authorDelvaux, Filippt_PT
dc.contributor.authorDelvaux, Freddy R.pt_PT
dc.contributor.authorNicolaï, Bart M.pt_PT
dc.contributor.authorLammertyn, Jeroenpt_PT
dc.date.accessioned2020-05-18T10:23:11Z-
dc.date.available2020-05-18T10:23:11Z-
dc.date.issued2010-04-15-
dc.identifier.issn0039-9140pt_PT
dc.identifier.urihttp://hdl.handle.net/10773/28530-
dc.description.abstractAn electronic tongue (ET) comprising 18 potentiometric chemical sensors was applied to the quantitative analysis of beer. Fifty Belgian and Dutch beers of different types were measured using the ET. The same samples were analyzed using conventional analytical techniques with respect to the main physicochemical parameters. Only non-correlated physicochemical parameters were retained for further analysis, which were real extract, real fermentation degree, alcohol content, pH, bitterness, color, polyphenol and CO(2) content. Relationship between the ET and physicochemical datasets was studied using Canonical Correlation Analysis (CCA). Four significant canonical variates were extracted using CCA. Correlation was observed between 6 physicochemical variables (real extract and fermentation degree, bitterness, pH, alcohol and polyphenols' content) and 14 sensors of the ET. The feasibility of the ET for the quantification of bitterness in beer was evaluated in the aqueous solutions of isomerized hop extract and in the set of 11 beers with bitterness varying between 14 and 38 EBU (European Bitterness Units). Sensors displayed good sensitivity to isomerized hop extract and good prediction of the bitterness in beer was obtained. Calibration models with respect to the physicochemical parameters using ET measurements in 50 Belgian and Dutch beer samples were calculated by Partial Least Square regression. The ET was capable of predicting such parameters as real extract, alcohol and polyphenol content and bitterness, the latter with Root Mean Square Error of Prediction (RMSEP) of 2.5.pt_PT
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.rightsrestrictedAccesspt_PT
dc.subjectElectronic tonguept_PT
dc.subjectPotentiometric sensorspt_PT
dc.subjectBeerpt_PT
dc.subjectBitternesspt_PT
dc.subjectIso-α-acidspt_PT
dc.subjectPartial least square regressionpt_PT
dc.titleElectronic tongue as a screening tool for rapid analysis of beerpt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage88pt_PT
degois.publication.issue1-2pt_PT
degois.publication.lastPage94pt_PT
degois.publication.titleTalantapt_PT
degois.publication.volume81pt_PT
dc.identifier.doi10.1016/j.talanta.2009.11.041pt_PT
dc.identifier.essn1873-3573pt_PT
Appears in Collections:CESAM - Artigos
DQ - Artigos

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