Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method

Detalhes bibliográficos
Autor(a) principal: Freitas, Jorge
Data de Publicação: 2019
Outros Autores: Vaz-Pires, Paulo, Câmara, José S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.13/4680
Resumo: 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.
id RCAP_a8d710003df89bbb34ae0ab385c4c0c0
oai_identifier_str oai:digituma.uma.pt:10400.13/4680
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index methodGreater amberjackSeriola dumeriliFreshnessShelf-lifeQIMSensory analysisPhysicochemical analysisMicrobial analysis.Faculdade de Ciências Exatas e da EngenhariaCentro de Química da MadeiraFish 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.MDPIDigitUMaFreitas, JorgeVaz-Pires, PauloCâmara, José S.2022-10-03T13:46:40Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.13/4680engFreitas 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/molecules2419353010.3390/molecules24193530info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-17T05:58:15Zoai:digituma.uma.pt:10400.13/4680Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:11:23.763222Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
title Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
spellingShingle Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
Freitas, Jorge
Greater amberjack
Seriola dumerili
Freshness
Shelf-life
QIM
Sensory analysis
Physicochemical analysis
Microbial analysis
.
Faculdade de Ciências Exatas e da Engenharia
Centro de Química da Madeira
title_short Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
title_full Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
title_fullStr Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
title_full_unstemmed Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
title_sort Freshness assessment and shelf-life prediction for Seriola dumerili from aquaculture based on the quality index method
author Freitas, Jorge
author_facet Freitas, Jorge
Vaz-Pires, Paulo
Câmara, José S.
author_role author
author2 Vaz-Pires, Paulo
Câmara, José S.
author2_role author
author
dc.contributor.none.fl_str_mv DigitUMa
dc.contributor.author.fl_str_mv Freitas, Jorge
Vaz-Pires, Paulo
Câmara, José S.
dc.subject.por.fl_str_mv Greater amberjack
Seriola dumerili
Freshness
Shelf-life
QIM
Sensory analysis
Physicochemical analysis
Microbial analysis
.
Faculdade de Ciências Exatas e da Engenharia
Centro de Química da Madeira
topic Greater amberjack
Seriola dumerili
Freshness
Shelf-life
QIM
Sensory analysis
Physicochemical analysis
Microbial analysis
.
Faculdade de Ciências Exatas e da Engenharia
Centro de Química da Madeira
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2022-10-03T13:46:40Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.13/4680
url http://hdl.handle.net/10400.13/4680
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 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
10.3390/molecules24193530
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799130569641033728