ReviewFoods (Basel, Switzerland)2021
The Inclusion of the Food Microstructural Influence in Predictive Microbiology: State-of-the-Art.
Review in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
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Who cites it
6 citing papers in PubMed.
- Stress-Driven Tolerance and Persistence ofBiology · 2026Review
- Isolation, characterisation, and biocontrol application of novel Clostridium perfringens phages on chicken meat.International microbiology : the official journal of the Spanish Society for Microbiology · 2026Article
- Methods for studying microbial acid stress responses: from molecules to populations.FEMS microbiology reviews · 2024Review
- Dynamic Modelling and Simulation of Food Systems: Recent Trends and Applications.Foods (Basel, Switzerland) · 2023Article
- Variability in Cold Tolerance of Food and ClinicalMicroorganisms · 2022Article
- Contribution of omics to biopreservation: Toward food microbiome engineering.Frontiers in microbiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Predictive microbiology has steadily evolved into one of the most important tools to assess and control the microbiological safety of food products. Predictive models were traditionally developed based on experiments in liquid laboratory media, meaning that food microstructural effects were not represented in these models. Since food microstructure is known to exert a significant effect on microbial growth and inactivation dynamics, the applicability of predictive models is limited if food microstructure is not taken into account. Over the last 10-20 years, researchers, therefore, developed a variety of models that do include certain food microstructural influences. This review provides an overview of the most notable microstructure-including models which were developed over the years, both for microbial growth and inactivation.
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Registered trials
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.