Bin Li1, Yong-Lei Wang2. 1. School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China. 2. Department of Materials and Environmental Chemistry, Arrhenius Laboratory, Stockholm University, SE-106 91 Stockholm, Sweden.
Abstract
We studied the self-assembly of miktoarm star polyelectrolytes with different numbers of arms in solutions with various ionic strengths using coarse-grained molecular dynamic simulations. Spherical micelles are obtained for star polyelectrolytes with fewer arms, whereas wormlike clusters are obtained for star polyelectrolytes with more arms at a low ionic strength environment, with hydrophilic arms showing a stretched conformation. The number of clusters shows an overall decreasing tendency with increasing the number of arms in star polyelectrolytes due to strong electrostatic coupling between polycations and polyanions. The formation of wormlike clusters follows an overall stepwise pathway with an intermittent association-dissociation process for star polyelectrolytes with weak electrostatic coupling. These computational results can provide relevant physical insights to understand the self-assembly mechanism of star polyelectrolytes in solvents with various ionic strengths and to design star polyelectrolytes with functional groups that can fine-tune self-assembled structures for specific applications.
We studied the self-assembly of miktoarm star polyelectrolytes with different numbers of arms in solutions with various ionic strengths using coarse-grained molecular dynamic simulations. Spherical micelles are obtained for star polyelectrolytes with fewer arms, whereas wormlike clusters are obtained for star polyelectrolytes with more arms at a low ionic strength environment, with hydrophilic arms showing a stretched conformation. The number of clusters shows an overall decreasing tendency with increasing the number of arms in star polyelectrolytes due to strong electrostatic coupling between polycations and polyanions. The formation of wormlike clusters follows an overall stepwise pathway with an intermittent association-dissociation process for star polyelectrolytes with weak electrostatic coupling. These computational results can provide relevant physical insights to understand the self-assembly mechanism of star polyelectrolytes in solvents with various ionic strengths and to design star polyelectrolytes with functional groups that can fine-tune self-assembled structures for specific applications.
Soft matter systems have a strong and sensitive response to external
perturbations at the room-temperature thermodynamic scale, and thus
plenty of nontrivial structures can be obtained via self-assembly
of varied building blocks in soft matter systems, such as spherical
micelles, wormlike clusters, vesicles, and so on. These self-assembled
structures have promising applications in academia and industrial
communities, like drug delivery, microreactors, etc.[1−3] A block copolymer is a representative soft matter system, and the
self-assembly of block copolymers has attracted significant attention
from researchers during the past decades.[4,5] Because
of significant improvements in synthesis techniques, there are abundant
experimental studies in synthesizing block copolymers with complex
architectures and varied functional groups. These block copolymers
show a striking self-assembly behavior from the corresponding building
blocks under varied thermodynamic circumstances and external constraints.
The star block copolymers consist of linear polymers (“arms”)
attached to a central core, and miktoarm star block copolymers are
those having at least two different kinds of arms connected to the
central units.[6,7] The miktoarm star block copolymers
can be treated as a “preassembled” cluster of multiple
diblock copolymers, and the functionality of miktoarm star block copolymers
is strongly correlated with their self-assembly behaviors at varied
thermodynamic states.[8−14] Bačová et al. investigated the influence of arm numbers
on self-assembled structures and pathways of poly(ethylene oxide)
(PEO)–polystyrene (PS) star polymers.[15,16] Tsitsilianis and co-workers found that miktoarm star block copolymers
tend to self-assemble into micelles with more easily controllable
sizes than the corresponding linear block copolymers,[17,18] which was also observed in our previous simulation study.[19]The self-assembly of ampliphilic star
block copolymers in aqueous
solutions is driven by multiple interactions among all the building
blocks. Besides hydrophilic and hydrophobic interactions of the building
blocks, electrostatic interactions among charged ionic groups have
a significant effect on the self-assembly behavior, especially in
polymers containing ionic repeating units, so-called polyelectrolytes.
A system containing both polycations and polyanions leads to complex
polyion coacervation driven by electrostatic associations between
oppositely charged repeating units.[20−28] In addition, electrostatic interactions between charged groups on
“macro-ions” in weak polyelectrolytes are dependent
on the ionic strength (ion valency and concentration) in solution,
according to Debye–Hückel (DH) theory. Thus, the ionic
strength and pH values of the solution provide extensive flexibilities
to control the self-assembled structures and morphologies of weak
polyelectrolytes in solution, which are driven by the electrostatic
interactions and release of screened counterions.[20,29−34]As addressed in previous paragraphs, the self-assembly behavior
of miktoarm star block copolymers depends on their architectures,
like the number of arms. The star shape results in a locally crowded
environment, leading to the arm block copolymers having an extended
conformation. If the arms contain ionic repeating units, the crowded
environment results in a more extended conformation and higher local
charge densities of the star polyelectrolytes due to the local Coulombic
repulsions.[35−37] The conformation of star polyelectrolytes also depends
on the pH values and ionic strengths.[38,39] Erhardt et
al. obtained supermicelles via the hydrolysis of PS–PMMA [poly(methyl
methacrylate)] star polymers.[40] Tsukruk
and co-workers obtained various self-assembled structures with star
polyelectrolytes under different pH values, ionic strengths, and temperatures.[41−45] Herein, in order to reveal the underlying self-assembly mechanism
of star polyelectrolytes in aqueous solutions with varied ionic strengths,
we performed extensive coarse-grained simulations to investigate the
self-assembly pathways and assembled structures of amphiphilic miktoarm
star polyelectrolytes (MSPEs) with different molecular conformations
at varied thermodynamic states.
Results
and Discussion
Self-Assembled Structures
We built
a coarse-grained (CG) model of MSPEs with different arm numbers, the
arm length was fixed at nine beads. The MSPE molecules are distributed
in aqueous solution in our modeling systems with an implicit solvent
and salt model, based on DH theory. The representative molecular architecture
is shown in Figure , and the detailed information on the model is described in section . First of all,
we investigated the self-assembly of MSPEs having eight arms (narm = 8), and we found that these MSPEs form
spherical micelles if the ionic strength is not too low (from Debye
length λD = 1.0σ to λD = 2.0σ). Figure A shows representative
self-assembled structures formed by MSPEs with narm = 8 at λD = 2.0σ. These micelles
show a relatively narrow distribution in cluster sizes, which is similar
to our previous findings for self-assembled structures from neutral
starlike polymers in aqueous solution.[14] In addition, some MSPEs form striking aggregates of spherical micelles
with a “necklace-like” connection or wormlike micelles
with a small aspect ratio at λD = 4.0σ (Figure B), but the majority
of self-assembled structures are spherical micelles. The formation
of large aggregates at low ionic strength is mainly attributed to
the strong electrostatic attractions between hydrophilic arms having
oppositely charged beads.
Figure 7
Architecture
of a pair of MSPEs, with a polycation and a polyanion.
In the two MSPEs, the gold beads represent central cores, violet and
blue beads represent positively and negatively charged groups, and
white and green spheres correspond to neutral beads with hydrophilic
and hydrophobic characters, respectively.
Figure 1
Self-assembled structures formed by MSPEs with
the number of arms narm = 8 at (A) λD = 2.0σ
and (B) λD = 4.0σ. (C) The normalized cluster
size distributions for micelles formed by MSPEs with narm = 8 at different ionic strengths,
the inset shows the size distribution of wormlike micelles and representative
structures.
Self-assembled structures formed by MSPEs with
the number of arms narm = 8 at (A) λD = 2.0σ
and (B) λD = 4.0σ. (C) The normalized cluster
size distributions for micelles formed by MSPEs with narm = 8 at different ionic strengths,
the inset shows the size distribution of wormlike micelles and representative
structures.On the basis of these computational
results, we calculated the
number of MSPEs in micelles (cluster size distributions) formed at
different ionic strengths (inverse of Debye lengths). The method for
calculating the cluster size is available in the Supporting Information. It is shown in Figure C that the cluster size distributions of
micelles show striking patterns at different ionic strengths. The
narrowest distribution of micelles formed at λD =
1.0σ corresponds to the micelles having the smallest cluster
sizes, which is essentially attributed to the strong screening effect
from implicit salts on the charged beads in the MSPEs leading to weak
electrostatic coupling between the MSPEs having oppositely charged
beads. Such a self-assembly behavior of MSPEs at λD = 1.0σ (high ionic strength) is akin to the self-assembled
structures of the corresponding neutral star block copolymers. A gradual
increase in Debye length (decrease in ionic strength) leads to the
formation of micelles with large cluster sizes or clusters with “connected”
micelles. For example, large clusters consisting of more than 60 MSPEs
are formed at λD = 4.0σ (inset of Figure C), which is not
observed in the systems at high ionic strengths, indicating that the
ionic strength of the modeling systems plays a significant role in
tuning the self-assembled structures of the MSPEs in aqueous solution.Additional analyses of self-assembled structures inside spherical
micelles were performed by calculating the radial distribution function
(RDF) between the centers of the MSPEs. Computational results of the
RDFs between centers of polycation–polyanion and polycation–polycation
pairs are illustrated in Figure , parts A and B, respectively. The peak positions of
the RDFs for centers of oppositely charged MSPEs exhibit a gradual
shift to small radial distances with a concomitant increase in Debye
length (decrease in ionic strength), indicating that a low ionic strength
leads to a strong electrostatic attraction between oppositely charged
beads in MSPEs. More pertinently, the strong electrostatic coupling
between oppositely charged beads in MSPEs leads to enhanced peak intensities
in the RDF plots. This is clearly manifested in the main peaks centered
at 4.0σ and in the secondary peaks located around 9.0σ
in the RDF plots for self-assembled micelles formed at λD = 4.0σ compared with those at λD =
2.0σ, indicating that the centers of the MSPEs in the self-assembled
micelles are more significantly aggregated at lower ionic strengths
compared with those formed at higher ionic strengths. As expected,
the peak positions in the RDF plots between polycations appear at
larger radial distances in modeling systems with lower ionic strengths,
due to stronger electrostatic repulsions between co-ions (Figure B).
Figure 2
Radial distribution functions
between centers of a (A) polycation–polyanion
pair and (B) polycation–polycation pair. Peak positions and
intensities are clearly manifested in the insets.
Radial distribution functions
between centers of a (A) polycation–polyanion
pair and (B) polycation–polycation pair. Peak positions and
intensities are clearly manifested in the insets.In the next step, we varied the number of arms in the MSPEs to
explore their self-assembled structures in aqueous solution at different
ionic strengths. Figure A presents a representative wormlike cluster formed by MSPEs with narm = 16 at λD = 2.0σ,
which is distinct from that formed by MSPEs with narm = 8 at the same ionic strength (Figure A). The self-assembled structure exhibits
a wormlike conformation with a large aspect ratio compared with that
formed by MSPEs with narm = 8 at λD = 4.0σ (Figure B). It should be emphasized that MSPEs with narm = 16 still self-assemble into spherical micelles at
a strong screening regime, for example, at λD = 1.0σ
(Figure S1). Such an observation indicates
that the self-assembled structures of the MSPEs depend on both the
number of arms in the MSPEs and the ionic strength of the aqueous
solution. An increase in the number of arms in the MSPEs results in
a high charge density in the local environment, leading to enhanced
electrostatic attractions between the polycations and polyanions,
which provides another driving force for clustering of MSPEs. Figure B presents representative
self-assembled structures of MSPEs with narm = 40 at λD = 2.0σ, which are characterized
by elongated clusters but with some amorphous structures. In addition,
the apolar domains formed by the hydrophobic beads in the MSPEs are
not fully covered by hydrophilic beads due to the strong condensation
effect of oppositely charged beads in the MSPEs.
Figure 3
Self-assembled structures
of MSPEs at λD = 2.0σ
with (A) narm = 16 and (B) narm = 40. (C) The phase diagram of λD vs narm of self-assembled structures
of MSPEs with explicit numbers (Nc) of
formed micelles in the modeling systems.
Self-assembled structures
of MSPEs at λD = 2.0σ
with (A) narm = 16 and (B) narm = 40. (C) The phase diagram of λD vs narm of self-assembled structures
of MSPEs with explicit numbers (Nc) of
formed micelles in the modeling systems.With systematic changes in the Debye length λD and
the number of arms narm, we constructed
a phase diagram for the self-assembled structures of MSPEs in aqueous
solution with varied ionic strengths, shown in Figure C. In order to further differentiate spherical
and wormlike micelles, we calculated the radius of gyration tensors
of the self-assembled clusters,[14,46,47] which is defined asS = , where a and b represent the x, y, or z components,
respectively. aCOM and bCOM are the centers of mass (COM)
of the clusters, and n is the number of CG beads
in the cluster. Diagonalization of matrix Λ gives three eigenvalues,
λ1, λ2, and λ3,
and herein we set λ1 > λ2 >
λ3. The largest eigenvalue λ1 represents
the
radius of gyration along the major axis of the cluster. The asphericity
parameter δ was defined to distinguish spherical or wormlike
micelles from the three eigenvalues withδ = 0 for
a perfect sphere, and δ
= 1 for a rod. Herein we define the micelle to be wormlike if δ
> 0.3, otherwise, the self-assembled structure is a spherical micelle.
Amorphous clusters are determined to be wormlike micelles having multiple
“branches”. In addition, the number of formed clusters, Nc, in the modeling systems was determined by
averaging simulation trajectories of the last 0.5 × 105τ and are shown as contour plots in Figure C. The method for counting the cluster number Nc is shown in the Supporting Information. A decrease in the ionic strength in aqueous solution
leads to the formation of fewer clusters with relatively large cluster
sizes. For instance, MSPEs with narm between
12 and 32 assemble into a few wormlike clusters at low ionic strength,
whereas smaller spherical micelles are formed if λD = 1.0σ. For MSPEs with a specific number of arms, the number
of formed clusters shows an overall decreasing tendency with the reduction
of ionic strength. The self-assembled structures around the border
between spherical micelles and wormlike clusters (triangle symbol,
purple and pink colors in contour plots in Figure C) are mixtures consisting of small wormlike
clusters and spherical micelles accompanying the association and dissociation
of the wormlike clusters. In most cases, only one or two large wormlike
clusters (e.g., Figure A) are formed without small spherical micelles (dark blue color in
the contour plots in Figure C). In modeling systems with MSPEs having an extremely large
number of arms (such as narm = 36 or 40),
amorphous clusters are observed (Figure B) if the screening effect on the polyions
is not very strong. The major component of the amorphous clusters
is still the elongated structure, but the fusion between different
wormlike clusters occurs with relatively random orientations.The radius of gyration values ⟨Rg2⟩ of
hydrophilic arms in the MSPEs were calculated to further characterize
the self-assembled structures of the MSPEs at varied ionic strengths.
The values of ⟨Rg2⟩ of hydrophilic arms in MSPEs
at various ionic strength conditions obtained from the last 0.5 ×
105τ are shown in Figure A for representative MSPEs with narm = 8, 16, and 40. The full time evolutions of ⟨Rg2⟩ for modeling systems consisting of MSPEs with narm = 16 at different ionic strengths are shown in Figure B. Hydrophilic arms
in MSPEs are more extended in aqueous solution with lower ionic strengths
due to strong intramolecular electrostatic repulsions, as expected.
The dependence of ⟨Rg2⟩ on the number of arms
in the MSPEs is more significant than that on ionic strengths in the
modeling systems, which is mainly attributed to the fact that MSPEs
with more arms have a stronger excluded volume effect and a higher
local charge density. However, although hydrophilic arms in MSPEs
at lower ionic strength (λD = 4.0σ) show a
decreasing tendency due to strong coupling between polycations and
polyanions, the equilibrium ⟨Rg2⟩ values
are still larger than those at higher ionic strength. The radius of
gyration of the hydrophilic arms in MSPEs increases with decreasing
ionic strength in solution, as shown in Figure B, owing to the stretched conformation of
the hydrophilic arms in the modeling systems. Additional computational
results of the evolution of ⟨Rg2⟩ for
MSPEs with narm = 8 and 40 show a similar
tendency and are shown in Figure S2.
Figure 4
(A) Mean-squared
radii of gyration ⟨Rg2⟩ of
the hydrophilic arms in MSPEs at different ionic strengths. (B) Time
evolution of ⟨Rg2⟩ of the hydrophilic arms in
MSPEs with narm = 16 at different ionic
strengths. The inset shows the computational results of the first
1.0 × 105τ.
(A) Mean-squared
radii of gyration ⟨Rg2⟩ of
the hydrophilic arms in MSPEs at different ionic strengths. (B) Time
evolution of ⟨Rg2⟩ of the hydrophilic arms in
MSPEs with narm = 16 at different ionic
strengths. The inset shows the computational results of the first
1.0 × 105τ.The values of ⟨Rg2⟩ of the hydrophilic
arms in MSPEs exhibit a monotonic increase with decreasing ionic strength
(Figure A), suggesting
that the hydrophilic arms in the MSPEs have an extended conformation
in the weak screening regime. The more extended hydrophilic blocks
often result in the tendency to form spherical micelles rather than
wormlike clusters, as the apolar domains are covered by the extending
hydrophilic part more completely, if the thermodynamic condition is
kept unchanged for the hydrophobic part. However, the phase diagram
shown in Figure C
indicates that MSPEs with identical numbers of arms tend to self-assemble
into wormlike clusters at low ionic strengths. It seems that the ⟨Rg2⟩ results are not consistent with our assumption above.In spherical micelles and wormlike clusters, polycations and polyanions
are strongly coupled in the low ionic strength regime, resulting in
significant overlap of the hydrophilic blocks in the MSPEs due to
the electrostatic pairing of oppositely charged beads. In the current
work, an ion pair is defined if a positively charged bead can find
at least one negatively charged bead within the distance where the
RDFs between the positively and negatively charged beads reach the
first peak (∼1.15σ as shown in the representative RDF
plots in Figure S3). The fraction of positively
charged beads paired with negatively charged beads was calculated
via fpair = npair/npos, in which npair is the number of formed ion pairs and npos is the total number of positively charged beads in
the modeling systems. Figure presents computational results of fpair for MSPEs at various ionic strengths with narm = 8, 16, and 40. For a given MSPE, a large proportion
of ions will form ion pairs with oppositely charged beads at low ionic
strength (large Debye length). In addition, the deviation among fpair values in MSPEs with different narm’s increases with decreasing ionic
strength. In the strong screening regime, for example, λD = 1.0σ, there is no obvious dependency between fpair and narm as
both polycations and polyanions exhibit structures similar to those
of the corresponding neutral star polymers. On the other hand, MSPEs
with more arms show a stronger overlapping effect toward those having
oppositely charged beads at the weak screening regime, such as at
λD = 4.0σ, which promotes the formation of
wormlike clusters.
Figure 5
Fraction of paired charged beads in MSPEs with narm = 8, 16, and 40 at different ionic strengths.
Fraction of paired charged beads in MSPEs with narm = 8, 16, and 40 at different ionic strengths.
Self-Assembly Pathways
Having reconciled
the self-assembled structures of the MSPEs in aqueous solution with
varied ionic strengths and the number of arms in the MSPEs, we seek
to examine the self-assembly pathways for the formation of wormlike
clusters. We tracked the growth of the largest self-assembled cluster
and the evolution of three eigenvalues λ1, λ2, and λ3 for this cluster in the modeling
systems. If the self-assembled structures include several relatively
small clusters with either wormlike or spherical shapes, for instance,
the structures formed by MSPEs with narm = 16 at λD = 1.5σ, the self-assembly pathway
shows an overall stepwise mechanism, as shown in Figure A, even cluster dissociation
occurs occasionally. The MSPEs form small wormlike clusters at 1.0
× 105τ, and the eigenvalue of the radius of
gyration tensor λ1 is slightly larger than that of
λ2 and λ3, corresponding to the
formed structures having a wormlike or cylindrical shape. At 2.0 ×
105τ, the tracked cluster dissociates from a wormlike
to a spherical cluster with three eigenvalues λ1 ≈
λ2 ≈ λ3. As time evolves,
this spherical cluster merges with others into a wormlike cluster
again at 3.0 × 105τ, but with a smaller cluster
size than that formed at 1.0 × 105τ. This wormlike
cluster continues to merge with others and forms a larger cluster,
the self-assembled wormlike cluster at 6.5 × 105τ
exhibits obvious curvature, reflected by a larger λ2 value, and cluster dissociation occurs again afterward, leading
to the formation of multiple small clusters. The dissociation and
association process occurs from 7.0 × 105τ to
9.0 × 105τ again, with representative clusters
at 7.5 × 105τ and 9.0 × 105τ
shown in Figure A.
Therefore, the overall self-assembly pathway follows a stepwise increase
in cluster sizes and at least one eigenvalue of the radius of gyration
tensor, with distinct and intermittent cluster dissociation during
the whole process of the simulations.
Figure 6
Time evolution of three eigenvalues of
the radius of gyration tensors
and cluster sizes for the growth of the largest self-assembled wormlike
clusters formed by MSPEs with narm = 16
at (A) λD = 1.5σ and (B) λD = 2.0σ. Representative snapshots are taken at specific times
indicated by the arrows.
Time evolution of three eigenvalues of
the radius of gyration tensors
and cluster sizes for the growth of the largest self-assembled wormlike
clusters formed by MSPEs with narm = 16
at (A) λD = 1.5σ and (B) λD = 2.0σ. Representative snapshots are taken at specific times
indicated by the arrows.The MSPEs with narm = 16 also self-assemble
into wormlike clusters at λD = 2.0σ, but the
sizes of the wormlike clusters are much larger than that formed at
λD = 1.5σ, resulting in a single cluster in
the simulation box (Figure C). The self-assembly pathway for this modeling system shows
a typical stepwise mechanism with the cluster dissociation occurring
rarely, as shown in Figure B. A small wormlike cluster is formed at 0.5 × 105τ, the small cluster is associated with another sphere
from the side at 0.75 × 105τ, from the observation
of the corresponding snapshot shown in Figure B and the relatively larger eigenvalue λ2, but then the sphere dissociates from the wormlike cluster
rapidly at 1.0 × 105τ. The number of MSPEs consisting
of this wormlike cluster continues to increase, and they form a larger
wormlike cluster at 3.0 × 105τ. The representative
snapshot and the corresponding three eigenvalues λ1 ≫ λ2 ≈ λ3 indicate
that this cluster is wormlike with a straight conformation and large
aspect ratio. This wormlike cluster reaches a size consisting of 102
MSPEs. The elongated cluster merges with other MSPEs after 5.0 ×
105τ, resulting in a single large cluster in the
system. Although the merging between different clusters occurs as
a typical stepwise pathway, the association and dissociation processes
were also observed during the clustering. Figure S4 shows that the number of clusters, Nc, oscillates during the clustering process at the time scales
of 2.75 × 105τ to 3.0 × 105τ
and 5.0 × 105τ to 5.25 × 105τ. It means that some intermediate metastable states appear
when the different clusters merge. The cluster shows a relatively
large curvature, from the snapshot at 1.0 × 106τ
in Figure B, as well
as larger λ2 values. Probably, the large curvature
of the cluster is due to the finite size effect, and it is also possible
to generate the wormlike cluster including more MSPE molecules in
a larger system, but it is beyond our simulation length and time scales.When the wormlike cluster formed at λD = 1.5σ
(Figure A) is compared
with that formed at λD = 2.0σ (Figure B), a significant difference
is that in the latter case the formation of the wormlike cluster occurs
earlier and it grows rapidly to reach a plateau consisting of many
MSPEs, whereas in the former case there is the occurrence of a distinct
and intermittent association–dissociation process during simulations.
Such a phenomenon was also observed for the same MSPEs by observing
the cluster number evolutions at different ionic strengths (Figure S5). This is attributed to effective Coulombic
attractions between polycations and polyanions, which are stronger
at lower ionic strengths leading to a faster fusion between MSPEs
carrying oppositely charged beads. If the electrostatic association
between the MSPEs is strong enough (low ionic strength), it will provide
another driving force together with hydrophobic associations among
the hydrophobic arms in the MSPEs to promote the self-assembly of
the MSPEs. However, if the electrostatic association between the MSPEs
is not so strong (high ionic strength), the hydrophobic association
among the hydrophobic arms is the main driving force for the MSPEs
to form wormlike clusters, with an intermittent association–dissociation
process due to the incompatibility between the hydrophilic and hydrophobic
arms in the MSPEs and an overcrowding effect of the hydrophilic corona
in the wormlike cluster, or only spherical micelles were formed in
simulations. The time evolution of the interaction energies between
different components for the two systems is shown in Figure S6, which shows that the hydrophobic and Coulombic
interactions drive the self-assembly process collectively (especially
at λD = 2σ), by overcoming the increase of
the hydrophilic interactions and the interactions between the two
kinds of arms, and converge after long time simulations. In addition,
the polyelectrolyte association process is not only driven by the
electrostatic attraction between oppositely charged repeat units but
also the entropic contribution due to the release of counterions as
well as water molecules. The counterions are adsorbed on the ionic
repeat units in isolated MSPE molecules, and the ions are covered
by solvation shells of water molecules, some other water molecules
are also formed as the hydration shell of the polyelectrolytes on
the charged groups driven by multiple interactions, for example, hydrogen
bonds are formed in sodium poly(styrene-co-styrenesulfonate)
aqueous solution.[48−50] Some of the counterions with the solvation shell
could be released during the association of oppositely charged MSPEs,
due to the excluded volume effect, as well as the dehydration occurs
since the hydrogen bonds between the polyelectrolyte and water break.
The rest of the “unpaired” charged repeating units are
still screened by the counterions in the hydrophilic shell of the
aggregates, the different number of counterions that remain in the
aggregates, which might be related to the salt concentration, could
lead to different self-assembly morphologies, due to the varied screening
effect. Our results are reasonable if the counterion and hydration
effects are considered. However, the analysis is qualitative because
our modeling system adopted an implicit solvent model with DH approximation.
Perhaps we could investigate the effect using a model with higher
resolution in future work.
Conclusions
In summary, we have studied the self-assembled structures and pathways
of amphiphilic MSPEs at different ionic strengths using coarse-grained
molecular dynamics (CGMD) simulations. The self-assembled structures
of MSPEs depend on both the number of arms in the MSPEs and the ionic
strength in solution. Spherical micelles are obtained by MSPEs with
fewer arms, and micelles exhibit distinct structural aggregations
at low ionic strength due to the strong electrostatic interactions
between the MSPEs. Wormlike clusters are formed by MSPEs with intermediate
numbers of arms (less than 36 arms) at low ionic strength, in which
hydrophilic arms are less stretched during the self-assembly process
of the MSPEs. These wormlike clusters exhibit extended conformation
with a gradual increase in ionic strength. The formation of wormlike
clusters follows an overall stepwise pathway, and an intermittent
association–dissociation process occurs in simulation systems
if polycations and polyanions have weak electrostatic coupling. It
is expected that these modeling results can provide relevant physical
insights for the prediction of self-assembled structures of MSPEs
at varied ionic strengths and the design of specific MSPE structures
to self-assemble into striking aggregates for promising applications.
Models and Methods
Coarse-Grained Model
We built the
CG model of the MSPEs including one type having positive charges on
the arms (“polycation”) and the other type with negative
charges on the arms (“polyanion”). Each MSPE has a central
core and two kinds of arms, including hydrophobic arms and hydrophilic
arms with charged beads. Herein we kept the length of all arms at
nine beads and varied the number of arms with respect to an equal
arm number for the two types of arms in a single MSPE molecule. The
model of a polycation and a polyanion is shown in Figure , with every third bead carrying a unit charge. Such a CG
model for MSPEs, as addressed in previous publications, can properly
describe experimental phase behaviors and self-assembly of star polyelectrolytes
in aqueous solution.[51−55]Architecture
of a pair of MSPEs, with a polycation and a polyanion.
In the two MSPEs, the gold beads represent central cores, violet and
blue beads represent positively and negatively charged groups, and
white and green spheres correspond to neutral beads with hydrophilic
and hydrophobic characters, respectively.All CG beads interact with each other via the Lennard-Jones (LJ)
potentialwhere ϵ is the LJ interaction strength between beads i and j. σ reflects the bead diameter,
and we set it to
1.0 for the length unit. The LJ potential is truncated and shifted
at the cutoff radius rcut, beyond which
the potential is 0. We set ϵ to 1.0 for LJ interactions between
hydrophobic beads and 0.5 between hydrophilic and hydrophobic beads,
reflecting the incompatibility between these two kinds of arms.[13,14,56] The cutoff radius rcut is 2.5σ for the aforementioned nonbonded interactions.
The interaction strength ϵ = 1.0 between hydrophilic beads is
truncated at 21/6σ, which results in a purely repulsive
potential.[57]For hydrophilic arms
in two MSPEs, every third bead from the central
unit is charged with partial charges of ±1.0e. Electrostatic interactions between charged CG beads were based
on DH theory, which was developed based on Poisson–Boltzmann
(PB) theory, and it provides a feasible route to obtain the analytic
solution of the electrostatics potential via a linearized approximation.
The application of DH theory on polyelectrolytes has been adopted
by many researchers. For instance, the relationship between chain
structures and ionic strengths shows the same tendency as the system
with explicit salts,[58,59] which means that the adoption
of DH theory reflects the properties of polyelectrolytes qualitatively
in some circumstances. The potential was described by a screened Coulombic
form including an additional exponential damping factor to the regular
Coulombic termwhere z and z are the
charge valencies of beads i and j. The Bjerrum length, λB = e2/(ϵrkBT), defines the length at which the electrostatic interaction
energy is equal to the thermal energy scale kBT, with ϵr being the relative
dielectric constant of the solvent, the value of λB is 7.1 Å for water at ambient condition. Herein we fixed λB = 3.0σ to mimic the self-assembly of realistic polyelectrolytes,
such as sodium poly(styrene-co-styrenesulfonate)
and poly(acrylamide-co-sodium-2-acrylamido-2-methylpropane-sulfonate)
in aqueous solution.[52−55,60] The parameter κ is the
inverse of the Debye length, being described asindicating that the Debye length decreases
with an increase in ionic strength. In the current work, the ionic
strengths in the modeling systems were tuned by setting different
λD values from λD = 1σ to
4σ, falling in the range that the chain conformation is close
to that in explicit salts with full Coulombic interactions,[58] and the screening effect of salts on charged
beads was reflected by the Debye length implicitly. The cutoff radius
of the screened Coulombic potential (eq ) is set to 5.3λD,[61] indicating that a system of relatively low ionic strength
with a weak electrostatic screening effect experiences longer range
interactions. It should be addressed that the adoption of the CG model
of star polyelectrolytes with implicit solvent and salt models makes
CGMD simulations efficient for studying the self-assembled structures
and pathways of star polyelectrolytes in aqueous solution, which,
however, might result in the lack of an association–dissociation
process of the screening ions on the charged CG beads of the star
polyelectrolytes. Nevertheless, the adopted models can provide relevant
physical insights of self-assembled structures and morphologies of
star polyelectrolytes in aqueous solution with tunable ionic strengths.The adjacent CG beads are connected via the finite extension nonlinear
elastic (FENE) bond potentialwhere K denotes the spring
constant and is set to 7.0ϵ/σ2, R0 represents the maximum allowed distance between two
bonded CG beads and is set to 2.0σ in the current work.[51−55]
Simulation Details
The simulation
box length is set to 100σ for all modeling systems, with periodic
boundary conditions (PBC) applied in three dimensions. All the simulations
are performed under constant bead concentration, each simulation box
contains roughly 25 000 CG beads, with equal numbers of polycations
and polyanions to keep the system electroneutral, and we assumed that
our modeling system corresponds to the condition that the solution
pH is away from the pKa of each MSPE molecule
and they can be close to fully charged.[62] The equation of motion is updated by following Langevin equation:where ξ is the friction coefficient
and is fixed at 1.0τ–1, in which τ = is the time unit. FR is the random force and satisfies the fluctuation–dissipation
theorem:The coupling of friction and random forces
serves as an effective thermostat to mimic solvent implicitly. The
simulation temperature is set to 1.2ϵ/kB for all modeling systems. All CG MD simulations were performed
using the LAMMPS package.[63] The integration
time step was set to δt = 0.005τ, and
all CG MD simulations ran 2.0 × 108 steps, to guarantee
that the total energies of the modeling systems were converged.