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Wei J, Tian L, Nie F, Shao Z, Wang Z, Xu Y, He M. Quantitative structure-activity relationship model development for estimating the predicted No-effect concentration of petroleum hydrocarbon and derivatives in the ecological risk assessment. Heliyon 2024; 10:e26808. [PMID: 38468969 PMCID: PMC10925994 DOI: 10.1016/j.heliyon.2024.e26808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/13/2024] Open
Abstract
Quantitative structure-activity relationship (QSAR) is a cost-effective solution to directly and accurately estimating the environmental safety thresholds (ESTs) of pollutants in the ecological risk assessment due to the lack of toxicity data. In this study, QSAR models were developed for estimating the Predicted No-Effect Concentrations (PNECs) of petroleum hydrocarbons and their derivatives (PHDs) under dietary exposure, based on the quantified molecular descriptors and the obtained PNECs of 51 PHDs with given acute or chronic toxicity concentrations. Three high-reliable QSAR models were respectively developed for PHDs, aromatic hydrocarbons and their derivatives (AHDs), and alkanes, alkenes and their derivatives (ALKDs), with excellent fitting performance evidenced by high correlation coefficient (0.89-0.95) and low root mean square error (0.13-0.2 mg/kg), and high stability and predictive performance reflected by high internal and external verification coefficient (Q2LOO, 0.66-0.89; Q2F1, 0.62-0.78; Q2F2, 0.60-0.73). The investigated quantitative relationships between molecular structure and PNECs indicated that 18 autocorrelation descriptors, 3 information index descriptors, 4 barysz matrix descriptors, 6 burden modified eigenvalues descriptors, and 1 BCUT descriptor were important molecular descriptors affecting the PNECs of PHDs. The obtained results supported that PNECs of PHDs can be accurately estimated by the influencing molecular descriptors and the quantitative relationship from the developed QSAR models, that provided a new feasible solution for ESTs derivation in the ecological risk assessment.
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Affiliation(s)
- Jiajia Wei
- State Key Laboratory of Petroleum Pollution Control, CNPC Research Institute of Safety and Environmental Technology Co., Ltd, Beijing, 102206, China
- Hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University), Wuhan, 430100, China
- School of Resources and Environment, Yangtze University, Wuhan, 430100, China
| | - Lei Tian
- State Key Laboratory of Petroleum Pollution Control, CNPC Research Institute of Safety and Environmental Technology Co., Ltd, Beijing, 102206, China
- Hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University), Wuhan, 430100, China
- School of Petroleum Engineering, Yangtze University, Wuhan, 430100, China
| | - Fan Nie
- State Key Laboratory of Petroleum Pollution Control, CNPC Research Institute of Safety and Environmental Technology Co., Ltd, Beijing, 102206, China
| | - Zhiguo Shao
- State Key Laboratory of Petroleum Pollution Control, CNPC Research Institute of Safety and Environmental Technology Co., Ltd, Beijing, 102206, China
| | - Zhansheng Wang
- State Key Laboratory of Petroleum Pollution Control, CNPC Research Institute of Safety and Environmental Technology Co., Ltd, Beijing, 102206, China
| | - Yu Xu
- State Key Laboratory of Petroleum Pollution Control, CNPC Research Institute of Safety and Environmental Technology Co., Ltd, Beijing, 102206, China
| | - Mei He
- State Key Laboratory of Petroleum Pollution Control, CNPC Research Institute of Safety and Environmental Technology Co., Ltd, Beijing, 102206, China
- Hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University), Wuhan, 430100, China
- School of Resources and Environment, Yangtze University, Wuhan, 430100, China
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Zheng ZY, Ni HG. Predicted no-effect concentration for eight PAHs and their ecological risks in seven major river systems of China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167590. [PMID: 37802352 DOI: 10.1016/j.scitotenv.2023.167590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 09/22/2023] [Accepted: 10/03/2023] [Indexed: 10/10/2023]
Abstract
The initial step in the assessment of the ecological risk of pollutants is to determine the predicted no-effect concentration (PNEC). However, ecological risk assessments of eight carcinogenic polycyclic aromatic hydrocarbons (PAHs), including dimethylbenz[a]anthracene (DMBA), methylcholanthrene (MCA), benzo(a)anthracene (BaA), chrysene (CHR), benzo(b)fluoranthene (BbF), benzo(k)fluoranthene (BkF), benzo(a)pyrene (BaP), and dibenzo(a,h)anthracene (DBA), are rarely conducted due to the lack of their PNECs based on test data. In this study, quantitative structure-activity relationship (QSAR) models and interspecies correlation estimation (ICE) models were combined to predict the acute toxicity of these eight target PHAs. A Kolmogorov-Smirnov analysis for species sensitivity distributions (SSDs) of native and all species was conducted. There was no significant difference between the predictions for native Chinese species and the predictions for all species by the QSAR-ICE models. In addition, the feasibility of the QSAR-ICE models was demonstrated by comparing the SSD curves constructed by measured toxicity data of BaP and those predicted by the QSAR-ICE models. The PNECs of the eight PAHs were estimated based on the SSDs and acute to chronic ratio (ACR) method; these data were 0.071 μg/L, 0.033 μg/L, 0.049 μg/L, 0.114 μg/L, 0.019 μg/L, 0.021 μg/L, 0.038 μg/L and 0.054 μg/L for DMBA, DBA, BaP, MCA, BaA, CHR, BbF, BkF, respectively. The higher PNECs of the alkylated PAHs suggested their lower ecological risks. Based on the mixed risk quotient (mRQ) of PAHs through the concentration addition (CA) model, high ecological risk watersheds, such as the Songhua River (mRQ = 1.95), the Liao River (mRQ = 4.59), and the Huai River (mRQ = 1.93), were identified.
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Affiliation(s)
- Zi-Yi Zheng
- School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Hong-Gang Ni
- School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
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Sun X, Ding TT, Wang ZJ, Huang P, Liu SS. Optimized Derivation of Predicted No-Effect Concentrations (PNECs) for Eight Polycyclic Aromatic Hydrocarbons (PAHs) Using HC 10 Based on Acute Toxicity Data. TOXICS 2023; 11:563. [PMID: 37505529 PMCID: PMC10384761 DOI: 10.3390/toxics11070563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/29/2023]
Abstract
For persistent organic pollutants, a concern of environmental supervision, predicted no-effect concentrations (PNECs) are often used in ecological risk assessment, which is commonly derived from the hazardous concentration of 5% (HC5) of the species sensitivity distribution (SSD). To address the problem of a lack of toxicity data, the objectives of this study are to propose and apply two improvement ideas for SSD application, taking polycyclic aromatic hydrocarbons (PAHs) as an example: whether the chronic PNEC can be derived from the acute SSD curve; whether the PNEC may be calculated by HC10 to avoid solely statistical extrapolation. In this study, the acute SSD curves for eight PAHs and the chronic SSD curves for three PAHs were constructed. The quantity relationship of HC5s between the acute and chronic SSD curves was explored, and the value of the assessment factor when using HC10 to calculate PNEC was derived. The results showed that, for PAHs, the chronic PNEC can be estimated by multiplying the acute PNEC by 0.1, and the value of the assessment factor corresponding to HC10 is 10. For acenaphthene, anthracene, benzo[a]pyrene, fluoranthene, fluorene, naphthalene, phenanthrene, and pyrene, the chronic PNECs based on the acute HC10s were 0.8120, 0.008925, 0.005202, 0.07602, 2.328, 12.75, 0.5731, and 0.05360 μg/L, respectively.
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Affiliation(s)
- Xiao Sun
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Ting-Ting Ding
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Ze-Jun Wang
- National and Local Joint Engineering Laboratory of Municipal Sewage Resource Utilization Technology, School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Peng Huang
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Shu-Shen Liu
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
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Wang Y, Zhang M, Ding G, Shi H, Cong Y, Li Z, Wang J. Polystyrene microplastics alleviate adverse effects of benzo[a]pyrene on tissues and cells of the marine mussel, Mytilus galloprovincialis. AQUATIC TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2023; 256:106430. [PMID: 36812700 DOI: 10.1016/j.aquatox.2023.106430] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/14/2023] [Accepted: 02/15/2023] [Indexed: 06/18/2023]
Abstract
As two major ubiquitous pollutants, microplastics (MPs) and polycyclic aromatic hydrocarbons (PAHs) coexist in the marine environment. However, the role of MPs in altering the toxicity of PAHs to marine organisms is poorly understood. We therefore investigated the accumulation and toxicity of benzo[a]pyrene (B[a]P, 0.4 nM), in the marine mussel Mytilus galloprovincialis over a 4-day of exposure with or without the presence of 10 μm polystyrene microplastics (PS MPs) (10 particles/mL). The presence of PS MPs significantly decreased B[a]P accumulation in soft tissues of M. galloprovincialis by approximately 6.7%. Single exposure of PS MPs or B[a]P decreased the mean epithelial thickness (MET) of digestive tubules and enhanced reactive oxygen species (ROS) levels in haemolymph, while upon co-exposure the adverse impacts were alleviated. Real-time q-PCR results showed that most selected genes involved in stress response (FKBP, HSP90), immune (MyD88a, NF-κB) and detoxification (CYP4Y1) were induced for both single exposure and co-exposure. The co-presence of PS MPs down-regulated the mRNA expression of NF-κB in gills compared with of B[a]P alone. The uptake and toxicity reductions of B[a]P might result from the decrease of its bioavailable concentrations caused by the adsorption of B[a]P by PS MPs and the strong affinity of B[a]P to PS MPs. Adverse outcomes for the co-existence of marine emerging pollutants under long-term conditions remain to be further validated.
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Affiliation(s)
- Ying Wang
- Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China.
| | - Mingxing Zhang
- Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Guanghui Ding
- College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China
| | - Huahong Shi
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200241, China
| | - Yi Cong
- Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Zhaochuan Li
- Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China
| | - Juying Wang
- Key Laboratory for Ecological Environment in Coastal Areas, Ministry of Ecology and Environment, National Marine Environmental Monitoring Center, Dalian 116023, China.
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Wang Z, Qu C, Zhang J, Zhi L, Tang T, Yao H, Li W, Shi C, Qi S. Constructing model-averaging species sensitivity distributions of Phenanthrene based on reproductive fitness: Implications for assessing ecological risk in urban watershed. JOURNAL OF HAZARDOUS MATERIALS 2023; 443:130296. [PMID: 36372021 DOI: 10.1016/j.jhazmat.2022.130296] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/25/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
The challenge in optimizing the method of constructing species sensitivity distribution (SSD) remains. In this study, a model-averaging SSD was created to evaluate the ecological risk of Phenanthrene (PHE) in urban watershed based on reproductive fitness. Specifically, concentrations of PHE were measured in surface water samples collected from various watersheds of Wuhan, including five lake watersheds and the Wuhan reach of the Yangtze River and Han River. The reproductive endpoint of aquatic species was calculated to be most sensitive to PHE exposure, with the value of predict no-effect concentration (PNEC) at 0.19 μg/L. The results of probabilistic assessment methods, including joint probability curve (JPC), overall risk probability (ORP), and distribution-based quotient (DBQ), indicated that the ecological risks of PHE in large lakes have dropped significantly with distance from the downtown area of Wuhan, and the long-term effects of industrial activities may increase the risks in the lake watersheds. Basically, the ecological risks in Yangtze River are negligible; however, there is a relatively high risk of PHE in the Han River and some lake watersheds. The cos θ similarity analysis indicated the Yangtze River is strongly connected to the low-risk lake watersheds, and that in part reflects the risk in the Yangtze River being controlled by its surrounding these lake watersheds.
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Affiliation(s)
- Zefan Wang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Chengkai Qu
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China.
| | - Jiawei Zhang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Lihao Zhi
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Tiandong Tang
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Huang Yao
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Wenping Li
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Changhe Shi
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
| | - Shihua Qi
- State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, China
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Amaringo F, Puerta Y, Molina F. Probabilistic Risk Assessment of Polycyclic Aromatic Hydrocarbons in a Colombian Reservoir. BULLETIN OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2022; 109:518-525. [PMID: 35869989 PMCID: PMC9392700 DOI: 10.1007/s00128-022-03567-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 06/20/2022] [Indexed: 06/15/2023]
Abstract
The purpose of this research was to evaluate the concentrations, sources and ecological risk assessment of sixteen polycyclic aromatic hydrocarbons (PAHs) present in water from the La Fe reservoir, Colombia in the months of October and November of 2017 and 2018. Concentrations of PAHs in water were measured with semipermeable membrane devices (SPMD) which allow obtaining the dissolved concentrations of the PAHs in the reservoir, emphasizing the reactivity and bioavailability in the environment. The PAHs analyses were carried out by means of gas chromatography, coupled with tandem mass spectrometry (GC/MS-MS) with triple quadrupole (QqQ). The environmental risk assessment using the estimation of risk quotient with deterministic and probabilistic method, the predictive no-effect concentration (PNEC) and environmental exposure concentration (EEC) in water indicate a negligibe risk for probabilistic method for all PAHs evaluated (RQ < 0.1).
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Affiliation(s)
- F Amaringo
- Research Group in Management and Environmental Modeling, GAIA, University of Antioquia, Medellín, Colombia.
| | - Y Puerta
- Research Group GeoLimna, Faculty of Engineering, University of Antioquia, 67th Street # 53 - 108, Medellín, Colombia
| | - F Molina
- Research Group in Management and Environmental Modeling, GAIA, University of Antioquia, Medellín, Colombia
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Guan Q, Liu Z, Shao W, Tian J, Luo H, Ni F, Shan Y. Probabilistic risk assessment of heavy metals in urban farmland soils of a typical oasis city in northwest China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 833:155096. [PMID: 35398134 DOI: 10.1016/j.scitotenv.2022.155096] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/30/2022] [Accepted: 04/03/2022] [Indexed: 06/14/2023]
Abstract
Previous studies lacked quantitative evaluation studies of the probability of ecology and human health risks from soil heavy metals. This study assessed heavy metal risk level by collecting topsoil samples from a typical oasis city (Wuwei) in northwest China and then quantitatively evaluating the ecological risk from heavy metals by incorporating the uncertainty of health risk model parameters into the risk assessment. This study found that anthropogenic activities have influenced the accumulation of heavy metals in the study area and that the risk of contamination of soil heavy metals was characterized as light to moderate contamination and low ecological risk. On this basis, the species sensitivity distribution curves of heavy metals were constructed using species acute toxicity data, the predicted no effect concentrations of heavy metals were derived, and a probabilistic ecological risk evaluation was conducted. The results show that the current soil environmental quality standards in China are not effective in protecting species diversity. In addition, the probability of ecological risk for Cr, Ni and As in the study area was 63.3%, 23.8% and 7.1%, however, traditional pollution assessment methods underestimate the hazard of Cr. Monte Carlo simulations have shown that the probability of the carcinogenic risk of Cr (adults: 79.4%; children: 94.5%) and As (adults: 78.9%; children: 94.0%) is high, the probability of the total carcinogenic risk exceeding 1E-06 is 99.0%, the probability of the non-carcinogenic risk is low, and the slope factor and reference dose can significantly affect the evaluation of human health risks.
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Affiliation(s)
- Qingyu Guan
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.
| | - Zhan Liu
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Wenyan Shao
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Jing Tian
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Haiping Luo
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Fei Ni
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yuxin Shan
- Gansu Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
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Deng S, Yan X, Zhu Q, Liao C. The utilization of reclaimed water: Possible risks arising from waterborne contaminants. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 254:113020. [PMID: 31421574 DOI: 10.1016/j.envpol.2019.113020] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 07/11/2019] [Accepted: 08/04/2019] [Indexed: 05/04/2023]
Abstract
Increasing interest of seeking substitutable water resources accrues from shortage of freshwater. One of the options considered is reclaimed water (also designated as recycled water) that has been widely used in daily life. Although reclaimed water can serve as a feasible reliever of water pressure, attention about its technologies and potential risks is growing in the meantime. Most established wastewater treatment plants (WWTPs) predate many new contaminants, which means treatment processes cannot ensure to dislodge certain contaminants completely from origin water. Furthermore, a wide range of factors, such as seasons and influent variations, affect occurrence and concentration of reclaimed water-borne contaminants, making research about quality of reclaimed water especially significant. Many reclaimed water-borne contaminants, including biological and chemical contaminants, are toxic to human health, and complex wastewater matrix may aggravate water quality of concern. The widespread use of reclaimed water continues to be a concern on agriculture, ecological environment and human health. This study aims to: 1) provide a critical review about occurrence and profiles of diverse contaminants in the treated reclaimed water, 2) discuss the possibility to avoid the secondary pollution in reuse of reclaimed water, and 3) reveal the prospective consequences of using reclaimed water on agriculture, ecological environment and human health.
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Affiliation(s)
- Shenxi Deng
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xueting Yan
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qingqing Zhu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chunyang Liao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Institute of Environment and Health, Jianghan University, Wuhan, Hubei 430056, China.
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Tong Y, Chen L, Liu Y, Wang Y, Tian S. Distribution, sources and ecological risk assessment of PAHs in surface seawater from coastal Bohai Bay, China. MARINE POLLUTION BULLETIN 2019; 142:520-524. [PMID: 31232332 DOI: 10.1016/j.marpolbul.2019.04.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Revised: 03/22/2019] [Accepted: 04/02/2019] [Indexed: 06/09/2023]
Abstract
The distribution, composition, potential sources and ecological risk of 16 US EPA priority polycyclic aromatic hydrocarbons (PAHs) were investigated in surface water from coastal Bohai Bay. The PAH concentrations ranged from 48.0 to 607 ng L-1 with the mean value of 267 ng L-1 in dissolved phase and 198 to 935 ng L-1 with the mean value of 424 ng L-1 in particle-associated phase, and decreased following the order: Qinhuangdao (QHD) > Caofeidian (CFD) > Huanghuagang (HHG). The 2-3 ring PAHs accounted for 79.9% to 86.2% in particle-associated phase and 65.6% to 73.2% in dissolved phase of total 16 PAHs, in which naphthalene (Nap) was the most dominant compound. The PAHs in surface seawater mainly originated from petrogenic sources according to the molecular ratios of benzo[a]anthracene/228 and fluoranthene/202. Risk quotients indicated that there was potential ecological risk for PAHs in surface seawater, especially for pyrene and fluorene.
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Affiliation(s)
- Yifan Tong
- College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Li Chen
- College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Yan Liu
- College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Yaning Wang
- College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Shengyan Tian
- College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin 300457, PR China; Tianjin Marine Environmental Protection and Restoration Technology Engineering Center, Tianjin 300457, PR China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin 300457, PR China.
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10
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Xu Y, Liu T, Zhu X, Ji G. Quantitative analysis of genetic associations in the biodegradative pathway of PAHs in wetland sediments of the Bohai coast region. CHEMOSPHERE 2019; 218:282-291. [PMID: 30472612 DOI: 10.1016/j.chemosphere.2018.11.059] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 10/08/2018] [Accepted: 11/09/2018] [Indexed: 06/09/2023]
Abstract
The present study characterized the distribution and sources of polycyclic aromatic hydrocarbons (PAHs) in 57 sediment cores collected from estuary and tidal flat wetlands in the Bohai coast region and investigated the molecular degradation mechanism of PAHs. The results showed that the PAH concentrations in estuary sediments were significantly higher than in tidal flat sediments. PAH patterns and pollutant sources were more complicated in estuary sediments. Quantitative response relationships showed that in estuary sediments, the key factors affecting PAH degradation changed from initial dioxygenase genes and C23O to salicylate hydroxylase genes and C23O with an increase in the PAH ring number. In contrast, for tidal flat sediments, the initial dioxygenase genes remained the key factors (nidA and nahAc/nagAc, except only nidA for 5-ring PAHs) related to PAHs with different ring numbers. Non-metric multidimensional scaling (NMDS) analysis revealed that the lower catechol dioxygenase pathway coupled with the upper pyrene dioxygenase pathway. The total polycyclic aromatic hydrocarbon (TPAH) level across the Bohai coast region was most affected by catechol dioxygenation (catA + C23O). Catechol dioxygenation was directly affected by naphthalene dioxygenation/nahG ((nahAc + nagAc)/nahG), indicating that the interaction within the upper pathway coupled with the lower pathway. In addition, TOC had direct positive effects on catechol dioxygenation and nidA. This study improves our understanding of the biodegradative pathway of PAHs with different ring numbers and the response of PAHs to biotic and abiotic factors.
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Affiliation(s)
- Yichan Xu
- Key Laboratory of Water and Sediment Sciences, Ministry of Education, Department of Environmental Engineering, Peking University, Beijing 100871, China
| | - Tiantian Liu
- Beijing Forestry University, Beijing 100083, China
| | - Xianfang Zhu
- Key Laboratory of Water and Sediment Sciences, Ministry of Education, Department of Environmental Engineering, Peking University, Beijing 100871, China
| | - Guodong Ji
- Key Laboratory of Water and Sediment Sciences, Ministry of Education, Department of Environmental Engineering, Peking University, Beijing 100871, China.
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Wang Y, Na G, Zong H, Ma X, Yang X, Mu J, Wang L, Lin Z, Zhang Z, Wang J, Zhao J. Applying adverse outcome pathways and species sensitivity-weighted distribution to predicted-no-effect concentration derivation and quantitative ecological risk assessment for bisphenol A and 4-nonylphenol in aquatic environments: A case study on Tianjin City, China. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2018; 37:551-562. [PMID: 28984376 DOI: 10.1002/etc.3994] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 06/15/2017] [Accepted: 10/02/2017] [Indexed: 06/07/2023]
Abstract
Adverse outcome pathways (AOPs) are a novel concept that effectively considers the toxic modes of action and guides the ecological risk assessment of chemicals. To better use toxicity data including biochemical or molecular responses and mechanistic data, we further developed a species sensitivity-weighted distribution (SSWD) method for bisphenol A and 4-nonylphenol. Their aquatic predicted-no-effect concentrations (PNECs) were derived using the log-normal statistical extrapolation method. We calculated aquatic PNECs of bisphenol A and 4-nonylphenol with values of 4.01 and 0.721 µg/L, respectively. The ecological risk of each chemical in different aquatic environments near Tianjin, China, a coastal municipality along the Bohai Sea, was characterized by hazard quotient and probabilistic risk quotient assessment techniques. Hazard quotients of 7.02 and 5.99 at 2 municipal sewage sites using all of the endpoints were observed for 4-nonylphenol, which indicated high ecological risks posed by 4-nonylphenol to aquatic organisms, especially endocrine-disrupting effects. Moreover, a high ecological risk of 4-nonylphenol was indicated based on the probabilistic risk quotient method. The present results show that combining the SSWD method and the AOP concept could better protect aquatic organisms from adverse effects such as endocrine disruption and could decrease uncertainty in ecological risk assessment. Environ Toxicol Chem 2018;37:551-562. © 2017 SETAC.
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Affiliation(s)
- Ying Wang
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Guangshui Na
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Humin Zong
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Xindong Ma
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Xianhai Yang
- Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing, Jiangsu, China
| | - Jingli Mu
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Lijun Wang
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Zhongsheng Lin
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Zhifeng Zhang
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Juying Wang
- Key Laboratory for Ecological Environment in Coastal Areas, State Oceanic Administration, National Marine Environmental Monitoring Center, Dalian, Liaoning, China
| | - Jinsong Zhao
- College of Resources and Environment, Huazhong Agricultural University, Hongshan District, Wuhan, Hubei, China
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12
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Zhao W, Wang B, Wang Y, Deng S, Huang J, Yu G. Deriving acute and chronic predicted no effect concentrations of pharmaceuticals and personal care products based on species sensitivity distributions. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2017; 144:537-542. [PMID: 28688354 DOI: 10.1016/j.ecoenv.2017.06.058] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2017] [Revised: 06/19/2017] [Accepted: 06/20/2017] [Indexed: 06/07/2023]
Abstract
Pharmaceuticals and personal care products (PPCPs), as emerging contaminants, have been detected in various environmental matrices and caused adverse effects on human health and the ecosystem. But water quality criterias (WQCs) of PPCPs for protecting aquatic environment are lacking, which hinders the environmental management of these emerging contaminants. In the present study, in order to support their WQC derivation, acute and chronic hazardous concentrations for 5% of species (HC5s) of some frequently detected PPCPs in China were calculated based on acute and chronic species sensitivity distributions (SSDs), respectively, using both parametric (log-normal and log-logistic) and nonparametric bootstrap approaches. The groups of aquatic species used in SSDs included planktons, zooplanktons, invertebrates and vertebrates. Acute and chronic predicted no effect concentrations (PNECs) were derived from the HC5s. The acute PNECs of the selected PPCPs were in a range from 1.1 to 4993μg/L. While the chronic PNECs were one or two orders of magnitude lower than the acute PNECs, with a range from 0.02 to 298μg/L. Among these PPCPs, the compound with the highest acute effect on the aquatic environment was clarithromycin while erythromycin was the one with the highest chronic toxicity effect. Among the studied PPCPs, erythromycin caused a relatively higher aquatic ecological risk in China. This study helps derive WQCs of PPCPs in the aquatic environment, which is essential for environmental managment of these emerging contaminants.
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Affiliation(s)
- Wenxing Zhao
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Collaborative Innovation Center for Regional Environmental Quality, Tsinghua University, Beijing 100084, China
| | - Bin Wang
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Collaborative Innovation Center for Regional Environmental Quality, Tsinghua University, Beijing 100084, China.
| | - Yujue Wang
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Collaborative Innovation Center for Regional Environmental Quality, Tsinghua University, Beijing 100084, China
| | - Shubo Deng
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Collaborative Innovation Center for Regional Environmental Quality, Tsinghua University, Beijing 100084, China
| | - Jun Huang
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Collaborative Innovation Center for Regional Environmental Quality, Tsinghua University, Beijing 100084, China
| | - Gang Yu
- Beijing Key Laboratory of Emerging Organic Contaminants Control, State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Collaborative Innovation Center for Regional Environmental Quality, Tsinghua University, Beijing 100084, China
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13
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Wang C, Zhou S, Wu S, Song J, Shi Y, Li B, Chen H. Surface water polycyclic aromatic hydrocarbons (PAH) in urban areas of Nanjing, China. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2017; 76:2150-2157. [PMID: 29068344 DOI: 10.2166/wst.2017.387] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The concentration, sources and environmental risks of polycyclic aromatic hydrocarbons (PAHs) in surface water in urban areas of Nanjing were investigated. The range of ∑16PAHs concentration is between 4,076 and 29,455 ng/L, with a mean of 17,212 ng/L. The composition of PAHs indicated that 2- and 3-ring PAHs have the highest proportion in all PAHs, while the 5- and 6-ring PAHs were the least in proportion. By diagnostic ratio analysis, combustion and petroleum were a mixture input that contributed to the water PAH in urban areas of Nanjing. Positive matrix factorization quantitatively identified four factors, including coke oven, coal combustion, oil source, and vehicle emission, as the main sources. Toxic equivalency factors of BaP (BaPeq) evaluate the environmental risks of PAHs and indicate the PAH concentration in surface water in urban areas of Nanjing had been polluted and might cause potential environmental risks. Therefore, the PAH contamination in surface water in urban areas of Nanjing should draw considerable attention.
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Affiliation(s)
- Chunhui Wang
- School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Qixia District, Nanjing, Jiangsu 210023, China E-mail:
| | - Shenglu Zhou
- School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Qixia District, Nanjing, Jiangsu 210023, China E-mail:
| | - Shaohua Wu
- School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Qixia District, Nanjing, Jiangsu 210023, China E-mail:
| | - Jing Song
- School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Qixia District, Nanjing, Jiangsu 210023, China E-mail:
| | - Yaxing Shi
- School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Qixia District, Nanjing, Jiangsu 210023, China E-mail:
| | - Baojie Li
- School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Qixia District, Nanjing, Jiangsu 210023, China E-mail:
| | - Hao Chen
- School of Geographic and Oceanographic Sciences, Nanjing University, 163 Xianlin Road, Qixia District, Nanjing, Jiangsu 210023, China E-mail:
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14
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Niu Z, Li X, Zhang Y. Composition profiles, levels, distributions and ecological risk assessments of trihalomethanes in surface water from a typical estuary of Bohai Bay, China. MARINE POLLUTION BULLETIN 2017; 117:124-130. [PMID: 28153498 DOI: 10.1016/j.marpolbul.2017.01.041] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2016] [Revised: 01/10/2017] [Accepted: 01/23/2017] [Indexed: 06/06/2023]
Abstract
To characterize the spatiotemporal distribution and potential ecological risk for trihalomethanes (THMs) in the surface water of a river estuary, surface water samples were collected over five consecutive months (from March to July 2016) from four sites in the Haihe River estuary of Bohai Bay. The potential ecological risks of THMs were evaluated quantitatively based on a species sensitivity distribution (SSD) model. The results demonstrate that trichloromethane (TCM) was the predominant THM in surface water of the Haihe River estuary (2.93±1.98μg/L) followed by tribromomethane (TBM) (0.42±0.33μg/L), bromodichloromethane (BDCM) (0.14±0.06μg/L) and dibromochloromethane (DBCM) (0.09±0.10μg/L). The concentration of TCM was higher in summer than that in spring, while TBM displayed the opposite trend. The TCM concentration decreased from the estuary to the adjacent sea. However, the levels of TBM and DBCM in the adjacent sea were higher than those in the estuary. The ecological risks of THMs in surface water of Haihe River were notably low, and the ecological risks of THMs in freshwater were generally higher than those in seawater. Compared with other contaminants in water and surface sediment from rivers and coastal areas, the ecological risk levels of THMs in surface water can be considered low. This study is a contribution to the progress of ecological risk assessment of THMs.
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Affiliation(s)
- Zhiguang Niu
- School of Marine Science and Technology, Tianjin University, Tianjin 300072, China.
| | - Xiaonan Li
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China.
| | - Ying Zhang
- MOE Key Laboratory of Pollution Processes and Environmental Criteria, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
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15
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Wang Y, Wang J, Mu J, Wang Z, Cong Y, Yao Z, Lin Z. Aquatic predicted no-effect concentrations of 16 polycyclic aromatic hydrocarbons and their ecological risks in surface seawater of Liaodong Bay, China. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2016; 35:1587-1593. [PMID: 26517571 DOI: 10.1002/etc.3295] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2015] [Revised: 07/13/2015] [Accepted: 10/27/2015] [Indexed: 06/05/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs), a class of ubiquitous pollutants in marine environments, exhibit moderate to high adverse effects on aquatic organisms and humans. However, the lack of PAH toxicity data for aquatic organism has limited evaluation of their ecological risks. In the present study, aquatic predicted no-effect concentrations (PNECs) of 16 priority PAHs were derived based on species sensitivity distribution models, and their probabilistic ecological risks in seawater of Liaodong Bay, Bohai Sea, China, were assessed. A quantitative structure-activity relationship method was adopted to achieve the predicted chronic toxicity data for the PNEC derivation. Good agreement for aquatic PNECs of 8 PAHs based on predicted and experimental chronic toxicity data was observed (R(2) = 0.746), and the calculated PNECs ranged from 0.011 µg/L to 205.3 µg/L. A significant log-linear relationship also existed between the octanol-water partition coefficient and PNECs derived from experimental toxicity data (R(2) = 0.757). A similar order of ecological risks for the 16 PAH species in seawater of Liaodong Bay was found by probabilistic risk quotient and joint probability curve methods. The individual high ecological risk of benzo[a]pyrene, benzo[b]fluoranthene, and benz[a]anthracene needs to be determined. The combined ecological risk of PAHs in seawater of Liaodong Bay calculated by the joint probability curve method was 13.9%, indicating a high risk as a result of co-exposure to PAHs. Environ Toxicol Chem 2016;35:1587-1593. © 2015 SETAC.
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Affiliation(s)
- Ying Wang
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Dalian, China
| | - Juying Wang
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Dalian, China
| | - Jingli Mu
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Dalian, China
| | - Zhen Wang
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Dalian, China
| | - Yi Cong
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Dalian, China
| | - Ziwei Yao
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Dalian, China
| | - Zhongsheng Lin
- Key Laboratory for Ecological Environment in Coastal Areas, National Marine Environmental Monitoring Center, Dalian, China
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16
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Karami A, Teh SJ, Zakaria MP, Courtenay SC. Ploidy-, gender-, and dose-dependent alteration of selected biomarkers in Clarias gariepinus treated with benzo[a]pyrene. J Environ Sci (China) 2015; 38:95-102. [PMID: 26702972 DOI: 10.1016/j.jes.2015.05.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2015] [Revised: 02/10/2015] [Accepted: 05/04/2015] [Indexed: 06/05/2023]
Abstract
Naturally-occurring and artificially-induced polyploids have been documented in various fish species but to date no comparison has been reported of the impacts of ploidy on fish biomarker responses to organic pollutants. This study describes effects of ploidy, gender, and dose on biliary fluorescent aromatic compound (FAC) concentrations, hepatic ethoxyresorufin-O-deethylase (EROD) and glutathione S-transferase (GST) activities in one of the most commonly cultured warm-water species, the African catfish Clarias gariepinus. Recently matured male and female diploid and triploid fish were intraperitoneally (i.p.) injected with 0, 5 or 25mg/kg benzo[a]pyrene (BaP) and liver and gallbladder were sampled 48hr later. No significant differences were found between ploidies in bile concentrations of 7,8 dihydrodiolbenzo[a]pyrene (7,8D BaP), 1-hydroxybenzo[a]pyrene (1-OH BaP) or 3-hydroxybenzo[a]pyrene (3-OH BaP). However, concentrations of the biliary FACs did differ between males and females at different dose of injection with generally higher concentrations in females at the low dose of BaP and higher concentrations in males at the higher BaP concentration. Hepatic EROD activity did not exhibit gender-dependent difference, whereas it was significantly higher in triploids than diploids. GST activities were not significantly influenced by any of the tested factors. This work advanced our understanding of the role of ploidy, gender, and dose in biotransformation of pollutants in fish.
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Affiliation(s)
- Ali Karami
- Laboratory of Aquatic Toxicology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 Selangor, Malaysia.
| | - Swee J Teh
- School of Veterinary Medicine, Department of Anatomy, Physiology, and Cell Biology, University of California, Davis, CA 95616, USA
| | - Mohamad Pauzi Zakaria
- Centre of Excellence for Environmental Forensics, Faculty of Environmental Studies, Universiti Putra Malaysia, 43400, UPM, Selangor, Malaysia
| | - Simon C Courtenay
- Department of Environment and Resource Studies, Canadian Water Network, Canadian Rivers Institute, University of Waterloo, Canada
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Zhao X, Qiu H, Zhao Y, Shen J, Chen Z, Chen J. Distribution of polycyclic aromatic hydrocarbons in surface water from the upper reach of the Yellow River, Northwestern China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2015; 22:6950-6956. [PMID: 25475612 DOI: 10.1007/s11356-014-3846-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2014] [Accepted: 11/10/2014] [Indexed: 06/04/2023]
Abstract
The concentrations of 16 polycyclic aromatic hydrocarbons (PAHs) in water, suspended particulate matters (SPMs), and sediments in the Lanzhou reach of the Yellow River were investigated in this study. The total PAH concentrations ranged from 548 to 2598 ng/L in water, 1502 to 11,562 ng/g in SPMs, and 181 to 1583 ng/g in sediments. The compositions of PAHs showed that 2- to 3-ring PAHs were abundant in water, 2- to 4-ring PAHs were predominant in SPMs, and 2- to 5-ring PAHs were abundant in sediments. The spatial distribution of PAHs was site-specific and PAHs varied at different sampling locations. The diagnostic ratio analysis indicated that the PAHs mainly had a pyrolytic source. The ecological risk assessment showed that the ecosystem risk of PAHs was low in the Lanzhou reach of the Yellow River.
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Affiliation(s)
- Xia Zhao
- College of Petrochemical Technology, Lanzhou University of Technology, Lanzhou, 730050, China,
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18
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Li P, Cao J, Diao X, Wang B, Zhou H, Han Q, Zheng P, Li Y. Spatial distribution, sources and ecological risk assessment of polycyclic aromatic hydrocarbons in surface seawater from Yangpu Bay, China. MARINE POLLUTION BULLETIN 2015; 93:53-60. [PMID: 25726067 DOI: 10.1016/j.marpolbul.2015.02.015] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Revised: 01/31/2015] [Accepted: 02/11/2015] [Indexed: 05/27/2023]
Abstract
The occurrence of 14 polycyclic aromatic hydrocarbons (PAHs) listed by the United States Environmental Protection Agency was investigated in surface seawater of Yangpu Bay, China in November 2013 (winter) and May 2014 (summer). Seventy-two samples were collected from 12 sampling sites. The total concentrations of PAHs in Yangpu Bay showed obvious variations in different seasons, which varied from 582.8 to 2208.3 ng L(-1) in winter and 952.4 to 1201.7 ng L(-1) in summer, respectively. Two-ring PAHs accounted for more than 91.6% of total PAHs in winter, and three-ring PAHs were dominant with 81.6% of total PAHs in summer. Molecular indices analyses indicated that the main source of PAHs in Yangpu Bay could be petrogenic contamination. The ecological risk assessment by Risk quotients (RQNCs and RQMPCs) showed a potential ecological risk of PAHs in Yangpu Bay, indicating a close attention should be paid to pollution of PAHs in the coastal area of Yangpu.
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Affiliation(s)
- Ping Li
- College of Environment and Plant Protection, Hainan University, Haikou 570228, China; Haikou Key Laboratory of Environment Toxicology, Haikou 570228, China
| | - Jia Cao
- College of Agriculture, Hainan University, Haikou 570228, China; Haikou Key Laboratory of Environment Toxicology, Haikou 570228, China; College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
| | - Xiaoping Diao
- College of Environment and Plant Protection, Hainan University, Haikou 570228, China; College of Agriculture, Hainan University, Haikou 570228, China; Haikou Key Laboratory of Environment Toxicology, Haikou 570228, China.
| | - Baihua Wang
- Petrochemical Analytical and Testing Center, Yangpu Entry-Exit Inspection and Quarantine Bureau Technology Center, Hainan 578101, China
| | - Hailong Zhou
- College of Agriculture, Hainan University, Haikou 570228, China.
| | - Qian Han
- College of Agriculture, Hainan University, Haikou 570228, China
| | - Pengfei Zheng
- College of Agriculture, Hainan University, Haikou 570228, China; Haikou Key Laboratory of Environment Toxicology, Haikou 570228, China
| | - Yuhu Li
- College of Agriculture, Hainan University, Haikou 570228, China
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Development of a promising fish model (Oryzias melastigma) for assessing multiple responses to stresses in the marine environment. BIOMED RESEARCH INTERNATIONAL 2014; 2014:563131. [PMID: 24724087 PMCID: PMC3958766 DOI: 10.1155/2014/563131] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Revised: 01/08/2014] [Accepted: 01/23/2014] [Indexed: 12/02/2022]
Abstract
With the increasing number of contaminants in the marine environment, various experimental organisms have been “taken into labs” by investigators to find the most suitable environmentally relevant models for toxicity testing. The marine medaka, Oryzias melastigma, has a number of advantages that make it a prime candidate for these tests. Recently, many studies have been conducted on marine medaka, especially in terms of their physiological, biochemical, and molecular responses after exposure to contaminants and other environmental stressors. This review provides a literature survey highlighting the steady increase of ecotoxicological research on marine medaka, summarizes the advantages of using O. melastigma as a tool for toxicological research, and promotes the utilization of this organism in future studies.
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