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Risk Assessment of an Organochlorine Pesticide Mixture in the Surface Waters of Qingshitan Reservoir in Southwest China

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Journal RSC Adv
Specialty Chemistry
Date 2022 May 11
PMID 35542086
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Abstract

Risk assessment of single pollutants has been extensively studied. However, the co-exposure of pollutants in a real environment may pose a greater risk than single chemicals. In this study, concentration addition-based risk quotients were applied to the risk assessment of the 15 organochlorine pesticides (OCPs) mixtures (α-hexachlorocyclohexane (HCH), β-HCH, γ-HCH, δ-HCH, heptachlor, aldrin, heptachlor epoxide, chlordane, α-endosulfan, ,'-dichloro-diphenyl-dichloroethylene, endrin, β-endosulfan, ,'-dichloro-diphenyl-dichloroethane, ,'-dichloro-diphenyl-trichloroethane, and methoxychlor) detected in the surface water (reservoirs, ponds, and streams) of Qingshitan Reservoir in Southwest China from 2014 to 2016 by summing up the toxic units (RQ) of the toxicity data from the individual chemicals. The RQ of the OCPs mixture exceeded 1 in 45.23% of the 283 surface water samples based on acute data and an assessment factor of 100, indicating a potential risk for the aquatic environment (fish). Methoxychlor and γ-HCH contributed the most toxicities in the pesticide mixtures toward and fish and provided at least 50% of the mixture toxicity in all samples with RQ larger than 1. The most sensitive organism to realistic OCPs mixtures in the surface waters of Qingshitan Reservoir was fish, followed by and algae. The values of the maximum cumulative ratio for all samples indicated that the risk assessment based on single chemicals underestimated the pesticide mixture toxicities, which shows that special consideration should be made for the ecological risk of pesticide mixtures in the aquatic environment.

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References
1.
Zhang D, Wang Y, Yu K, Li P, Zhang R, Xu Y . Occurrence, distribution and sources of organochlorine pesticides (OCPs) in surface sediments from the Lijiang River, a typical karst river of southwestern China. Bull Environ Contam Toxicol. 2014; 93(5):580-5. DOI: 10.1007/s00128-014-1387-2. View

2.
Wang T, Zhang Z, Huang J, Hu H, Yu G, Li F . [Occurrence of dissolved polychlorinated biphenyls and organic chlorinated pesticides in the surface water of Haihe River and Bohai ay, China]. Huan Jing Ke Xue. 2007; 28(4):730-5. View

3.
Backhaus T, Faust M . Predictive environmental risk assessment of chemical mixtures: a conceptual framework. Environ Sci Technol. 2012; 46(5):2564-73. DOI: 10.1021/es2034125. View

4.
Price P, Han X . Maximum cumulative ratio (MCR) as a tool for assessing the value of performing a cumulative risk assessment. Int J Environ Res Public Health. 2011; 8(6):2212-25. PMC: 3138022. DOI: 10.3390/ijerph8062212. View

5.
Backhaus T . Environmental Risk Assessment of Pharmaceutical Mixtures: Demands, Gaps, and Possible Bridges. AAPS J. 2016; 18(4):804-13. DOI: 10.1208/s12248-016-9907-0. View