Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

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

L. Huang, Y. Mo, Z. Wu, S. Rad, X. Song, H. Zeng, S. Bashir, B. Kang, Z. Chen,

. 2020 ; 10 (1) : 15777. [pub] 20200925

Language English Country Great Britain

Document type Journal Article, Research Support, Non-U.S. Gov't

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.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20027815
003      
CZ-PrNML
005      
20210114152420.0
007      
ta
008      
210105s2020 xxk f 000 0|eng||
009      
AR
024    7_
$a 10.1038/s41598-020-72324-9 $2 doi
035    __
$a (PubMed)32978412
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxk
100    1_
$a Huang, Liangliang $u College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China. Guangxi Key Laboratory of Environmental Pollution Control and Technology, Guilin University of Technology, Guilin, 541004, China.
245    10
$a Occurrence, distribution, and health risk assessment of quinolone antibiotics in water, sediment, and fish species of Qingshitan reservoir, South China / $c L. Huang, Y. Mo, Z. Wu, S. Rad, X. Song, H. Zeng, S. Bashir, B. Kang, Z. Chen,
520    9_
$a 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.
650    _2
$a zvířata $7 D000818
650    _2
$a antibakteriální látky $x škodlivé účinky $x analýza $7 D000900
650    12
$a monitorování životního prostředí $7 D004784
650    12
$a ryby $7 D005399
650    _2
$a geologické sedimenty $x chemie $7 D019015
650    _2
$a řízení kvality $7 D011786
650    _2
$a chinolony $x škodlivé účinky $x analýza $7 D015363
650    12
$a hodnocení rizik $7 D018570
650    _2
$a řeky $x chemie $7 D045483
650    _2
$a chemické látky znečišťující vodu $x škodlivé účinky $x analýza $7 D014874
651    _2
$a Čína $7 D002681
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Mo, Yuanmin $u School of Environment and Energy, South China University of Technology, Guangzhou, 510641, China. Coordinated Innovation Center of Water Pollution Control and Water Security in Karst Area, Guilin University of Technology, Guilin, 541004, China.
700    1_
$a Wu, Zhiqiang $u Coordinated Innovation Center of Water Pollution Control and Water Security in Karst Area, Guilin University of Technology, Guilin, 541004, China.
700    1_
$a Rad, Saeed $u College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China. saeedrad1979@gmail.com.
700    1_
$a Song, Xiaohong $u Guangxi Key Laboratory of Environmental Pollution Control and Technology, Guilin University of Technology, Guilin, 541004, China.
700    1_
$a Zeng, Honghu $u College of Environmental Science and Engineering, Guilin University of Technology, Guilin, 541004, China.
700    1_
$a Bashir, Safdar $u Sub-Campus Depalor Okara, University of Agriculture Faisalabad, Okara, 56130, Pakistan.
700    1_
$a Kang, Bin $u Fisheries College, Ocean University of China, Qingdao, 266003, China.
700    1_
$a Chen, Zhongbing $u Department of Applied Ecology, Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, 16500, Prague, Czech Republic. zhongbing.chen@gmail.com.
773    0_
$w MED00182195 $t Scientific reports $x 2045-2322 $g Roč. 10, č. 1 (2020), s. 15777
856    41
$u https://pubmed.ncbi.nlm.nih.gov/32978412 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20210105 $b ABA008
991    __
$a 20210114152418 $b ABA008
999    __
$a ok $b bmc $g 1608150 $s 1118995
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2020 $b 10 $c 1 $d 15777 $e 20200925 $i 2045-2322 $m Scientific reports $n Sci Rep $x MED00182195
LZP    __
$a Pubmed-20210105

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...