TY  - BOOK
AU  - Rodríguez,Fernando Pérez
AU  - Jiménez,Elena Carrasco
AU  - Diaz,Antonio Valero
TI  - Predictive Modelling in Food
SN  - 9781527539990
AV  - QR115 .P743 2019 
U1  - 576.163 
PY  - 2019///
CY  - Newcastle-upon-Tyne
PB  - Cambridge Scholars Publishing
KW  - Food-Microbiology-Congresses
KW  - Food industry and trade-Safety measures-Congresses
KW  - Electronic books
N1  - Intro -- Contents -- Preface -- The Organising Committee of the ICPMF10 -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- Chapter 9 -- Chapter 10 -- References -- Biographical Sketches of Book Editors
N2  - 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
UR  - https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=5899705
ER  -