QSAR-like models: a potential tool for the selection of PhACs and EDCs for monitoring purposes in drinking water treatment systems--a review
| Autor: | K. Glucina, Luis F. Delgado, Catherine Morlay, Philippe Charles |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Chronic exposure
Quantitative structure–activity relationship Engineering Environmental Engineering Quantitative Structure-Activity Relationship Endocrine Disruptors Water Purification Human health Quality monitoring Waste Management and Disposal Water Science and Technology Civil and Structural Engineering business.industry Ecological Modeling Data Collection Drinking Water Treatment process Environmental engineering Models Theoretical Pollution Pharmaceutical Preparations Water treatment Biochemical engineering business Water Pollutants Chemical Overall efficiency Environmental Monitoring |
| Zdroj: | Water research. 46(19) |
| ISSN: | 1879-2448 |
| Popis: | Recent studies have demonstrated the presence of trace-level pharmaceutically active compounds (PhACs) and endocrine disrupting compounds (EDCs) in a number of finished drinking waters (DWs). Since there is sparse knowledge currently available on the potential effects on human health associated with the chronic exposure to trace levels of these Emerging Contaminants (ECs) through routes such as DW, it is suggested that the most appropriate criterion is a treatment criterion in order to prioritize ECs to be monitored during DW preparation. Hence, only the few ECs showing the lowest removals towards a given DW Treatment (DWT) process would serve as indicators of the overall efficiency of this process and would be relevant for DW quality monitoring. In addition, models should be developed for estimating the removal of ECs in DWT processes, thereby overcoming the practical difficulties of experimentally assessing each compound. Therefore, the present review has two objectives: (1) to provide an overview of the recent scientific surveys on the occurrence of PhACs and EDCs in finished DWs; and (2) to propose the potential of Quantitative-Structure-Activity-Relationship-(QSAR)-like models to rank ECs found in environmental waters, including parent compounds, metabolites and transformation products, in order to select the most relevant compounds to be considered as indicators for monitoring purposes in DWT systems. |
| Databáze: | OpenAIRE |
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