Quantitative Methods for Microbial Food Safety – Application of Predictive Microbiolog скачать в хорошем качестве

Quantitative Methods for Microbial Food Safety – Application of Predictive Microbiolog

Predictive microbiology emerged as an active area of research in food microbiology in late 1980s, with a motivation to use mathematical models to describe the growth and survival of microorganisms in foods during processing, storage, and distribution. After more than 30 years of research and development, significant progress has been made in microbial predictive modeling in foods. Different types of models, from empirical to mechanistic, have been proposed and tested in order to apply the models for microbial shelf-life prediction and food safety decision-making. Many application tools, available online or on desktop, have been developed for use by the food industry and regulatory agencies. This talk will try to summarize and discuss the most recent developments and will use the USDA Integrated Pathogen Modeling Program (USDA-IPMP) to demonstrate the basic concepts of predictive microbiology, including primary and secondary models and methodologies for model development and estimation of model parameters. The talk will also introduce one-step kinetic analysis using the USDA IPMP-Global Fit, another advanced tool developed for predictive modeling. It is the hope of this talk that more students will be interested in studying predictive microbiology and applying it to enhance the safety of food supply. Palestrante: Dr. Lihan Huang, Research Leader, USDA Agricultural Research Service, Eastern Regional Research Center United States