Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature: From in silico to in vivo.

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Food Research International

• Publication date

  2016-11-01

• Fields of study

  Biology, Medicine, Computer Science, Environmental Science

• Identifiers
  DOI 10.1016/j.foodres.2016.08.001PMID 28460967
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• On the effect of sampling rate and experimental noise in the discrimination between microbial growth models in the suboptimal temperature range

  2016cited by this paper
• Optimal experimental design for discriminating between microbial growth models as function of suboptimal temperature.

  2014cited by this paper
• Modeling microbial kinetics as a function of temperature: Evaluation of dynamic experiments to identify the growth/inactivation interface

  2012cited by this paper
• Modeling growth rates as a function of temperature: model performance evaluation with focus on the suboptimal temperature range.

  2012cited by this paper
• Optimal experiment design for dynamic bioprocesses: A multi-objective approach

  2012cited by this paper
• Modeling growth rates as a function of temperature: model performance evaluation with focus on the suboptimal temperature range.

  2012cited by this paper
• Design of dynamic experiments for discrimination between models for microbial growth kinetics as a function of temperature

  2012cited by this paper
• Predictive modelling of Salmonella: From cell cycle measurements to e-models

  2012cited by this paper
• An ideal point method for the design of compromise experiments to simultaneously estimate the parameters of rival mathematical models

  2010cited by this paper
• Fast Pareto set generation for nonlinear optimal control problems with multiple objectives

  2010cited by this paper
• Simultaneous versus sequential optimal experiment design for the identification of multi-parameter microbial growth kinetics as a function of temperature.

  2010cited by this paper
• An anticipatory approach to optimal experimental design for model discrimination

  2009influential reference
• Recent developments in parameter estimation and structure identification of biochemical and genomic systems.

  2009cited by this paper
• Sequential experimental design for model discrimination: Taking into account the posterior covariance matrix of differences between model predictions

  2008influential reference
• Accurate estimation of cardinal growth temperatures of Escherichia coli from optimal dynamic experiments.

  2008cited by this paper
• Quantitative Microbial Ecology of Food

  2005cited by this paper
• T‐optimum designs for discrimination between two multiresponse dynamic models

  2005cited by this paper
• Predictive Microbiology - Quantitative Microbial Ecology Culture - March 2004

  2004cited by this paper
• On the design of optimally informative dynamic experiments for model discrimination in multiresponse nonlinear situations

  2003cited by this paper
• Model selection and multimodel inference : a practical information-theoretic approach

  2003cited by this paper
• Modelling the effects of temperature, water activity, pH and lactic acid concentration on the growth rate of Escherichia coli.

  2003cited by this paper
• Modelling the growth kinetics of Listeria as a function of temperature, pH and organic acid concentration.

  2002influential reference
• Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems

  1998cited by this paper
• Identification of Parametric Models: from Experimental Data

  1997influential reference
• The particular behaviour of Listeria monocytogenes under sub-optimal conditions.

  1996cited by this paper
• Validation of a model for predicting the combined effect of three environmental factors on both exponential and lag phases of bacterial growth: temperature, salt concentration and pH

  1995cited by this paper
• A dynamic approach to predicting bacterial growth in food.

  1994cited by this paper
• An unexpected correlation between cardinal temperatures of microbial growth highlighted by a new model.

  1993cited by this paper
• Modeling of bacterial growth as a function of temperature

  1991cited by this paper
• Numerical parameter identifiability and estimability: Integrating identifiability, estimability, and optimal sampling design

  1985cited by this paper
• Model for bacterial culture growth rate throughout the entire biokinetic temperature range

  1983cited by this paper
• The design of experiments for discriminating between two rival models

  1975cited by this paper
• Designs for Discriminating Between Two Rival Models

  1965cited by this paper

• Effect of Acheta domesticus Powder Incorporation on Nutritional Composition, Technological Properties, and Sensory Acceptance of Wheat Bread

  2025cites this paper
• Evaluation and validation criteria for kinetic models in food science: A critical review

  2024cites this paper
• Growth of Clostridium perfringens in cooked chicken during cooling: One-step dynamic inverse analysis, sensitivity analysis, and Markov Chain Monte Carlo simulation.

  2020cites this paper
• Dynamic analysis of growth of Salmonella spp. in raw ground beef – Estimation of kinetic parameters, sensitivity analysis, and Markov Chain Monte Carlo simulation

  2020cites this paper
• On the use of in-silico simulations to support experimental design: A case study in microbial inactivation of foods

  2019cites this paper
• Guidelines for the design of (optimal) isothermal inactivation experiments.

  2019cites this paper
• Definitive Screening Designs and latent variable modelling for the optimization of solid phase microextraction (SPME): Case study - Quantification of volatile fatty acids in wines

  2018cites this paper
• Optimal characterization of thermal microbial inactivation simulating non-isothermal processes.

  2018cites this paper
• Model-based design of experiments in the presence of structural model uncertainty: an extended information matrix approach

  2018cites this paper
• Introducing a novel interaction model structure for the combined effect of temperature and pH on the microbial growth rate.

  2017cites this paper