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Protein–polyphenol interaction on silica beads for astringency tests based on eye, photography or reflectance detection modes

dc.contributor.authorGuerreiro, J. Rafaela L.
dc.contributor.authorSutherland, Duncan S.
dc.contributor.authorFreitas, Victor De
dc.contributor.authorSales, M. Goreti F.
dc.date.accessioned2015-10-16T13:57:43Z
dc.date.available2015-10-16T13:57:43Z
dc.date.issued2013
dc.description.abstractAstringency is an organoleptic property of beverages and food products resulting mainly from the interaction of salivary proteins with dietary polyphenols. It is of great importance to consumers, but the only effective way of measuring it involves trained sensorial panellists, providing subjective and expensive responses. Concurrent chemical evaluations try to screen food astringency, by means of polyphenol and protein precipitation procedures, but these are far from the real human astringency sensation where not all polyphenol–protein interactions lead to the occurrence of precipitate. Here, a novel chemical approach that tries to mimic protein–polyphenol interactions in the mouth is presented to evaluate astringency. A protein, acting as a salivary protein, is attached to a solid support to which the polyphenol binds (just as happens when drinking wine), with subsequent colour alteration that is fully independent from the occurrence of precipitate. Employing this simple concept, Bovine Serum Albumin (BSA) was selected as the model salivary protein and used to cover the surface of silica beads. Tannic Acid (TA), employed as the model polyphenol, was allowed to interact with the BSA on the silica support and its adsorption to the protein was detected by reaction with Fe(III) and subsequent colour development. Quantitative data of TA in the samples were extracted by colorimetric or reflectance studies over the solid materials. The analysis was done by taking a regular picture with a digital camera, opening the image file in common software and extracting the colour coordinates from HSL (Hue, Saturation, Lightness) and RGB (Red, Green, Blue) colour model systems; linear ranges were observed from 10.6 to 106.0 μmol L−1. The latter was based on the Kubelka–Munk response, showing a linear gain with concentrations from 0.3 to 10.5 μmol L−1. In either of these two approaches, semi-quantitative estimation of TA was enabled by direct eye comparison. The correlation between the levels of adsorbed TA and the astringency of beverages was tested by using the assay to check the astringency of wines and comparing these to the response of sensorial panellists. Results of the two methods correlated well. The proposed sensor has significant potential as a robust tool for the quantitative/semi-quantitative evaluation of astringency in wine.pt_PT
dc.identifier.doi10.1039/C3AY26478E
dc.identifier.urihttp://hdl.handle.net/10400.22/6730
dc.language.isoengpt_PT
dc.publisherRoyal Society of Chemistrypt_PT
dc.relation.publisherversionhttp://pubs.rsc.org/en/content/articlelanding/2013/ay/c3ay26478e#!divAbstractpt_PT
dc.titleProtein–polyphenol interaction on silica beads for astringency tests based on eye, photography or reflectance detection modespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2703pt_PT
oaire.citation.startPage2694pt_PT
oaire.citation.titleAnalytical Methodspt_PT
oaire.citation.volume5pt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT

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