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Ge S, Tian W, Lou Z, Wang X, Zhuang LL, Zhang J. Long-term toxicity assessment of antibiotics against Vibrio fischeri: Test method optimization and mixture toxicity prediction. JOURNAL OF HAZARDOUS MATERIALS 2024; 469:133933. [PMID: 38452674 DOI: 10.1016/j.jhazmat.2024.133933] [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: 01/18/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/09/2024]
Abstract
The current luminescent bacteria test for acute toxicity with short contact time was invalid for antibiotics, and the non-uniformed contact times reported in the literature for long-term toxicity assessment led to incomparable results. Herein, a representative long-term toxicity assessment method was established which unified the contact time of antibiotics and Vibrio fischeri within the bioluminescence increasing period (i.e. 10-100% maximum luminescence) of control samples. The effects of excitation and detoxification of antibiotics such as β-lactams were discovered. Half maximal inhibitory concentration (IC50) of toxic antibiotics (0.00069-0.061 mmol/L) obtained by this method was 2-3 orders of magnitude lower than acute test, quantifying the underestimated toxicity. As antibiotics exist in natural water as mixtures, an equivalent concentration addition (ECA) model was built to predict mixture toxicity based on physical mechanism rather than mathematical method, which showed great fitting results (R2 = 0.94). Furthermore, interaction among antibiotics was investigated. Antibiotics acting during bacterial breeding period had strong synergistic inhibition (IC50 relative deviation from 0.1 to 0.6) such as macrolides and quinolones. Some antibiotics produced increasing synergistic inhibition during concentration accumulation, such as macrolides. The discharge of antibiotics with severe long-term toxicity and strong synergistic inhibition effect should be seriously restricted.
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Affiliation(s)
- Shuhan Ge
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science & Engineering, Shandong University, Qingdao, Shandong 266237, China
| | - Wanqing Tian
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science & Engineering, Shandong University, Qingdao, Shandong 266237, China
| | - Ziyi Lou
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science & Engineering, Shandong University, Qingdao, Shandong 266237, China
| | - Xiaoxiong Wang
- Institute for Ocean Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
| | - Lin-Lan Zhuang
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science & Engineering, Shandong University, Qingdao, Shandong 266237, China.
| | - Jian Zhang
- Shandong Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science & Engineering, Shandong University, Qingdao, Shandong 266237, China; College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, 88 Wenhua East Road, Jinan, Shandong 250014, PR China
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Liu Y, Guo L, Yang H, Wang Z. Short-term influence of polytetrafluoroethylene micro/nano-plastics on the inhibition of copper and/or ciprofloxacin on the nitrifying sludge activities based on concentration addition and independent action models. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119844. [PMID: 38103424 DOI: 10.1016/j.jenvman.2023.119844] [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: 09/26/2023] [Revised: 11/29/2023] [Accepted: 12/05/2023] [Indexed: 12/19/2023]
Abstract
Short-term influence of polytetrafluoroethylene micro/nano-plastics (PTFE-MPs/NPs) on the inhibition of copper (Cu2+) and/or ciprofloxacin (CIP) on the nitrifying sludge activities was explored based on concentration addition (CA) and independent action (IA) models. The half maximal inhibitory concentration (IC50) of Cu2+, CIP, PTFE-MPs (3 μm), and PTFE-NPs (800 nm) on the specific ammonium oxidation rate (SAOR) of nitrifying sludge was 64.57, 51.29, 102.33 and 93.33 mg L-1, respectively, while those on the specific nitrite oxidation rate (SNOR) of nitrifying sludge were 77.62, 32.36, 104.70 and 97.72 mg L-1, respectively. Among the five binary mixtures and two ternary mixtures composed by Cu2+, CIP, and/or PTFE-MPs/NPs, it was found that the two joint inhibitory actions from ternary mixtures on the SAOR and SNOR of the sludge showed time-dependent characteristics by analyzing of CA and IA models, while the five combined inhibitory effects from different binary mixtures did not all have time-dependent features. The two joint inhibition actions from diverse ternary mixtures on the SAOR at the exposure time of 60 min and on the SNOR at 90 min showed always concentration-dependent features, while the combined inhibitions with concentration-dependent characteristics had never been observed in the binary Cu2+ and PTFE-NPs mixtures at different exposure time. The Cu2+, CIP, and PTFE-MPs mixtures (or Cu2+, CIP, and PTFE-NPs mixtures) had synergistic actions on the SAOR at 90 min and antagonistic effects on the SNOR at 60 min based on CA and IA models, and these combined inhibitions did not exhibit concentration-dependent characteristics. In contrast, the joint inhibitory effects (on the SAOR and SNOR) with concentration-dependent features were found in the binary mixtures of CIP and PTFE-MPs at different exposure time, and the join inhibition changed from synergism to antagonism as the increasing concentration of mixed CIP and PTFE-MPs. This study provides novel perspectives for understanding the combined influence of plastic particles with different sizes, antibiotics, and heavy metals on the biological wastewater treatment process.
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Affiliation(s)
- Yang Liu
- College of Environment Science, Liaoning University, Shenyang, China
| | - Liming Guo
- College of Environment Science, Liaoning University, Shenyang, China
| | - Huan Yang
- College of Environment Science, Liaoning University, Shenyang, China
| | - Zichao Wang
- College of Environment Science, Liaoning University, Shenyang, China.
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Wang N, Sun J, Ma X, Yang X, Wang X, Zhang Y, Zhou J, Wang J, Ge C. A study of long-term toxicity of multiple mixtures with hormetic effects by the characteristic parameter σ 2(k∙ECx) and stepwise method. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2023; 100:104133. [PMID: 37116630 DOI: 10.1016/j.etap.2023.104133] [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: 01/03/2023] [Revised: 03/01/2023] [Accepted: 04/24/2023] [Indexed: 05/12/2023]
Abstract
A previous study found that the characteristic parameter σ2(k∙ECx) (the concentration ECx and slope k of the concentrationresponse curve (CRC) at the effect x %) can predict the acute combined toxicity of multiple mixtures with S-shaped CRCs. In this paper, the competence of σ2(k∙ECx) to predict the long-term toxicity of multiple mixtures with J-shaped CRCs was explored using the Aliivibrio fischeri as the test organism. The combined toxicity was evaluated by the independent action (IA) model and the effect ratio (ERx) model. The stepwise method was used to divide J-shaped CRC into ML and MR (SL and SR). The results showed that the σ2(k∙ECx) and ERx of each segment was in good agreement with the exponential function. A new type of mixture was added to the original type A and type B, whose rules of interaction were opposite to those of type B (named opposite B, OB). This paper improves the understanding and analysis of the J-shaped CRCs in environmental risk assessment.
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Affiliation(s)
- Na Wang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China.
| | - Jiajing Sun
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Xiaoyan Ma
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Engineering Technology Research Center for Wastewater Treatment and Reuse, Key Laboratory of Environmental Engineering, Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
| | - Xinyue Yang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Xiaochang Wang
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Engineering Technology Research Center for Wastewater Treatment and Reuse, Key Laboratory of Environmental Engineering, Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
| | - Yujiao Zhang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Jinhong Zhou
- College of Geography and Environment, Baoji University of Arts and Sciences, Baoji, Shaanxi 721013, China
| | - Jiaxuan Wang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Chengmin Ge
- Shandong Dongyuan New Material Technology Co., Ltd, Dongying 257300, Shandong, China
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Wang N, Zhang H, Ma X, Zhang J, Sun J, Wang X, Zhou J, Wang J, Ge C. Joint action of binary mixtures based on parameter k·EC x from concentration-response curves in long-term toxicity assay. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2022; 94:103917. [PMID: 35779704 DOI: 10.1016/j.etap.2022.103917] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/16/2022] [Accepted: 06/20/2022] [Indexed: 06/15/2023]
Abstract
A previous acute toxicity study of binary mixtures showed that the combined toxicity can be predicted with the parameter k∙ECx. To systematically investigate the ability of k∙ECx to predict the chronic combined toxicity of binary mixtures, the toxicity of six contaminants and five binary mixtures was determined by long-term microplate toxicity analysis (L-MTA) using Aliivibrio fischeri as the test organism. The independent action model (IA) and the relative model deviation ratio (rMDR) were employed to determine the relationship between the Δ(k∙ECx)% and rMDRx. The results showed that these two factors conformed to the exponential function in long-term toxicity. Owing to the time-dependence of toxicity, the mixture type of chronic toxicity changes to the relative type of acute toxicity. If the acute toxicity of binary mixtures changes their mode of joint action throughout the concentration range, the chronic toxicity will also change their mode of joint action, and vice versa. This study clarified the change rules of the joint action of binary mixtures in acute and chronic toxicity which can promote research on chronic toxicity of binary mixtures.
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Affiliation(s)
- Na Wang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China.
| | - Huanle Zhang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Xiaoyan Ma
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Engineering Technology Research Center for Wastewater Treatment and Reuse, Key Laboratory of Environment Engineering, Shaanxi, Province, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China
| | - Jingkun Zhang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Jiajing Sun
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Xiaochang Wang
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Engineering Technology Research Center for Wastewater Treatment and Reuse, Key Laboratory of Environment Engineering, Shaanxi, Province, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China
| | - Jinhong Zhou
- College of Geography and Environment, Baoji University of arts and sciences, Baoji, Shaanxi 721013, China
| | - Jiaxuan Wang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, Shaanxi, China
| | - Chengmin Ge
- Shandong Dongyuan New Material Technology Co., Ltd, Dongying 257300, Shandong, China
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The Survival Response of Earthworm ( Eisenia fetida L.) to Individual and Binary Mixtures of Herbicides. TOXICS 2022; 10:toxics10060320. [PMID: 35736928 PMCID: PMC9227884 DOI: 10.3390/toxics10060320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/19/2022] [Accepted: 05/24/2022] [Indexed: 02/04/2023]
Abstract
Frequent use of herbicides may impose a risk on non-target species. The objective was to test the combined toxic effect of binary herbicide mixtures—metribuzin:halosulfuron and metribuzin:flumioxazin—on non-target earthworms in two test systems: filter paper and a soil toxicity test system. The joint action experiments were independently run twice to substantiate the findings. The most potent individual herbicide was metribuzin, with a 50% lethal concentration (LC50) of 17.17 µg ai. cm−2 at 48 h in the filter paper test. The toxicity of the individual herbicides on the filter paper test was ranked as metribuzin>halosulfuron>flumioxazin. In the soil test, metribuzin and halosulfuron had high toxicity with an LC50 of 8.48 and 10.08 mg ai. kg−1, respectively, on day 14. Thus, the individual herbicide ranking did not change between the filter paper and artificial soil tests. The herbicide’s mixed effect in both test systems showed a consistent antagonistic effect relative to a Concentration Addition reference model. It indicates that the mixtures retracted the herbicide’s action in the earthworms.
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Wang Z, Zhang F, Wang DG. Predicting joint toxicity of chemicals by incorporating a weighted descriptor into a mixture model: Cases for binary antibiotics and binary nanoparticles. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 236:113472. [PMID: 35390689 DOI: 10.1016/j.ecoenv.2022.113472] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 03/21/2022] [Accepted: 03/27/2022] [Indexed: 06/14/2023]
Abstract
A prediction method that integrated a mixture descriptor with an established mixture toxicology method was proposed for the joint toxicity of chemical pollutants. A weighted descriptor derived from the single descriptor of each component was employed to calculate a mixture descriptor, which was successfully embedded into the generalized concentration addition (GCA) model named the extended GCA (XGCA) model. To develop and validate the proposed approach, binary antibiotic mixtures (ciprofloxacin and oxytetracycline) and metal-oxide (copper oxide and zinc oxide) nanoparticle mixtures were selected to study their toxicity to freshwater green algae. The results showed that concentration-response curve (CRC) derived from the XGCA model was closer to the observed CRC than those from the GCA, Concentration Addition (CA), and Independent Action (IA) models. The difference between effect concentrations predicted by the XGCA model and observed did not exceed a factor of 1.6. The XGCA model was relatively more accurate at predicting joint toxicity (in terms of effect concentrations and effect errors) than the reference models, independent of component types and mixture ratios. The XGCA model predicts the joint toxicity through molecular structural or nanostructural characters, thus modes of toxic action are not preconditions for predicting the toxicity of the mixtures. This result demonstrates the practicability of using the XGCA method in toxicity assessments of mixture pollutants with unknown modes of action.
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Affiliation(s)
- Zhuang Wang
- School of Environmental Science and Engineering, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science and Technology, Nanjing 210044, PR China.
| | - Fan Zhang
- School of Environmental Science and Engineering, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science and Technology, Nanjing 210044, PR China
| | - De-Gao Wang
- College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, PR China
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Wang N, Zhang J, Ma X, Zhang H, Sun J, Wang X, Zhou J, Wang J, Ge C. Study of the joint action of multi-component mixtures based on parameter σ 2(k∙ECx) characterizing the shape difference of concentration-response curves. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 293:118486. [PMID: 34780756 DOI: 10.1016/j.envpol.2021.118486] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 10/24/2021] [Accepted: 11/09/2021] [Indexed: 06/13/2023]
Abstract
A previous study has revealed that the parameter k∙ECx, characterizing the shape of concentration-response curves (CRCs), could predict the combined toxicity of binary mixtures. This study further explored the predictability of multi-component mixtures. Eleven component mixtures were designed using the uniform design ray, and the acute toxicity of the eleven environmental pollutants and their mixtures to Vibrio fischeri was determined using microplate toxicity analysis. We used independent action (IA) and the effect residual ratio (ERRx) models to evaluate the combined toxicity of multi-component mixtures and ascertain the functional relationship between σ2(k∙ECx), a parameter characterizing the CRC morphological difference of multi-component mixtures, and combined toxicity. The variance σ2(k∙ECx) of each component characteristic parameter of multi-component mixtures gradually increased in the concentration range, and the relationship between σ2(k∙ECx) and ERRx was consistent with the exponential function. The literature verification showed that this rule is generally applicable to the acute toxicity of multi-component mixtures to luminescent bacteria. The exponential function showed the variation rule of the joint action of multi-component mixtures. In the present study, the joint toxicity of multi-component mixtures can be predicted from single toxicity and small amount of multiple toxicity, circumventing complex multi-component toxicity experiments.
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Affiliation(s)
- Na Wang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China.
| | - Jingkun Zhang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China
| | - Xiaoyan Ma
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Engineering Technology Research Center for Wastewater Treatment and Reuse, Key Laboratory of Environmental Engineering, Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, 710055, China
| | - Huanle Zhang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China
| | - Jiajing Sun
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China
| | - Xiaochang Wang
- Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Engineering Technology Research Center for Wastewater Treatment and Reuse, Key Laboratory of Environmental Engineering, Shaanxi Province, Xi'an University of Architecture and Technology, Xi'an, Shaanxi, 710055, China
| | - Jinhong Zhou
- College of Geography and Environment, Baoji University of Arts and Sciences, Baoji, Shaanxi, 721013, China
| | - Jiaxuan Wang
- College of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, China
| | - Chengmin Ge
- Shandong Dongyuan New Material Technology Co., Ltd., Dongying, 257300, Shandong, China
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Lu S, Liu SS, Huang P, Wang ZJ, Wang Y. Study on the Combined Toxicities and Quantitative Characterization of Toxicity Sensitivities of Three Flavor Chemicals and Their Mixtures to Caenorhabditis elegans. ACS OMEGA 2021; 6:35745-35756. [PMID: 34984305 PMCID: PMC8717562 DOI: 10.1021/acsomega.1c05688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/03/2021] [Indexed: 05/09/2023]
Abstract
It was shown that flavor chemicals with high toxicity sensitivities mean that small changes in their effective concentrations can lead to significant changes in toxicity. Flavors are widely used in personal care products. However, our study demonstrated that some flavor chemicals and their mixture rays have high toxicity sensitivities to Caenorhabditis elegans (C. elegans), which may have an impact on human health. In this paper, three flavor chemicals (benzyl alcohol, phenethyl alcohol, and cinnamaldehyde) were used as components of the mixture, and three binary mixture systems were constructed, respectively. Five mixture rays were designed for each mixture system by a direct equipartition ray design method. The lethal toxicities of the three flavor chemicals and mixture rays to C. elegans at three exposure volumes were determined. A new concept (inverse of the negative logarithmic concentration span (iSPAN)) was introduced to quantitatively evaluate the toxicity sensitivity of chemicals or mixture rays, and the combination index (CI) was employed to identify the toxicological interactions in the mixtures. It was shown that the three flavor chemicals as well as the binary mixture rays have a significant concentration-response relationship on the lethality of C. elegans. The iSPAN values of the three flavor chemicals and their mixture rays were larger than 3.000, showing very strong toxicity sensitivity to C. elegans. In mixture systems, the toxicity sensitivities of mixture rays with different mixture ratios were also different at different exposure volumes. In addition, it can be seen from the CI heat map that the toxicological interaction not only shows the mixture ratio dependence but also changes with the different exposure volumes, which implies that the mixtures consisting of flavor chemicals with high toxicity sensitivity have complex toxicological interactions. Therefore, in environmental risk assessment, special attention should be paid to chemicals with high toxicity sensitivities.
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Affiliation(s)
- Sheng Lu
- Key
Laboratory of Yangtze River Water Environment, Ministry of Education,
College of Environmental Science and Engineering, Tongji University, Shanghai 200092, P. R. China
- Shanghai
Institute of Pollution Control and Ecological Security, Shanghai 200092, P. R. China
| | - Shu-Shen Liu
- Key
Laboratory of Yangtze River Water Environment, Ministry of Education,
College of Environmental Science and Engineering, Tongji University, Shanghai 200092, P. R. China
- State
Key Laboratory of Pollution Control and Resource Reuse, College of
Environmental Science and Engineering, Tongji
University, Shanghai 200092, P. R. China
- Shanghai
Institute of Pollution Control and Ecological Security, Shanghai 200092, P. R. China
| | - Peng Huang
- Key
Laboratory of Yangtze River Water Environment, Ministry of Education,
College of Environmental Science and Engineering, Tongji University, Shanghai 200092, P. R. China
| | - Ze-Jun Wang
- Key
Laboratory of Yangtze River Water Environment, Ministry of Education,
College of Environmental Science and Engineering, Tongji University, Shanghai 200092, P. R. China
- Shanghai
Institute of Pollution Control and Ecological Security, Shanghai 200092, P. R. China
| | - Yu Wang
- Key
Laboratory of Yangtze River Water Environment, Ministry of Education,
College of Environmental Science and Engineering, Tongji University, Shanghai 200092, P. R. China
- Shanghai
Institute of Pollution Control and Ecological Security, Shanghai 200092, P. R. China
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