Predicting food safety using systems approach

Ajibola B. Oyedeji; Ezekiel Green; Olufemi P. Sotayo; Celestina Omohimi; Olalekan J. Odukoya; Oluwafemi A. Adebo

doi:10.1515/9783110748345-019

Predicting food safety using systems approach

Ajibola B. Oyedeji, Ezekiel Green, Olufemi P. Sotayo, Celestina Omohimi, Olalekan J. Odukoya, Oluwafemi A. Adebo

Biotechnology and Food Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, we revisited the different system approaches to predicting the growth, survival and enumeration of microorganisms that have food safety implications. Different established mathematical and statistical approaches, including kinetic modeling, response surface methodology as well as emerging predictive approaches such as artificial neural networks and Bayesian network are being used to understand the effect of pathogenic microorganisms on foods and predict their effects in foods. Since these applications are mathematical in nature, it is important to maintain constant environmental conditions and also validate the models to confirm their applicability.

Original language	English
Title of host publication	Food Safety and Toxicology
Subtitle of host publication	Present and Future Perspectives
Publisher	de Gruyter
Pages	387-404
Number of pages	18
ISBN (Electronic)	9783110748345
ISBN (Print)	9783110748338
DOIs	https://doi.org/10.1515/9783110748345-019
Publication status	Published - 1 Jan 2023

ASJC Scopus subject areas

General Biochemistry,Genetics and Molecular Biology
General Chemistry
General Pharmacology, Toxicology and Pharmaceutics
General Immunology and Microbiology
General Engineering
General Chemical Engineering
General Agricultural and Biological Sciences

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AU - Green, Ezekiel

AU - Sotayo, Olufemi P.

AU - Omohimi, Celestina

AU - Odukoya, Olalekan J.

AU - Adebo, Oluwafemi A.

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Predicting food safety using systems approach

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ASJC Scopus subject areas

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