Application of new statistical distribution approaches for environmental mixture risk assessment: A case study
| العنوان: | Application of new statistical distribution approaches for environmental mixture risk assessment: A case study |
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| المؤلفون: | Michelle R. Embry, Andrew Worth, Marlies Halder, Stephanie K. Bopp, Aude Kienzler |
| المصدر: | The Science of the Total Environment |
| بيانات النشر: | Elsevier BV, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | ECHA, European Chemicals Agency, Percentile, Environmental Engineering, 010504 meteorology & atmospheric sciences, CTD-TC, chemical toxicity distribution-threshold concentration, CY, Cyprus, MRA, mixture risk assessment, PNEC, predicted no-effect concentration, EFSA, European Food Safety Authority, SW, Sweden, 010501 environmental sciences, Ecotoxicological Threshold of Toxicological Concern, Combined exposure, 01 natural sciences, Article, AF, assessment factor, Aquatic toxicology, TTC, Threshold of Toxicological Concern, QSAR, quantitative structure–activity relationship, RQi, risk quotient for the individual substance, Statistics, Environmental Chemistry, Predicted no-effect concentration, FR, France, Aquatic toxicity, MLT, Malta, RQmix, risk quotient for a mixture, TU, toxic unit, Waste Management and Disposal, 0105 earth and related environmental sciences, Gap filling, ecoTTC, ecotoxicological Threshold of Toxicological Concern, Chemical toxicity, MOA, mode of action, PFOS, perfluorooctanesulfonic acid, STU, sum of toxic units, MEC, measured exposure concentration, Pollution, PFOA, perfluorooctanoic acid, Mode of action, CA, concentration addition, Monitoring data, REACH, Registration, Evaluation, Authorisation and Restriction of Chemicals, Environmental science, Ecotoxicity, Risk assessment |
| الوصف: | Objectives There is growing evidence that single substances present below their individual thresholds of effect may still contribute to combined effects. In component-based mixture risk assessment (MRA), the risks can be addressed using information on the mixture components. This is, however, often hampered by limited availability of ecotoxicity data. Here, the possible use of ecotoxicological threshold concentrations of no concern (i.e. 5th percentile of statistical distribution of ecotoxicological values) is investigated to fill data gaps in MRA. Methods For chemicals without available aquatic toxicity data, ecotoxicological threshold concentrations of no concern have been derived from Predicted No Effect Concentration (PNEC) distributions and from chemical toxicity distributions, using the EnviroTox tool, with and without considering the chemical mode of action. For exposure, chemical monitoring data from European rivers have been used to illustrate four realistic co-exposure scenarios. Based on those monitoring data and available ecotoxicity data or threshold concentrations when no data were available, Risk Quotients for individual chemicals were calculated, to then derive a mixture Risk Quotient (RQmix). Results A risk was identified in two of the four scenarios. Threshold concentrations contribute from 24 to 95% of the whole RQmix; thus they have a large impact on the predicted mixture risk. Therefore they could only be used for data gap filling for a limited number of chemicals in the mixture. The use of mode of action information to derive more specific threshold values could be a helpful refinement in some cases. Graphical abstract Unlabelled Image Highlights • The EnviroTox database and tool is a powerful tool to derive environmental threshold concentrations. • The ecoTTC approach can be used for data gap filling. • For mixture assessment, it can be used for a limited number of chemicals only. • In some case the Mode of Action can be used to refine the surrogate value. |
| تدمد: | 0048-9697 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68c23a7f68fd723a874df525838f13cb https://doi.org/10.1016/j.scitotenv.2019.07.316 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....68c23a7f68fd723a874df525838f13cb |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 00489697 |
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