A process risk model for the shelf life of Atlantic salmon fillets
The shelf life of Atlantic salmon (Salmo salar) portions produced for retail distribution is examined and the dominant aerobic spoilage organism is identified. Characterization of the harvesting and processing operations allow the development of a stochastic mathematical model, a process risk model...
Published in: | International Journal of Food Microbiology |
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Elsevier Science BV
2002
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Online Access: | https://doi.org/10.1016/S0168-1605(01)00687-0 http://www.ncbi.nlm.nih.gov/pubmed/11885573 http://ecite.utas.edu.au/23644 |
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ftunivtasecite:oai:ecite.utas.edu.au:23644 2023-05-15T15:31:54+02:00 A process risk model for the shelf life of Atlantic salmon fillets Rasmussen, SKJ Ross, T Olley, J McMeekin, TA 2002 https://doi.org/10.1016/S0168-1605(01)00687-0 http://www.ncbi.nlm.nih.gov/pubmed/11885573 http://ecite.utas.edu.au/23644 en eng Elsevier Science BV http://dx.doi.org/10.1016/S0168-1605(01)00687-0 Rasmussen, SKJ and Ross, T and Olley, J and McMeekin, TA, A process risk model for the shelf life of Atlantic salmon fillets, International Journal of Food Microbiology, 73, (1) pp. 47-60. ISSN 0168-1605 (2002) [Refereed Article] http://www.ncbi.nlm.nih.gov/pubmed/11885573 http://ecite.utas.edu.au/23644 Biological Sciences Microbiology Microbiology not elsewhere classified Refereed Article PeerReviewed 2002 ftunivtasecite https://doi.org/10.1016/S0168-1605(01)00687-0 2019-12-13T21:05:12Z The shelf life of Atlantic salmon (Salmo salar) portions produced for retail distribution is examined and the dominant aerobic spoilage organism is identified. Characterization of the harvesting and processing operations allow the development of a stochastic mathematical model, a process risk model (PRM), which predicts the range of the possible shelf life for the portions under normal retail and distribution. The considered risk is the failure to achieve the nominal 'use by' date. Bacterial counts from surface swabs, water, ice, and fish samples, collected over a period of 9 months, are fitted to distribution functions for use within the model. Comparisons are made between the distributions fitted to the observed bacterial levels and the predicted levels for the slurry water, initial surface contamination on the fish, and for the predicted and observed shelf life. Storage temperature of the packaged salmon portions has the greatest influence on shelf life, with contamination from contact surfaces and other sources being the next most important. The range of bacterial counts on the portions was between - 0.6 and 5 log 10 cfu/cm 2. The model predicts bacterial counts in the slurry water to have an average value of 3.36 log 10 cfu/ml, whereas the observed slurry water bacterial counts were 3.35 log 10 cfu/ml. The predicted average initial bacterial contamination is 3.31 log 10 cfu/cm 2 on the fish surface and 3.23 log 10 cfu/cm 2 on the observed. The average predicted shelf life is 6.5 days, compared to an observed value of 6.2 days at 4C. 2002 Elsevier Science B.V. All rights reserved. Article in Journal/Newspaper Atlantic salmon Salmo salar eCite UTAS (University of Tasmania) International Journal of Food Microbiology 73 1 47 60 |
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Open Polar |
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eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Biological Sciences Microbiology Microbiology not elsewhere classified |
spellingShingle |
Biological Sciences Microbiology Microbiology not elsewhere classified Rasmussen, SKJ Ross, T Olley, J McMeekin, TA A process risk model for the shelf life of Atlantic salmon fillets |
topic_facet |
Biological Sciences Microbiology Microbiology not elsewhere classified |
description |
The shelf life of Atlantic salmon (Salmo salar) portions produced for retail distribution is examined and the dominant aerobic spoilage organism is identified. Characterization of the harvesting and processing operations allow the development of a stochastic mathematical model, a process risk model (PRM), which predicts the range of the possible shelf life for the portions under normal retail and distribution. The considered risk is the failure to achieve the nominal 'use by' date. Bacterial counts from surface swabs, water, ice, and fish samples, collected over a period of 9 months, are fitted to distribution functions for use within the model. Comparisons are made between the distributions fitted to the observed bacterial levels and the predicted levels for the slurry water, initial surface contamination on the fish, and for the predicted and observed shelf life. Storage temperature of the packaged salmon portions has the greatest influence on shelf life, with contamination from contact surfaces and other sources being the next most important. The range of bacterial counts on the portions was between - 0.6 and 5 log 10 cfu/cm 2. The model predicts bacterial counts in the slurry water to have an average value of 3.36 log 10 cfu/ml, whereas the observed slurry water bacterial counts were 3.35 log 10 cfu/ml. The predicted average initial bacterial contamination is 3.31 log 10 cfu/cm 2 on the fish surface and 3.23 log 10 cfu/cm 2 on the observed. The average predicted shelf life is 6.5 days, compared to an observed value of 6.2 days at 4C. 2002 Elsevier Science B.V. All rights reserved. |
format |
Article in Journal/Newspaper |
author |
Rasmussen, SKJ Ross, T Olley, J McMeekin, TA |
author_facet |
Rasmussen, SKJ Ross, T Olley, J McMeekin, TA |
author_sort |
Rasmussen, SKJ |
title |
A process risk model for the shelf life of Atlantic salmon fillets |
title_short |
A process risk model for the shelf life of Atlantic salmon fillets |
title_full |
A process risk model for the shelf life of Atlantic salmon fillets |
title_fullStr |
A process risk model for the shelf life of Atlantic salmon fillets |
title_full_unstemmed |
A process risk model for the shelf life of Atlantic salmon fillets |
title_sort |
process risk model for the shelf life of atlantic salmon fillets |
publisher |
Elsevier Science BV |
publishDate |
2002 |
url |
https://doi.org/10.1016/S0168-1605(01)00687-0 http://www.ncbi.nlm.nih.gov/pubmed/11885573 http://ecite.utas.edu.au/23644 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_relation |
http://dx.doi.org/10.1016/S0168-1605(01)00687-0 Rasmussen, SKJ and Ross, T and Olley, J and McMeekin, TA, A process risk model for the shelf life of Atlantic salmon fillets, International Journal of Food Microbiology, 73, (1) pp. 47-60. ISSN 0168-1605 (2002) [Refereed Article] http://www.ncbi.nlm.nih.gov/pubmed/11885573 http://ecite.utas.edu.au/23644 |
op_doi |
https://doi.org/10.1016/S0168-1605(01)00687-0 |
container_title |
International Journal of Food Microbiology |
container_volume |
73 |
container_issue |
1 |
container_start_page |
47 |
op_container_end_page |
60 |
_version_ |
1766362396152037376 |