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Ensuring Fresh Produce Safety and Quality by Utilizing Predictive Growth Models and Predictive Microbiology Software Tools

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Quantitative Methods for Food Safety and Quality in the Vegetable Industry

Part of the book series: Food Microbiology and Food Safety ((PRACT))

Abstract

Outbreaks of foodborne illnesses related to the consumption of fresh produce have been occurring all over the world. Quantitative microbial risk assessment (QMRA) for fresh produce will contribute to enhance microbiological safety of production, distribution, and consumption of fresh produce. This chapter describes the prevalence of contamination of fresh produce, possible route of pathogen contamination, and pathogen behavior on fresh produce during distribution. Predictive models and also web-based predictive tools described here will be useful for QMRA as an underpinning knowledge.

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Author information

Authors and Affiliations

  1. Hokkaido University, Sapporo, Japan

    Shigenobu Koseki

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  1. Shigenobu Koseki
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Correspondence to Shigenobu Koseki .

Editor information

Editors and Affiliations

  1. Department of Food Science and Technology, International Campus of Excellence in the AgriFood Sector (CeiA3), University of Cordoba, Córdoba, Spain

    Fernando Pérez-Rodríguez

  2. Food Science and Human Nutrition, Agricultural University of Athens, Athens, Greece

    Panagiotis Skandamis

  3. Food Sciences and Nutrition, University of Malta, Msida, Malta

    Vasilis Valdramidis

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Koseki, S. (2018). Ensuring Fresh Produce Safety and Quality by Utilizing Predictive Growth Models and Predictive Microbiology Software Tools. In: Pérez-Rodríguez, F., Skandamis, P., Valdramidis, V. (eds) Quantitative Methods for Food Safety and Quality in the Vegetable Industry. Food Microbiology and Food Safety(). Springer, Cham. https://doi.org/10.1007/978-3-319-68177-1_10

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