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Author: Antonio Valero Diaz Publisher: Cambridge Scholars Publishing ISBN: 1527539997 Category : Business & Economics Languages : en Pages : 184
Book Description
This volume brings together papers detailing the latest advances in the field of predictive microbiology in foods presented at the 10th International Conference on Predictive Modelling in Food, held in Córdoba, Spain, in 2016. Predictive microbiology is a scientific area providing mathematical models to predict microbial behaviour in the food environment, providing valuable tools for food risk managers, food scientists and the food industry as a whole. The book introduces the reader to the most used and recognized modelling techniques for food, providing a thorough overview of this discipline and establishing the basis for future investigations. It is presented as a compendium of several high-quality research studies developed across the world, representing a unique contribution to the field as it shows recent discoveries and new trends of modelling in food and risk assessment. The most innovative methods, such as the use of genomic information for risk assessment and the application of quantitative risk assessment technology for foodborne pathogenic microorganisms, are also included here.
Author: Antonio Valero Diaz Publisher: Cambridge Scholars Publishing ISBN: 1527539997 Category : Business & Economics Languages : en Pages : 184
Book Description
This volume brings together papers detailing the latest advances in the field of predictive microbiology in foods presented at the 10th International Conference on Predictive Modelling in Food, held in Córdoba, Spain, in 2016. Predictive microbiology is a scientific area providing mathematical models to predict microbial behaviour in the food environment, providing valuable tools for food risk managers, food scientists and the food industry as a whole. The book introduces the reader to the most used and recognized modelling techniques for food, providing a thorough overview of this discipline and establishing the basis for future investigations. It is presented as a compendium of several high-quality research studies developed across the world, representing a unique contribution to the field as it shows recent discoveries and new trends of modelling in food and risk assessment. The most innovative methods, such as the use of genomic information for risk assessment and the application of quantitative risk assessment technology for foodborne pathogenic microorganisms, are also included here.
Author: Fernando Perez-Rodriguez Publisher: Springer Science & Business Media ISBN: 1461455200 Category : Technology & Engineering Languages : en Pages : 132
Book Description
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.
Author: Thomas Alexander McMeekin Publisher: Wiley-Blackwell ISBN: Category : Science Languages : en Pages : 368
Book Description
Four authors with backgrounds in food microbiology, food chemistry, mathematics, and statistics, explain how techniques of predictive microbiology can allow an objective evaluation of the effects of processing, distribution, and storage on the microbiological safety and quality of foods. The trick is to understand the microbial ecology of a process or of a food at a particular point in the chain, then use mathematical relationships between microbial growth and the expected environmental conditions, to predict the growth or survival of selected organisms. Annotation copyright by Book News, Inc., Portland, OR
Author: Max Kuhn Publisher: Springer Science & Business Media ISBN: 1461468493 Category : Medical Languages : en Pages : 595
Book Description
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.
Author: Micha Peleg Publisher: CRC Press ISBN: 1420005375 Category : Technology & Engineering Languages : en Pages : 457
Book Description
Presenting a novel view of the quantitative modeling of microbial growth and inactivation patterns in food, water, and biosystems, Advanced Quantitative Microbiology for Foods and Biosystems: Models for Predicting Growth and Inactivation describes new models for estimating microbial growth and survival. The author covers traditional and alte
Author: Ali Demirci Publisher: Springer Nature ISBN: 3030426602 Category : Technology & Engineering Languages : en Pages : 754
Book Description
Food Safety Engineering is the first reference work to provide up-to-date coverage of the advanced technologies and strategies for the engineering of safe foods. Researchers, laboratory staff and food industry professionals with an interest in food engineering safety will find a singular source containing all of the needed information required to understand this rapidly advancing topic. The text lays a solid foundation for solving microbial food safety problems, developing advanced thermal and non-thermal technologies, designing food safety preventive control processes and sustainable operation of the food safety preventive control processes. The first section of chapters presents a comprehensive overview of food microbiology from foodborne pathogens to detection methods. The next section focuses on preventative practices, detailing all of the major manufacturing processes assuring the safety of foods including Good Manufacturing Practices (GMP), Hazard Analysis and Critical Control Points (HACCP), Hazard Analysis and Risk-Based Preventive Controls (HARPC), food traceability, and recalls. Further sections provide insights into plant layout and equipment design, and maintenance. Modeling and process design are covered in depth. Conventional and novel preventive controls for food safety include the current and emerging food processing technologies. Further sections focus on such important aspects as aseptic packaging and post-packaging technologies. With its comprehensive scope of up-to-date technologies and manufacturing processes, this is a useful and first-of-its kind text for the next generation food safety engineering professionals.
Author: Anderson de Souza Sant'Ana Publisher: John Wiley & Sons ISBN: 1118756428 Category : Technology & Engineering Languages : en Pages : 611
Book Description
Microorganisms are essential for the production of many foods, including cheese, yoghurt, and bread, but they can also cause spoilage and diseases. Quantitative Microbiology of Food Processing: Modeling the Microbial Ecology explores the effects of food processing techniques on these microorganisms, the microbial ecology of food, and the surrounding issues concerning contemporary food safety and stability. Whilst literature has been written on these separate topics, this book seamlessly integrates all these concepts in a unique and comprehensive guide. Each chapter includes background information regarding a specific unit operation, discussion of quantitative aspects, and examples of food processes in which the unit operation plays a major role in microbial safety. This is the perfect text for those seeking to understand the quantitative effects of unit operations and beyond on the fate of foodborne microorganisms in different foods. Quantitative Microbiology of Food Processing is an invaluable resource for students, scientists, and professionals of both food engineering and food microbiology.
Author: Jeanne-Marie Membré Publisher: Elsevier ISBN: 008100981X Category : Technology & Engineering Languages : en Pages : 104
Book Description
Predictive microbiology primarily deals with the quantitative assessment of microbial responses at a macroscopic or microscopic level, but also involves the estimation of how likely an individual or population is to be exposed to a microbial hazard.This book provides an overview of the major literature in the area of predictive microbiology, with a special focus on food. The authors tackle issues related to modeling approaches and their applications in both microbial spoilage and safety.Food spoilage is presented through applications of best-before-date determination and commercial sterility. Food safety is presented through applications of risk-based safety management. The different modeling aspects are introduced through probabilistic and stochastic approaches, including model and data uncertainty, but also biological variability. - Features an extensive review of modelling terminology - Presents examples of all available microbial models (i.e., growth, inactivation, growth/no growth) and applicable software - Revisits all statistical aspects related to exposure assessment - Describes realistic examples of implementing microbial spoilage and safety modeling approaches
Author: Philippe Dantigny Publisher: Nova Science Publishers ISBN: 9781619426757 Category : Fungal metabolites Languages : en Pages : 0
Book Description
This book is the first state-of-the-art review that focuses on modelling fungal development in foods, an emerging field in the last decade. The objective of this book is to understand and to predict the development of fungi in food and raw materials and also the production and accumulation of secondary metabolites throughout the food chain.
Author: Fernando Pérez-Rodríguez Publisher: CRC Press ISBN: 1498762034 Category : Science Languages : en Pages : 547
Book Description
Risk assessment has been extensively developed in several scientific fields, such as environmental science, economics, and civil engineering, among others. In the aftermath of the SPS and GATT agreements on the use of risk analysis framework in food trade, signed in the 1990s, international organisations and governments adopted risk assessment as a science-based process to ensure food safety along the food chain. The food industry can also benefit from the use of this approach for food process optimisation and quality assurance. Risk Assessment Methods for Biological and Chemical Hazards in Food introduces the reader to quantitative risk assessment methods encompassing general concepts to specific applications to biological and chemical hazards in foods. In the first section, the book presents food risk assessment as methodology and addresses, more specifically, new trends and approaches such as the development of risk rating methods, risk metrics, risk-benefit assessment studies and quality assessment methods. Section II is dedicated to biological hazards. This section identifies the most relevant biological hazards along the food chain and provides an overview on the types of predictive microbiology models used to describe the microbial response along the food chain. Chapter 12 specifically deals with cross contamination and the quantitative methods that can be applied to describe this relevant microbial process. The development and application of dose-response models (i.e. mathematical function describing the relationship between pathogen dose and health response) are also covered in this section. In Section III, the book translates risk assessment concepts into the area of chemical hazards, defining the process steps to determine chemical risk and describing the uncertainty and variability sources associated with chemicals. Key Features: Presents new trends and approaches in the field of risk assessment in foods Risk assessment concepts are illustrated by practical examples in the food sector Discusses how quantitative information and models are integrated in a quantitative risk asssment framework Provides examples of applications of quantitative chemical risk assessment in risk management The book, written by renowned experts in their field, is a comprehensive collection of quantitative methods and approaches applied to risk assessment in foods. It can be used as an extensive guide for food safety practitioners and researchers to perform quantitative risk assessment in foods
Author: Antonio Valero Diaz
Author: Antonio Valero Diaz
Author: Fernando Perez-Rodriguez
Author: Thomas Alexander McMeekin
Author: Max Kuhn
Author: Micha Peleg
Author: Ali Demirci
Author: Anderson de Souza Sant'Ana
Author: Jeanne-Marie Membré
Author: Philippe Dantigny
Author: Fernando Pérez-Rodríguez