ReviewFoods (Basel, Switzerland)2023
The Use of Predictive Microbiology for the Prediction of the Shelf Life of Food Products.
Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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.
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.
Who cites it
29 citing papers in PubMed.
- Experimental and theoretical investigation of the antimicrobial effect of femtosecond laser irradiation on contact lens solutions.Archives of microbiology · 2026Article
- Microbial Survival, Sublethal Injury, and Recovery in Frozen Food Systems: Implications for Safety, Quality Deterioration, and Cold-Chain Control.Comprehensive reviews in food science and food safety · 2026Review
- Fungal Growth Risk Prediction and Optimal Regulation Method for Food Storage Based on the Forward Reachable Set.Foods (Basel, Switzerland) · 2026Article
- Article
- Smart Chemical Sensors for Monitoring and Detection of Spoilage in Fermented and Non-Fermented Food Products.Sensors (Basel, Switzerland) · 2026Review
- An Integrated Case Study on Fruit By-Products/Waste Management: Lactic Acid Bacteria Development, Artificial Intelligence Smart Implementation, and Reintegration into Food Chain.Foods (Basel, Switzerland) · 2026Article
- Validation of Commercial Pasteurization and Shelf-Life Evaluation of Finely Minced Cooked Chicken Sausages in Wide-Diameter Polyamide Casings UsingFoods (Basel, Switzerland) · 2026Article
- Antioxidants in Plant-Based Food Matrices: From Structure-Activity and Degradation Kinetics to Formulation Design.Comprehensive reviews in food science and food safety · 2026Review
- Artificial Intelligence in Bacteriophage Science: A Comprehensive Narrative Review of Applications, Challenges, and Translational Opportunities.Antibiotics (Basel, Switzerland) · 2026Review
- Microbial biobanking: safeguarding the tiny treasures for sustainable human welfare.Folia microbiologica · 2026Review
- A proteome optimal allocation model for elucidating effects of temperature on bacterial growth.NPJ systems biology and applications · 2026Article
- Viability and prediction of encapsulated Trichoderma spp. isolates using machine learning: a multi-layer perceptron-based approach.Archives of microbiology · 2026Article
- Multimodal AI for Real-Time Food Safety and Quality: From Sensors to Foundation Models, Edge Deployment, and Regulation.Food science & nutrition · 2026Review
- Artificial intelligence in bread making: Applications in quality control, formulation and sensory prediction.Food chemistry: X · 2026Review
- Review
- The role of microbiota in fish spoilage: biochemical mechanisms and innovative preservation strategies.Antonie van Leeuwenhoek · 2025Review
- Distribution of Kinetic and Thermal Processing Parameters Based On α-Amylase Inactivation Data.Journal of food science · 2025Article
- Big data analytics in food industry: a state-of-the-art literature review.NPJ science of food · 2025Review
- The Development of Machine Learning-Assisted Software for Predicting the Interaction Behaviours of Lactic Acid Bacteria andLife (Basel, Switzerland) · 2025Article
- The Impact of Fluid Flow on Microbial Growth and Distribution in Food Processing Systems.Foods (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Microbial shelf life refers to the duration of time during which a food product remains safe for consumption in terms of its microbiological quality. Predictive microbiology is a field of science that focuses on using mathematical models and computational techniques to predict the growth, survival, and behaviour of microorganisms in food and other environments. This approach allows researchers, food producers, and regulatory bodies to assess the potential risks associated with microbial contamination and spoilage, enabling informed decisions to be made regarding food safety, quality, and shelf life. Two-step and one-step modelling approaches are modelling techniques with primary and secondary models being used, while the machine learning approach does not require using primary and secondary models for describing the quantitative behaviour of microorganisms, leading to the spoilage of food products. This comprehensive review delves into the various modelling techniques that have found applications in predictive food microbiology for estimating the shelf life of food products. By examining the strengths, limitations, and implications of the different approaches, this review provides an invaluable resource for researchers and practitioners seeking to enhance the accuracy and reliability of microbial shelf life predictions. Ultimately, a deeper understanding of these techniques promises to advance the domain of predictive food microbiology, fostering improved food safety practices, reduced waste, and heightened consumer confidence.
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What OpenQuestion holds
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.