3 research outputs found
Amorphous Porous Organic Cage Membranes for Water Desalination
Emerged as a new class of nanoporous
materials, porous organic
cages (POCs) possess salient features of solvent processability and
water stability; thus, they are envisioned as promising membrane materials
for water desalination. In this study, we propose a simulation protocol
to construct atomic models of amorphous POC membranes and examine
their desalination performance. Five membranes (AC1, AC2, AC3, AC16,
and AC17) with similar cage structure but different periphery groups
are considered. All the five membranes exhibit 100% salt rejection.
In contrast to crystalline CC1 membrane, which is impermeable to water,
AC1 has a water permeability <i>P</i><sub>w</sub> of 3.6
× 10<sup>–8</sup> kg·m/(m<sup>2</sup>·h·bar).
With increasing interconnected pores in AC2, AC3, AC16, and AC17, <i>P</i><sub>w</sub> increases. Due to the existence of hydroxyl
groups in CC17 cages, AC17 exhibits the highest <i>P</i><sub>w</sub> of 3.17 × 10<sup>–7</sup> kg·m/(m<sup>2</sup>·h·bar), which is higher than in commercial reverse
osmosis membranes. Significantly, <i>P</i><sub>w</sub> is
found to enhance in mixed AC3/AC17 and AC16/AC17 membranes with up
to one-fold enhancement. The enhanced <i>P</i><sub>w</sub> is attributed to the counterbalance between water sorption and diffusion.
This simulation study provides the bottom-up insights into the dynamics
and structure of water in amorphous POC membranes, highlights their
potential use for water desalination, and suggests a unique strategy
to enhance desalination performance by tuning the composition of mixed
POC membranes
Spreading of a Unilamellar Liposome on Charged Substrates: A Coarse-Grained Molecular Simulation
Supported lipid bilayers
(SLBs) are able to accommodate membrane proteins useful for diverse
biomimetic applications. Although liposome spreading represents a
common procedure for preparation of SLBs, the underlying mechanism
is not yet fully understood, particularly from a molecular perspective.
The present study examines the effects of the substrate charge on
unilamellar liposome spreading on the basis of molecular dynamics
simulations for a coarse-grained model of the solvent and lipid molecules.
Liposome transformation into a lipid bilayer of different microscopic
structures suggests three types of kinetic pathways depending on the
substrate charge density, that is, top-receding, parachute, and parachute
with wormholes. Each pathway leads to a unique distribution of the
lipid molecules and thereby distinctive properties of SLBs. An increase
of the substrate charge density results in a magnified asymmetry of
the SLBs in terms of the ratio of charged lipids, parallel surface
movements, and the distribution of lipid molecules. While the lipid
mobility in the proximal layer is strongly correlated with the substrate
potential, the dynamics of lipid molecules in the distal monolayer
is similar to that of a freestanding lipid bilayer. For liposome spreading
on a highly charged surface, wormhole formation promotes lipid exchange
between the SLB monolayers thus reduces the asymmetry on the number
density of lipid molecules, the lipid order parameter, and the monolayer
thickness. The simulation results reveal the important regulatory
role of electrostatic interactions on liposome spreading and the properties
of SLBs
Molecular Theory for Electrokinetic Transport in pH-Regulated Nanochannels
Ion
transport through nanochannels depends on various external
driving forces as well as the structural and hydrodynamic inhomogeneity
of the confined fluid inside of the pore. Conventional models of electrokinetic
transport neglect the discrete nature of ionic species and electrostatic
correlations important at the boundary and often lead to inconsistent
predictions of the surface potential and the surface charge density.
Here, we demonstrate that the electrokinetic phenomena can be successfully
described by the classical density functional theory in conjunction
with the Navier–Stokes equation for the fluid flow. The new
theoretical procedure predicts ion conductivity in various pH-regulated
nanochannels under different driving forces, in excellent agreement
with experimental data