Department Environmental Chemistry

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   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=20593, pid=124)
      originalId => protected20593 (integer)
      authors => protected'Creusot, N.; Casado-Martinez, C.; Chiaia-Hernandez, A.; Kiefe
         r, K.; Ferrari, B. J. D.; Fu, Q.; Munz, N.; St
         amm, C.; Tlili, A.; Hollender, J.' (200 chars)
      title => protected'Retrospective screening of high-resolution mass spectrometry archived digita
         l samples can improve environmental risk assessment of emerging contaminants
         : a case study on antifungal azoles' (187 chars)
      journal => protected'Environment International' (25 chars)
      year => protected2020 (integer)
      volume => protected139 (integer)
      issue => protected'' (0 chars)
      startpage => protected'105708 (10 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'environmental risk assessment; antifungal-azoles; high resolution mass spect
         rometry; partitioning; exposure assessment; retrospective screening; digital
          samples' (160 chars)
      description => protected'Environmental risk assessment associated with aquatic and terrestrial contam
         ination is mostly based on predicted or measured environmental concentration
         s of a limited list of chemicals in a restricted number of environmental com
         partments. High resolution mass spectrometry (HRMS) can provide a more compr
         ehensive picture of exposure to harmful chemicals, particularly through the 
         retrospective analysis of digitally stored HRMS data. Using this methodology
         , our study characterized the contamination of various environmental compart
         ments including 154 surface water, 46 urban effluent, 67 sediment, 15 soil, 
         34 groundwater, 24 biofilm, 41 gammarid and 49 fish samples at 95 sites wide
         ly distributed over the Swiss Plateau. As a proof-of-concept, we focused our
          investigation on antifungal azoles, a class of chemicals of emerging concer
         n due to their endocrine disrupting effects on aquatic organisms and humans.
          Our results demonstrated the occurrence of antifungal azoles and some of th
         eir (bio)transformation products in all the analyzed compartments (0.1-100 
         ng/L or ng/g d.w.). Comparison of actual and predicted concentrations showed
          the partial suitability of level 1 fugacity modelling in predicting the exp
         osure to azoles. Risk quotient calculations additionally revealed risk of ex
         posure especially if some of the investigated rivers and streams are used fo
         r drinking water production. The case study clearly shows that the retrospec
         tive analysis of HRMS/MS data can improve the current knowledge on exposure 
         and the related risks to chemicals of emerging concern and can be effectivel
         y employed in the future for such purposes.' (1639 chars)
      serialnumber => protected'0160-4120' (9 chars)
      doi => protected'10.1016/j.envint.2020.105708' (28 chars)
      uid => protected20593 (integer)
      _localizedUid => protected20593 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected20593 (integer)modified
      pid => protected124 (integer)