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Registro Completo |
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
24/04/2023 |
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Data da última atualização: |
24/04/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CÊ, E. R.; GIOMBELLI, A.; KICH, J. D.; MORESCO, K. S.; MIRANDA, A.; PEDRÃO, M. R.; JOHANN, G.; BADARÓ, A. C. L.; HASHIMOTO, E. H.; MACHADO-LUNKES, A. |
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Afiliação: |
ELTON RODRIGO CÊ, Universidade Tecnológica Federal do Paraná/Francisco Beltrão; AUDECIR GIOMBELLI, Universidade Federal de Minas Gerais; JALUSA DEON KICH, CNPSA; KARLA SUZANA MORESCO, Universidade Federal da Fronteira Sul/Realeza-PR; ANDRESA MIRANDA, Universidade Tecnológica Federal do Paraná/Francisco Beltrão; MAYKA REGHIANY PEDRÃO, Universidade Tecnológica Federal do Paraná/Francisco Beltrão; GRACIELLE JOHANN; ANDRÉA CÁTIA LEAL BADARÓ; ELISABETE HIROMI HASHIMOTO; ALESSANDRA MACHADO-LUNKES. |
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Título: |
Monitoring of pig slaughter stages and correlation in the prevalence of pathogens and levels of microorganisms that indicate microbiological quality and hygiene using a predictive model. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Journal of Food Protection, v. 86, n. 100034, 2023. |
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DOI: |
https://doi.org/10.1016/j.jfp.2022.100034 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Pig production is relevant to the Brazilian economy. Different stages of the raising and slaughtering process influence the microbiological quality of pig products and by?products. Microbiological analysis and hazard analysis and critical control points (HACCPs) are tools for monitoring microbiological quality indicator microorganisms. The construction of predictive models can assist the process of monitoring the microbiological quality of pig products. This study aimed to map the slaughter stages and develop a model to predict the absence or presence of Salmonella based on the process variables (distance from the farm to the slaughterhouse and aerobic mesophilic) and analyze their influence on contamination indicator microorganisms. A total of 810 samples were collected at nine stages of the slaughter process (bleeding, scalding, dehairing, singeing, washing, evisceration, inspection, final washing, and chilling). The binary class predictive model was used as a microbiological quality predictor at the slaughter stages. Salmonella was identified at all process stages, with lower contamination levels at the scalding and chilling stages, whereas the highest levels were found at the dehairing and bleeding stages. The predictive model revealed an accuracy of about 85% for Salmonella being a tool to monitor the microbiological quality of pig slaughter. |
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Palavras-Chave: |
Aerobic mesophiles; Mesófilos aeróbicos. |
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Thesagro: |
Abate; Escherichia Coli; Salmonella; Suíno. |
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Thesaurus Nal: |
Enterobacteriaceae; Swine. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02435naa a2200337 a 4500
001 2153311
005 2023-04-24
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.jfp.2022.100034$2DOI
100 1 $aCÊ, E. R.
245 $aMonitoring of pig slaughter stages and correlation in the prevalence of pathogens and levels of microorganisms that indicate microbiological quality and hygiene using a predictive model.$h[electronic resource]
260 $c2023
520 $aAbstract: Pig production is relevant to the Brazilian economy. Different stages of the raising and slaughtering process influence the microbiological quality of pig products and by?products. Microbiological analysis and hazard analysis and critical control points (HACCPs) are tools for monitoring microbiological quality indicator microorganisms. The construction of predictive models can assist the process of monitoring the microbiological quality of pig products. This study aimed to map the slaughter stages and develop a model to predict the absence or presence of Salmonella based on the process variables (distance from the farm to the slaughterhouse and aerobic mesophilic) and analyze their influence on contamination indicator microorganisms. A total of 810 samples were collected at nine stages of the slaughter process (bleeding, scalding, dehairing, singeing, washing, evisceration, inspection, final washing, and chilling). The binary class predictive model was used as a microbiological quality predictor at the slaughter stages. Salmonella was identified at all process stages, with lower contamination levels at the scalding and chilling stages, whereas the highest levels were found at the dehairing and bleeding stages. The predictive model revealed an accuracy of about 85% for Salmonella being a tool to monitor the microbiological quality of pig slaughter.
650 $aEnterobacteriaceae
650 $aSwine
650 $aAbate
650 $aEscherichia Coli
650 $aSalmonella
650 $aSuíno
653 $aAerobic mesophiles
653 $aMesófilos aeróbicos
700 1 $aGIOMBELLI, A.
700 1 $aKICH, J. D.
700 1 $aMORESCO, K. S.
700 1 $aMIRANDA, A.
700 1 $aPEDRÃO, M. R.
700 1 $aJOHANN, G.
700 1 $aBADARÓ, A. C. L.
700 1 $aHASHIMOTO, E. H.
700 1 $aMACHADO-LUNKES, A.
773 $tJournal of Food Protection$gv. 86, n. 100034, 2023.
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Embrapa Suínos e Aves (CNPSA) |
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| 1. |  | OLIVEIRA, S. R. de M.; CABRAL, M. I. C.; FERNEDA, E.; BRASILEIRO, M. A. G. ALLOS: a tool to solve markovian models. In: INTERNATIONAL CONFERENCE APPLIED MODELLING, SIMULATION AND OPTIMIZATION, 1995, Cancun, Mexico. Proceedings... Anaheim, CA: IASTED-Acta Press, 1995. p. 53-57.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 4. | | OLIVEIRA, S. R. de M.; CABRAL, M. I. C.; FERNEDA, E.; BRASILEIRO, M. A. G. Conception and development of a tool to model and solve markovian models. In: INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY, 15., 1995, Arica, Chile. Proceedings... Santiago: Sociedad Chilena de Ciencia de la Computacion, 1995. p. 351-360. Editado por Nivio Ziviani, Jose Piquer, Berthier Ribeiro e Ricardo Baeza-Yates.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 5 | |
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