Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Framboidal ABC triblock copolymer vesicles: a new class of efficient Pickering emulsifier

C. J. Mable , N. J. Warren , K. L. Thompson , O. O. Mykhaylyk * and S. P. Armes *
Department of Chemistry, University of Sheffield, Brook Hill, Sheffield, South Yorkshire S3 7HF, UK. E-mail: o.mykhaylyk@sheffield.ac.uk; s.p.armes@sheffield.ac.uk

Received 29th June 2015 , Accepted 5th August 2015

First published on 5th August 2015


Abstract

Pickering emulsions offer important advantages over conventional surfactant-stabilized emulsions, including enhanced long-term stability, more reproducible formulations and reduced foaming problems. The recent development of polymerization-induced self-assembly (PISA) offers considerable scope for the design of a wide range of block copolymer nanoparticles with tunable surface wettability that may serve as bespoke Pickering emulsifiers. In the present study, we exploit PISA to design a series of model framboidal ABC triblock copolymer vesicles with exquisite control over surface roughness. Transmission electron microscopy (TEM) and small-angle X-ray scattering (SAXS) were utilized to characterize these nanoparticles, which were subsequently used to stabilize n-dodecane emulsion droplets in water. The adsorption efficiency, Aeff, of the nanoparticles at the n-dodecane/water interface was determined as a function of increasing vesicle surface roughness using a turbidimetry assay. A strong correlation between surface roughness and Aeff was observed, with Aeff increasing from 36% up to 94%. This is a significant improvement in Pickering emulsifier efficiency compared to that reported previously for similar vesicles with smooth surfaces. In summary, nanoparticles with appreciable surface roughness are much more effective Pickering emulsifiers and this parameter can be readily fine-tuned using a highly efficient PISA formulation.


Introduction

Pickering emulsions are water or oil droplets that are stabilized by colloidal particles and have been recognised for more than a century.1 These systems typically exhibit greater droplet stability compared to surfactant-stabilized emulsions.2 This is the result of strong, essentially irreversible particle adsorption at the oil–water interface, which minimizes the interfacial area between the two immiscible liquids and provides a steric barrier towards droplet coalescence.2,3 A wide range of nanoparticles such as silica sols4,5 polystyrene latexes6–9 and inorganic clays10 have been shown to be effective Pickering emulsifiers. More recently, cross-linked block copolymer nanoparticles prepared by reversible addition–fragmentation chain transfer (RAFT) polymerization11,12 have proven to be effective oil-in-water13 and water-in-oil14 Pickering emulsifiers. For example, Thompson et al.13 prepared highly stable emulsions using poly(glycerol monomethacrylate-block-2-hydroxypropyl methacrylate-block-ethylene glycol dimethacrylate) (PGMA-b-PHPMA-b-PEGDMA) triblock copolymer vesicles. Turbidimetry studies indicated that these nanoparticles had an adsorption efficiency of as low as 57%, depending on the vesicle concentration used for homogenization. This relatively poor adsorption efficiency was in part attributed to the high water content of the vesicles, which leads to a low Hamaker constant compared to solid particles.

In principle, particle wettability can be modulated by increasing surface roughness in order to enhance interfacial adsorption and hence Pickering emulsion stability. This hypothesis has been recently verified by San-Miguel and Behrens, who coated cationic silica microparticles with anionic nanoparticles prepared from a commercial methacrylic acid/methyl methacrylate statistical copolymer (Eudragit S-100; 33% methacrylic acid). Solvent annealing of the nanoparticle coating was used to control the surface roughness of the microparticles, which were subsequently utilized to prepare oil-in-water Pickering emulsions at pH 5.15 In a related study, carbon black particles possessing a characteristic fractal morphology were used to stabilize the water/n-octane interface.16

In the present study, we prepare a series of ABC triblock copolymer vesicles of exquisitely tunable surface roughness.17 First, a poly(glycerol monomethacrylate) (PGMA) macromolecular chain transfer agent (macro-CTA) is chain-extended using 2-hydroxypropyl methacrylate (HPMA) via RAFT aqueous dispersion polymerization. In situ polymerization-induced self-assembly (PISA) occurs to form nascent nanoparticles comprising poly(2-hydroxypropyl methacrylate) (PHPMA) cores that are sterically stabilized by the water-soluble PGMA chains.18–21 Depending on the relative volume fractions of the PGMA and PHPMA blocks, well-defined copolymer spheres, worms or vesicles can be obtained at relatively high solids directly in aqueous solution.22 The mechanism of formation of the vesicular morphology has been investigated by Blanazs et al.22,23 Chambon and co-workers reported that chain extension of such PGMA–PHPMA precursor vesicles using a water-insoluble monomer such as benzyl methacrylate (BzMA) results in the formation of framboidal (raspberry-like) ABC triblock copolymer vesicles via seeded RAFT emulsion polymerization.24 Herein, we revisit this formulation in order to gradually increase the target degree of polymerization (DP) of the PBzMA block over a wide range using the same batch of PGMA–PHPMA diblock copolymer vesicles. This systematic approach enables the evolution of the framboidal morphology to be explored in detail: a series of vesicles with gradually increasing surface roughness are produced, as judged by transmission electron microscopy (TEM) and small-angle X-ray scattering (SAXS). These framboidal vesicles are then employed to prepare oil-in-water Pickering emulsions using either n-dodecane or n-hexane as the droplet phase. The emulsions are characterized in terms of their droplet size distributions and the particle adsorption efficiency at the oil/water interface is assessed as a function of surface roughness. For the sake of brevity, a shorthand notation is utilized throughout the manuscript to describe the various block copolymers. Thus G, H, B, and E denote glycerol monomethacrylate, 2-hydroxypropyl methacrylate, benzyl methacrylate and ethylene glycol dimethacrylate, respectively. For example, GxHyBz represents a poly(glycerol monomethacrylate-block-2-hydroxypropyl methacrylate-block-benzyl methacrylate) copolymer, where x, y, and z indicate the mean degrees of polymerization (DP) of the three respective blocks.

Results and discussion

Synthesis and characterization

The initial RAFT solution polymerization of GMA was conducted in ethanol at 70 °C to generate a near-monodisperse G63 macro-CTA (Mw/Mn = 1.16; see Fig. S1 and Table 1). After purification, this water-soluble macro-CTA was utilized for the in situ RAFT aqueous dispersion polymerization of HPMA at 15% w/w solids. 1H NMR studies indicated that >99% HPMA conversion was achieved within 2 h at 70 °C, as expected from previous studies.23 Gel permeation chromatography (GPC) studies indicated that near-monodisperse diblock copolymers were obtained with minimal macro-CTA contamination and high blocking efficiencies (Mw/Mn = 1.16; see Fig. S1 and Table 1). GPC traces were invariably unimodal but typically exhibited a high molecular weight shoulder. The latter feature is attributable to low levels of dimethacrylate impurity within HPMA (approximately 0.07 mol% as judged by HPLC analysis), which results in light branching of the PHPMA chains. TEM images (see first TEM image shown in Fig. 1) reveal a pure vesicular morphology, as expected for this asymmetric diblock composition. The vesicle folds that are discernible in the TEM images are the result of buckling and/or partial collapse of these relatively delicate nano-structures under the ultrahigh vacuum conditions. These well-defined G63H350 diblock copolymer precursor vesicles were also characterized by DLS (see Table 1) and then utilized for the in situ RAFT seeded emulsion polymerization of BzMA at 70 °C to produce a series of nine G63H350Bz triblock copolymers (where z ranges from 25 to 400).
Table 1 Summary of 1H NMR calculated composition and conversion, GPC number-average molecular weight (Mn) and polydispersity (Mw/Mn) and DLS hydrodynamic diameter (Dh) obtained for a G63 macro-CTA, linear G63H350 diblock copolymer precursor vesicles and framboidal G63H350Bz triblock copolymer vesicles (where z ranges from 25 to 400)
Copolymer composition Conv. (%) M n (kg mol−1) M w/Mn D h (PDI) (nm)
a Refers to HPMA conversion in this case.
G63 17.6 1.16
G63H350 >99a 82.2 1.16 362 (0.08)
G63H350B25 100 87.3 1.16 401 (0.09)
G63H350B50 100 100.0 1.10 411 (0.09)
G63H350B71 94 102.1 1.10 406 (0.09)
G63H350B97 97 104.5 1.11 407 (0.07)
G63H350B125 100 112.2 1.12 394 (0.04)
G63H350B169 97 114.3 1.13 364 (0.06)
G63H350B200 100 117.7 1.15 375 (0.08)
G63H350B294 98 130.7 1.18 366 (0.05)
G63H350B400 100 140.9 1.25 418 (0.12)



image file: c5sc02346g-f1.tif
Fig. 1 Representative TEM images obtained for a series of framboidal G63H350Bz triblock copolymer vesicles (where z = 25–400) and also the precursor G63H350 diblock copolymer vesicles. A 200 nm scale bar applies for the first ten images, while a 500 nm scale bar applies for the last three images.

1H NMR studies for these triblock copolymers (see Fig. S2) indicate conversions greater than 96% (see Table 1). Signal j at 7.1–7.4 ppm, which is assigned to the five aromatic BzMA protons, increases on targeting higher DPs. DMF GPC studies confirmed that near-monodisperse triblock copolymers were obtained (Mw/Mn ranges from 1.10 to 1.25) with high blocking efficiencies; see Fig. S1 and Table 1. It is noteworthy that these polydispersities are significantly lower than those reported by Chambon et al., who reported Mw/Mn values as high as 1.50.24 This is most likely attributable to the higher macro-CTA/initiator molar ratio of 5.0 employed in the present work. In contrast, Chambon et al. used a macro-CTA/initiator molar ratio of just 2.0, which is known to lead to reduced living character for RAFT polymerizations and may also lead to homopolymer impurities.25 Moreover, it is worth noting that Chambon et al. only targeted three G58H350Bz copolymers, for which z was 200, 300 or 400.24

In the present study, we explore the evolution of the framboidal morphology in much more detail (nine G63H350Bz copolymers, with z ranging from 25 to 400) while achieving significantly better control over the copolymer molecular weight distribution.

DLS and TEM studies indicate that the vesicle diameter is more or less unchanged as the PBzMA DP is increased (see Table 1 and Fig. 1). TEM analysis of the G63H350 diblock copolymer precursor vesicles indicates a relatively smooth and featureless surface morphology (see Fig. 1). After chain extension with BzMA, the vesicle surface becomes increasingly rough until individual micelle-like globules of approximately 34 nm can be observed at a block copolymer composition of G63H350B97. This suggests that nano-scale phase separation occurs within the vesicle walls during the polymerization of BzMA, as previously reported by Chambon et al.24 As the target PBzMA DP is increased, the globules grow in size and prominence.

Small-angle X-ray scattering (SAXS) studies

SAXS is used to further characterize this framboidal vesicular morphology. TEM images (Fig. 1) suggest three distinct particle morphologies: vesicles with smooth membranes (morphology 1), vesicles with pitted membranes (morphology 2) and vesicles with globular membranes (morphology 3) (see Fig. 2a). The latter morphology is comparable to the polymer core–particulate silica shell particles reported by Balmer and co-workers.26–29 In this earlier work, Monte Carlo simulations were utilized to demonstrate26 that the SAXS patterns obtained for such nanocomposite particles can be described by a two-population model represented by a superposition of two scattering signals originating from a core–shell spherical particle (population 1) and the small spherical silica particles that formed the shell (population 2).
image file: c5sc02346g-f2.tif
Fig. 2 Panel (a) shows a schematic representation of the structural morphology of both a G63H350 diblock copolymer precursor vesicle and a series of G63H350Bz triblock copolymer vesicles, where red = PGMA (G), light blue = PHPMA (H), light green = mixed PHPMA and PBzMA (B) membrane where z ≤ 50, and dark green = mixed PHPMA and PBzMA membrane where z ≥ 97. Panel (b) shows SAXS patterns obtained for 1.0% w/w aqueous dispersions of G63H350 diblock copolymer precursor vesicles (z = 0) and a series of framboidal G63H350Bz triblock copolymer vesicles, where z = 25, 50, 97, 125, 169, 200, 294 or 400. Solid lines represent fitting curves: for z = 0, 25 or 50, a single population model was sufficient, whereas two populations were required for higher z values. For clarity, the SAXS patterns are shifted upward by an arbitrary factor indicated in the figure. Panel (c) displays SAXS patterns obtained for both 1.0% w/w aqueous sucrose and aqueous dispersions of framboidal G63H350B125 triblock copolymer vesicles. Fitting curves are represented by solid black lines. A two-population model was required for fitting [morphology 3 (M3) in panel (a)]: population 1 is represented by red dashed lines and population 2 is represented by blue dashed lines. Inset: schematic representations of the X-ray contrast achieved in both pure water and aqueous sucrose solutions. Panel (d) shows SAXS patterns obtained for a 1.0% w/w aqueous sucrose dispersion of framboidal G63H350B125 triblock copolymer vesicles. The solid black line is the fit obtained for the continuous core model, while the dashed red and blue lines are the fits obtained for a fully phase-separated three-layer model when using xsol parameters of 0.50 (red) and 0.34 (blue).

A similar approach to SAXS analysis has been undertaken in the present study. Accordingly, population 1 represents the vesicles and population 2 describes the globules within the vesicle membrane (see Fig. 2a, morphology 3 and ESI for the SAXS fitting model, eqn (S1)–(S10)). Population 1 of the proposed two-population model corresponds to the initial morphology 1 (smooth vesicles) and is thus appropriate for SAXS analysis of the G63H350 diblock copolymer precursor. Morphology 1 is well described by the vesicle model (population 1 in eqn (S1)), which produced a reasonably good fit to the SAXS pattern over six orders of magnitude of X-ray scattering intensity (Fig. 2b, Table S1, G63H350). The calculated vesicle radius, Rout, of 176 nm (Table S1) is consistent with both TEM observations (Fig. 1) and DLS data (Table 1). The mean vesicle diameter is estimated to be 350 nm by TEM analysis, while DLS studies indicate a mean hydrodynamic vesicle diameter (Dh) of 362 nm with a relatively low polydispersity index (PDI) of 0.08. The radius of gyration (Rg) of the G63 corona block was determined to be 2.1 nm from model fitting of the G63H350 SAXS pattern. This experimental value is comparable to a theoretical estimate: the projected contour length of a single GMA monomer is 0.255 nm (two carbon bonds in all-trans conformation), the total contour length of a G63 block, LPGMA = 63 × 0.255 nm = 16.07 nm and the Kuhn length of 1.53 nm, based on the literature value for poly(methyl methacrylate),30 result in an estimated Rg of (16.07 × 1.53/6)1/2, or 2.02 nm. The water volume fraction, xsol, in the membrane core is approximately 0.50 according to the SAXS data fit. The vesicle model (population 1) also produced a good fit to the experimental SAXS patterns corresponding to the triblock copolymer vesicles containing a relatively short PBzMA block corresponding to morphology 2 (Fig. 2b and Table S1, samples G63H350B25 and G63H350B50). This result is consistent with TEM observations (Fig. 1), which suggests that such copolymer compositions produce only surface-pitted vesicles that do not significantly affect their membrane structure. However, in order to produce satisfactory fits to SAXS patterns obtained for genuine framboidal vesicles prepared by targeting longer PBzMA blocks (e.g. G63H350Bz, z = 97–400) incorporation of population 2 (spherical micelles, which correspond to the micelle-like globules) into the model, eqn (S1), was essential (Fig. 2c, SAXS data corresponding to a continuous phase comprising pure water). A superposition of scattering signals from two populations (vesicles and spherical micelles) used in the model produces good fits to the SAXS data over a wide range of PBzMA block DPs (Fig. 2b and Table S1).

It is assumed that both the Rg of the PGMA block and the water content within the hydrophobic vesicles membrane do not change during the growth of the PBzMA block. Thus, the Rg and xsol values obtained for the G63H350 diblock precursor vesicles were used as fixed parameters for SAXS fitting of the final triblock copolymers. The same batch of PGMA macro-CTA was used for all copolymer syntheses described in this work, so the assumption of a fixed Rg for this block is perfectly reasonable. At first sight, it is questionable whether xsol should remain constant when growing a progressively longer PBzMA block. This is because PBzMA is significantly more hydrophobic than PHPMA, hence a gradual reduction in xsol with increasing PBzMA content might be expected. However, the developing framboidal character of the vesicle membrane necessarily leads to the incorporation of additional water molecules (see Fig. S3). We show below that this feature is sufficient to maintain a constant xsol, regardless of the PBzMA content of the copolymer. An xsol of 0.50 is obtained for the membrane-forming PHPMA block of the precursor G63H350 diblock copolymer vesicles. This value is consistent with recent work by Warren et al., who reported xsol values ranging from 0.38 to 0.66 for G55Hy vesicles when varying y from 200 to 1000, respectively.31 Assuming additivity, if the PBzMA component has a water content of zero then xsol might be expected to decrease from 0.50 for G63H350 diblock copolymer vesicles to 0.20 for G63H350B400 triblock copolymer vesicles (see Table S2). Using these xsol values as fitting parameters produces comparable results to those obtained when xsol is kept constant at 0.50 (see Tables S1 and S2). This suggests that the SAXS parameters are relatively insensitive to xsol. However, marginally better fits to the model, especially at high q, are obtained when xsol is taken to be 0.50, regardless of the copolymer composition. This is most likely because, for population 1 of the SAXS model, it is assumed that water is distributed evenly within the hydrophobic component of the vesicle membrane (see Fig. S3).

It is true that the overall volume fraction of water associated with the hydrophobic block(s) is reduced as the diblock copolymer precursor is chain-extended with BzMA. However, the local increase in curvature caused by the growth of the pseudo-spherical globules actually leads to a higher volume fraction of water becoming associated with the membrane as a whole (see yellow regions in Fig. S3). This water volume fraction (or xsol) can be estimated geometrically by calculating the free volume associated with a sphere of radius 0.5a placed within a cube of length a:

image file: c5sc02346g-t1.tif

SAXS analysis shows that the thickness of the hydrophobic component of the vesicle membrane (Tmc) increases on targeting higher DPs for the PBzMA block (Table S1 and Fig. 3). However, the overall vesicle dimensions remain virtually constant over all copolymer compositions (Rout ∼ 174 nm, Table S1), which is consistent with our TEM observations (Fig. 1) and DLS studies (Table 1). Taken together, these data suggest that the vesicle growth mechanism leads to a gradual reduction in the volume of the vesicle lumen, as reported recently by Warren and co-workers for non-framboidal G55Hy vesicles, where y ranges from 200 to 2000.32 The nanoscale phase separation that occurs within the vesicle membrane described by the spherical micelle model (population 2) can also be identified from SAXS analysis.


image file: c5sc02346g-f3.tif
Fig. 3 Variation in mean micelle/globule diameter and vesicle wall thickness (Tmc) with degree of polymerization (z) for G63H350Bz triblock copolymer vesicles obtained from SAXS (image file: c5sc02346g-u1.tif, image file: c5sc02346g-u2.tif) and TEM (image file: c5sc02346g-u3.tif) data. [N.B. no mean globule diameters can be determined for z = 0, 25 and 50 because these vesicles do not exhibit framboidal character.]

Both the spherical micelle radius (Rs) and the relative concentration of the second population (c2/c1) increase at a higher PBzMA block volume fraction, VPBzMA (Table S1). Moreover, the Rs values are consistent with those estimated from TEM images (Fig. 3). TEM studies suggest that the mean micelle/globule diameter (2Rs) for the framboidal G63H350Bz vesicles increases from 34 nm to 76 nm as z is increased from 97 to 400. Similarly, SAXS analyses indicate that 2Rs increases from 36 nm to 85 nm for the same set of samples. However, it is worth emphasizing that only a few hundred globules were analyzed by TEM, whereas the SAXS data are averaged over many millions of globules, which ensures far more robust statistics. Some difference between micelle/globule diameters measured by TEM and SAXS is likely because SAXS interrogates partially hydrated globules in aqueous solution. In contrast, TEM is performed on dehydrated globules under ultrahigh vacuum conditions, which accounts for the marginally smaller dimensions in this case. Moreover, SAXS reports a volume-average diameter whereas TEM provides a number-average diameter, hence the former technique always oversizes relative to the latter.

The proposed structural model (Fig. 2a) does not account for the nanoscale phase separation between the PHPMA and PBzMA blocks which might be expected to occur during PBzMA growth (see Fig. 1). However, the difference between the scattering length densities of the copolymer components (ξPGMA, ξPHPMA and ξPBzMA) and water (ξH2O) significantly exceeds the difference between the scattering length densities of the copolymer components alone (see ESI for full details of the structural models used in the SAXS analysis). Thus SAXS is simply not sufficiently sensitive to confirm the phase separation between the PHPMA and PBzMA blocks that is responsible for the evolution in morphology from smooth vesicles to framboidal vesicles during the PISA synthesis. Thus, in order to scrutinize the anticipated phase separation between the PHPMA and PBzMA blocks, a contrast variation technique was employed in this study. Accordingly, the vesicle dispersions were prepared using a 40% w/w aqueous sucrose solution instead of water.

This solution is a good solvent for the PGMA stabilizer block and has a scattering length density of ξH2O+sucrose = 10.88 × 1010 cm−2, which lies between ξPHPMA and ξPBzMA (see ESI). This contrast variation approach significantly reduces the scattering length density difference between the copolymer components and the continuous phase and consequently increases the sensitivity of SAXS towards the structural changes occurring within the vesicle membrane. It is emphasized that the PGMA stabilizer block has the highest scattering length density and hence produces a significant contribution to the scattering signal. Thus in principle contrast-matching the corona block (ξPGMA = 11.94 × 1010 cm−2) to the solvent would be informative, but unfortunately this was not possible because of the limited solubility of sucrose in water.

The contrast-matched copolymer dispersions were prepared in two steps: (1) preparation of a 44% w/w aqueous sucrose stock solution followed by (2) dilution of the copolymer dispersion prepared in pure water from 10% w/w to 1% w/w solids using this aqueous sucrose solution. The fitting parameters obtained for the purely aqueous dispersions were also used for SAXS analysis of the aqueous sucrose dispersions, while the solvent scattering length density used in the model was changed from that of water to that for 40% w/w aqueous sucrose solution. Assuming that the vesicle morphology and the copolymer concentration remain unchanged in the aqueous sucrose dispersion, only six parameters are required for the SAXS fitting: the membrane thickness corresponding to the parameters used for population 1, the spherical micelle radius corresponding to population 2, their corresponding standard deviations and relative concentrations of both populations. For each sample, the concentration ratio, c2/c1, was kept constant during the fitting at the same value obtained for the dispersions in pure water (Table S1). This relatively constrained model produced satisfactory data fits for the SAXS patterns of the aqueous sucrose dispersions (see Fig. 2c, S4 and Table S1). A significant inconsistency is only observed for the triblock copolymer prepared with the longest PBzMA block (Fig. S4, see G63H350B400). In this case, including additional fitting parameters in the model associated with the spherical micelle packing (RPY and FPY) and removing the c2/c1 ratio constraint produced a better data fit (Fig. S4, solid red line). This latter fit indicated a significantly higher relative concentration for the second population (see the last entry in Table S1). This suggests that these nano-objects are best described as strongly interacting (i.e. aggregated) spherical micelles, with little or no vesicular character. In general, SAXS analysis of this series of vesicles dispersed in aqueous sucrose solution demonstrates that both the vesicle membrane thickness and the mean micelle radius are slightly reduced relative to the corresponding values determined for the same vesicles dispersed in pure water. The lower degree of solvent plasticization results in a 15 % reduction in the membrane volume (see Table S1). Presumably, this is simply because aqueous sucrose is a poorer solvent for the two blocks located in the membrane than water alone. Unfortunately, the relatively weak scattering from the aqueous sucrose dispersions means that SAXS pattern fits involving the other model parameters, including xsol, are considered unreliable. Nevertheless, the original SAXS model used for analysis of vesicle dispersions in pure water (Fig. 2a) was consistent with the SAXS patterns recorded for dispersions in aqueous sucrose solution.

In order to probe the nanoscale phase separation between the PHPMA and PBzMA blocks within the vesicle membrane, a more sophisticated two-population model composed of vesicles with a three-layer hydrophobic membrane and spherical core–shell–corona micelles was developed (see Fig. S5, eqn (S1) and (S11)–(S17)). In this model, it is assumed that the PBzMA block occupies the central layer of the membrane. In principle, vesicles with the mean scattering length density of the hydrophobic component of the membrane that is closest to that of the aqueous sucrose solution (Table S1, see G63H350B125 and G63H350B169) should be most sensitive to nanoscale phase separation. If there is a homogeneous distribution of PHPMA and PBzMA blocks within the membrane (continuous core model, see Fig. 2a), then the hydrophobic component of the membrane should barely contribute to the X-ray scattering as the difference between ξmc and ξH2O+sucrose is almost zero. Alternatively, if there is nanoscale phase separation between the PHPMA and PBzMA blocks (three-layer model, see Fig. S5) the hydrophobic component of the membrane should produce a strong contribution to the scattering signal because of the significant difference between ξPHPMA and ξH2O+sucrose and between ξH2O+sucrose and ξPBzMA. Given that phase separation between the PHPMA and PBzMA blocks should cause a redistribution of solvent concentration within the vesicle membrane, two scenarios for the sophisticated two-population model (eqn (S1), (S11) and (S14)) were considered. As for the SAXS analyses summarized in Table S1, in one scenario it is assumed that the solvent fraction in the PBzMA layer and two PHPMA layers of the membrane are equal (i.e., xPBzMAsol = xPHPMAsol = 0.50). In an alternative scenario associated with Table S2, it is assumed that xPBzMAsol = 0 and xPHPMAsol = 0.50. Comparison of SAXS patterns calculated for the continuous core (single-layer) model and these two more sophisticated three-layer models indicates that the continuous core model is actually more consistent with the experimental data (Fig. 2d).

To summarize the vesicle morphology studies, as the G63H350 diblock precursor is chain-extended with progressively longer PBzMA blocks, the overall vesicle diameter remains essentially constant (as indicated by DLS, TEM and SAXS) but the vesicle membrane thickness (as calculated by SAXS) increases. As a result, the vesicle lumen volume is gradually reduced on increasing the DP of the PBzMA. Finally, SAXS can be used to quantify the evolution in surface roughness indicated for these framboidal vesicles on the basis of TEM studies (see Fig. 1). For G63H350Bz triblock copolymer vesicles, both SAXS and TEM studies indicate that well-defined globules are only formed when z > 97 and the mean globule diameter increases monotonically from 36 nm (z = 97) to 85 nm (z = 400). However, a contrast variation approach used for SAXS analysis provides no evidence for the anticipated nanoscale phase separation between the hydrophobic PHPMA and PBzMA blocks within the membrane. This suggests that the PHPMA and PBzMA blocks may only be weakly segregated within the vesicle membrane, rather than strongly segregated (see Fig. 2d).

Pickering emulsion studies

Framboidal G63H350B200 triblock copolymer vesicles (an intermediate PBzMA block length) and linear G63H350 diblock copolymer vesicles were each evaluated as putative Pickering emulsifiers for the stabilization of n-dodecane emulsion droplets in water. Aqueous vesicle dispersions (0.5% to 3.0% w/w) were homogenized with an equal volume of n-dodecane at 12[thin space (1/6-em)]000 rpm for two minutes at 20 °C to produce Pickering emulsions. The concentration dependence of the mean droplet diameter of the resulting emulsions was determined by laser diffraction and optical microscopy (see Fig. 4). Increasing the concentration of linear G63H350 vesicles led to a constant mean droplet diameter of ∼70 μm. This suggests that the linear G63H350 vesicles do not withstand the high shear conditions required for emulsion preparation, and instead dissociate to produce individual copolymer chains, as previously reported by Thompson et al.13,33 In contrast, the mean emulsion droplet diameter prepared using the G63H350B200 triblock copolymer vesicles increases from 55 μm up to 412 μm over the same concentration range.
image file: c5sc02346g-f4.tif
Fig. 4 Volume-average diameter (determined for n-dodecane droplets by laser diffraction) vs. copolymer concentration for (image file: c5sc02346g-u4.tif) linear G63H350 diblock copolymer vesicles and (image file: c5sc02346g-u5.tif) framboidal G63H350B200 triblock copolymer vesicles. Inset shows representative optical microscopy images for selected emulsions prepared at the stated copolymer concentrations. The scale bars are valid for all six images.

Similar concentration-dependent droplet diameters were observed for other G63H350Bz copolymer vesicles. These observations suggest that the G63H350Bz triblock copolymer vesicles survive high shear homogenization and consequently adsorb as intact triblock copolymer vesicles to produce genuine Pickering emulsions.

Remarkably, only a relatively short PBzMA block is required to stabilize the vesicles during homogenization; presumably, the highly hydrophobic nature of this third block is sufficient to prevent vesicle dissociation. TEM (see Fig. 5a) and SEM studies (Fig. S6) of the latter emulsions confirm that intact framboidal vesicles indeed act as Pickering emulsifiers. Hence the observed concentration dependence for the droplet diameter is readily explained: higher vesicle concentrations are required for stabilization of smaller oil droplets because of the concomitant increase in total surface area.


image file: c5sc02346g-f5.tif
Fig. 5 (a) TEM images obtained for Pickering emulsions of n-hexane stabilized by aqueous vesicle dispersions of G63H350B25 and G63H350B400 triblock copolymer vesicles. (b) Plot of Aeffvs. PBzMA DP in a series of G63H350Bz triblock copolymer vesicles (0.20 mM) with increasing surface roughness.

The Pickering emulsifier adsorption efficiency, Aeff, was determined by turbidimetry experiments, as described by Thompson et al.13 First, scattering curves were recorded and calibration plots were constructed for each triblock copolymer vesicle evaluated (see Fig. S7). The scattering intensity increased monotonically as the PBzMA DP is increased in the G63H350Bz triblock copolymer series, because of the significantly higher refractive index of this aromatic block. The Pickering emulsions proved to be highly stable towards coalescence, but creaming of the lower density droplet phase occurred on standing for 24 h at 20 °C. The turbidity of this lower aqueous phase was analyzed by visible absorption spectroscopy to determine the amount of vesicles remaining in the aqueous solution and hence the adsorbed amount by difference (see Table S3). To confirm the validity of this turbidimetric assay, the vesicles were also sized by DLS before and after homogenization in order to ensure that no size fractionation occurred during vesicle adsorption at the oil/water interface.

At a copolymer concentration of 0.20 mM, the Aeff increased from 36% up to 94% on increasing the PBzMA DPs from 25 to 125 (see Fig. 5b). For PBzMA DPs greater than 125, the Aeff is progressively reduced, resulting in an Aeff of 85% at a mean DP of 400 (see Fig. 5b). These observations are similar to those reported by San-Miguel and Behrens,15 who observed that both the nanoparticle wettability and emulsion stability attained maximum values at the same root-mean-squared (rms) surface roughness. However, the latter parameter was calculated indirectly from AFM measurements performed on a planar surface that had been subjected to the same coating conditions as the spherical microparticles. Nevertheless, it was suggested that wetting of microparticles with up to 6 nm rms roughness occurred within the Wenzel regime,34 whereas the roughest microparticles (rms roughness = 7.5 nm) corresponded to the Cassie–Baxter regime.35 The former regime led to optimal Pickering emulsifier performance.

In the present study, the model framboidal vesicles exhibit substantially enhanced Aeff values compared to non-framboidal G58H350E20 cross-linked vesicles, for which a Aeff of 67% has been reported for a similar copolymer concentration.13 Presumably, the much higher surface roughness of the former nanoparticles (mean globule diameter ∼ 45 nm) is responsible for this observation. This is significantly different to the critical length scale reported by San-Miguel and Behrens.15 However, it seems likely that other parameters, e.g. charge vs. steric stabilization or differences in copolymer composition, also influence the particle contact angle (and hence surface wettability).

Conclusions

G63H350 diblock copolymer precursor vesicles were chain-extended with BzMA via seeded RAFT emulsion polymerization at 70 °C to prepare a series of framboidal G63H350Bz triblock copolymer vesicles (where z ranged from 25 to 400). TEM images reveal that the vesicle surface becomes increasingly pitted and rough until individual PBzMA globules can be observed protruding from the membrane. As higher PBzMA DPs are targeted, these globules gradually increase in size and become more prominent. SAXS provides a more in-depth analysis of surface roughness compared to TEM. Both SAXS and TEM studies confirm that topologically smooth vesicles are obtained prior to chain extension with BzMA, after which the vesicles acquire framboidal character (and hence surface roughness) depending on the DP of the PBzMA. A two-population SAXS model has been developed in order to characterize the globules protruding from the vesicle membrane. The mean globule diameter increases monotonically from 36 nm to 85 nm when the diblock copolymer precursor is chain-extended with 97–400 units of BzMA. Unlike the G63H350 diblock copolymer precursor vesicles, the framboidal triblock copolymer vesicles survive high shear homogenization conditions and can therefore act as Pickering emulsifiers for the stabilization of n-dodecane droplets. Turbidimetry data support the literature hypothesis that greater surface roughness does indeed promote higher Pickering emulsifier adsorption efficiencies. More specifically, framboidal vesicles with mean globule dimensions of 45 nm exhibit a Aeff of up to 94%. PISA represents a highly convenient and versatile synthetic route to colloidal particles of exquisitely tunable surface roughness. Such nanoparticles may also be of interest for other fundamental scientific studies, such as the effect of surface topology on cell uptake kinetics.36

Experimental

Materials and methods

Materials. All reagents were used as received unless otherwise stated. Benzyl methacrylate (BzMA), n-dodecane and 4,4′-azobis-4-cyanopentanoic acid (ACVA) were purchased from Sigma-Aldrich (UK). BzMA inhibitor was removed by passing this monomer through an inhibitor removal column. Ethanol, dichloromethane, DMSO and DMF were purchased from Fisher Scientific (UK). Glycerol monomethacrylate (GMA) was kindly donated by GEO Specialty Chemicals (Hythe) and used without further purification. 2-Hydroxypropyl methacrylate (HPMA) was purchased from Alfa Aesar (UK) and contained 0.07 mol% dimethacrylate impurity, as judged by high performance liquid chromatography (HPLC). CD3OD and d6-DMSO NMR solvents were purchased from Goss Scientific (UK). 4-Cyano-4-(2-phenylethanesulfanylthiocarbonyl)sulfanyl-pentanoic acid (PETTC) was synthesized in-house.37 Deionized water was obtained using an Elga Elgastat Option 3A water purifier; its pH was approximately 6.2 and its surface tension was 72.0 mN m−1 at 20 °C.
RAFT synthesis of PGMA macro-CTA agent in ethanol. A round-bottomed flask was charged with GMA (30.0 g; 187 mmol), PETTC (1.01 g; 2.97 mmol), ACVA (167 mg, 0.156 mmol) and ethanol (39.5 g). The sealed reaction vessel was purged with N2 for 30 min and placed in a pre-heated oil bath at 70 °C for 135 min. The resulting PGMA macro-CTA (GMA conversion = 87%; Mn = 17[thin space (1/6-em)]600 g mol−1, Mw/Mn = 1.16) was purified by precipitation into excess dichloromethane. A mean DP of 63 was calculated for this macro-CTA using 1H NMR spectroscopy by comparison of the integral from 3.4 ppm to 4.3 ppm due to five protons from the PGMA with that of the peaks around 7 ppm due to the five aromatic protons from the RAFT CTA (see Fig. S2).
Preparation of linear PGMA–PHPMA diblock copolymer precursor vesicles via RAFT aqueous dispersion polymerization at 15% w/w solids. PGMA63 macro-CTA (5.00 g, 0.485 mmol), HPMA monomer (24.5 g, 170 mmol) and deionized water (167 g, purged with N2 for 30 min) were weighed into a 250 mL round-bottomed flask and purged with N2 for 20 min. ACVA was added (68.9 mg, 0.242 mmol, CTA/ACVA molar ratio = 2.0) and purged with N2 for a further 10 min prior to immersion in an oil bath set at 70 °C for 2 h. Finally, the polymerization was quenched by cooling to room temperature with subsequent exposure to air.
Preparation of PGMA–PHPMA–PBzMA triblock copolymer vesicles via RAFT seeded emulsion polymerization at 10–19% w/w solids. PGMA63–PHPMA350 diblock precursor vesicles (15.0 mL of a 10% w/w copolymer dispersion, 1.50 g copolymer, 0.0247 mmol), ACVA (1.38 mg, 0.00494 mmol, CTA/ACVA molar ratio = 5.0) and BzMA monomer (0. 109 g, 0.617 mmol, target DP = 25) were weighed into a 40 mL sample vial and purged with N2 for 20 min prior to immersion in an oil bath set at 70 °C for 4 h. Then the polymerization was quenched by cooling to room temperature and subsequent exposure to air. A series of similar copolymer syntheses were performed for which the PBzMA target DP ranged from 50 to 400 using BzMA masses varying from 0.218 g to 1.74 g (1.23 mmol to 9.87 mmol), respectively.
Pickering emulsion formation. n-Dodecane (2.0 mL) was homogenized with 2.0 mL of a 0.5–3.0% w/v aqueous vesicle dispersion for 2 min using a IKA Ultra-Turrax T-18 homogenizer with a 10 mm dispersing tool operating at 12[thin space (1/6-em)]000 rpm. The droplets were imaged by OM and the mean droplet diameter was assessed by laser diffraction.
Turbidimetry experiments. Pickering emulsions were allowed to cream overnight before an appropriate amount of the aqueous phase was extracted and diluted ten-fold, before measuring the absorbance from 400 to 800 nm using visible absorption spectroscopy. Calibration plots were constructed for each vesicle dispersion by recording the absorbance at 750 nm of the vesicle dispersions, varying the copolymer concentration from 0.00625 to 0.1% w/w.

Characterization

1H NMR spectroscopy. All NMR spectra were recorded using a 400 MHz Bruker Avance-400 spectrometer and 64 scans were averaged per spectrum. The mean DP of the PBzMA block was calculated as described previously by Chambon et al.24
Gel permeation chromatography (GPC). Copolymer molecular weights and polydispersities were determined using a DMF GPC set-up operating at 60 °C and comprising two Polymer Laboratories PL gel 5 μm Mixed C columns connected in series to a Varian 390 LC multi-detector suite (only the refractive index detector was utilized) and a Varian 290 LC pump injection module. The GPC eluent was HPLC grade DMF containing 10 mM LiBr at a flow rate of 1.0 mL min−1. DMSO was used as a flow-rate marker. Calibration was conducted using a series of ten near-monodisperse poly(methyl methacrylate) standards (Mn = 625–618[thin space (1/6-em)]000 g mol−1). The chromatograms were analyzed using Varian Cirrus GPC software (version 3.3) provided by the instrument manufacturer (Polymer Laboratories).
Dynamic light scattering (DLS). Intensity-average hydrodynamic diameters of the copolymer dispersions were determined using a Malvern Zetasizer NanoZS instrument. Dilute aqueous dispersions (0.10% w/w) were analyzed using disposable cuvettes and all data were averaged over three consecutive runs to give the hydrodynamic diameter (Dh).
Transmission electron microscopy (TEM). Aggregate solutions were diluted fifty-fold at 20 °C to generate 0.10% w/w dispersions. Copper/palladium TEM grids (Agar Scientific) were surface-coated in-house to yield a thin film of amorphous carbon. The grids were then plasma glow-discharged for 30 s to create a hydrophilic surface. Individual samples (0.1% w/w, 12 μL) were adsorbed onto the freshly glow-discharged grids for 1 min and then blotted with filter paper to remove excess solution. To stain the aggregates, uranyl formate (0.75% w/v) solution (9 μL) was soaked on the sample-loaded grid for 20 s and then carefully blotted to remove excess stain. The grids were then dried using a vacuum hose. Imaging was performed on a Phillips CM100 instrument at 100 kV, equipped with a Gatan 1k CCD camera.
Small-angle X-ray scattering (SAXS). SAXS patterns were recorded at two synchrotron sources (ESRF, station ID02, Grenoble, France and Diamond Light Source, station I22, Didcot, UK). A monochromatic X-ray radiation (wavelength λ = 0.995 Å and 1.001 Å, respectively) and 2D SAXS detectors (FReLoN Kodak CCD and Pilatus 2M, respectively) were used for these experiments. The SAXS camera length set-ups covered the q range from 0.0009 Å−1 to 0.004 Å−1 (ESRF) and from 0.002 Å−1 to 0.19 Å−1 (Diamond), where image file: c5sc02346g-t2.tif is the modulus of the scattering vector and θ is one-half of the scattering angle. Either a 2.0 mm diameter glass capillary (ESRF) or a liquid cell composed of two mica windows (each of 25 μm thickness) separated by a polytetrafluoroethylene spacer of 1 mm thickness (Diamond) were used as sample holders, respectively. X-ray scattering data were reduced by Nika SAS data reduction macros for Igor Pro (integration, normalization, background subtraction) and were further analyzed using Irena SAS macros for Igor Pro. SAXS measurements were conducted on G63H350Bz (z = 0–400, see Table S1) dispersions either in water (ESRF and Diamond) or in a 40% w/w aqueous sucrose solution (Diamond). The copolymer concentration was diluted from 10% w/w (as-synthesized) to 1.0% w/w for data collection.
Visible absorption spectroscopy. Turbidities of both the initial vesicle dispersions and also the underlying aqueous phase of the corresponding creamed emulsions after homogenization with n-dodecane were assessed by visible absorption spectrophotometry (Perkin-Elmer Lambda 25 instrument) between 400 and 800 nm at a scan speed of 960 nm min−1.
Optical microscopy (OM). Optical microscopy images were recorded using a Motic DMBA300 digital biological microscope with a built-in camera and equipped with Motic Images Plus 2.0 ML software.
Laser diffraction. A Malvern Mastersizer 2000 instrument equipped with a small volume Hydro 2000SM sample dispersion unit (ca. 50 mL), a He–Ne laser operating at 633 nm, and a solid-state blue laser operating at 466 nm was used to size each emulsion. The stirring rate was adjusted to 1000 rpm in order to avoid creaming of the emulsion during analysis. After each measurement, the cell was rinsed once with ethanol, followed by three rinses with doubly-distilled water; the glass walls of the cell were carefully wiped with lens cleaning tissue to avoid cross-contamination and the laser was aligned centrally to the detector prior to data acquisition. The volume-average diameter was measured and repeated four times for each emulsion.

Acknowledgements

Christopher Hill and Svetomir Tzokov at the University of Sheffield Biomedical Science Electron Microscopy Suite. The authors are grateful to ESRF (France) and Light Source Diamond (U.K.) for providing SAXS beamtime. The personnel of ID02 station at ESRF and I22 station at Diamond Light Source are thanked for their help with the SAXS experiments. Dr Andrew J. Morse is thanked for SEM images. SPA thanks the European Research Council for an ERC Advanced Investigator grant (PISA 320372) to support CJM, OOM, NJW and KLT and also EPSRC for a Platform grant (EP/J007846J007846/11) to support OOM, KLT and NJW.

References

  1. S. U. Pickering, J. Chem. Soc., 1907, 91, 2001–2021 RSC .
  2. B. P. Binks, Curr. Opin. Colloid Interface Sci., 2002, 7, 21–41 CrossRef CAS .
  3. Z. Mao, H. Xu and D. Wang, Adv. Funct. Mater., 2010, 20, 1053–1074 CrossRef CAS PubMed .
  4. B. P. Binks and S. O. Lumsdon, Phys. Chem. Chem. Phys., 1999, 1, 3007–3016 RSC .
  5. S. Levine, B. D. Bowen and S. J. Partridge, Colloids Surf., 1989, 38, 325–343 CrossRef CAS .
  6. B. P. Binks and S. O. Lumsdon, Langmuir, 2001, 17, 4540–4547 CrossRef CAS .
  7. K. L. Thompson, S. P. Armes, J. R. Howse, S. Ebbens, I. Ahmad, J. H. Zaidi, D. W. York and J. A. Burdis, Macromolecules, 2010, 43, 10466–10474 CrossRef CAS .
  8. K. L. Thompson, S. P. Armes, D. W. York and J. A. Burdis, Macromolecules, 2010, 43, 2169–2177 CrossRef CAS .
  9. A. Walsh, K. L. Thompson, S. P. Armes and D. W. York, Langmuir, 2010, 26, 18039–18048 CrossRef CAS PubMed .
  10. Y. Cui, M. Threlfall and J. S. van Duijneveldt, J. Colloid Interface Sci., 2011, 356, 665–671 CrossRef CAS PubMed .
  11. J. Chiefari, Y. K. Chong, F. Ercole, J. Krstina, J. Jeffery, T. P. T. Le, R. T. A. Mayadunne, G. F. Meijs, C. L. Moad, G. Moad, E. Rizzardo and S. H. Thang, Macromolecules, 1998, 31, 5559–5562 CrossRef CAS .
  12. W. Zhang, F. D'Agosto, P.-Y. Dugas, J. Rieger and B. Charleux, Polymer, 2013, 54, 2011–2019 CrossRef CAS PubMed .
  13. K. L. Thompson, P. Chambon, R. Verber and S. P. Armes, J. Am. Chem. Soc., 2012, 134, 12450–12453 CrossRef CAS PubMed .
  14. Z. Wang, M. C. M. van Oers, F. P. J. T. Rutjes and J. C. M. van Hest, Angew. Chem., Int. Ed., 2012, 51, 10746–10750 CrossRef CAS PubMed .
  15. A. San-Miguel and S. H. Behrens, Langmuir, 2012, 28, 12038–12043 CrossRef CAS PubMed .
  16. R. Van Hooghten, L. Imperiali, V. Boeckx, R. Sharma and J. Vermant, Soft Matter, 2013, 9, 10791–10798 RSC .
  17. Y. Li and S. P. Armes, Angew. Chem., Int. Ed., 2010, 49, 4042–4046 CrossRef CAS PubMed .
  18. B. Charleux, G. Delaittre, J. Rieger and F. D'Agosto, Macromolecules, 2012, 45, 6753–6765 CrossRef CAS .
  19. Z. An, Q. Shi, W. Tang, C.-K. Tsung, C. J. Hawker and G. D. Stucky, J. Am. Chem. Soc., 2007, 129, 14493–14499 CrossRef CAS PubMed .
  20. G. Delaittre, M. Save and B. Charleux, Macromol. Rapid Commun., 2007, 28, 1528–1533 CrossRef CAS PubMed .
  21. J. Rieger, C. Grazon, B. Charleux, D. Alaimo and C. Jérôme, J. Polym. Sci., Part A: Polym. Chem., 2009, 47, 2373–2390 CrossRef CAS PubMed .
  22. A. Blanazs, A. J. Ryan and S. P. Armes, Macromolecules, 2012, 45, 5099–5107 CrossRef CAS .
  23. A. Blanazs, J. Madsen, G. Battaglia, A. J. Ryan and S. P. Armes, J. Am. Chem. Soc., 2011, 133, 16581–16587 CrossRef CAS PubMed .
  24. P. Chambon, A. Blanazs, G. Battaglia and S. P. Armes, Macromolecules, 2012, 45, 5081–5090 CrossRef CAS .
  25. L. Houillot, C. Bui, M. Save, B. Charleux, C. Farcet, C. Moire, J.-A. Raust and I. Rodriguez, Macromolecules, 2007, 40, 6500–6509 CrossRef CAS .
  26. J. A. Balmer, O. O. Mykhaylyk, A. Schmid, S. P. Armes, J. P. A. Fairclough and A. J. Ryan, Langmuir, 2011, 27, 8075–8089 CrossRef CAS PubMed .
  27. J. A. Balmer, O. O. Mykhaylyk, J. P. A. Fairclough, A. J. Ryan, S. P. Armes, M. W. Murray, K. A. Murray and N. S. J. Williams, J. Am. Chem. Soc., 2010, 132, 2166–2168 CrossRef CAS PubMed .
  28. L. A. Fielding, O. O. Mykhaylyk, S. P. Armes, P. W. Fowler, V. Mittal and S. Fitzpatrick, Langmuir, 2012, 28, 2536–2544 CrossRef CAS PubMed .
  29. L. A. Fielding, O. O. Mykhaylyk, A. Schmid, D. Pontoni, S. P. Armes and P. W. Fowler, Chem. Mater., 2014, 26, 1270–1277 CrossRef CAS .
  30. L. J. Fetters, D. J. Lohse and R. H. Colby, in Physical Properties of Polymers Handbook, ed. J. Mark, Springer, New York, 2007, pp. 447–454 Search PubMed .
  31. N. J. Warren, O. O. Mykhaylyk, A. J. Ryan, M. Williams, T. Doussineau, P. Dugourd, R. Antoine, G. Portale and S. P. Armes, J. Am. Chem. Soc., 2015, 137, 1929–1937 CrossRef CAS PubMed .
  32. N. J. Warren, O. O. Mykhaylyk, A. J. Ryan, M. Williams, T. Doussineau, P. Dugourd, R. Antoine, G. Portale and S. P. Armes, J. Am. Chem. Soc., 2015, 137, 1929–1937 CrossRef CAS PubMed .
  33. K. L. Thompson, C. J. Mable, A. Cockram, N. J. Warren, V. J. Cunningham, E. R. Jones, R. Verber and S. P. Armes, Soft Matter, 2014, 10, 8615–8626 RSC .
  34. R. N. Wenzel, Ind. Eng. Chem., 1936, 28, 988–994 CrossRef CAS .
  35. A. B. D. Cassie and S. Baxter, Trans. Faraday Soc., 1944, 40, 546–551 RSC .
  36. I. Canton and G. Battaglia, Chem. Soc. Rev., 2012, 41, 2718–2739 RSC .
  37. E. R. Jones, M. Semsarilar, A. Blanazs and S. P. Armes, Macromolecules, 2012, 45, 5091–5098 CrossRef CAS .

Footnote

Electronic supplementary information (ESI) available: Details of the structural model used for SAXS analysis, DMF GPC traces, assigned 1H NMR spectra, SAXS data and fittings in aqueous sucrose solution, schematic for three-layer model for SAXS analysis, SEM images of Pickering emulsions, visible absorption spectra and calibration plots for G63H350Bz vesicles and two tables summarizing SAXS fitting parameters. See DOI: 10.1039/c5sc02346g

This journal is © The Royal Society of Chemistry 2015
Click here to see how this site uses Cookies. View our privacy policy here.