Predictive Microbiology: New Trends of Food Safety and Quality in Food Processing Systems

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Food Microbiology".

Deadline for manuscript submissions: 15 November 2024 | Viewed by 39

Special Issue Editors


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Guest Editor
Microbial and Chemical Food Safety, USDA-ARS, Washington, DC, USA
Interests: food safety microbiology; predictive modeling; minimally processed foods

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Guest Editor Assistant
Kerry Ingredients, R&D Scientist, Food Protection & Preservation, Kerry, Beloit, WI 53511, USA
Interests: food safety; predictive modelling; preservation technologies

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Guest Editor Assistant
Industrial Engineering Technology, Missouri Southern State University, Joplin, MO, USA
Interests: food safety; food microbiology; predictive modeling; foodborne pathogens; environmental monitoring; traceability; supply chain; risk analysis

Special Issue Information

Dear Colleagues,

This edition aims to showcase the recent developments in predictive modelling for the enhancement of food processing systems' safety and quality. The predictive microbial models can be used to develop precise interventions for the control of pathogenic and spoilage microorganisms in food products. This edition will focus on predictive models, including kinetic, probability, empirical, and mechanistic models. By leveraging predictive modelling, food processors can drastically reduce the time required for challenge studies, enabling rapid identification of potential foodborne contamination and solutions.

Therefore, we are pleased to invite researchers to contribute to a Special Issue on Predictive Microbiology: New Trends of Food Safety and Quality in Food Processing Systems. We are calling for papers on the following research topics with a focus on predictive modelling:

  1. Evaluating the impact of biotic and abiotic factors such as temperature, pH, moisture, and nutrient availability on the survival, growth, and inactivation of pathogenic and spoilage microorganisms;
  2. Quantitative risk assessment techniques;
  3. Investigation of thermal and non-thermal intervention technologies to reduce the risks associated with the microbial contamination in foods;
  4. Development and validation of primary, secondary, and tertiary predictive models;
  5. Exploring the potential of machine learning techniques in predictive microbiology;
  6. Case studies on practical applications of predictive models to estimate food safety and quality.

Dr. Vijay K. Juneja
Guest Editor

Dr. Surabhi Wason
Dr. Priyanka Gupta
Guest Editor Assistants

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Foods is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • predictive modelling
  • antimicrobial interventions
  • risk assessment
  • combination models
  • pathogen control

Published Papers

This special issue is now open for submission.
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