Evidence map›Paper›PMID 41239060›Full record

ArticleEnvironmental monitoring and assessment2025

Different distribution patterns and potential risks of pesticide residues between soils and sediments: a case study in Lake Taihu Ecological Conservation Area.

Yuyang Hao, Mohan Bai, Lanqing Sun, Shuo Yang, Chunyu Wang, Qing X Li, Bruce D Hammock, El-Sayed A El-Sheikh, Ting Xu

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 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

9 authors.

Yuyang HaoBeijing Key Laboratory of Biodiversity and Organic Farming, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
Mohan BaiAgro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300191, China. baimohan@caas.cn.
Lanqing SunBeijing Key Laboratory of Biodiversity and Organic Farming, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
Shuo YangAgro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, 300191, China.
Chunyu WangBeijing Key Laboratory of Biodiversity and Organic Farming, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China.
Qing X LiDepartment of Molecular Biosciences and Bioengineering, University of Hawaii at Manoa, 1955 East-West Road, Honolulu, HI, 96822, USA.
Bruce D HammockDepartment of Entomology and UCD Comprehensive Cancer Center, University of California, Davis, CA, 95616, USA.
El-Sayed A El-SheikhPlant Protection Department, Faculty of Agriculture, Zagazig University, Zagazig, 44511, Egypt.
Ting XuBeijing Key Laboratory of Biodiversity and Organic Farming, College of Resources and Environmental Sciences, China Agricultural University, Beijing, 100193, China. xuting@cau.edu.cn.

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
Supplement for bioactive lipids as effectors and indicators of the deleterious effects of human healthR35ES030443 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MORISSEAU, CHRISTOPHE HP · 2019 to 2025
$5.8M
Key Project of Inter-Governmental International Scientific and Technological Innovation Cooperation 2019YFE0115800National Institute of Environmental Health Sciences (NIEHS) Superfund Research Program P42ES04699NIEHS NIH HHS P42 ES004699NIEHS NIH HHS R35 ES030443NIEHS RIVER Award R35ES030443USDA Hatch Project HAW05044-R
6 · The paper itself

Abstract

Pesticides can migrate and accumulate across environmental compartments, necessitating multi-medium risk assessments to ensure sustainable development and safeguard human health. Although soils and sediments are recognized as ultimate sinks for pesticides, differences in their distribution patterns and associated ecological risks remain poorly understood, posing challenges for targeted pesticide management. In this study, we analyzed the temporal and spatial distribution of 39 various historically-used and currently-used pesticides in both farmland soils and their nearby river sediments collected from the Lake Taihu Ecological Conservation Area (TECA), China. A total of 9 and 7 types of pesticides were found in soils and sediments, respectively, which were dominated by p,p'-DDE (in average of 27.7 and 4.3 ng/g), buprofezin (in average of 96.3 and 7.1 ng/g), and bifenthrin (in average of 27.6 and 6.8 ng/g). Notably, o,p'-DDT, cypermethrin, deltamethrin, and fenvalerate were exclusively detected in soil samples, whereas permethrin and prometryn were uniquely present in some sediment samples. Principal component analysis (PCA) revealed that seasonal patterns in pesticide distribution occurred only in soil samples, with no corresponding patterns observed in sediments. The risk quotient (RQ) assessment indicated the potential ecological risks posed by the detected pesticides. Although most pesticide residues detected in soils and sediments posed low ecological risks (RQ < 1), pyrethroids (especially bifenthrin in sediments) exhibited notably highly risk quotients, indicating their comparatively high ecological risks and warranting attention for management.

Indexed as

Environmental MonitoringGeologic SedimentsPesticide ResiduesSoilSoil PollutantsWater Pollutants, ChemicalChinaLakesRisk AssessmentPesticide ResiduesSoilSoil PollutantsWater Pollutants, ChemicalPesticide residuesRisk assessmentSedimentSoil

Identifiers

PMID41239060
PMCPMC12822544

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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.