Microbially influenced corrosion of container material

Černoušek, Tomáš; Ševců, Alena; Shrestha, Rojina; Steinová, Jana; Kokinda, Jakub; Vizelková, Kateřina

doi:10.1016/b978-0-12-818695-4.00006-x

Cited by 4 publications

(1 citation statement)

References 54 publications

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“…Additionally, Chan et al reported the role of EPS alone as a metal corrosion agent. They clearly demonstrated the involvement of EPS in influencing MIC by examining metal corrosion in media comprising no EPS (control) and 1% EPS, which supported the idea that EPS can trap metal ions leading to metal corrosion [ 74 , 75 ]. These findings corroborate with the GO term analysis of the gene set, identifying metal ion binding as a significantly enriched GO term ( p -value < 0.05) ( Figure 2 ).…”

Section: Resultsmentioning

confidence: 64%

Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow

et al. 2023

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A significant amount of literature is available on biocorrosion, which makes manual extraction of crucial information such as genes and proteins a laborious task. Despite the fast growth of biology related corrosion studies, there is a limited number of gene collections relating to the corrosion process (biocorrosion). Text mining offers a potential solution by automatically extracting the essential information from unstructured text. We present a text mining workflow that extracts biocorrosion associated genes/proteins in sulfate-reducing bacteria (SRB) from literature databases (e.g., PubMed and PMC). This semi-automatic workflow is built with the Named Entity Recognition (NER) method and Convolutional Neural Network (CNN) model. With PubMed and PMCID as inputs, the workflow identified 227 genes belonging to several Desulfovibrio species. To validate their functions, Gene Ontology (GO) enrichment and biological network analysis was performed using UniprotKB and STRING-DB, respectively. The GO analysis showed that metal ion binding, sulfur binding, and electron transport were among the principal molecular functions. Furthermore, the biological network analysis generated three interlinked clusters containing genes involved in metal ion binding, cellular respiration, and electron transfer, which suggests the involvement of the extracted gene set in biocorrosion. Finally, the dataset was validated through manual curation, yielding a similar set of genes as our workflow; among these, hysB and hydA, and sat and dsrB were identified as the metal ion binding and sulfur metabolism genes, respectively. The identified genes were mapped with the pangenome of 63 SRB genomes that yielded the distribution of these genes across 63 SRB based on the amino acid sequence similarity and were further categorized as core and accessory gene families. SRB’s role in biocorrosion involves the transfer of electrons from the metal surface via a hydrogen medium to the sulfate reduction pathway. Therefore, genes encoding hydrogenases and cytochromes might be participating in removing hydrogen from the metals through electron transfer. Moreover, the production of corrosive sulfide from the sulfur metabolism indirectly contributes to the localized pitting of the metals. After the corroboration of text mining results with SRB biocorrosion mechanisms, we suggest that the text mining framework could be utilized for genes/proteins extraction and significantly reduce the manual curation time.

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Section: Resultsmentioning

confidence: 64%

Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow

et al. 2023

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Bioenergetics and extracellular electron transfer in microbial fuel cells and microbial corrosion

Zhou

Lekbach

et al. 2022

Current Opinion in Electrochemistry

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Biosurfactants in biocorrosion and corrosion mitigation of metals: An overview

Sivakumar,

Ramasamy,

Thiagarajan

et al. 2024

Open Chemistry

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Biocorrosion, or microbiologically influenced corrosion, is a phenomenon where microorganisms deteriorate the metals. While corrosion is generally considered undesirable due to its negative impact on the integrity and lifespan of materials, the significance of biocorrosion is a major problem because it can cause material deterioration, financial losses, and environmental issues. Conventional corrosion protection techniques frequently use chemicals, which come with risks to human health and the environment. Biosurfactants are surface tension-reducing agents with a low molecular weight that attract many researchers and industrialists due to their excellent chemical properties and stability at extreme temperatures, pH, and under alkaline conditions. These compounds reduce the surface tension of liquids, leading to improved wetting and spreading on metal surfaces. This can help to create a more uniform and protective layer, preventing the accumulation of corrosive agents. This review explores different types of biosurfactants, which include lipopeptides, glycolipids, phospholipids, etc., and how they work to prevent corrosion. The investigation of biosurfactants in corrosion protection not only addresses environmental concerns but also holds promise for innovation in the development of efficient and long-lasting corrosion mitigation strategies for a variety of metal substrates, given the growing demand for green and sustainable technolo gies.

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Microbially influenced corrosion of container material

Cited by 4 publications

References 54 publications

Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow

Text-Mining to Identify Gene Sets Involved in Biocorrosion by Sulfate-Reducing Bacteria: A Semi-Automated Workflow

Bioenergetics and extracellular electron transfer in microbial fuel cells and microbial corrosion

Biosurfactants in biocorrosion and corrosion mitigation of metals: An overview

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