Skip to main content
ARS Home » Northeast Area » Wyndmoor, Pennsylvania » Eastern Regional Research Center » Residue Chemistry and Predictive Microbiology Research » Research » Publications at this Location » Publication #337232

Research Project: Development of Predictive Microbial Models for Food Safety using Alternate Approaches

Location: Residue Chemistry and Predictive Microbiology Research

Title: Dynamic identification of growth and survival kinetic parameters of microorganisms in foods

Author
item Huang, Lihan

Submitted to: Current Opinion in Food Science
Publication Type: Review Article
Publication Acceptance Date: 1/30/2017
Publication Date: 2/10/2017
Citation: Huang, L. 2017. Dynamic identification of growth and survival kinetic parameters of microorganisms in foods. Current Opinion in Food Science. 14:85-92.

Interpretive Summary:

Technical Abstract: Inverse analysis is a mathematical method used in predictive microbiology to determine the kinetic parameters of microbial growth and survival in foods. The traditional approach in inverse analysis relies on isothermal experiments that are time-consuming and labor-intensive, and errors are accumulated and propagated in each step of data collection and analysis. One-step dynamic analysis is a new mathematical method that directly constructs a tertiary model and determines the kinetic parameters from dynamic experiments. This method is accurate and efficient, and can replace the traditional method for inverse analysis in predictive microbiology.