Evidence map›Paper›PMID 40559895›Full record

ArticleToxics2025

Occurrence, Source Apportionment, and Risk Assessment of Antibiotics in the Zhuozhang River, China: A Specific Investigation in Water-Scarce and Human Activity-Intensive Regions.

Juping Yan, Xiayang Wu, Ke Dong, Zhiyuan Zhang, Xuejun Sun, Shaopeng Gao, Jinxian Liu, Baofeng Chai

Abstract read
In one paragraph

Article in Toxics, 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. 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

8 authors.

Juping YanSchool of Environmental and Resource, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Xiayang WuSchool of Environmental and Resource, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Ke DongSchool of Environmental and Resource, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Zhiyuan ZhangSchool of Environmental and Resource, Taiyuan University of Science and Technology, Taiyuan 030024, China.
Xuejun SunSchool of Environmental and Resource Sciences, Shanxi University, Taiyuan 030006, China.ORCID 0009-0009-6150-1275
Shaopeng GaoState Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China.
Jinxian LiuSchool of Environmental and Resource Sciences, Shanxi University, Taiyuan 030006, China.ORCID 0000-0002-1957-0981
Baofeng ChaiSchool of Environmental and Resource Sciences, Shanxi University, Taiyuan 030006, China.

Funding

National Science Foundation of China 42476266Science and Technology Cooperation and Exchange Special Project of Shanxi Province 202304041101020the Key Project of the National Natural Science Foundation of China Joint Fund for Regional Innovation and Development U23A20157the program for Young Scholar Grant of Wenying in Shanxi University X.J. Sun, 2024
6 · The paper itself

Abstract

Antibiotic contamination and its environmental impact in water-scarce and human activity-intensive regions have been poorly researched, particularly in the Zhuozhang River, China. Thus, this study investigated the occurrence, sources, and ecological risks of 27 different antibiotics in the Zhuozhang River, based on water samples collected from representative locations including major reservoirs, upstream of the river, the main river channel, and a wastewater treatment plant (WWTP). Results showed widespread contamination by quinolones, with concentrations ranged from 41.7 to 184.3 ng/L. Quinolones-particularly ofloxacin and cinoxacin-were identified as posing moderate ecological risks, with heightened concerns in the main river channel and wastewater treatment plant areas. Source apportionment using the positive matrix factorization model identified livestock farming as the dominant contributor to antibiotic pollution, accounting for 22.9% of the total antibiotic load in the river. These findings underscore the urgency of enhancing monitoring and management strategies to mitigate antibiotic contamination, especially in high-risk areas such as wastewater treatment plants and main river sections.

Indexed as

antibioticsrisk assessmentsource apportionmentZhuozhang River

Identifiers

PMID40559895
PMCPMC12196876

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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.