Evidence map›Paper›PMID 39657260›Full record

ArticleEnvironmental microbiology reports2024

Electrochemical Detection of Carbon Steel Corrosion Induced by Fermentative Bacteria From Natural Gas Transmission Lines.

Joshua A Davis, Sai Prasanna Chinthala, Chelsea N Monty-Bromer, John M Senko

Abstract read
In one paragraph

Article in Environmental microbiology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Joshua A DavisDepartment of Biology, The University of Akron, Akron, Ohio, USA.
Sai Prasanna ChinthalaDepartment of Chemical and Biological Engineering, Cleveland State University, Cleveland, Ohio, USA.
Chelsea N Monty-BromerDepartment of Chemical and Biological Engineering, Cleveland State University, Cleveland, Ohio, USA.
John M SenkoDepartment of Biology, The University of Akron, Akron, Ohio, USA.ORCID https://orcid.org/0000-0001-5854-0497

Funding

Pipeline and Hazardous Materials Safety Administration 693JK31850003CAAP
6 · The paper itself

Abstract

The metabolic potential and corrosive activities of a fermentative bacterial enrichment culture from a natural gas transmission line were characterised. Three metagenome-assembled genomes (MAGs) attributable to Cytobacillus, Lacrimispora and Staphylococcus spp. were obtained. These MAGs hosted genes involved in the fermentation of carbohydrates to organic acids, which was reflected in the acidification of the growth medium by the culture. To evaluate the corrosive activities of the culture, it was incubated in a split chamber-zero resistance ammetry (SC-ZRA) format. This involved deploying carbon steel coupons immersed in liquid medium in opposing chambers of an electrochemical cell. Measurement of current between the coupons indicated the extent and mechanism of corrosion. When the enrichment culture was added to one side of an SC-ZRA incubation with bicarbonate-buffered medium, pH change and corrosion were minimal. In bicarbonate-free medium, the culture acidified the medium, induced electron transfer from the uninoculated chamber to the inoculated chamber, and caused mass loss. These results indicate that fermenter-induced microbially influenced corrosion (MIC) is due to localised fluid acidification, inducing anodic reactions on the metal surface exposed to the microorganisms and mass loss of the non-exposed metal.

Indexed as

CarbonFermentationNatural GasSteelBacteriaCorrosionElectrochemical TechniquesHydrogen-Ion ConcentrationMetagenomeCarbonNatural GasSteelacid productionfermentermicrobially influenced corrosionnatural gas

Identifiers

PMID39657260
PMCPMC11630862

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Registered trials

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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.