Bøger af Fernando Perez-Rodriguez

Predictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significantly in the last 20 years due to the emergence of powerful computational resources and sophisticated statistical packages. This book presents the concepts, models, most significant advances, and future trends in predictive microbiology. It will discuss the history and basic concepts of predictive microbiology. The most frequently used models will be explained, and the most significant software and databases (e.g., Combase, Sym'Previus) will be reviewed. Quantitative Risk Assessment, which uses predictive modeling to account for the transmission of foodborne pathogens across the food chain, will also be covered.

As a result of the recent international agreements on the use of Risk Analysis framework, international organization and governments have adopted risk assessment as a science-based process to ensure food safety in the food chain. This book introduces risk assessment methods considering both general aspects and specific ones to the type of hazard, that is, biological and chemical hazards. In addition, specific sections are intended to show more technical details on key elements of risk assessment such as separation of uncertainty and variability or application of sensitivity analysis. Specific examples are given to show readers how risk assessment techniques can be applied in practice.

As a result of the recent international agreements on the use of Risk Analysis framework, international organization and governments have adopted risk assessment as a science-based process to ensure food safety in the food chain. This book introduces risk assessment methods considering both general aspects and specific ones to the type of hazard, that is, biological and chemical hazards. In addition, specific sections are intended to show more technical details on key elements of risk assessment such as separation of uncertainty and variability or application of sensitivity analysis. Specific examples are given to show readers how risk assessment techniques can be applied in practice.