| publications-1351 |
PEER REVIEWED ARTICLE |
2018 |
Pingping Wang , Pu Xia , Jianghua Yang , Zhihao Wang , Ying Peng , Wei Shi , Daniel L. Villeneuve , Hongxia Yu , Xiaowei Zhang |
A Reduced Transcriptome Approach to Assess Environmental Toxicants Using Zebrafish Embryo Test |
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10.1021/acs.est.7b04073 |
Simulation & Modeling |
Precipitation & Ecological Systems |
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No abstract available |
603437 |
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| publications-1352 |
PEER REVIEWED ARTICLE |
2018 |
Muhammad Arslan Kamal Hashmi , Beate I. Escher , Martin Krauss , Ivana Teodorovic , Werner Brack |
Effect-directed analysis (EDA) of Danube River water sample receiving untreated municipal wastewater from Novi Sad, Serbia |
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10.1016/j.scitotenv.2017.12.187 |
Simulation & Modeling |
Precipitation & Ecological Systems |
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No abstract available |
603437 |
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| publications-1353 |
PEER REVIEWED ARTICLE |
2017 |
Matthias Muschket , Carolina Di Paolo , Andrew J. Tindall , Gérald Touak , Audrey Phan , Martin Krauss , Kristina Kirchner , Thomas-Benjamin Seiler , |
Identification of Unknown Antiandrogenic Compounds in Surface Waters by Effect-Directed Analysis (EDA) Using a Parallel Fractionation Approach |
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10.1021/acs.est.7b04994 |
Simulation & Modeling |
Precipitation & Ecological Systems |
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No abstract available |
603437 |
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| publications-1354 |
PEER REVIEWED ARTICLE |
2018 |
Rolf Altenburger , Martin Scholze , Wibke Busch , Beate I. Escher , Gianina Jakobs , Martin Krauss , Janet Krüger , Peta A. Neale , Selim Ait-Aissa , |
Mixture effects in samples of multiple contaminants – An inter-laboratory study with manifold bioassays |
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10.1016/j.envint.2018.02.013 |
Simulation & Modeling |
Precipitation & Ecological Systems |
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No abstract available |
603437 |
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| publications-1355 |
PEER REVIEWED ARTICLE |
2018 |
Liza-Marie Beckers , Wibke Busch , Martin Krauss , Tobias Schulze , Werner Brack |
Characterization and risk assessment of seasonal and weather dynamics in organic pollutant mixtures from discharge of a separate sewer system |
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10.1016/j.watres.2018.02.002 |
Simulation & Modeling |
Precipitation & Ecological Systems |
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No abstract available |
603437 |
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| publications-1356 |
PEER REVIEWED ARTICLE |
2018 |
Peta A. Neale , Werner Brack , Selim Aït-Aïssa , Wibke Busch , Juliane Hollender , Martin Krauss , Emmanuelle Maillot-Maréchal , Nicole A. Munz , R |
Solid-phase extraction as sample preparation of water samples for cell-based and other in vitro bioassays |
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10.1039/c7em00555e |
Simulation & Modeling |
Natural Water Bodies |
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Effect recovery for bioassays was evaluated and was similar to recovery by chemical analysis for the studied SPE methods, providing support of bioassay use for water quality monitoring. |
603437 |
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| publications-1357 |
PEER REVIEWED ARTICLE |
2018 |
Meng Hu , Erik Müller , Emma L. Schymanski , Christoph Ruttkies , Tobias Schulze , Werner Brack , Martin Krauss |
Performance of combined fragmentation and retention prediction for the identification of organic micropollutants by LC-HRMS |
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10.1007/s00216-018-0857-5 |
Simulation & Modeling |
Precipitation & Ecological Systems |
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No abstract available |
603437 |
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| publications-1358 |
PEER REVIEWED ARTICLE |
2018 |
Beate I. Escher , Selim Aїt-Aїssa , Peter A. Behnisch , Werner Brack , François Brion , Abraham Brouwer , Sebastian Buchinger , Sarah E. Crawford , |
Effect-based trigger values for in vitro and in vivo bioassays performed on surface water extracts supporting the environmental quality standards (EQS) of the European Water Framework Directive |
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10.1016/j.scitotenv.2018.01.340 |
Simulation & Modeling |
Precipitation & Ecological Systems |
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No abstract available |
603437 |
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| publications-1359 |
PEER REVIEWED ARTICLE |
2017 |
Christopher M. Holmes , Colin D. Brown , Mick Hamer , Russell Jones , Lorraine Maltby , Leo Posthuma , Eric Silberhorn , Jerold Scott Teeter , Michael |
Prospective aquatic risk assessment for chemical mixtures in agricultural landscapes |
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10.1002/etc.4049 |
Data Management & Analytics |
Precipitation & Ecological Systems |
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Abstract   Environmental risk assessment of chemical mixtures is challenging because of the multitude of possible combinations that may occur. Aquatic risk from chemical mixtures in an agricultural landscape was evaluated prospectively in 2 exposure scenario case studies: at field scale for a program of 13 plant-protection products applied annually for 20 yr and at a watershed scale for a mixed land-use scenario over 30 yr with 12 plant-protection products and 2 veterinary pharmaceuticals used for beef cattle. Risk quotients were calculated from regulatory exposure models with typical real-world use patterns and regulatory acceptable concentrations for individual chemicals. The results could differentiate situations when there was concern associated with single chemicals from those when concern was associated with a mixture (based on concentration addition) with no single chemical triggering concern. Potential mixture risk was identified on 0.02 to 7.07% of the total days modeled, depending on the scenario, the taxa, and whether considering acute or chronic risk. Taxa at risk were influenced by receiving water body characteristics along with chemical use profiles and associated properties. The present study demonstrates that a scenario-based approach can be used to determine whether mixtures of chemicals pose risks over and above any identified using existing approaches for single chemicals, how often and to what magnitude, and ultimately which mixtures (and dominant chemicals) cause greatest concern. Environ Toxicol Chem 2018;37:674–689. © 2017 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC. Abstract Acute and chronic mixture risk was assessed for aquatic organisms using field- and catchment-scale scenarios for multiple agricultural products applied annually up to 30 years (single year shown for clarity). Results identified potential risks, and determined whether mixtures of chemicals pose risks beyond any identified using existing approaches for single chemicals, how often and to what magnitude. |
603437 |
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| publications-1360 |
PEER REVIEWED ARTICLE |
2017 |
Dick de Zwart , William Adams , Malyka Galay Burgos , Juliane Hollender , Marion Junghans , Graham Merrington , Derek Muir , Thomas Parkerton , Karel |
Aquatic exposures of chemical mixtures in urban environments: Approaches to impact assessment |
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10.1002/etc.3975 |
Data Management & Analytics |
Uncategorized |
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Abstract   Urban regions of the world are expanding rapidly, placing additional stress on water resources. Urban water bodies serve many purposes, from washing and sources of drinking water to transport and conduits for storm drainage and effluent discharge. These water bodies receive chemical emissions arising from either single or multiple point sources, diffuse sources which can be continuous, intermittent, or seasonal. Thus, aquatic organisms in these water bodies are exposed to temporally and compositionally variable mixtures. We have delineated source-specific signatures of these mixtures for diffuse urban runoff and urban point source exposure scenarios to support risk assessment and management of these mixtures. The first step in a tiered approach to assessing chemical exposure has been developed based on the event mean concentration concept, with chemical concentrations in runoff defined by volumes of water leaving each surface and the chemical exposure mixture profiles for different urban scenarios. Although generalizations can be made about the chemical composition of urban sources and event mean exposure predictions for initial prioritization, such modeling needs to be complemented with biological monitoring data. It is highly unlikely that the current paradigm of routine regulatory chemical monitoring alone will provide a realistic appraisal of urban aquatic chemical mixture exposures. Future consideration is also needed of the role of nonchemical stressors in such highly modified urban water bodies. Environ Toxicol Chem 2018;37:703–714. © 2017 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC. |
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