Reports: ND653934-ND6: Functionalized Nanoparticles at Oil-Water Interface
Sergei A. Egorov, University of Virginia
During the report period we have continued theoretical studies of
the morphology
of Janus-like nanoparticles, i.e. nanoparticles covered with 2 types of incompatible
ligands (A and B) which undergo microphase separation under certain
conditions, thereby producing a Janus-like structure, where one half
of the nanoparticle surface is covered with ligand A and the other
half is covered with ligand B (assuming equimolar coverage). This kind
of microphase separation makes Janus nanoparticles ideal candidates
for controlling oil-water interfacial tension.
The graduate student Steven Merz has been continuing his theoretical
work (initiated during the previous report period) based on
self-consistent field theory (SCF) calculations. While SCF approach is
fast and efficient, thereby allowing a comprehensive scan of the
parameter space involved in the problem, it also has some important
limitations. First, as a mean-field theory, SCF neglects fluctuations,
which could play an important role in the vicinity of the oil-water
interface. Second, it is not straightforward to incorporate specific
chemical and structural details of the system into SCF model, even
though some of these details may play an important role in the
interfacial behavior of Janus nanoparticles and therefore must be
included (e.g. faceted nanoparticle cores are difficult to model in
the SCF lattice-based approach, but at the same time it is well
established that the facets play an important role in the
initialization of the microphase separation of incompatible ligands on
the nanoparticle surface). Given the fact that our theoretical work is
performed in close collaboration with the experimental group
of Professor David Green at the Department of Chemical Engineering of
the University of Virginia, it is important to incorporate as many
chemical and physical details into our model as possible, in order to
ensure that the theory can be used both for analyzing the existing
experimental data and for making predictions and guiding future
experiments. One viable theoretical approach to achieve this goal
would be to employ detailed atomistic computer simulations. While this
approach is less time-efficient than SCF theory, it does not suffer
from the aforementioned drawbacks of the latter.
Accordingly, Steven Merz has received extensive training in computer
simulation methods and has been carrying out detailed atomistic
simulations of ligand microphase separation on the nanoparticle
surface.
Another line of investigation dealt with adsorption and self-assembly of linear polymers at oil–water
interfaces modeled by means of extensive Molecular
Dynamics simulation. By varying the size, concentration, stiffness,and
composition of nonionic surfactant, we examined their impact on surface
tension at the phase boundary between oil and water.
Our results indicate that alternating AB-copolymers
are much more efficient than homopolymers or diblock copolymers in
reducing the surface tension.
This efficiency of the tested linear polymers is not very
sensitive with respect to surfactant chain length, except for the
AB-diblocks, where the shortest chains are also the most efficient
ones and rival the alternating architecture in reducing surface
tension. In contrast, increasing stiffness of all surfactants is found
to make them significantly less efficient with regard to
surface tension reduction. Stiffer chains are also found to form rafts, and at
higher concentration, quasi-crystalline blocks at the oil-water
interface leaving significant interfacial area devoid of surfactants. For the
shorter rigid surfactants one observes gradual tilting during
their self-assembly into bundles whereby the tilt angle increases
substantially with increasing coverage.