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      Determination of priority pesticides in water samples combining SPE and SPME coupled to GC-MS. A case study: Suquía River basin (Argentina).

      1 , ,
      Chemosphere
      Elsevier BV

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          Abstract

          This study reports a combined method using solid phase extraction (SPE), followed by solid phase microextraction (SPME) to concentrate different pesticides, including chlorinated, organophosphorus, triazines, pyretroids and chloroacetamides, present at trace levels in water samples. Identification and quantification was carried out by gas chromatography coupled to Mass Spectrometry (GC-MS). The optimized methodology showed LOQs at ng L(-1) levels (ranging 0.2-3.5 ng L(-1)) in addition to acceptable precision and robustness (recoveries ranged 63-104%, RSD from 4% to 23%), presenting a novel method to reach trace levels, similar to that obtainable using EC detector, with structural confirmation by MS during the analysis of a wide range of environmental pollutants. This method was applied to the study of temporal and spatial distribution of pesticides in the Suquía River basin (Córdoba-Argentina). As expected, highest levels of agrochemicals were observed in areas with intensive agricultural practices, being atrazine (max.=433.9 ng L(-1)), alpha-cypermetrine (max.=121.7 ng L(-1)) and endosulfan sulfate (max.=106.7 ng L(-1)) predominant. In urban areas, the prevalent pesticide was alpha-cypermethrine. These results draw attention to the need of pesticide monitoring programs in rivers, considering both urban and rural sections.

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          Author and article information

          Journal
          Chemosphere
          Chemosphere
          Elsevier BV
          1879-1298
          0045-6535
          Feb 2013
          : 90
          : 6
          Affiliations
          [1 ] Universidad Nacional de Córdoba-CONICET, Facultad de Ciencias Químicas, Dpto. Bioquímica Clínica-CIBICI, Haya de la Torre esq. Medina Allende, 5000 Córdoba, Argentina.
          Article
          S0045-6535(12)01246-5
          10.1016/j.chemosphere.2012.10.007
          23177716
          9d3ec920-abea-446a-b22f-ff3c1ccc1847
          History

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