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

当释放到表面沃茨中时，工程化无机纳米颗粒（EINP）可以经历多种转化。MASK的目的是了解在何种条件下EINP在水生系统中将附着到悬浮物，在何种条件下，在何种时间尺度下EINP被NOM包覆在淡水系统中，这些包覆的胶体颗粒如何在水生系统中稳定，以及水生老化过程在何种程度上是可逆的。同源聚集，涂层的变化，生物相互作用和异源聚集被假设为控制EINP在水体中老化的关键过程。在过程导向的实验室培养实验（50毫升至6升）越来越复杂，MASK解开的相关性和无机胶体，水生和成壤有机物质和溶液物理化学的EINP的稳定性的相互作用。这些系统将相继接近真实的沃茨中的情况。因此，MASK提供了关于水生环境中EINP通量、其时间尺度、可逆性和相对相关性的信息。将通过标准光散射技术、ICP-MS、ESEM/EDX、WetSTEM和AFM分析EINP。本文介绍了一种将流体动力学半径色谱（HDC）与等离子体质谱联用的方法。Tiede for nAg 0将被优化和开发用于进一步的EINP分析，MASK进一步负责虚拟子项目ANALYSIS，开发和优化EINP分析的联合研究单元方法，样品制备和样品储存，方法交流和协调联合分析和中央EINP数据库。

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.