Evidence map›Paper›PMID 42515117›Full record

ArticleToxics2026

Occurrence, Ecological Risk, and Source Apportionment of Antibiotics in Surface Water and Sediment of Yellow River Delta.

Jinghao Wang, Shaohua Zhang, Yaoshen Fan, Feihe Kong, Renjie Huang, Shentang Dou

Abstract read
In one paragraph

Article in Toxics, 2026. 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

6 authors.

Jinghao WangYellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China.
Shaohua ZhangYellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China.
Yaoshen FanYellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China.
Feihe KongYellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China.
Renjie HuangYellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China.
Shentang DouYellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China.ORCID 0000-0002-7638-1060

Funding

China Yellow River Foundation 53100000500021553JP24011Henan Science and Technology Department 242102321060Ministry of Water Resources of the People's Republic of China SKS-20222061National Natural Science Foundation of China 42406169National Natural Science Foundation of China U2443219Yellow River Institute of Hydraulic Research HKY-JBYW-2023-09Yellow River Institute of Hydraulic Research HKY-JBYW-2023-24
6 · The paper itself

Abstract

The Yellow River Delta (YRD), a crucial ecotone, is becoming increasingly polluted by antibiotics, posing serious threats to aquatic ecosystems and human health. In this study, comprehensive investigations were conducted to explore the regional distribution, environmental risks, and source apportionment of antibiotics, with the aim of facilitating precise management and control of antibiotic pollution. The results show that the surge in runoff during the water-sediment regulation period (June and August) of the Yellow River drove a sharp rise in antibiotic concentrations in the surface water, peaking at 135.0 ng/L, whereas antibiotics were rarely detected in the sediments after multiple rounds of intense hydraulic scouring (0.2~12.6 ng/g in October). Furthermore, seven antibiotics (sulfadiazine, sulfamethoxazole, flumequine, ofloxacin, tetracycline, doxycycline, and lincomycin) in surface water and six antibiotics (norfloxacin, enrofloxacin, ofloxacin, doxycycline, oxytetracycline, and florfenicol) in sediments were identified as representative compounds according to the antibiotic pollution profiles. Environmental risk assessment coupled with spatial autocorrelation analysis revealed that sulfamethoxazole generally posed medium to high risk (0.12~1.27) in surface water. Sediments posed more serious ecological risks, with universally high risk levels (ranging from 1.11 to 280.00). More importantly, in both surface water and sediment, four core antibiotic sources-namely, human sewage, livestock farming, agricultural and aquaculture inputs, and hydrodynamic-driven resuspension processes-were consistently identified through the Positive Matrix Factorization model and Kriging interpolation. These findings provide crucial insights for establishing targeted antibiotic pollution control strategies in the YRD and advance the understanding of antibiotic fate in sediment-laden rivers.

Indexed as

antibioticsenvironmental risk assessmentsource apportionmentspatial–temporal distribution

Identifiers

PMID42515117
PMCPMC13418894

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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.