Evidence map›Paper›PMID 40793756›Full record

ArticleApplied and environmental microbiology2025

Optimization of degradation conditions and elucidation of novel biodegradation pathways for sulfamonomethoxine by a novel

Xiujuan Wang, Jingtong Li, Chunyan Chen, Zifeng Luo, Yuwan Pang, Hongxing Tu, Xiaojun Lin, Cuifen Long, Qianyi Cai, Zebin Wei and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied and environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xiujuan WangSouth China Institute of Environmental Sciences, MEE, Guangzhou, Guangdong, China.
Jingtong LiCollege of Agriculture, Yangtze University, Jingzhou, Hubei, China.
Chunyan ChenJinan University, Guangzhou, China.
Zifeng LuoSouth China Institute of Environmental Sciences, MEE, Guangzhou, Guangdong, China.ORCID 0009-0009-9131-9650
Yuwan PangInstitute of Agricultural Resources and Environment, Guangdong Academy of Agricultural Sciences, Guangzhou, China.
Hongxing TuSouth China Institute of Environmental Sciences, MEE, Guangzhou, Guangdong, China.
Xiaojun LinSouth China Institute of Environmental Sciences, MEE, Guangzhou, Guangdong, China.
Cuifen LongGuangzhou Municipal River and Channel Monitoring Center, Guangdong, Guangzhou, China.
Qianyi CaiSouth China Institute of Environmental Sciences, MEE, Guangzhou, Guangdong, China.
Zebin WeiSouth China Institute of Environmental Sciences, MEE, Guangzhou, Guangdong, China.
Jinrong QiuSouth China Institute of Environmental Sciences, MEE, Guangzhou, Guangdong, China.

Funding

China Postdoctoral Science Foundation 2024M762170Fundamental Research Funds for by Central Public Welfare Research Institutes PM-zx703-202406-224, PM-zx703-202406-241National Key Technology Research and Development Program of China 2023YFD1702202
6 · The paper itself

Abstract

As a commonly used sulfonamide antibiotic, the efficient reduction of sulfamonomethoxine (SMM) residue in the environment is a critical issue that urgently needs to be addressed. However, there is limited understanding of the microbial conditions needed for efficient SMM degradation and its mechanisms. Therefore, this study screened a new strain, IMPORTANCE: The discovery of a new

Indexed as

BacillusSulfamonomethoxineAnimalsBiodegradation, EnvironmentalHydrogen-Ion ConcentrationManureSwineTemperatureManureSulfamonomethoxineBacillus sp. DLY-11biodegradationbiodegradation pathwaycondition optimizationsulfamonomethoxine (SMM)

Identifiers

PMID40793756
PMCPMC12442388

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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.