School of Chemical, Biological, and Materials Engineering, The University of Oklahoma, Norman, Oklahoma 73019, United States.
Langmuir. 2013 Jun 18;29(24):7221-8. doi: 10.1021/la304828u. Epub 2013 Mar 21.
Dissipative particle dynamics simulations are performed to study the structural and dynamical properties of various systems of nanoparticles accumulated at the water/oil interface. Homogeneous and Janus nanoparticles with different surface compositions are studied. For all nanoparticles, as the surface density increases, a transition from a liquidlike to a solidlike state is observed, as expected. At a high density of nanoparticles, hexagonal structures emerge and the nanoparticles' self-diffusion coefficient decreases because of caging effects. Similar results are observed for nanoparticles with different surface chemistry. Because different nanoparticles have different contact angles at the water/oil interface, the results obtained for systems containing mixed nanoparticles are more interesting. For example, our results show that the self-diffusion coefficient is not a monotonic function of the system composition, caused by the complex relation between hydrodynamic interactions and effective nanoparticle-nanoparticle interactions.
采用耗散粒子动力学模拟研究了在油水界面处聚集的各种纳米粒子体系的结构和动力学性质。研究了具有不同表面组成的均匀纳米粒子和各向异性纳米粒子。对于所有的纳米粒子,随着表面密度的增加,观察到从液态到固态的转变,这是预期的结果。在纳米粒子的高密度下,出现了六方结构,由于笼效应,纳米粒子的自扩散系数降低。对于具有不同表面化学性质的纳米粒子,也观察到了类似的结果。由于不同的纳米粒子在油水界面处具有不同的接触角,因此含有混合纳米粒子的体系的结果更有趣。例如,我们的结果表明,自扩散系数不是系统组成的单调函数,这是由于流体力学相互作用和有效纳米粒子-纳米粒子相互作用之间的复杂关系所致。