Evidence map›Paper›PMID 35513559›Full record

ArticleArchives of microbiology2022

Mitigation of microbial corrosion by Cu addition to X65 pipeline steel by Pseudomonas aeruginosa MCCC 1A00099.

Yuchen Li, Xianbo Shi, Jiguang Li, Yunpeng Zeng, Minggang Shen, Wei Yan, Ke Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 44% of its field
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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 1 country.

Yuchen LiUniversity of Science and Technology Liaoning, Anshan, 114051, China.
Xianbo ShiInstitute of Metal Research, Chinese Academy of Sciences, Shenyang, 110016, China. xbshi@imr.ac.cn.ORCID http://orcid.org/0000-0001-8039-0018
Jiguang LiUniversity of Science and Technology Liaoning, Anshan, 114051, China.
Yunpeng ZengInstitute of Metal Research, Chinese Academy of Sciences, Shenyang, 110016, China.
Minggang ShenUniversity of Science and Technology Liaoning, Anshan, 114051, China.
Wei YanInstitute of Metal Research, Chinese Academy of Sciences, Shenyang, 110016, China.
Ke YangInstitute of Metal Research, Chinese Academy of Sciences, Shenyang, 110016, China.
Chinese Academy of Sciences · CNUniversity of Science and Technology Liaoning · CN

Funding

the Open Fund Project from State Key Laboratory of Metal Material for Marine Equipment and Application SKLMEA-K202002
6 · The paper itself

Abstract

Microbiologically influenced corrosion (MIC) is becoming a knotty problem for transmission pipelines. Developing MIC mitigation strategies for pipelines is increasingly urgent. In this study, MIC resistance against Pseudomonas aeruginosa of the X65 pipeline steels with (X65Cu) and without (X65) Cu addition was comparatively studied by electrochemical measurements and surface observation. Experimental results demonstrated that the corrosion rate of X65Cu steel was lower than that of X65 steel no matter in sterile or bacteria-containing media. Cu addition is helpful to the formation of the rust layer in the sterile medium. Surface observation showed that X65Cu steel exhibited a better MIC resistance against P. aeruginosa than that of X65 steel. Cu ions released from the X65Cu steel could effectively kill the P. aeruginosa attached on the steel surface, thus evidently decreased the pit depth and diameter.

Indexed as

Pseudomonas aeruginosaSteelBiofilmsCorrosionSteelCu additionMicrobiologically influenced corrosionPipeline steelPseudomonas aeruginosa

Identifiers

PMID35513559
OpenAlexW4229000244

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.