Impact of interactions between engineered inorganic nanoparticles (EINP) and natural organic matter (NOM) on structure and persistence of NOM coatings and on reversibility of EINP attachment to environmental surfaces
Impact of interactions between engineered inorganic nanoparticles (EINP) and natural organic matter (NOM) on structure and persistence of NOM coatings and on reversibility of EINP attachment to environmental surfaces
批准号:
200690177
负责人:
Professorin Dr. Gabriele Schaumann
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Units
财政年份:
2011
资助国家:
德国
项目状态:
已结题
起止时间:
2010-12-31 至 2020-12-31
中文摘要
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英文摘要
When released into surface waters, engineered inorganic nanoparticles (EINP) can be subject to multiple transformations. The objectives of MASK are to understand under which conditions EINP in aquatic systems will attach to suspended matter, under which conditions and in which time scale EINP are coated by NOM present in freshwater systems, how these coated colloidal particles are stabilized in the aquatic system and to which extent the aquatic aging processes are reversible. Homo-aggregation, coating changes, biological interactions and hetero-aggregation are hypothesized as key processes governing EINP aging in water bodies. In process orientated laboratory incubation experiments (50 ml to 6 l) with increasing complexity, MASK unravels the relevance and the interplay of inorganic colloids, aquagenic and pedogenic organic matter and solution physicochemistry for stability of EINP. These systems will successively approach situations in real waters. MASK thus provides information on EINP fluxes in the aquatic compartment, their time scales, reversibility and relative relevance. EINP will be analysed by standard light scattering techniques, ICP-MS, ESEM/EDX, WetSTEM and AFM. A method coupling hydrodynamic radius chromatography (HDC) with ICPMS recently developed by K. Tiede for nAg0 will be optimized and developed for further EINP analysis, MASK is further responsible for the virtual subproject ANALYSIS, the development and optimization of joint research unit methods of EINP analysis, sample preparation and sample storage, the exchange of methods and coordinates the joint analyses and the central EINP database.
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