Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties
| Main Author: | |
|---|---|
| Publication Date: | 2020 |
| Other Authors: | , , , |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10198/22767 |
Summary: | In Portugal, sheep and goat meat production constitutes 2.8% of the total meat production, with a self-sufficiency of ~82%. The main autochthonous sheep breeds exploited for meat production are Churra-Galega-Bragançana (CGB) and Bordaleira-de-Entre-Douro-e-Minho (BEDM), whose quality must be optimised in order to ensure adequate income levels for sheep producers. The study aimed to characterise the evolution of spoilage microorganisms in refrigerated vacuum-packed (VP) lamb meat from BEDM and CGB breeds; and elucidate how intrinsic properties of meat can affect its microbial spoilage. Meat from BEDM breed presented higher (p<.0001) populations of mesophiles, lactic acid bacteria, Pseudomonas spp. and psychrotrophic bacteria, since its higher ultimate pH (means: 5.77 for BEDM vs. 5.58 for CGB) accelerated spoilage rate (p<.0001). While water activity and protein content were not found to modulate microbial deterioration (p>0.05), the growth of spoilage bacteria was found to be exacerbated by higher moisture (p<.0001) and higher ash content (p<0.001). By contrast, a higher fat content retarded (p<.0001) the growth of spoilage bacteria in VP lamb meat. In order to extend the shelf-life of Portuguese-origin lamb meat, animal handling must be enhanced to minimise pre-slaughter stress, and a carcass classification system should be adopted towards the selection of fatter animals and chilled carcasses of optimal ultimate pH. |
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Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic propertiesSheepLocal breedsProximate compositionpHLactic acid bacteriaPseudomonasIn Portugal, sheep and goat meat production constitutes 2.8% of the total meat production, with a self-sufficiency of ~82%. The main autochthonous sheep breeds exploited for meat production are Churra-Galega-Bragançana (CGB) and Bordaleira-de-Entre-Douro-e-Minho (BEDM), whose quality must be optimised in order to ensure adequate income levels for sheep producers. The study aimed to characterise the evolution of spoilage microorganisms in refrigerated vacuum-packed (VP) lamb meat from BEDM and CGB breeds; and elucidate how intrinsic properties of meat can affect its microbial spoilage. Meat from BEDM breed presented higher (p<.0001) populations of mesophiles, lactic acid bacteria, Pseudomonas spp. and psychrotrophic bacteria, since its higher ultimate pH (means: 5.77 for BEDM vs. 5.58 for CGB) accelerated spoilage rate (p<.0001). While water activity and protein content were not found to modulate microbial deterioration (p>0.05), the growth of spoilage bacteria was found to be exacerbated by higher moisture (p<.0001) and higher ash content (p<0.001). By contrast, a higher fat content retarded (p<.0001) the growth of spoilage bacteria in VP lamb meat. In order to extend the shelf-life of Portuguese-origin lamb meat, animal handling must be enhanced to minimise pre-slaughter stress, and a carcass classification system should be adopted towards the selection of fatter animals and chilled carcasses of optimal ultimate pH.Biblioteca Digital do IPBCadavez, VascoGonzales-Barron, UrsulaFélix-Oliveira, DiogoCoelho-Fernandes, SaraRodrigues, Gisela2020-10-01T16:37:34Z20202020-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/22767engCadavez, Vasco; Gonzales-Barron, Ursula; Félix-Oliveira, Diogo; Coelho-Fernandes, Sara; Rodrigues, Gisela (2020). Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties. In 11th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2020. p. 145-150. ISBN 978-949285913-6978-949285913-6info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:13:08Zoai:bibliotecadigital.ipb.pt:10198/22767Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:40:23.689347Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties |
| title |
Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties |
| spellingShingle |
Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties Cadavez, Vasco Sheep Local breeds Proximate composition pH Lactic acid bacteria Pseudomonas |
| title_short |
Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties |
| title_full |
Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties |
| title_fullStr |
Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties |
| title_full_unstemmed |
Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties |
| title_sort |
Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties |
| author |
Cadavez, Vasco |
| author_facet |
Cadavez, Vasco Gonzales-Barron, Ursula Félix-Oliveira, Diogo Coelho-Fernandes, Sara Rodrigues, Gisela |
| author_role |
author |
| author2 |
Gonzales-Barron, Ursula Félix-Oliveira, Diogo Coelho-Fernandes, Sara Rodrigues, Gisela |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
Biblioteca Digital do IPB |
| dc.contributor.author.fl_str_mv |
Cadavez, Vasco Gonzales-Barron, Ursula Félix-Oliveira, Diogo Coelho-Fernandes, Sara Rodrigues, Gisela |
| dc.subject.por.fl_str_mv |
Sheep Local breeds Proximate composition pH Lactic acid bacteria Pseudomonas |
| topic |
Sheep Local breeds Proximate composition pH Lactic acid bacteria Pseudomonas |
| description |
In Portugal, sheep and goat meat production constitutes 2.8% of the total meat production, with a self-sufficiency of ~82%. The main autochthonous sheep breeds exploited for meat production are Churra-Galega-Bragançana (CGB) and Bordaleira-de-Entre-Douro-e-Minho (BEDM), whose quality must be optimised in order to ensure adequate income levels for sheep producers. The study aimed to characterise the evolution of spoilage microorganisms in refrigerated vacuum-packed (VP) lamb meat from BEDM and CGB breeds; and elucidate how intrinsic properties of meat can affect its microbial spoilage. Meat from BEDM breed presented higher (p<.0001) populations of mesophiles, lactic acid bacteria, Pseudomonas spp. and psychrotrophic bacteria, since its higher ultimate pH (means: 5.77 for BEDM vs. 5.58 for CGB) accelerated spoilage rate (p<.0001). While water activity and protein content were not found to modulate microbial deterioration (p>0.05), the growth of spoilage bacteria was found to be exacerbated by higher moisture (p<.0001) and higher ash content (p<0.001). By contrast, a higher fat content retarded (p<.0001) the growth of spoilage bacteria in VP lamb meat. In order to extend the shelf-life of Portuguese-origin lamb meat, animal handling must be enhanced to minimise pre-slaughter stress, and a carcass classification system should be adopted towards the selection of fatter animals and chilled carcasses of optimal ultimate pH. |
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2020 |
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2020-10-01T16:37:34Z 2020 2020-01-01T00:00:00Z |
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info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10198/22767 |
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eng |
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eng |
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Cadavez, Vasco; Gonzales-Barron, Ursula; Félix-Oliveira, Diogo; Coelho-Fernandes, Sara; Rodrigues, Gisela (2020). Microbial deterioration of lamb meat of portuguese origin as affected by its intrinsic properties. In 11th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2020. p. 145-150. ISBN 978-949285913-6 978-949285913-6 |
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