@article{VargasRuizSchulreichKostevicetal.2016,
  author    = {Vargas-Ruiz, Salome and Schulreich, Christoph and Kostevic, Angelika and Tiersch, Brigitte and Koetz, Joachim and Kakorin, Sergej and von Klitzing, Regine and Jung, Martin and Hellweg, Thomas and Wellert, Stefan},
  title     = {Extraction of model contaminants from solid surfaces by environmentally compatible microemulsions},
  series = {Journal of colloid and interface science},
  volume    = {471},
  journal   = {Journal of colloid and interface science},
  publisher = {Elsevier},
  address   = {San Diego},
  issn      = {0021-9797},
  doi       = {10.1016/j.jcis.2016.03.006},
  pages     = {118 -- 126},
  year      = {2016},
  abstract  = {In the present contribution, we evaluate the efficiency of eco-friendly microemulsions to decontaminate solid surfaces by monitoring the extraction of non-toxic simulants of sulfur mustard out of model surfaces. The extraction process of the non-toxic simulants has been monitored by means of spectroscopic and chromatographic techniques. The kinetics of the removal process was analyzed by different empirical models. Based on the analysis of the kinetics, we can assess the influence of the amounts of oil and water and the microemulsion structure on the extraction process. (C) 2016 Elsevier Inc. All rights reserved.},
  language  = {en}
}
@misc{SmithRheinwaltBookhagen2019,
  author    = {Smith, Taylor and Rheinwalt, Aljoscha and Bookhagen, Bodo},
  title     = {Determining the optimal grid resolution for topographic analysis on an airborne lidar dataset},
  series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  journal   = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe},
  number    = {725},
  issn      = {1866-8372},
  doi       = {10.25932/publishup-43016},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-430165},
  pages     = {475 -- 489},
  year      = {2019},
  abstract  = {Digital elevation models (DEMs) are a gridded representation of the surface of the Earth and typically contain uncertainties due to data collection and processing. Slope and aspect estimates on a DEM contain errors and uncertainties inherited from the representation of a continuous surface as a grid (referred to as truncation error; TE) and from any DEM uncertainty. We analyze in detail the impacts of TE and propagated elevation uncertainty (PEU) on slope and aspect. Using synthetic data as a control, we define functions to quantify both TE and PEU for arbitrary grids. We then develop a quality metric which captures the combined impact of both TE and PEU on the calculation of topographic metrics. Our quality metric allows us to examine the spatial patterns of error and uncertainty in topographic metrics and to compare calculations on DEMs of different sizes and accuracies. Using lidar data with point density of ∼10 pts m-2 covering Santa Cruz Island in southern California, we are able to generate DEMs and uncertainty estimates at several grid resolutions. Slope (aspect) errors on the 1 m dataset are on average 0.3∘ (0.9∘) from TE and 5.5∘ (14.5∘) from PEU. We calculate an optimal DEM resolution for our SCI lidar dataset of 4 m that minimizes the error bounds on topographic metric calculations due to the combined influence of TE and PEU for both slope and aspect calculations over the entire SCI. Average slope (aspect) errors from the 4 m DEM are 0.25∘ (0.75∘) from TE and 5∘ (12.5∘) from PEU. While the smallest grid resolution possible from the high-density SCI lidar is not necessarily optimal for calculating topographic metrics, high point-density data are essential for measuring DEM uncertainty across a range of resolutions.},
  language  = {en}
}
@article{SmithRheinwaltBookhagen2019,
  author    = {Smith, Taylor and Rheinwalt, Aljoscha and Bookhagen, Bodo},
  title     = {Determining the optimal grid resolution for topographic analysis on an airborne lidar dataset},
  series = {Earth Surface Dynamics},
  volume    = {7},
  journal   = {Earth Surface Dynamics},
  publisher = {Copernicus Publ.},
  address   = {G{\"o}ttingen},
  issn      = {2196-6311},
  doi       = {10.5194/esurf-7-475-2019},
  pages     = {475 -- 489},
  year      = {2019},
  abstract  = {Digital elevation models (DEMs) are a gridded representation of the surface of the Earth and typically contain uncertainties due to data collection and processing. Slope and aspect estimates on a DEM contain errors and uncertainties inherited from the representation of a continuous surface as a grid (referred to as truncation error; TE) and from any DEM uncertainty. We analyze in detail the impacts of TE and propagated elevation uncertainty (PEU) on slope and aspect. Using synthetic data as a control, we define functions to quantify both TE and PEU for arbitrary grids. We then develop a quality metric which captures the combined impact of both TE and PEU on the calculation of topographic metrics. Our quality metric allows us to examine the spatial patterns of error and uncertainty in topographic metrics and to compare calculations on DEMs of different sizes and accuracies. Using lidar data with point density of ∼10 pts m-2 covering Santa Cruz Island in southern California, we are able to generate DEMs and uncertainty estimates at several grid resolutions. Slope (aspect) errors on the 1 m dataset are on average 0.3∘ (0.9∘) from TE and 5.5∘ (14.5∘) from PEU. We calculate an optimal DEM resolution for our SCI lidar dataset of 4 m that minimizes the error bounds on topographic metric calculations due to the combined influence of TE and PEU for both slope and aspect calculations over the entire SCI. Average slope (aspect) errors from the 4 m DEM are 0.25∘ (0.75∘) from TE and 5∘ (12.5∘) from PEU. While the smallest grid resolution possible from the high-density SCI lidar is not necessarily optimal for calculating topographic metrics, high point-density data are essential for measuring DEM uncertainty across a range of resolutions.},
  language  = {en}
}
@article{ReinkensmeierBasslerSchlueteretal.2015,
  author    = {Reinkensmeier, Annika and Bassler, Sara and Schlueter, Oliver and Rohn, Sascha and Rawel, Harshadrai Manilal},
  title     = {Characterization of individual proteins in pea protein isolates and air classified samples},
  series = {Food research international},
  volume    = {76},
  journal   = {Food research international},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0963-9969},
  doi       = {10.1016/j.foodres.2015.05.009},
  pages     = {160 -- 167},
  year      = {2015},
  abstract  = {Generally, pea proteins are extracted at comparatively acidic or basic pH values to provide a basis for protein isolate production. Such processing steps result in partial denaturation of the proteins rendering them in most cases insoluble at food processing pH conditions and limiting their application in food products. Here, the comparison of the solubility properties of pea proteins in protein enriched fractions deriving from air classification is reported. Protein content, solubility, and physicochemical parameters of different fractions of the pea (Pisum sativum) variety 'Salamanca' were investigated as a function of pH using SDS-PAGE and surface hydrophobicity. Whole pea flour (20\% protein), air classified, protein-enriched pea flour (48\% protein), pea flour made from hulls (2.8\% protein), and pea protein isolate (81\% protein) served as test materials. Fractionation and pH value affected the composition and surface hydrophobicity of the proteins as well as the content of trypsin inhibitors. All samples showed a high buffering capacity in the range of pH 4 to 10. The direct comparison documents the comparatively better protein quality of the air classified, protein enriched pea fraction. The solubility of the pea protein isolate can be improved by using selected additives, giving new possibilities for plant protein application. Relevant technofunctional properties were determined and compared with two commercially available pea-based products (whole pea flour and an isolate). Water binding capacity was highest for the commercially available pea flour followed by the pea hull flour. Fat binding capacity remained more or less unchanged. (C) 2015 Elsevier Ltd. All rights reserved.},
  language  = {en}
}
@article{SchwarzeTraegerKellingetal.2013,
  author    = {Schwarze, Thomas and Traeger, Juliane and Kelling, Alexandra and Schilde, Uwe and Holdt, Hans-J{\"u}rgen},
  title     = {Macrocyclic dithiomaleonitriles for an efficient PdCl2 coordination},
  series = {Inorganica chimica acta : the international inorganic chemistry journal},
  volume    = {408},
  journal   = {Inorganica chimica acta : the international inorganic chemistry journal},
  number    = {2},
  publisher = {Elsevier},
  address   = {Lausanne},
  issn      = {0020-1693},
  doi       = {10.1016/j.ica.2013.08.020},
  pages     = {53 -- 58},
  year      = {2013},
  abstract  = {We have synthesized a set of new unsaturated macrocyclic dithioethers with an increasing number of flexible methylene units 1-7 (Scheme 2) to investigate the correlation between the ring size of these ligands, the chelation effect and the consequences for an efficient PdCl2 coordination. The dithioethers 1-7 and the complex [PdCl2(4)]center dot CHCl3 were characterized by X-ray diffraction analysis. The crystal structures of 1-7 show that 2-7 are better preorganized chelating ligands for an exocyclic PdCl2 coordination than 1. The chelation effect of 1-7, the orientation of the sulfur atoms and the S center dot center dot center dot S donor distances, are influenced by the flexibility of the methylene units. In this series the unsaturated macrocyclic ligands 5 and 6 are the best chelating ligands for an efficient PdCl2 coordination. Comparative solvent extraction experiments with mn-12S(2)O(2) (mn = maleonitrile) reveal that the low interface activity of the new ligands reduces the extraction rate. However, a comparison with open-chain dithiomaleonitriles shows the impact of the macrocyclic effect of 4 and 5 on the extraction yield.},
  language  = {en}
}