Evidence map›Paper›PMID 41771981›Full record

ArticleScientific reports2026

Preliminary study on the distribution and risk assessments of microplastic pollution in surface water in Chengdu, China.

Juan Chen, Yong Chen, Xin Peng, Ping Wang, Pengjie Li, Jing Huang, Xian Yong, Yinger Deng

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

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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.

Juan ChenCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, China.
Yong ChenChengdu Environmental Monitoring Center Station of Sichuan Province, Chengdu, 610066, China.
Xin PengSichuan Provincial Engineering Research Center of City Solid Waste Energy and Building Materials Conversion and Utilization Technology, Chengdu University, Chengdu, 610106, China.
Ping WangChengdu Environmental Monitoring Center Station of Sichuan Province, Chengdu, 610066, China.
Pengjie LiCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, China.
Jing HuangChengdu Environmental Monitoring Center Station of Sichuan Province, Chengdu, 610066, China.
Xian YongChengdu Environmental Monitoring Center Station of Sichuan Province, Chengdu, 610066, China.
Yinger DengCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, China. dengyinge@mail.cdut.edu.cn.

Funding

Sichuan Provincial Engineering Research Center of City Solid Waste Energy and Building Materials Conversion and Utilization Technology GF2022ZC013
6 · The paper itself

Abstract

Microplastics have emerged as a significant global environmental issue that has garnered considerable attention from both the public and governmental bodies. In this study, microplastics (0.02-5.0 mm) in the surface water of the Minjiang River and Tuojiang River valleys in Chengdu were quantitatively characterized and analyzed using micro-infrared spectroscopy. Key metrics such as the pollution load index, polymer risk, and potential ecological risk index were calculated to evaluate and analyze the risks associated with microplastics. The results indicated that the concentrations of microplastics in the study area's surface water ranged from 5.0 to 18.2 items/L. Additionally, the microplastic content in the Tuojiang River valley was higher than that in the Minjiang River valley. Microplastics were predominantly transparent or yellow, primarily occurring as granules, fragments, and fibers, with sizes mainly below 1000 μm. In 2021, the predominant types were polyethylene terephthalate (34.2%) and polyethylene (20.7%). In 2023, polyamide (32.8%) and polyethylene (19.5%) became the predominant types, indicating a significant shift in the composition. The contamination risk of microplastics was significantly influenced by the type of polymer. These findings provided a theoretical foundation for the detection and risk assessment of microplastics in surface waters within the Chengdu region.

Indexed as

ChengduDistributionMicroplastic pollutionRisk assessmentSurface water

Identifiers

PMID41771981
PMCPMC13057348

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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.