ReviewMicroorganisms2020
Anti-Contamination Strategies for Yeast Fermentations.
Review in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Biological Characteristics of a ProbioticFoods (Basel, Switzerland) · 2026Article
- Bacterial contamination in starch-to-ethanol fermentations: Can bacteriocin-producing Saccharomyces cerevisiae offer a solution?Journal of industrial microbiology & biotechnology · 2026Review
- Systematic Engineering for Efficient Uric Acid-Degrading Activity in Probiotic YeastACS synthetic biology · 2025Article
- Isolation and characterization ofFrontiers in microbiology · 2025Article
- Food Webs and Feedbacks: The Untold Ecological Relevance of Antimicrobial Resistance as Seen in Harmful Algal Blooms.Microorganisms · 2024Review
- Probiotic Functions in Fermented Foods: Anti-Viral, Immunomodulatory, and Anti-Cancer Benefits.Foods (Basel, Switzerland) · 2024Review
- A transcriptomic atlas of acute stress response to low pH in multipleMicrobiology spectrum · 2024Article
- Physicochemical and Functional Properties of Yeast-Fermented Cabbage.Journal of microbiology and biotechnology · 2023Article
- Regulatory Small RNAs for a Sustained Eco-Agriculture.International journal of molecular sciences · 2023Review
- Study of the Effect of Antibiotics in Drinking Water on the Content of Antioxidant Compounds in Red Wines.Molecules (Basel, Switzerland) · 2022Article
- Treatment technologies for bakers' yeast production wastewater.Environmental science and pollution research international · 2022Review
- Advances in the Development of Microbial Double-Stranded RNA Production Systems for Application of RNA Interference in Agricultural Pest Control.Frontiers in bioengineering and biotechnology · 2021Review
- The Role of Yeasts in Fermentation Processes.Microorganisms · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Yeasts are very useful microorganisms that are used in many industrial fermentation processes such as food and alcohol production. Microbial contamination of such processes is inevitable, since most of the fermentation substrates are not sterile. Contamination can cause a reduction of the final product concentration and render industrial yeast strains unable to be reused. Alternative approaches to controlling contamination, including the use of antibiotics, have been developed and proposed as solutions. However, more efficient and industry-friendly approaches are needed for use in industrial applications. This review covers: (i) general information about industrial uses of yeast fermentation, (ii) microbial contamination and its effects on yeast fermentation, and (iii) currently used and suggested approaches/strategies for controlling microbial contamination at the industrial and/or laboratory scale.
Indexed as
Identifiers
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.