Informace o publikaci

Microbially Induced Corrosion: A Hidden Risk in Industrial Accidents

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VÍTĚZ Tomáš KOTEK Luboš ČERNÝ Michal HANIŠÁKOVÁ Nikola VÍTĚZOVÁ Monika TRÁVNÍČEK Petr

Rok publikování 2026
Druh Článek v odborném periodiku
Časopis / Zdroj ACS Omega
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
www https://pubs.acs.org/doi/10.1021/acsomega.5c09790
Doi https://doi.org/10.1021/acsomega.5c09790
Klíčová slova Bacteria; Biological databases; Electrochemistry; Oxidation
Přiložené soubory
Popis 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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