A comprehensive Brownian Dynamics approach for the determination of non-ideality parameters from analytical ultracentrifugation.
A comprehensive Brownian Dynamics approach for the determination of non-ideality parameters from analytical ultracentrifugation.
复制标题
DOI:
10.1021/acs.langmuir.9b01916
复制
发表时间:
2019-08
期刊:
影响因子:
--
通讯作者:
M. Uttinger;S. Wawra;Tobias Guckeisen;J. Walter;Andreas Bear;T. Thajudeen;P. Sherwood;Ana-S Smith;A. Wagemans;W. Stafford;W. Peukert
中科院分区:
文献类型:
--
作者:
M. Uttinger;S. Wawra;Tobias Guckeisen;J. Walter;Andreas Bear;T. Thajudeen;P. Sherwood;Ana-S Smith;A. Wagemans;W. Stafford;W. Peukert
Brownian Dynamics (BD) has been applied as a comprehensive tool to model sedimentation and diffusion of nanoparticles in analytical ultracentrifugation (AUC) experiments. In this manuscript, we extend the BD algorithm by considering space-dependent diffusion and solvent compressibility. With this, the changes in the sedimentation and diffusion coefficient from altered solvent properties at increased pressures are accurately taken into account. Moreover, it is demonstrated how the concept of space-dependent diffusion is employed to describe concentration-dependent sedimentation and diffusion coefficients in particular through the Gralen coefficient and the second virial coefficient. The influence of thermodynamic non-ideality on diffusional properties can be accurately simulated and agree with well-known evaluation tools. BD simulations for sedimentation equilibrium and sedimentation velocity AUC experiments including effects of hydrodynamic and thermodynamic non-ideality are validated by global evaluation in SEDANAL. The interplay of solvent compressibility and retrieved non-ideality parameters can be studied utilizing BD. Finally, the second virial coefficient is determined for lysozyme from sedimentation velocity AUC experiments and BD simulations and compared to membrane osmometry. These results are in line with DLVO theory. In summary, BD simulations are established for the validation of non-ideal sedimentation in AUC providing a sound basis for the evaluation of complex interactions even in polydisperse systems.