Abstract Bochothrix thermosphacta is an optional aerobic psychrotrophic related to the meat deterioration and consequently loss of a refrigerated cargo contaminated. Predictive microbiology can be used as a quality assurance tool, since it allows the prediction of microbial response based in pass observations. This work aimed model the growth of B. thermosphacta under variation of pH and temperature. For this purpose, the experimental growth data were fitted to the primary models of Baranyi and Roberts and the modified Gompertz model and the data for the maximum rate of growth (μmax) were adjusted to Ratkowsky extended secondary model. The results showed us that the influence of temperature on growth parameters was more evident than pH. Since, by fixing the temperature the change of pH little altered the μmax. However, as the temperature rises the elevation at the μmax is considerable, for example the comparison of predicted values for μmax, when the temperature exceeds 4 °C to 12 °C, it is clear that these rates are more than double. Finally, it is emphasized that all tested models feature good fit to the experimental data, which makes them validated for prediction growth of B. thermosphacta in the same conditions tested experimentally.

Abstract Meat is one of the most perishable foods owing to its nutrient availability, high water activity, and pH around 5.6. These properties are highly conducive for microbial growth. Fresh meat, when exposed to oxygen, is subjected to the action of aerobic psychrotrophic, proteolytic, and lipolytic spoilage microorganisms, such as Pseudomonas spp. The spoilage results in the appearance of slime and off-flavor in food. In order to predict the growth of Pseudomonas fluorescens in fresh meat at different pH values, stored under refrigeration, and temperature abuse, microbial mathematical modeling was applied. The primary Baranyi and Roberts and the modified Gompertz models were fitted to the experimental data to obtain the growth parameters. The Ratkowsky extended model was used to determine the effect of pH and temperature on the growth parameter µmax. The program DMFit 3.0 was used for model adjustment and fitting. The experimental data showed good fit for both the models tested, and the primary and secondary models based on the Baranyi and Roberts models showed better validation. Thus, these models can be applied to predict the growth of P. fluorescens under the conditions tested.

A Análise de Modos e Efeitos de Falha (AMEF) é um método de análise de produto ou processo para detectar e eliminar problemas potenciais de forma sistemática e completa. Os abatedouros levam a significativos impactos sobre o meio ambiente, sendo que o maior problema nesses processos é a falta de equipamentos modernos para promover a remoção de gases fétidos e efluentes tóxicos. O objetivo deste trabalho foi elaborar os formulários de aplicação do FMEA em um frigorífico de médio porte da região de Poços de Caldas (MG), o qual realiza abates de bovinos e suínos, cujo intuito foi diagnosticar os potenciais riscos gerados pelo frigorífico, e aos controles ambientais exercidos em relação à linha de abate e graxaria. Observou-se que a indústria frigorífica representa um grande potencial poluidor sobre os efluentes naturais, pois o sangue resultante do abate é um agente de grande impacto sobre o ecossistema hídrico.

The Failure Mode and Effect Analysis (FMEA) is a method of product or process analysis to detect and eliminate potential problems in a systematic and complete way. The abattoirs lead to significant impacts on the environment, which the major problem in those processes is the lack of modern equipment to promote the removal of malodorous gases and toxic effluents. The aim of this study was to elaborate the FMEA application forms in a medium-sized abattoir in the region of Poços de Caldas (MG), which performs the cattle and pig slaughter, with the purpose of diagnosing its potential risks caused, and the environmental controls exercised in relation to the slaughter line and rendering plant. It was observed that the meat industry represents a great potential pollution on the natural effluents, because the resulting blood of the slaughter is an agent of great impact on the water ecosystem.