Evidence map›Paper›PMID 40323373›Full record

ArticleBioprocess and biosystems engineering2025

Assessing the performance of a disposable electrochemical biofilm test kit on monitoring drainage sludge biofilm corrosion and its biocide treatment.

Lingjun Xu, Chris Gu, Shaohua Wang

Abstract read
In one paragraph

Article in Bioprocess and biosystems engineering, 2025. 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. Review
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

3 authors.

Lingjun XuDepartment of Chemical and Biomolecular Engineering, Institute for Corrosion and Multiphase Technology, Ohio University, Athens, 45701, USA.
Chris GuDepartment of Biomedical Sciences, Ohio University Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, 45701, USA.
Shaohua WangDepartment of Biomedical Sciences, Ohio University Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, 45701, USA. wangs4@ohio.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drainage sludge is abundant with corrosive microbes which can contribute to soil corrosion of buried pipelines. In this work, the microbiologically influenced corrosion (MIC) of a drainage sludge biofilm against X65 carbon steel was confirmed by significant uniform corrosion (0.03 mm/a uniform corrosion rate) and more severe pitting corrosion (18% greater) on X65 coupons with nutrient enrichment without venting at 37 ℃ compared to the aerobic sludge at room temperature. A new biofilm/MIC test kit was employed to assess the aerobic sludge biofilm, and it was determined to be mildly corrosive against carbon steel after incubating 5 mL of aerobic sludge at room temperature for 7 d in the 10 mL biofilm test kit vial. Tetrakis-hydroxymethyl phosphonium sulfate (THPS), a green biocide was also tested in the biofilm/MIC test kit for its mitigation of the aerobic sludge biofilm and its corrosion against the X65 carbon steel working electrode. The biofilm test kit successfully monitored the sludge biofilm's sanitization efficacy. It was found that 100 ppm THPS was effective in inhibiting biofilm growth, and 400 ppm THPS in treating pre-established sludge biofilm by achieving 10% corrosion rate reduction. Thus, the biofilm/MIC test kit was found to be sensitive in detecting MIC and can be used as a convenient tool in assessing biofilm corrosivity and its mitigation efficacy.

Indexed as

BiofilmsDisinfectantsElectrochemical TechniquesSewageCorrosionSteelDisinfectantsSewageSteelBiocideBioelectrochemistryCarbon steelMicrobiologically influenced corrosionSludge biofilm

Identifiers

PMID40323373
PMCPMC12234593

What OpenQuestion holds

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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.