Predicting food safety using systems approach

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

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-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 languageEnglish
Title of host publicationFood Safety and Toxicology
Subtitle of host publicationPresent and Future Perspectives
Publisherde Gruyter
Pages387-404
Number of pages18
ISBN (Electronic)9783110748345
ISBN (Print)9783110748338
DOIs
Publication statusPublished - 1 Jan 2023

ASJC Scopus subject areas

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

Fingerprint

Dive into the research topics of 'Predicting food safety using systems approach'. Together they form a unique fingerprint.

Cite this