title: A process risk model for the shelf life of Atlantic salmon fillets.
abstract: 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 log10 cfu/cm2. The model predicts bacterial counts in the slurry water to have an average value of 3.36 log10 cfu/ml, whereas the observed slurry water bacterial counts were 3.35 log10 cfu/ml. The predicted average initial bacterial contamination is 3.31 log10 cfu/cm2 on the fish surface and 3.23 log10 cfu/cm2 on the observed. The average predicted shelf life is 6.5 days, compared to an observed value of 6.2 days at 4 degrees C.
authors.affiliation: School of Agricultural Science, University of Tasmania, Hobart, Australia. svenr@southcom.com.au
authors.forename: S K J
authors.initials: SK
authors.lastname: Rasmussen
authors.forename: T
authors.initials: T
authors.lastname: Ross
authors.forename: J
authors.initials: J
authors.lastname: Olley
authors.forename: T
authors.initials: T
authors.lastname: McMeekin
mesh_terms: D000818:Animals; D001419:Bacteria / Q000145:classification / Q000187:drug effects / Q000254:growth & development*; D002713:Chlorine / Q000494:pharmacology; D015169:Colony Count, Microbial; D005506:Food Contamination / Q000032:analysis* / Q000517:prevention & control; D005516:Food Microbiology; D005519:Food Preservation; D008954:Models, Biological; D009016:Moraxella / Q000187:drug effects / Q000254:growth & development / Q000302:isolation & purification; D011549:Pseudomonas / Q000187:drug effects / Q000254:growth & development / Q000302:isolation & purification; D012307:Risk Factors; D020317:Salmo salar / Q000382:microbiology*; D017747:Seafood / Q000382:microbiology*; D013696:Temperature; D013997:Time Factors; D014871:Water Microbiology
chemical_list: D002713:Chlorine