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An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations

Variability in the behavior of microbial foodborne pathogens and spoilers causes difficulties in predicting the safety and quality of food products during their shelf life. Therefore, the quantification of the individual microbial lag phase distribution is of high relevance to the field of quantitat...

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Autores principales: Akkermans, Simen, Van Impe, Jan F. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600314/
https://www.ncbi.nlm.nih.gov/pubmed/34803943
http://dx.doi.org/10.3389/fmicb.2021.725499
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author Akkermans, Simen
Van Impe, Jan F. M.
author_facet Akkermans, Simen
Van Impe, Jan F. M.
author_sort Akkermans, Simen
collection PubMed
description Variability in the behavior of microbial foodborne pathogens and spoilers causes difficulties in predicting the safety and quality of food products during their shelf life. Therefore, the quantification of the individual microbial lag phase distribution is of high relevance to the field of quantitative microbial risk assessment. To construct models that predict the effect of changes in environmental conditions on the individual lag, an accurate determination of these distributions is required. Therefore, the current research focuses on the development of an experimental and computational method for accurate determination of individual lag phase distribution. The experimental method is unique in the sense that full liquid volumes are sampled without using dilutions to detect the final population, thereby minimizing experimental errors. Moreover, the method does not aim at the isolation of single cells but at a low number of cells. The fact that several cells can be present in the initial samples instead of having a single cell is considered by the computational method. This method relies on Monte Carlo simulation to predict the individual lag phase distribution for a given set of distribution parameters and maximum likelihood estimation to find the parameters that describe the experimental data best. The method was validated both through simulation and experiments and was found to deliver a desired accuracy.
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spelling pubmed-86003142021-11-19 An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations Akkermans, Simen Van Impe, Jan F. M. Front Microbiol Microbiology Variability in the behavior of microbial foodborne pathogens and spoilers causes difficulties in predicting the safety and quality of food products during their shelf life. Therefore, the quantification of the individual microbial lag phase distribution is of high relevance to the field of quantitative microbial risk assessment. To construct models that predict the effect of changes in environmental conditions on the individual lag, an accurate determination of these distributions is required. Therefore, the current research focuses on the development of an experimental and computational method for accurate determination of individual lag phase distribution. The experimental method is unique in the sense that full liquid volumes are sampled without using dilutions to detect the final population, thereby minimizing experimental errors. Moreover, the method does not aim at the isolation of single cells but at a low number of cells. The fact that several cells can be present in the initial samples instead of having a single cell is considered by the computational method. This method relies on Monte Carlo simulation to predict the individual lag phase distribution for a given set of distribution parameters and maximum likelihood estimation to find the parameters that describe the experimental data best. The method was validated both through simulation and experiments and was found to deliver a desired accuracy. Frontiers Media S.A. 2021-11-04 /pmc/articles/PMC8600314/ /pubmed/34803943 http://dx.doi.org/10.3389/fmicb.2021.725499 Text en Copyright © 2021 Akkermans and Van Impe. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Akkermans, Simen
Van Impe, Jan F. M.
An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations
title An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations
title_full An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations
title_fullStr An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations
title_full_unstemmed An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations
title_short An Accurate Method for Studying Individual Microbial Lag: Experiments and Computations
title_sort accurate method for studying individual microbial lag: experiments and computations
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8600314/
https://www.ncbi.nlm.nih.gov/pubmed/34803943
http://dx.doi.org/10.3389/fmicb.2021.725499
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