@article{KuhnTavaresJacquesTeixeiraetal.2021,
  author    = {Kuhn, Eug{\^e}nia Carla and Tavares Jacques, Maur{\´i}cio and Teixeira, Daniela and Meyer, S{\"o}ren and Gralha, Thiago and Roehrs, Rafael and Camargo, Sandro and Schwerdtle, Tanja and Bornhorst, Julia and {\´A}vila, Daiana Silva},
  title     = {Ecotoxicological assessment of Uruguay River and affluents pre- and biomonitoring},
  series = {Environmental science and pollution research : ESPR},
  volume    = {28},
  journal   = {Environmental science and pollution research : ESPR},
  number    = {17},
  publisher = {Springer},
  address   = {Berlin ; Heidelberg},
  issn      = {0944-1344},
  doi       = {10.1007/s11356-020-11986-4},
  pages     = {21730 -- 21741},
  year      = {2021},
  abstract  = {Uruguay River is the most important river in western Rio Grande do Sul, separating Brazil from Argentina and Uruguay. However, its pollution is of great concern due to agricultural activities in the region and the extensive use of pesticides. In a long term, this practice leads to environmental pollution, especially to the aquatic system. The objective of this study was to analyze the physicochemical characteristics, metals and pesticides levels in water samples obtained before and after the planting and pesticides' application season from three sites: Uruguay River and two minor affluents, Mezomo Dam and Salso Stream. For biomonitoring, the free-living nematode Caenorhabditis elegans was used, which were exposed for 24 h. We did not find any significant alteration in physicochemical parameters. In the pre- and post-pesticides' samples we observed a residual presence of three pesticides (tebuconazole, imazethapyr, and clomazone) and metals which levels were above the recommended (As, Hg, Fe, and Mn). Exposure to both pre- and post-pesticides' samples impaired C. elegans reproduction and post-pesticides samples reduced worms' survival rate and lifespan. PCA analysis indicated that the presence of metals and pesticides are important variables that impacted C. elegans biological endpoints. Our data demonstrates that Uruguay River and two affluents are contaminated independent whether before or after pesticides' application season. In addition, it reinforces the usefulness of biological indicators, since simple physicochemical analyses are not sufficient to attest water quality and ecological safety.},
  language  = {en}
}
@article{RauschBrockmeyerSchwerdtle2021,
  author    = {Rausch, Ann-Kristin and Brockmeyer, Robert and Schwerdtle, Tanja},
  title     = {Development, validation, and application of a multi-method for the determination of mycotoxins, plant growth regulators, tropane alkaloids, and pesticides in cereals by two-dimensional liquid chromatography tandem mass spectrometry},
  series = {Analytical \& bioanalytical chemistry : a merger of Fresenius' journal of analytical chemistry, Analusis and Quimica analitica},
  volume    = {413},
  journal   = {Analytical \& bioanalytical chemistry : a merger of Fresenius' journal of analytical chemistry, Analusis and Quimica analitica},
  number    = {11},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1618-2650},
  doi       = {10.1007/s00216-021-03239-1},
  pages     = {3041 -- 3054},
  year      = {2021},
  abstract  = {Mycotoxins and pesticides regularly co-occur in agricultural products worldwide. Thus, humans can be exposed to both toxic contaminants and pesticides simultaneously, and multi-methods assessing the occurrence of various food contaminants and residues in a single method are necessary. A two-dimensional high performance liquid chromatography tandem mass spectrometry method for the analysis of 40 (modified) mycotoxins, two plant growth regulators, two tropane alkaloids, and 334 pesticides in cereals was developed. After an acetonitrile/water/formic acid (79:20:1, v/v/v) multi-analyte extraction procedure, extracts were injected into the two-dimensional setup, and an online clean-up was performed. The method was validated according to Commission Decision (EC) no. 657/2002 and document N° SANTE/12682/2019. Good linearity (R2 > 0.96), recovery data between 70-120\%, repeatability and reproducibility values < 20\%, and expanded measurement uncertainties < 50\% were obtained for a wide range of analytes, including very polar substances like deoxynivalenol-3-glucoside and methamidophos. However, results for fumonisins, zearalenone-14,16-disulfate, acid-labile pesticides, and carbamates were unsatisfying. Limits of quantification meeting maximum (residue) limits were achieved for most analytes. Matrix effects varied highly (-85 to +1574\%) and were mainly observed for analytes eluting in the first dimension and early-eluting analytes in the second dimension. The application of the method demonstrated the co-occurrence of different types of cereals with 28 toxins and pesticides. Overall, 86\% of the samples showed positive findings with at least one mycotoxin, plant growth regulator, or pesticide.},
  language  = {en}
}
@article{ZuehlkeRiebeBeitzetal.2016,
  author    = {Z{\"u}hlke, Martin and Riebe, Daniel and Beitz, Toralf and L{\"o}hmannsr{\"o}ben, Hans-Gerd and Andreotti, Sandro and Reinert, Knut and Zenichowski, Karl and Diener, Marc},
  title     = {High-performance liquid chromatography with electrospray ionization ion mobility spectrometry: Characterization, data management, and applications},
  series = {Journal of separation science},
  volume    = {39},
  journal   = {Journal of separation science},
  publisher = {Wiley-VCH},
  address   = {Weinheim},
  issn      = {1615-9306},
  doi       = {10.1002/jssc.201600749},
  pages     = {4756 -- 4764},
  year      = {2016},
  abstract  = {The combination of high-performance liquid chromatography and electrospray ionization ion mobility spectrometry facilitates the two-dimensional separation of complex mixtures in the retention and drift time plane. The ion mobility spectrometer presented here was optimized for flow rates customarily used in high-performance liquid chromatography between 100 and 1500 mu L/min. The characterization of the system with respect to such parameters as the peak capacity of each time dimension and of the 2D spectrum was carried out based on a separation of a pesticide mixture containing 24 substances. While the total ion current chromatogram is coarsely resolved, exhibiting coelutions for a number of compounds, all substances can be separately detected in the 2D plane due to the orthogonality of the separations in retention and drift dimensions. Another major advantage of the ion mobility detector is the identification of substances based on their characteristic mobilities. Electrospray ionization allows the detection of substances lacking a chromophore. As an example, the separation of a mixture of 18 amino acids is presented. A software built upon the free mass spectrometry package OpenMS was developed for processing the extensive 2D data. The different processing steps are implemented as separate modules which can be arranged in a graphic workflow facilitating automated processing of data.},
  language  = {en}
}
@article{LiuSiblyGrimmetal.2013,
  author    = {Liu, Chun and Sibly, Richard M. and Grimm, Volker and Thorbek, Pernille},
  title     = {Linking pesticide exposure and spatial dynamics an individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes},
  series = {Ecological modelling : international journal on ecological modelling and engineering and systems ecolog},
  volume    = {248},
  journal   = {Ecological modelling : international journal on ecological modelling and engineering and systems ecolog},
  number    = {2},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0304-3800},
  doi       = {10.1016/j.ecolmodel.2012.09.016},
  pages     = {92 -- 102},
  year      = {2013},
  abstract  = {The wood mouse is a common and abundant species in agricultural landscape and is a focal species in pesticide risk assessment. Empirical studies on the ecology of the wood mouse have provided sufficient information for the species to be modelled mechanistically. An individual-based model was constructed to explicitly represent the locations and movement patterns of individual mice. This together with the schedule of pesticide application allows prediction of the risk to the population from pesticide exposure. The model included life-history traits of wood mice as well as typical landscape dynamics in agricultural farmland in the UK. The model obtains a good fit to the available population data and is fit for risk assessment purposes. It can help identify spatio-temporal situations with the largest potential risk of exposure and enables extrapolation from individual-level endpoints to population-level effects. Largest risk of exposure to pesticides was found when good crop growth in the "sink" fields coincided with high "source" population densities in the hedgerows.},
  language  = {en}
}