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Microbiologically influenced corrosion: Development of a model system to investigate the role of biofilm communities within MIC and their control using industrial biocides

Microbiologically influenced corrosion: Development of a model system to investigate the role of biofilm communities within MIC and their control using industrial biocides
Microbiologically influenced corrosion: Development of a model system to investigate the role of biofilm communities within MIC and their control using industrial biocides
Microbiologically influenced corrosion (MIC) presents persistent challenges to the maritime, offshore renewable, and energy sectors, with biofilm formation playing a crucial role in corrosion mechanisms. However, understanding the complex interactions between biofilms and MIC is hindered by the lack of reproducible physical models that accurately reflect real-world conditions. This research employed a novel dual anaerobic biofilm reactor, using a complex microbial consortium derived from marine littoral sediment, and highlights the importance of a multidisciplinary approach, utilising multiple lines of evidence to understand the mechanistic interactions between biofilms and corrosion.
DNA extraction and 16S rRNA amplicon sequencing revealed that electroactive bacteria, particularly sulphate-reducing and iron-reducing bacteria, were the principal contributors to biofilm activity. Desulfovibrio and Shewanella spp., key electroactive and corrosive microorganisms, were identified as playing a critical role in extracellular electron transport, a process integral to MIC. The biotic condition exhibited significantly greater pit density, depth, and size compared to abiotic controls, highlighting the impact of continual biofilm growth on corrosion severity.
Biocide treatment was also investigated using the dual anaerobic biofilm reactor. Cyclic dosing led to an electronegative shift and reduced H₂S concentrations, indicating biofilm susceptibility. However, the biocide failed to fully eradicate the mixed-species biofilm, likely due to its structural properties acting as a diffusion barrier. These findings underscore the limitations of traditional biocide treatments and emphasize the need for improved biofilm management strategies. By bridging the gap between laboratory studies and real-world applications, this research enhances our understanding of MIC processes and contributes to the development of more effective corrosion mitigation techniques for industrial applications.
This research provides new insights into MIC mechanisms and highlights the need for evidence-based approaches to biofilm management and biocide application in industrial environments. The findings represent a step toward the development of standardised biofilm testing methods, improving MIC prediction and mitigation strategies.
University of Southampton
Jones, Liam Matthew
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Jones, Liam Matthew
e470ce41-e8dd-4845-97db-c7f56fd4803f
Webb, Jeremy
ec0a5c4e-86cc-4ae9-b390-7298f5d65f8d
Wharton, Julian
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Salta, Maria
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Skovhus, Torben Lund
b6954909-518a-46c5-a13d-8322a834cf0a
Illson, Tim
efc3b6dd-3603-4900-97b8-950f82ca40e1
Thomas, Kathryn
53372845-d5e1-4c72-8e61-8577bb30d26f

Jones, Liam Matthew (2025) Microbiologically influenced corrosion: Development of a model system to investigate the role of biofilm communities within MIC and their control using industrial biocides. University of Southampton, Doctoral Thesis, 244pp.

Record type: Thesis (Doctoral)

Abstract

Microbiologically influenced corrosion (MIC) presents persistent challenges to the maritime, offshore renewable, and energy sectors, with biofilm formation playing a crucial role in corrosion mechanisms. However, understanding the complex interactions between biofilms and MIC is hindered by the lack of reproducible physical models that accurately reflect real-world conditions. This research employed a novel dual anaerobic biofilm reactor, using a complex microbial consortium derived from marine littoral sediment, and highlights the importance of a multidisciplinary approach, utilising multiple lines of evidence to understand the mechanistic interactions between biofilms and corrosion.
DNA extraction and 16S rRNA amplicon sequencing revealed that electroactive bacteria, particularly sulphate-reducing and iron-reducing bacteria, were the principal contributors to biofilm activity. Desulfovibrio and Shewanella spp., key electroactive and corrosive microorganisms, were identified as playing a critical role in extracellular electron transport, a process integral to MIC. The biotic condition exhibited significantly greater pit density, depth, and size compared to abiotic controls, highlighting the impact of continual biofilm growth on corrosion severity.
Biocide treatment was also investigated using the dual anaerobic biofilm reactor. Cyclic dosing led to an electronegative shift and reduced H₂S concentrations, indicating biofilm susceptibility. However, the biocide failed to fully eradicate the mixed-species biofilm, likely due to its structural properties acting as a diffusion barrier. These findings underscore the limitations of traditional biocide treatments and emphasize the need for improved biofilm management strategies. By bridging the gap between laboratory studies and real-world applications, this research enhances our understanding of MIC processes and contributes to the development of more effective corrosion mitigation techniques for industrial applications.
This research provides new insights into MIC mechanisms and highlights the need for evidence-based approaches to biofilm management and biocide application in industrial environments. The findings represent a step toward the development of standardised biofilm testing methods, improving MIC prediction and mitigation strategies.

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More information

Published date: April 2025
Additional Information: NCBI SRA BioProject accession numbers PRJNA1238175, PRJNA1238084, PRJNA1218425, PRJNA1238257

Identifiers

Local EPrints ID: 499743
URI: http://eprints.soton.ac.uk/id/eprint/499743
PURE UUID: 3bc1e4b2-b14d-4454-96af-8b955b5eb7f4
ORCID for Liam Matthew Jones: ORCID iD orcid.org/0000-0002-2695-0464
ORCID for Jeremy Webb: ORCID iD orcid.org/0000-0003-2068-8589
ORCID for Julian Wharton: ORCID iD orcid.org/0000-0002-3439-017X

Catalogue record

Date deposited: 02 Apr 2025 16:32
Last modified: 22 Aug 2025 02:30

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Contributors

Thesis advisor: Jeremy Webb ORCID iD
Thesis advisor: Julian Wharton ORCID iD
Thesis advisor: Maria Salta
Thesis advisor: Torben Lund Skovhus
Thesis advisor: Tim Illson
Thesis advisor: Kathryn Thomas

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