Evidence map›Paper›PMID 41679273›Full record

ArticleAnimal bioscience2026

Predictive modeling of Salmonella Thompson growth in unpasteurized liquid egg products.

Chang-Geun Lim, Seung-Hee Baek, In-Sik Nam

Abstract read
In one paragraph

Article in Animal bioscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chang-Geun Lim *Department of Animal Convergence Science, Hankyoung National University, Anseong, Korea.
Seung-Hee Baek *Research Center for Environment Friendly and Quality Livestock Production Technology, Hankyoung National University, Anseong, Korea.
In-Sik NamDepartment of Animal Convergence Science, Hankyoung National University, Anseong, Korea. isnam@hknu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSalmonella Thompson is a major cause of large-scale foodborne disease outbreaks worldwide; however, research on S. Thompson remains limited. This study investigates the development of a predictive model for the growth of S. Thompson in unpasteurized liquid egg products, such as liquid egg white, liquid egg yolk, and liquid whole egg, to understand the associated health risks.

methodsUnpasteurized liquid egg products, confirmed to be free of Salmonella spp., were inoculated with S. Thompson and incubated at various temperatures. Growth kinetic parameters were estimated using both primary and secondary predictive models, including the Baranyi and Roberts model and second-order polynomial models. The effects of environmental factors on S. Thompson growth were analyzed to establish a comprehensive risk assessment framework.

resultsThe growth curves of S. Thompson exhibited a typical bacterial sigmoidal pattern characteristic of bacterial proliferation, with the Baranyi model providing the best fit for describing the growth kinetics. The secondary model accurately predicted the effect of temperature on growth rate, demonstrating that S. Thompson proliferates rapidly under specific environmental conditions. Model validation indicated high accuracy, confirming the reliability of the developed model for risk assessment applications.

conclusionThe established predictive model enables quantitative assessment of the growth behavior of S. Thompson in unpasteurized liquid egg products. This model can be used in risk assessment and food safety management strategies to mitigate the risk of foodborne pathogen contamination in the food industry.

Indexed as

Food SafetyGrowth KineticsPredictive ModelingSalmonella ThompsonUnpasteurized Liquid Egg

Identifiers

PMID41679273
PMCPMC13243923

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.