Omnibus Modeling of <i>Listeria monocytogenes</i> Growth Rates at Low Temperatures
<i>Listeria monocytogenes</i> is a pathogen of considerable public health importance with a high case fatality. <i>L. monocytogenes</i> can grow at refrigeration temperatures and is of particular concern for ready-to-eat foods that require refrigeration. There is substantial...
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doaj-53f6230609f24ab1855860873a4051eb2021-06-01T00:08:32ZengMDPI AGFoods2304-81582021-05-01101099109910.3390/foods10051099Omnibus Modeling of <i>Listeria monocytogenes</i> Growth Rates at Low TemperaturesVincenzo Pennone0Ursula Gonzales-Barron1Kevin Hunt2Vasco Cadavez3Olivia McAuliffe4Francis Butler5Teagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co Cork, IrelandCentro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, PortugalUCD School of Biosystems and Food Engineering, University College Dublin, Belfield, Dublin 4, IrelandCentro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, PortugalTeagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Co Cork, IrelandUCD School of Biosystems and Food Engineering, University College Dublin, Belfield, Dublin 4, Ireland<i>Listeria monocytogenes</i> is a pathogen of considerable public health importance with a high case fatality. <i>L. monocytogenes</i> can grow at refrigeration temperatures and is of particular concern for ready-to-eat foods that require refrigeration. There is substantial interest in conducting and modeling shelf-life studies on <i>L. monocytogenes</i>, especially relating to storage temperature. Growth model parameters are generally estimated from constant-temperature growth experiments. Traditionally, first-order and second-order modeling (or primary and secondary) of growth data has been done sequentially. However, omnibus modeling, using a mixed-effects nonlinear regression approach, can model a full dataset covering all experimental conditions in one step. This study compared omnibus modeling to conventional sequential first-order/second-order modeling of growth data for five strains of <i>L. monocytogenes</i>. The omnibus model coupled a Huang primary model for growth with secondary models for growth rate and lag phase duration. First-order modeling indicated there were small significant differences in growth rate depending on the strain at all temperatures. Omnibus modeling indicated smaller differences. Overall, there was broad agreement between the estimates of growth rate obtained by the first-order and omnibus modeling. Through an appropriate choice of fixed and random effects incorporated in the omnibus model, potential errors in a dataset from one environmental condition can be identified and explored.https://www.mdpi.com/2304-8158/10/5/1099omnibus modeling<i>Listeria monocytogenes</i>predictive microbiologygrowth modelsHuang model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vincenzo Pennone Ursula Gonzales-Barron Kevin Hunt Vasco Cadavez Olivia McAuliffe Francis Butler |
spellingShingle |
Vincenzo Pennone Ursula Gonzales-Barron Kevin Hunt Vasco Cadavez Olivia McAuliffe Francis Butler Omnibus Modeling of <i>Listeria monocytogenes</i> Growth Rates at Low Temperatures Foods omnibus modeling <i>Listeria monocytogenes</i> predictive microbiology growth models Huang model |
author_facet |
Vincenzo Pennone Ursula Gonzales-Barron Kevin Hunt Vasco Cadavez Olivia McAuliffe Francis Butler |
author_sort |
Vincenzo Pennone |
title |
Omnibus Modeling of <i>Listeria monocytogenes</i> Growth Rates at Low Temperatures |
title_short |
Omnibus Modeling of <i>Listeria monocytogenes</i> Growth Rates at Low Temperatures |
title_full |
Omnibus Modeling of <i>Listeria monocytogenes</i> Growth Rates at Low Temperatures |
title_fullStr |
Omnibus Modeling of <i>Listeria monocytogenes</i> Growth Rates at Low Temperatures |
title_full_unstemmed |
Omnibus Modeling of <i>Listeria monocytogenes</i> Growth Rates at Low Temperatures |
title_sort |
omnibus modeling of <i>listeria monocytogenes</i> growth rates at low temperatures |
publisher |
MDPI AG |
series |
Foods |
issn |
2304-8158 |
publishDate |
2021-05-01 |
description |
<i>Listeria monocytogenes</i> is a pathogen of considerable public health importance with a high case fatality. <i>L. monocytogenes</i> can grow at refrigeration temperatures and is of particular concern for ready-to-eat foods that require refrigeration. There is substantial interest in conducting and modeling shelf-life studies on <i>L. monocytogenes</i>, especially relating to storage temperature. Growth model parameters are generally estimated from constant-temperature growth experiments. Traditionally, first-order and second-order modeling (or primary and secondary) of growth data has been done sequentially. However, omnibus modeling, using a mixed-effects nonlinear regression approach, can model a full dataset covering all experimental conditions in one step. This study compared omnibus modeling to conventional sequential first-order/second-order modeling of growth data for five strains of <i>L. monocytogenes</i>. The omnibus model coupled a Huang primary model for growth with secondary models for growth rate and lag phase duration. First-order modeling indicated there were small significant differences in growth rate depending on the strain at all temperatures. Omnibus modeling indicated smaller differences. Overall, there was broad agreement between the estimates of growth rate obtained by the first-order and omnibus modeling. Through an appropriate choice of fixed and random effects incorporated in the omnibus model, potential errors in a dataset from one environmental condition can be identified and explored. |
topic |
omnibus modeling <i>Listeria monocytogenes</i> predictive microbiology growth models Huang model |
url |
https://www.mdpi.com/2304-8158/10/5/1099 |
work_keys_str_mv |
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