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Assessment of chemical extracts of urban air for endocrine disruption using a serie of in vitro bioassays: a case study in Montreal, Canada

Author(s): Gillet AP; Dong H; Liu L; Akiki C; Zhang X; Tian L; Wania F; Wade MG; Apparicio P; Bayen S; Delbes G;

Recent data indicate that urban air harbors a complex mixture of industrial chemicals, pesticides, and combustion by-products, many of which may act as endocrine-disrupting chemicals (EDCs). By interfering with the endocrine system, EDCs can affect human health. Hence, there is an urgent need to ...

Article GUID: 41242228


Mapping the distribution of contaminants identified by non-targeted screening of passively sampled urban air

Author(s): Liu L; Gillet AP; Akiki C; Tian L; Ma Y; Zhang X; Bowman DT; Wania F; Delbès G; Apparicio P; Bayen S;

Air pollution is closely associated with increased lung cancer incidence and mortality. Because many semi-volatile industrial chemicals, pesticides and combustion by-products are endocrine-disrupting or genotoxic, their mixtures in outdoor urban air, even at trace levels, could have cumulative ef ...

Article GUID: 41033295


Prioritizing Chemical Features in Non-targeted Analysis through Spatial Trend Analysis: Application to the Identification of Organic Chemicals Subject to Mountain Cold-Trapping

Author(s): Zhang X; Zhan F; Hao C; Lei YD; Wania F;

One of the challenges arising during non-targeted analysis (NTA) is that the number of detected chemical features is generally too large for detailed processing and interpretation. Here, we illustrate how the analysis of spatial trends in peak intensities can be an effective tool to prioritize chemical features in NTA. Specifically, features detected by g ...

Article GUID: 39912640


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