Practical Methods in Predictive Food Microbiology

This book introduces comprehensive, up-to-date theories, methods, and practical approaches commonly encountered in predictive food microbiology. It covers the basic science of predictive microbiology and provides hands-on illustrations and techniques of experimental design, data analysis, model development, and practical applications of predictive food microbiology. Basic methods for data analysis, including principles of regression analysis, linear and nonlinear, are showcased as well as the new USDA Integrated Pathogen Modeling Program (IPMP), an all-in-one data analysis and model development suite.