Evidence map›Paper›PMID 42867798›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Stress Tolerance Assays for Salmonella enterica: Methods for Evaluating Heat, Acidity, and Osmotic Resistance.

Madhav Paudel, Yosra A Helmy

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 authors.

Madhav PaudelDepartment of Veterinary Science, Martin-Gatton College of Agriculture, Food, and Environment, University of Kentucky, Lexington, KY, USA.ORCID http://orcid.org/0009-0006-7279-3902
Yosra A HelmyDepartment of Veterinary Science, Martin-Gatton College of Agriculture, Food, and Environment, University of Kentucky, Lexington, KY, USA. yosra.helmy@uky.edu.ORCID http://orcid.org/0000-0003-1470-5418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Salmonella remains a leading cause of foodborne illness worldwide and imposes substantial public health and economic burdens, particularly due to its persistence in food production systems. This persistence is driven not only by antimicrobial resistance but also by adaptive survival strategies, including stress tolerance that allows the cells to endure sublethal and lethal stresses encountered across the farm-to-fork continuum. Quantitative characterization of these phenotypes is crucial for understanding pathogen survival dynamics and strain-specific variability, thereby improving food safety interventions and enhancing risk management in practical settings. This chapter describes a standardized in vitro assays for quantifying Salmonella stress tolerance to three major environmental stressors: heat, pH, and osmotic stress, with detailed procedures and troubleshooting notes. The protocols are designed to generate high-resolution data for the precise determination of growth kinetics, survival rate, and decimal reduction time across different stressor intensities and exposure durations. Taken together, these assays provide a practical framework for evaluating the effectiveness of heating, acidification, and salting in controlling Salmonella under conditions relevant to real-world food safety.

Indexed as

Osmotic PressureSalmonella entericaStress, PhysiologicalAcidsAdaptation, PhysiologicalFood MicrobiologyHot TemperatureHydrogen-Ion ConcentrationMicrobial ViabilityAcidsAcid and osmotic resistanceSalmonellaStress toleranceThermal inactivation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.