ArticleACS omega2026
Microbially Induced Corrosion: A Hidden Risk in Industrial Accidents.
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.
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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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