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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

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2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2019, Vol. 13 Issue (4) : 56    https://doi.org/10.1007/s11783-019-1140-5
RESEARCH ARTICLE
Occurrence, distribution and risk assessment of abused drugs and their metabolites in a typical urban river in north China
Peng Hu, Changsheng Guo, Yan Zhang, Jiapei Lv, Yuan Zhang, Jian Xu()
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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Abstract

We developed a method for determining 11 abused drugs in water and sediment.

METH and EPH were the dominant drugs in water and sediment in Beiyunhe River.

Abuse drugs in Beiyunhe River were mainly from hospitals and sewage effluents.

Abused drugs in the water would not impair the aquatic ecosystem biologically.

This study investigated the presence of 11 abused drugs and their metabolites, including amphetamine, methamphetamine (METH), ketamine, ephedrine (EPH), cocaine, benzoylecgonine, methadone, morphine, heroin, codeine, and methcathinone in the surface water and sediment samples of Beiyunhe River, a typical urban river flowing through Beijing, Tianjin, and Hebei provinces in North China. An analytical method of determining these abused drugs and their metabolites in water and sediment was developed and validated prior to sample collection in the study area. Results showed that METH and EPH were predominant in water and sediment samples. The total drug concentrations ranged from 26.6 to 183.0 ng/L in water and from 2.6 to 32.4 ng/g dry weight in sediment, and the drugs mainly originated from hospitals and sewage treatment plants. The average field-based sediment water distribution coefficients of abused drugs were calculated between 149.3 and 1214.0 L/kg and corrected by organic carbon. Quotient method was used to assess the risks. The findings revealed that these drugs and their metabolites at determined concentrations in water samples will not impair the aquatic ecosystem biologically, but their potential harmful effect on the function of the ecosystem and human health should not be overlooked.

Keywords Drugs of abuse      Occurrence      Distribution      Urban river      Environmental risk     
Corresponding Author(s): Jian Xu   
Issue Date: 15 May 2019
 Cite this article:   
Peng Hu,Changsheng Guo,Yan Zhang, et al. Occurrence, distribution and risk assessment of abused drugs and their metabolites in a typical urban river in north China[J]. Front. Environ. Sci. Eng., 2019, 13(4): 56.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-019-1140-5
https://academic.hep.com.cn/fese/EN/Y2019/V13/I4/56
Analytes r2 Surface water Sediment
LOD (ng/L) LOQ (ng/L) Precision (%RSD) LOD (ng/g) LOQ (ng/g) Precision (%RSD)
10 ng/L
(n = 5)
100 ng/L
(n = 5)
10 ng/g
(n = 5)
100 ng/g
(n = 5)
AMP 0.9985 0.2 0.8 7.32 8.41 0.5 1.5 2.56 4.99
METH 0.9986 0.6 2.0 4.60 5.63 1.0 2.0 3.56 5.25
KET 0.9990 0.3 1.0 5.02 8.65 0.2 0.8 2.45 4.84
EPH 0.9987 0.3 1.0 0.86 3.56 0.9 1.5 5.65 5.23
COC 0.9969 0.5 5.0 2.48 5.66 0.5 5.4 6.32 3.25
BE 0.9982 1.2 5.0 10.25 7.65 0.6 4.8 5.69 4.43
MTD 0.9943 0.9 2.0 7.52 3.91 1.2 3.4 2.34 5.96
MOR 0.9980 0.5 1.5 8.20 6.33 0.8 2.5 2.45 6.15
HER 0.9941 0.8 2.0 6.25 4.36 1.5 5.0 1.96 4.67
COD 0.9961 0.8 2.5 2.36 3.23 1.2 4.6 4.87 2.35
MC 0.9987 1.0 5.0 2.42 4.55 1.0 5.0 6.74 5.12
Tab.1  Parameters for method validation
Analytes Surface water Sediment
Freq (%) Median Mean Range Freq (%) Median Mean Range
n = 13 (ng/L) (ng/L) (ng/L) n = 14 (ng/g dw) (ng/g dw) (ng/g dw)
AMP 92.31 2.8 3.6 nda) –11.3 50.00 <LOQ 2.0 nd–6.9
METH 100 17.4 25.0 2.6–92.2 57.14 5.0 3.2 nd–9.1
KET 100 4.8 5.7 1.5–12.3 28.57 nd <LOQ nd–3.6
EPH 100 22.2 29.7 5.6–70.4 92.86 2.9 3.5 <LOQ–8.4
COC 76.92 4.6 4.9 nd–10.7 50.00 <LOQ <LOQ nd–10.0
BE 76.92 5.1 5.8 nd–14.6 35.71 nd <LOQ nd–3.1
MTD 30.77 nd <LOQ nd–6.3 0.00 nd nd nd
MOR 46.15 nd 1.78 nd–6.1 21.43 nd <LOQ nd–4.9
HER 0 nd nd nd nd nd nd nd
COD 15.38 nd <LOQ nd–5.6 0.00 nd nd nd
MC 0 nd nd nd 0.00 nd nd nd
Tab.2  Frequency of detection, median, mean and concentration range of the 11 target drugs in surface water and sediment
Fig.1  (a) Concentrations of abused drugs in surface water samples; (b) Average contribution of each compound to the total drugs in water.
Fig.2  (a) Concentrations of abused drugs in sediment samples; (b) Average contribution of each compound to the total drugs in sediment.
Compounds KD (L/kg) Koc (L/kg) n Values in references a)
(L/kg)
Min Max Mean Mean
AMP 407.9 2158.2 1214.0 3.03 × 104 5
METH 89.7 242.4 149.3 3.88 × 103 6
KET 324.3 431.8 378.1 8.12 × 103 2
EPH 16.6 405.7 168.0 4.25 × 103 11
COC 113.8 983.8 469.5 1.19 × 104 7 3000
BE 48.6 317.0 179.6 4.77 × 103 4 200
MOR 285.2 574.2 450.9 1.22 × 104 3
Tab.3  Pseudo-partitioning coefficient of selected abused drugs
Fig.3  Principal component plot of abused drugs in surface water.
Fig.4  Principal component plot of sampling sites in surface water.
Analytes EC50 (mg/L) Selected AF PNEC (mg/L) RQ Reference
Fish Cladocerans Algae
AMP 28.80 2.22 3.80 2.22 1000 2.22 × 10-3 0–0.005 Lilius et al. (1994)
METH 20.51 2.51 1.97 1.97 1000 1.97 × 10-3 0.001–0.047 ECOSAR
KET 8.34 1.13 0.72 0.72 1000 7.20 × 10-4 0–0.017 ECOSAR
EPH 56.00 3.62 3.91 3.62 1000 3.62 × 10-3 0–0.019 Sanderson et al. (2004)
COC 45.09 5.48 4.35 4.35 1000 4.35 × 10-3 0–0.012 ECOSAR
MTD 2.24 0.34 0.17 0.17 1000 1.70 × 10-4 0–0.037 ECOSAR
MOR 382.64 39.28 43.56 39.28 1000 3.93 × 10-2 0 ECOSAR
COD 171.79 18.83 18.36 18.36 1000 1.84 × 10-2 0 ECOSAR
Tab.4  Predicted no effect concentrations (PNECs) (mg/L) for green algae, cladocerans and fish
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