Evidence map›Paper›PMID 41939311›Full record

ArticleACS omega2026

Microbially Induced Corrosion: A Hidden Risk in Industrial Accidents.

Tomáš Vítěz, Luboš Kotek, Michal Černý, Nikola Hanišáková, Monika Vítězová, Petr Trávníček

Abstract read
In one paragraph

Article in ACS omega, 2026. 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

6 authors.

Tomáš VítězDepartment of Agricultural, Food and Environmental Engineering, Mendel University in Brno, Zemědělská 1,Brno 613 00, Czech Republic.ORCID https://orcid.org/0000-0003-4442-4481
Luboš KotekDepartment of Production Systems and Virtual Reality, Brno University of Technology, Technická 2896/2, Brno 616 69, Czech Republic.
Michal ČernýDepartment of Agricultural, Food and Environmental Engineering, Mendel University in Brno, Zemědělská 1,Brno 613 00, Czech Republic.
Nikola HanišákováDepartment of Experimental Biology, Section of Microbiology, Faculty of Science, Masaryk University, Kamenice 753/5, Brno 625 00, Czech.ORCID https://orcid.org/0000-0002-2615-3780
Monika VítězováDepartment of Experimental Biology, Section of Microbiology, Faculty of Science, Masaryk University, Kamenice 753/5, Brno 625 00, Czech.ORCID https://orcid.org/0000-0002-0999-7957
Petr TrávníčekDepartment of Agricultural, Food and Environmental Engineering, Mendel University in Brno, Zemědělská 1,Brno 613 00, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phenomenon of microbiologically induced corrosion (MIC) has been known for more than 100 years, but its role as a cause of accidents in the process industry is still somewhat underestimated. Microbiologically induced corrosion is often associated with anaerobic environments, where microorganisms such as sulfate-reducing bacteria or methanogenic archaea are significantly involved in accelerating corrosion of metallic materials. This study aims to assess the significance of microbiologically induced corrosion in industrial accidents, identify facilities and conditions most at risk, and propose effective prevention strategies. Analysis of publicly available accident databases, together with expert assessment of operating conditions, suggests that MIC might be associated with roughly 10-20% of corrosion-related incidents; however, this range should be interpreted cautiously due to substantial limitations in reporting and confirmation practices. The presence of anaerobic microorganisms and biofilms substantially increases the likelihood of MIC, underscoring the need for systematic monitoring of microbial communities and environmental conditions to improve preventive measures and enhance plant safety. However, the analysis is limited by the incomplete and heterogeneous reporting of corrosion mechanisms in publicly accessible accident databases. Consequently, the estimated contribution of MIC should be interpreted with caution, as many events lack sufficient microbiological or environmental detail to allow definitive classification.

Identifiers

PMID41939311
PMCPMC13044617

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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.