Publication
Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
dc.contributor.author | Freitas, Jorge | |
dc.contributor.author | Vaz-Pires, Paulo | |
dc.contributor.author | Câmara, José S. | |
dc.date.accessioned | 2022-10-03T13:46:40Z | |
dc.date.available | 2022-10-03T13:46:40Z | |
dc.date.issued | 2019 | |
dc.description.abstract | Fish and fish-based products are easily perishable foods due to different factors, including fragile organization, abundant endo-enzymes, psychrophilic bacteria, and impact of pre-harvest operations, that contribute to reducing its value. Therefore, a timely effective method for fish freshness and shelf-life evaluation is important. In this context, this study aimed to develop a sensory scheme based on the Quality Index Method (QIM) (sensory table and point system) for freshness monitorization and shelf-life prediction for Seriola dumerili from aquaculture in Madeira Island. Evaluation of appearance, texture, eyes, and gills was performed during 20 days of storage on ice (0 ± 1 ◦C). The shelf-life prediction was supported by the analysis of microorganisms (total viable colonies, TVC, counts), texture (Torrymeter), and production of trimethylamine (TMA), evaluated by HS-SPME–GC–MS and validated according to Association of Official Analytical Chemists AOAC guidelines. The result is a QIM scheme with 25 demerit points, where zero indicates total freshness. From the integration of sensory analysis, microbial growth at the time of rejection (TVC, 108 cfu/cm2 and H2S producers, 107 cfu/cm2 ), texture (Torrymeter value < 8), and TMA analyses (>12.5 mg/100 g), shelf-life was estimated as 12 days (±0.5 days). The obtained results show the high-throughput potential of the developed method for fish freshness assessment and shelf-life prediction. This QIM scheme is a secure way to measure quality and provide users with a reliable standardized fish freshness measure. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Freitas J, Vaz-Pires P, Câmara JS. Freshness Assessment and Shelf-Life Prediction for Seriola dumerili from Aquaculture Based on the Quality Index Method. Molecules. 2019; 24(19):3530. https://doi.org/10.3390/molecules24193530 | pt_PT |
dc.identifier.doi | 10.3390/molecules24193530 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.13/4680 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | MDPI | pt_PT |
dc.relation | Madeira Chemistry Research Centre | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Greater amberjack | pt_PT |
dc.subject | Seriola dumerili | pt_PT |
dc.subject | Freshness | pt_PT |
dc.subject | Shelf-life | pt_PT |
dc.subject | QIM | pt_PT |
dc.subject | Sensory analysis | pt_PT |
dc.subject | Physicochemical analysis | pt_PT |
dc.subject | Microbial analysis | pt_PT |
dc.subject | . | pt_PT |
dc.subject | Faculdade de Ciências Exatas e da Engenharia | pt_PT |
dc.subject | Centro de Química da Madeira | |
dc.title | Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardTitle | Madeira Chemistry Research Centre | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FQUI%2F00674%2F2019/PT | |
oaire.citation.issue | 19 | pt_PT |
oaire.citation.startPage | 3530 | pt_PT |
oaire.citation.title | Molecules | pt_PT |
oaire.citation.volume | 24 | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Freitas | |
person.familyName | Câmara | |
person.givenName | Jorge | |
person.givenName | José | |
person.identifier | G-3003-2013 | |
person.identifier.ciencia-id | E413-C848-1D51 | |
person.identifier.ciencia-id | 481C-08CE-90E5 | |
person.identifier.orcid | 0000-0003-4350-0526 | |
person.identifier.orcid | 0000-0003-1965-3151 | |
person.identifier.rid | B-5416-2019 | |
person.identifier.scopus-author-id | 10140393000 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 2872276a-24f1-4e02-ba38-27445de6871a | |
relation.isAuthorOfPublication | e10d78be-e547-4d25-92b5-06a997ed78da | |
relation.isAuthorOfPublication.latestForDiscovery | e10d78be-e547-4d25-92b5-06a997ed78da | |
relation.isProjectOfPublication | 0e558baa-fee7-4f1c-b713-f79ed1581567 | |
relation.isProjectOfPublication.latestForDiscovery | 0e558baa-fee7-4f1c-b713-f79ed1581567 |
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