Evidence map›Paper›PMID 32978412›Full record

ArticleScientific reports2020

Occurrence, distribution, and health risk assessment of quinolone antibiotics in water, sediment, and fish species of Qingshitan reservoir, South China.

Liangliang Huang, Yuanmin Mo, Zhiqiang Wu, Saeed Rad, Xiaohong Song, Honghu Zeng, Safdar Bashir, Bin Kang, Zhongbing Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-weighted citation impact, top 7% of its field
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

24 citing papers in PubMed, 101 citations in OpenAlex.

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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 at 4 institutions in 3 countries.

Liangliang HuangCollege of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China.
Yuanmin MoSchool of Environment and Energy, South China University of Technology, Guangzhou, 510641, China.
Zhiqiang WuCoordinated Innovation Center of Water Pollution Control and Water Security in Karst Area, Guilin University of Technology, Guilin, 541004, China.
Saeed RadCollege of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China. saeedrad1979@gmail.com.
Xiaohong SongGuangxi Key Laboratory of Environmental Pollution Control and Technology, Guilin University of Technology, Guilin, 541004, China.
Honghu ZengCollege of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China.
Safdar BashirSub-Campus Depalor Okara, University of Agriculture Faisalabad, Okara, 56130, Pakistan.
Bin KangFisheries College, Ocean University of China, Qingdao, 266003, China.
Zhongbing ChenDepartment of Applied Ecology, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500, Prague, Czech Republic. zhongbing.chen@gmail.com.
Guilin University of Technology · CNCzech University of Life Sciences Prague · CZOcean University of China · CNUniversity of Agriculture Faisalabad · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The residual antibiotics in the environment have lately caused widespread concerns. However, little information is available on the antibiotic bioaccumulation and its health risk in drinking water resources of South China. Therefore, the occurrence, distribution, and health risk of four quinolone antibiotics including ofloxacin (OFX), norfloxacin (NOR), ciprofloxacin (CIP), and enrofloxacin (ENR) in the Qingshitan reservoir using high-performance liquid chromatography were investigated. Results revealed that the concentrations in water, sediment, and edible fish ranged from 3.49-660.13 ng/L, 1.03-722.18 μg/kg, and 6.73-968.66 μg/kg, respectively. The ecological risk assessment via the risk quotient (RQ) method showed that the values in sediment were all greater than 1, posing a high risk to the environment. The health risk index of water samples was at the maximum acceptable level, with OFX at the top while the rest were at the medium risk level. The main edible fish kinds of the reservoir had high dietary safety and the highest contaminations were found in carnivorous feeding habits and demersal habitat fishes with OFX as the highest magnitude. Source identification and correlation analysis using SPSS showed significant relationships between NOR with pH and turbidity (in water), as well as total phosphor (TP) and total organic carbon (TOC) in sediment. NOR was the highest in sediment which mostly sourced from livestock wastewater, croplands irrigation drain water, and stormwater. Correlations between CIP and ENR with TP were significant, while OFX was positively associated with total nitrogen (TN) which mainly originated from urban sewage as well as directly dosed drugs in fish farms. In conclusion, our results are of great significance for ensuring the safety of drinking water and aquatic products in this region.

Indexed as

Environmental MonitoringFishesRisk AssessmentAnimalsAnti-Bacterial AgentsChinaGeologic SedimentsQuality ControlQuinolonesRiversWater Pollutants, ChemicalAnti-Bacterial AgentsQuinolonesWater Pollutants, Chemical

Identifiers

PMID32978412
PMCPMC7519050
OpenAlexW3088712756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.