Adsorption of Diclofenac and PFBS on a Hair Keratin Dimer.

Environmental pollution by man-made toxic and persistent organic compounds, found throughout the world in surface and groundwater, has various negative effects on aquatic life systems and even humans. Therefore, it is important to develop and improve water treatment technologies capable of removing such substances from wastewater and purifying drinking water. The two substances investigated are the widely used painkiller diclofenac and a member of the class of "forever chemicals", perfluorobutanesulfonate. Both are known to have serious negative effects on living organisms, especially under long-term exposure, and are detectable in human hair, suggesting adsorption to a part of the hair fiber complex. In this study, a human hair keratin dimer is investigated for its ability to absorb diclofenac and perfluorobutanesulfonate. Initial predictions for binding sites are obtained via molecular docking and subjected to molecular dynamics simulations for more than 1 µs. The binding affinities obtained by the linear interaction energy method are high enough to motivate further research on human hair keratins as a sustainable, low-cost, and easily allocatable filtration material.

Adsorption of Diclofenac and Its UV Phototransformation Products in an Aqueous Solution on PVDF: A Molecular Modeling Study.

The presence of pharmaceuticals in drinking water has generated considerable scientific interest in potential improvements to polymeric membranes for water purification at the nanoscale. In this work, we investigate the adsorption of diclofenac and its ultraviolet (UV) phototransformation products on amorphous and crystalline poly(vinylidene difluoride) (PVDF) membrane surfaces at the nanoscale using molecular modeling. We report binding affinities by determining the free energy landscape via the extended adaptive biasing force method. The high binding affinities of the phototransformation products found are consistent with qualitative experimental results. For diclofenac, we found similar or better affinities than those for the phototransformation products, which seems to be in contrast to the experimental findings. This discrepancy can only be explained if the maximum adsorption density of diclofenac is much lower than that of the products. Overall, negligible differences between the adsorption affinities of the crystalline phases are observed, suggesting that no tuning of the PVDF surfaces is necessary to optimize filtration capabilities.

Sampling the Bulk Viscosity of Water with Molecular Dynamics Simulation in the Canonical Ensemble.

The bulk viscosity, a transport coefficient in the Navier-Stokes equation, is often neglected in the continuum mechanics of Newtonian fluids. Recently, however, the role of the bulk viscosity is highlighted in the area of surface and interface-related phenomena, in systematic model up-scaling and as an important quantity for the interpretation of acoustic sensor data. The prediction of the bulk viscosity usually employs molecular dynamics and the Green-Kubo linear response theory, which is used to sample transport properties in general from molecular trajectories. Since simulations are usually carried out at specified state points in concert with the evaluation of other thermodynamic properties, the role of thermostats in molecular dynamics needs to be explored systematically. In this work, we carefully investigate the role of thermostatting schemes and numerical implementations of the Green-Kubo formalism, in particular in the canonical ensemble, using two popular water force field models. It turns out that the sampling of the bulk and shear viscosities is a delicate challenge since details of thermostatting and numerical subtleties may have an influence on the results beyond statistical uncertainties. Based on the present findings, we conclude with hints on how to construct robust sampling in the canonical ensemble for the bulk viscosity.