Evidence map›Paper›PMID 40732043›Full record

ArticleMicroorganisms2025

Dynamic Modeling of the Sulfur Cycle in Urban Sewage Pipelines Under High-Temperature and High-Salinity Conditions.

Zhiwei Cao, Zhen Xu, Yufeng Chen, Bingxuan Zhao, Chenxu Wang, Zuozhou Yu, Jingya Zhou

Abstract read
In one paragraph

Article in Microorganisms, 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

7 authors.

Zhiwei CaoDepartment of Agricultural Resources and Environment, College of Agriculture, Yanbian University, Yanji 133002, China.
Zhen XuCollege of Geography and Ocean Sciences, Yanbian University, Yanji 133002, China.ORCID 0000-0002-1864-3835
Yufeng ChenKey Laboratory of Biology and Genetic Resources of Tropical Crops, Ministry of Agriculture, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China.
Bingxuan ZhaoDepartment of Biological, Geological, and Environmental Sciences, University of Bologna, Via Sant'Alberto 163, 48123 Ravenna, Italy.
Chenxu WangDepartment of Environmental Science, College of Geography and Ocean Sciences, Yanbian University, Yanji 133002, China.
Zuozhou YuDepartment of Environmental Science, College of Geography and Ocean Sciences, Yanbian University, Yanji 133002, China.
Jingya ZhouDepartment of Agricultural Resources and Environment, College of Agriculture, Yanbian University, Yanji 133002, China.ORCID 0009-0003-8216-1587

Funding

Young Scientists Fund of the National Natural Science Foundation of China 42406207
6 · The paper itself

Abstract

This study addresses the microbial corrosion of cement-based materials in coastal urban sewer networks, systematically investigating the kinetic mechanisms of sulfur biogeochemical cycling under seawater infiltration conditions. Through dynamic monitoring of sulfide concentrations and environmental parameter variations in anaerobic pipelines, a multiphase coupled kinetic model integrating liquid-phase, gas-phase, and biofilm metabolic processes was developed. The results demonstrate that moderate salinity enhances the activity of sulfate-reducing bacteria (SRB) and accelerates sulfate reduction rates, whereas excessive sulfide accumulation inhibits SRB activity. At 35 °C, the mathematical model coefficient "a" for sulfate reduction in the reactor with 3 g/L salinity was significantly higher than those in reactors with 19 g/L and 35 g/L salinities, with no significant difference observed between the latter two. Overall, high sulfate concentrations do not act as limiting factors for sulfide oxidation under anaerobic conditions; instead, they enhance the reaction within specific concentration ranges. The refined kinetic model enables prediction of sulfur speciation in tropical coastal urban sewer pipelines, providing a scientific basis for corrosion risk assessment.

Indexed as

corrosiondynamic modelphased reaction processsewage pipelinessulfur cycle

Identifiers

PMID40732043
PMCPMC12299050

What OpenQuestion holds

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LicenceCC BY
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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.