Control of the properties of nanoparticles (NPs), including size, is critical for their application in biomedicine and engineering. Polymeric NPs are commonly produced by nanoprecipitation, where a solvent containing a block copolymer is mixed rapidly with a nonsolvent, such as water. Empirical evidence suggests that the choice of solvent influences NP size; yet, the specific mechanism remains unclear. Here, we show that solvent controls NP size by limiting block copolymer assembly. In the initial stages of mixing, polymers assemble into dynamic aggregates that grow via polymer exchange. At later stages of mixing, further growth is prevented beyond a solvent-specific water fraction. Thus, the solvent sets NP size by controlling the extent of dynamic growth up to growth arrest. An a priori model based on spinodal decomposition corroborates our proposed mechanism, explaining how size scales with the solvent-dependent critical water fraction of growth arrest and enabling more efficient NP engineering.
Control of the properties of nanoparticles (NPs), including size, is critical for their application in biomedicine and engineering. Polymeric NPs are commonly produced by nanoprecipitation, where a solvent containing a block copolymer is mixed rapidly with a nonsolvent, such as water. Empirical evidence suggests that the choice of solvent influences NP size; yet, the specific mechanism remains unclear. Here, we show that solvent controls NP size by limiting block copolymer assembly. In the initial stages of mixing, polymers assemble into dynamic aggregates that grow via polymer exchange. At later stages of mixing, further growth is prevented beyond a solvent-specific water fraction. Thus, the solvent sets NP size by controlling the extent of dynamic growth up to growth arrest. An a priori model based on spinodal decomposition corroborates our proposed mechanism, explaining how size scales with the solvent-dependent critical water fraction of growth arrest and enabling more efficient NP engineering.
Polymeric nanoparticles (NPs) are increasingly
applied as colloidal
drug delivery systems and building blocks in advanced (bio)material
design.[1−6] Efficient translation of NPs and NP-based materials into clinical
and industrial products requires strict control over the physicochemical
properties of the engineered colloids, including NP size.[7−11] Nanoprecipitation is a robust method to produce NPs from amphiphilic
block copolymers.[12−14] In a typical nanoprecipitation, a solution containing
a water-miscible organic solvent and a block copolymer is mixed with
a nonsolvent (water). Mixing induces a rapid change in solvent composition
causing dynamic block copolymer aggregation as the solubility of the
hydrophobic block decreases. The aggregates grow and mature into kinetically
trapped (frozen) NPs with a hydrophobic core and a hydrophilic corona.
The NPs become frozen as the low solubility of individual block copolymer
chains (unimers) in the final mixture prevents further growth by unimer
exchange and the hydrophilic corona inhibits NP fusion.[15] Thus, nanoprecipitation is a kinetic process,
and NP size can be controlled by the mixing time scale, τmix.[16] The physicochemical properties
of the formed NPs can be further influenced by the block constituents,
block molecular weights, polymer concentrations, and the choice of
solvent.[17−20]Experimental evidence has highlighted that the solvent in
which
the precursor materials are dissolved affect NP size following nanoprecipitation.[20,21] Yet, there is no physical explanation for the specific role of the
solvent.[15] Solvent composition was shown
to regulate the shape and dynamics of aggregating block copolymers.[22−24] During nanoprecipitation of monolithic hydrophobic polymers, NP
size correlated to the Hansen solubility parameter (HSP) distance,
or solvent–water affinity, of the selected solvent.[25,26] Solvents with high water affinity and low viscosity improved solvent
diffusion into the aqueous phase, forming smaller NPs based on the
rapid rate of change in solvent quality, χ. For solid lipid
NPs, size increased with solvent viscosity.[27,28] However, for the nanoprecipitation of amphiphilic block copolymers
NP size does not scale with solvent–water affinity or solvent
viscosity.[21] Despite the importance of
the solvent in block copolymer nanoprecipitation, a physical relation
between solvent properties and NP size is lacking.The effect
of the mixing kinetics on block copolymer nanoprecipitation
has been described.[29] Pioneering work by
Prud’homme and co-workers demonstrated that the mixing time
scale, τmix, and polymer composition influence NP
size, dispersity, and corona density.[16,30−33] In these studies, flow-based mixing devices controlled τmix.[34] The assembly and growth of
block copolymers into NPs was modeled via Smoluchowski diffusion-limited
growth kinetics. Unimer exchange and aggregate fusion enabled growth
until a sufficient corona density was formed and the NPs became kinetically
trapped (frozen). τmix influenced NP size as the
rate of change in the solvent composition controlled the amount of
time for aggregate growth prior to NP freezing.[16,30,35,36] Evidence suggests
that under intermediate solvent quality conditions self-assembly of
block copolymers is preceded by liquid–liquid phase separation,
and the dimensions of the initial polymer-rich liquid droplets influence
the final aggregate size.[37−39] Drese and colleagues developed
a computational model of nanoprecipitation to predict NP size based
on τmix and a theoretical solvent with time-varying
quality, χ(t).[40,41] In their computational
model, an initial change in χ, upon mixing, induced spinodal
decomposition and unimer aggregation. These aggregates grew via Ostwald
ripening until they became kinetically trapped (frozen) at a critical
solvent quality, χc. Here, χc was
defined as a freezing point that prevented further unimer exchange
or aggregate fusion. Thus, NP size was controlled by the rate of change
in χ, governed by τmix, up to a critical set
point, χc. These studies suggest a combined effect
of mixing kinetics and solvent properties on NP size, but a relation
to a measurable parameter of the selected solvent has not been shown.Here, we investigate the specific role of the solvent on NP size
during nanoprecipiation of block copolymers. Experimentally, we observed
a significant influence of the choice of solvent on NP size. To explain
this, we hypothesized that the solvent defines a measurable critical
water fraction of growth arrest, ϕc, that is analogous
to χc, beyond which further NP growth is prevented.
Turbidity measurements confirmed that the block copolymer aggregates
formed frozen NPs at ϕc for all solvents tested.
NP size correlated to the measured ϕc and did not
correlate with the HSP distance or solvent viscosity. In addition,
the block copolymer assemblies were macroscopically dynamic below
ϕc, enabling aggregation and growth up to this critical
point. Thus, NP size was defined by the solvent choice and the mixing
kinetics as the extent of growth was controlled by the time needed
to reach the solvent-dependent ϕc. We observed a
scaling behavior for NP size as a function of mixing kinetics, when
NP size was scaled by the solvent-dependent ϕc. An a priori scaling model described the specific role of the
solvent based on spinodal decomposition, growth by unimer exchange,
and freezing of the NPs at the solvent-dependent point of growth arrest.
In this model, the solvent controls NP size by setting ϕc, and the mixing kinetics dictate the rate at which the system
reaches this freezing point. Our study offers fundamental insight
into the role of the solvent on NP size during nanoprecipitation,
and this understanding will enable more efficient engineering of this
important class of materials.
Materials and Methods
Materials
Chemical reagents and solvent were purchased
from Sigma-Aldrich or VWR and used as received unless otherwise noted.Poly(ethylene glycol)5kDa-block-poly(dl-lactide)20kDa (PEG-b-PLA), PEG5kDa-b-poly(lactide-co-glycolide)20kDa (PEG-b-PLGA),
and PEG5kDa-b-polycaprolactone20kDa (PEG-b-PCL) were purchased from Akina
PolySciTech (USA). Deionized water was generated with a Millipore
Milli-Q system and Biopak filter. All microfluidic components were
purchased from BGB Analytics unless stated otherwise.
Dynamic Light Scattering
The hydrodynamic diameter, Dh, and dispersity, Đ,
of the nanoparticles were measured via dynamic light scattering (DLS;
Malvern ZetaSizer Nano ZS). DLS measurements were collected in a polystyrene
semi-microcuvette (path length ∼10 mm) at a scattering angle
of 173° and at a temperature of 25 °C. Dh and Đ were taken as the respective z-average and the dispersity index of the NP intensity distribution.
Unless stated otherwise, the NP size reported corresponds to Dh and Đ which were calculated
from the average of three DLS measurements per sample.
Transmission Electron Microscopy (TEM)
TEM pictures
were taken of a FEI Morgagni 268 (Thermo Fisher) instrument at an
acceleration of 100 kV. Samples were prepared on a 200-mesh Formvar
and carbon-coated copper grids (Quantifoil Micro Tools GmbH) which
were glow-discharged with negative polarity for 30 s (EMITECH K100X;
Quorum Technologies). The treated grids were placed upside down for
2 min onto 50 μL of nanoparticle suspension to promote particle
adsorption on the grids. The residual liquid was subsequently blotted
away with filter paper, and the grid was negatively stained for 15
s with 2% w/v uranyl acetate aqueous solution by adopting the same
blotting procedure. The residual moisture present on the grid was
dried in air prior to imaging.
Batch Nanoprecipitation
Block copolymer solutions were
prepared by dissolving polymer (2.5–10 mg mL–1; PEG-b-PLA, PEG-b-PLGA, or PEG-b-PCL) in a water-miscible organic solvent (DMF, acetone,
acetonitrile, THF, or DMSO). Batch nanoprecipitation was performed
by adding the block copolymer solution dropwise (∼25 μL
per drop) to deionized water (10 mL) in a 20 mL scintillation vial
under vigorous stirring (650 rpm; Heidolph MR Hei-Tec; 15 mm Teflon-coated
stir bar). The solvent–water ratio, R, was
defined as . The batch nanoprecipitations were performed
with R = 0.005. The NP size (Dh) and dispersity (Đ) were measured
via DLS. All experiments were performed in triplicate.
Turbidity Measurements
The block copolymers were dissolved
in each of the water-miscible organic solvents (4 or 10 mg mL–1). The measurements were directly performed in disposable
Brand Micro Cuvettes. Deionized water was titrated sequentially to
increase the water fraction in the solution (volumetric fraction of
water; v/v) and pipetted for ∼3 s prior to starting the turbidity
measurement. The turbidity was measured on a PerkinElmer Lambda 35
UV–vis spectrophotometer (λabs = 500 nm).
Rayleigh scattering of the polymer aggregates should have occurred
when the objects were larger than λ/20 (∼25 nm).[42] The water fraction was increased in 0.02 steps
from 0.0 to 0.5 or until further changes in turbidity upon water addition
were negligible.To investigate the reversibility of block copolymer
assembly, an analogous procedure was used to reduce the water fraction.
The water fraction was decreased in 0.02 steps by sequentially adding
a solution of block copolymer dissolved in the related organic solvent
(4 or 10 mg mL–1). The measurement was performed
as described above where after each addition the suspension was mixed
for ∼3 s and solution turbidity was measured. The addition
of polymer solution was stopped when further changes in suspension
turbidity were negligible.During dynamic turbidity measurements,
the suspension turbidity
was monitored over time. Water or block copolymer solution was titrated
as mentioned above. Upon each stepwise change of water fraction the
suspension turbidity was monitored every second over 10–60
min until stabilization occurred.
Experimental Determination of ϕc
The
critical water fraction of growth arrest, ϕc, was
determined for each solvent–block copolymer pair from the respective
turbidity measurements. ϕc represented the water
fraction at which the turbidity plateaued after the turbidity maximum.
The value of ϕc was defined as the lowest concentration
of water at which the turbidity was ±20% of the final plateau
(last four points). DMSO did not have a turbidity maximum; therefore,
the threshold of deviation from the plateau was set to ±10%.
Coaxial Jet Mixer Nanprecipitation
The coaxial jet
mixer CJM was developed based on studies published previously by our
group.[14] The device consisted of two coaxial
tubes, through which the polymer solution (inner fused silica tube)
and water (outer PTFE tube) flowed. Flow was controlled with two CETONI
NeMESYS syringe pumps and the related software Qmix elements (CETONI
GmbH). The polymer solutions and water were injected with SETonic
gastight syringes with volumes ranging from 0.5 to 50 mL. Syringe
outlets were connected to PTFE tubes [outer diameter, OD: 1587 μm;
inner diameter, ID: 793 μm; Cole-Parmer, USA]. The tube connected
to the polymer solution syringe was further attached to a fused silica
capillary (OD: 363 μm, ID: 100 μm, length (L): 7 cm) through a PEEK union body. The water tube lead to a PEEK
Tee body that connected to the main PTFE main channel (OD: 1587 μm,
ID: 793 μm, L: 15 cm; Cole-Parmer, USA). This
main channel was manually aligned coaxial to the fused silica capillary.
As described in our previous work, the capillary alignment was the
most delicate step.[14] In the main channel
the two fluids were mixed and the formed NP suspension was collected
in glass vials. The Reynolds number, Re, was calculated
by estimating the velocities and characteristic lengths based on the
inner cross section of the outer PTFE tube.For the nanoprecipitation
experiments, 10 mg of polymer (PEG-b-PCL, PEG-b-PLA, or PEG-b-PLGA) was dissolved in
1 mL of solvent (DMF, acetone, acetonitrile, THF, or DMSO; Cpoly = 10 mg mL–1). Water
volumetric flow rates, Qwater, and the
polymer solution volumetric flow rates, Qpolymer solution, ranged from 16 to 35 mL min–1 and from 80 to
174 μL min–1, respectively. All flow-based
experiments were performed with an R = 0.005, which
was calculated as follows: . The flow rates corresponded to Re ranging from 428 to 937. The NP size and size distribution
were measured via DLS. Every condition was performed at least in triplicate
and NP size was given as mean ± standard error of the mean (SEM).
Results and Discussion
Solvent Choice Influences NP Size
In a typical nanoprecipitation,
an amphiphilic block copolymer—composed of a hydrophobic core-forming
block, e.g., poly(dl-lactide) (PLA), poly(lactide-co-glycolide) (PLGA), or polycaprolactone (PCL), and a hydrophilic
corona-forming block, e.g., poly(ethylene glycol) (PEG)—is
dissolved in a solvent, such as acetonitrile. The block copolymer
solution is mixed rapidly with water, a poor solvent for the core-forming
block (Figure a).
The transition from a favorable solvent to the nonfavorable solvent–water
blend is described by a change in solvent quality, χ, for the
hydrophobic block (Figure b).[43] This change in χ induces
block copolymer assembly into nanoscale objects that become kinetically
trapped (frozen) at a critical solvent quality, χc. Prior to χc the nanoscale objects can grow by
unimer exchange and aggregate fusion.[17,40] The rate of
change in χ depends on the time scale of mixing, τmix, and controls the extent of growth.[16] In this manner, nanoprecipitation transforms block copolymer
solutions into stable, core–shell NPs with kinetically controlled
size.[30,40]
Figure 1
Solvent choice controls NP size. (a) During
batch nanoprecipitation,
a NP precursor solution containing a block copolymer dissolved in
a water-miscible organic solvent is added dropwise to water under
vigorous stirring. Rapid mixing of the block copolymer solution with
water triggers polymer assembly and, ultimately, the formation of
kinetically trapped (frozen) NPs. (b) The polymer assembly process
proceeds in three steps: (1) Block copolymers are dissolved in a favorable
solvent. (2) Solvent mixing with water alters the local solvent quality, χ.
The change in χ triggers block copolymer assembly into dynamic
aggregates, which can grow via unimer exchange or aggregate fusion.
(3) A rise in water fraction increases the energy barrier for unimer
exchange and fusion. Growth arrest occurs at a critical solvent quality,
χc, forming kinetically trapped core–shell
NPs. (c) The size of PEG-b-PLA NPs following nanoprecipitation
with common solvents varied with the choice of solvent (5 mg mL–1 PEG-b-PLA; R =
0.005). NP size did not correlate with solvent viscosity (solvents
are plotted in order of increasing viscosity) or the Hansen solubility
parameter (HSP) distance, Ra (gray triangles), calculated
between the solvent and water (Supporting Information Section S2). Data are plotted as mean (black line) ± SD (colored
box) for three independent experiments (black circles).
Solvent choice controls NP size. (a) During
batch nanoprecipitation,
a NP precursor solution containing a block copolymer dissolved in
a water-miscible organic solvent is added dropwise to water under
vigorous stirring. Rapid mixing of the block copolymer solution with
water triggers polymer assembly and, ultimately, the formation of
kinetically trapped (frozen) NPs. (b) The polymer assembly process
proceeds in three steps: (1) Block copolymers are dissolved in a favorable
solvent. (2) Solvent mixing with water alters the local solvent quality, χ.
The change in χ triggers block copolymer assembly into dynamic
aggregates, which can grow via unimer exchange or aggregate fusion.
(3) A rise in water fraction increases the energy barrier for unimer
exchange and fusion. Growth arrest occurs at a critical solvent quality,
χc, forming kinetically trapped core–shell
NPs. (c) The size of PEG-b-PLA NPs following nanoprecipitation
with common solvents varied with the choice of solvent (5 mg mL–1 PEG-b-PLA; R =
0.005). NP size did not correlate with solvent viscosity (solvents
are plotted in order of increasing viscosity) or the Hansen solubility
parameter (HSP) distance, Ra (gray triangles), calculated
between the solvent and water (Supporting Information Section S2). Data are plotted as mean (black line) ± SD (colored
box) for three independent experiments (black circles).To investigate the specific influence of the selected
solvent on
NP size, solutions of poly(ethylene glycol)-block-polylactide (PEG-b-PLA) were prepared in different
water-miscible solvents. Core–shell NPs were produced from
each block copolymer solution via nanoprecipitation. We prepared dilute
solutions (Cpoly ≤ 10 mg mL–1) to limit the effect of polymer–polymer interactions
in the organic phase. At the end of nanoprecipitation ϕ >
0.99,
therefore, we assumed that the residual solvent fraction inside the
NPs was negligible (Supporting Information Section S1). Batch nanoprecipitation of PEG-b-PLA
formed spherical NPs with low dispersity in all solvents. Critically,
the size of the formed NPs varied with the selected solvent, Dh = 65–101 nm (Đ ≈ 0.1) (Figure c). Nanoprecipitation with dimethylformamide (DMF) produced the smallest
NPs, followed by acetone, acetonitrile, tetrahydrofuran (THF), and
dimethyl sulfoxide (DMSO). NP size did not correlate with the HSP
distance, Ra, or solvent viscosity (Supporting Information Section S2). This suggested that another
physical parameter may explain the influence of solvent on NP size.
Critical Water Fraction of Growth Arrest Dictates NP Size
We hypothesized that the choice of solvent defines a critical solvent–water
composition at which the NPs became kinetically trapped (frozen).
By setting a solvent-dependent freezing point, the solvent would influence
NP size by allowing for differential extents of growth for the same
mixing conditions.[40] To investigate whether
a freezing point existed for the different solvents, we systematically
increased the water fraction in the block copolymer solutions while
monitoring polymer assembly. Block copolymer assembly was characterized
by quantifying Rayleigh scattering (turbidity) of the solution as
a function of the water fraction (Figure a).[22,44]
Figure 2
NP size scales with the
solvent-dependent critical water fraction
of growth arrest, ϕc. (a) The turbidity of a PEG-b-PLA solution in acetonitrile was measured for 0.01 Δϕ
increments in water volume fraction, ϕ. The suspension turbidity
was negligible until ϕ ≈ 0.19, which marked the start
of observable nanoassembly formation. Past ϕ ≈ 0.19,
the turbidity varied with changes in ϕ, suggesting macroscopic
nanoassembly dynamics. At a specific point, the turbidity did not
change with further increases in ϕ. We defined this point as
the critical water fraction of growth arrest, ϕc.
(b) Turbidity curves for 10 mg mL–1 PEG-b-PLA solutions in different solvents (0.02 Δϕ
increments in water fraction) were used to calculate ϕc for each of the solvents tested: ϕc,DMF ≈
ϕc,acetone < ϕc,acetonitrile <
ϕc,THF < ϕc,DMSO. (c) NP size
following nanoprecipitation from 2.5, 5, and 10 mg mL–1 PEG-b-PLA for each of the solvents tested. Size
increased with the measured ϕc for the different
solvents. Data plotted as mean (black line) ± SD (colored boxes)
for three independent experiments (symbols: 2.5 mg mL–1, open circles; 5 mg mL–1, gray circles; 10 mg
mL–1, solid circles). (d) NP size following nanoprecipitation
from 5 mg mL–1 solutions of PEG-b-PLA (circles) in DMF, acetone, acetonitrile, THF, and DMSO correlated
to the measured ϕc. Similar trends were observed
for NPs formed from 10 mg mL–1 solutions of PEG-b-PLGA (triangles) and PEG-b-PCL (squares)
in acetone, DMF, and acetonitrile. Data plotted as mean ± SD
for three independent experiments. The x-error bars indicate the error
in the ϕc measurements (±0.02).
NP size scales with the
solvent-dependent critical water fraction
of growth arrest, ϕc. (a) The turbidity of a PEG-b-PLA solution in acetonitrile was measured for 0.01 Δϕ
increments in water volume fraction, ϕ. The suspension turbidity
was negligible until ϕ ≈ 0.19, which marked the start
of observable nanoassembly formation. Past ϕ ≈ 0.19,
the turbidity varied with changes in ϕ, suggesting macroscopic
nanoassembly dynamics. At a specific point, the turbidity did not
change with further increases in ϕ. We defined this point as
the critical water fraction of growth arrest, ϕc.
(b) Turbidity curves for 10 mg mL–1 PEG-b-PLA solutions in different solvents (0.02 Δϕ
increments in water fraction) were used to calculate ϕc for each of the solvents tested: ϕc,DMF ≈
ϕc,acetone < ϕc,acetonitrile <
ϕc,THF < ϕc,DMSO. (c) NP size
following nanoprecipitation from 2.5, 5, and 10 mg mL–1 PEG-b-PLA for each of the solvents tested. Size
increased with the measured ϕc for the different
solvents. Data plotted as mean (black line) ± SD (colored boxes)
for three independent experiments (symbols: 2.5 mg mL–1, open circles; 5 mg mL–1, gray circles; 10 mg
mL–1, solid circles). (d) NP size following nanoprecipitation
from 5 mg mL–1 solutions of PEG-b-PLA (circles) in DMF, acetone, acetonitrile, THF, and DMSO correlated
to the measured ϕc. Similar trends were observed
for NPs formed from 10 mg mL–1 solutions of PEG-b-PLGA (triangles) and PEG-b-PCL (squares)
in acetone, DMF, and acetonitrile. Data plotted as mean ± SD
for three independent experiments. The x-error bars indicate the error
in the ϕc measurements (±0.02).In a typical nanoprecipitation, the water fraction
goes from 0.0
to beyond 0.9 on the milliseconds time scale, and the specific solvent–water
composition at which the NPs become frozen is difficult to determine.
To simulate block copolymer assembly during the early stages of mixing,
we investigated small rates of change in water fraction (Δϕ
= 0.01–0.02 min–1) from 0.0 to 0.5. For PEG-b-PLA in acetonitrile, the solution exhibited negligible
turbidity until ϕ ≈ 0.19. Further increasing the water
fraction induced a sharp rise in turbidity followed by a sharp decrease
and a plateau at ϕ ≈ 0.29, beyond which no further changes
in turbidity and NP properties were observed. We defined this value
as the critical water fraction of growth arrest ϕc. Negligible turbidity below ϕ ≈ 0.19 suggested that
the block copolymer chains existed as unimers or aggregates below
the critical dimension for Rayleigh scattering (∼25 nm).[42] Increasing the water fraction beyond the ϕ
≈ 0.19 induced assembly into structures that induced Rayleigh
scattering.[22,23] The sharp increase and decrease
in turbidity was attributed to the formation of dynamic assemblies
(Supporting Information Section S3). The
labile structures formed below ϕc could not be characterized
reliably via DLS or TEM. Similar behavior has been reported for other
block copolymers, such as PEG-b-PCL in acetonitrile
and poly(N-isopropylacrylamide-co-dimethylacrylamide)-block-poly(dl-lactide)
in N,N-dimethylacetamide,
and were described as unstable and swollen nanostructures.[23,45] Beyond ϕc, these assemblies formed frozen core–shell
NPs. NPs collected at different solvent–water compositions
beyond ϕc were colloidally stable.All of the
water-miscible solvents exhibited similar behavior with
a dynamic region and a solvent-dependent ϕc (Figure b). ϕc increased sequentially: ϕc,DMF ≈ ϕc,acetone < ϕc,acetonitrile < ϕc,THF < ϕc,DMSO. In the case of DMSO, we
did not observe a decrease in turbidity prior to ϕc; however, the turbidity reached a plateau at ϕc ≈ 0.5, and the NPs were colloidally stable beyond this point.
Solutions of PEG-b-PLA (Cpoly = 2.5, 5, and 10 mg mL–1) in DMF, acetone, acetonitrile,
THF, and DMSO were used to form NPs via batch nanoprecipitation. Interestingly,
NP size correlated to the measured ϕc of the solvents
(Figure c). In addition,
NP size correlated to ϕc for solutions of PEG-b-PCL and PEG-b-PLGA (Figure d; Supporting Information Section S4). The data with different block copolymers
indicated that the measured ϕc is a feature of the
block copolymer and solvent pair. Overall, these experiments demonstrated
that a solvent-dependent water composition, ϕc, exists
beyond which the polymer assemblies become kinetically trapped (frozen).
To explain how ϕc influenced NP
size, we further investigated the dynamics of block copolymer assembly
below the freezing point. The observed turbidity behavior was similar
for increasing or decreasing ϕ (Figure a). This indicated that the dynamic region
and ϕc were defined by the specific solvent and polymer
pair and did not depend on the direction of ϕ evolution.[22,46] We then characterized the time scale of the dynamics, τdyn, in response to discrete changes in ϕ in the dynamic
region using time-resolved turbidity measurements. The turbidity evolved
over the course of seconds to hours, indicating slow rearrangement
processes in the dynamic region (τdyn > 1 s; Figure b; Supporting Information Section S5).[47,48] In addition, dynamic assemblies were unstable and prone to aggregation,
whereas the nanoassemblies were colloidally stable beyond ϕc (Supporting Information Section
S6). Depending on the storage conditions, frozen NPs remained stable
over the course of weeks to months.
Figure 3
Dynamic turbidity measurements indicate
dynamic assembly below
ϕc. (a) The observed turbidity behavior as a function
of ϕ was similar for increasing and decreasing Δϕ
increments in water fraction. This indicated that below ϕc nanoassembly properties depended on the specific water content
and not on the direction of ϕ evolution. (b) Time-resolved turbidity
of a 4 mg mL–1 PEG-b-PLA acetonitrile
solution upon a step change in ϕ from 0.20 to 0.22 exhibited
assembly dynamics on the time scale of seconds (ϕc ≈ 0.28; Supporting Information Section S5). The time scale of polymer rearrangement dynamics τdyn was quantified by fitting the curve to an empirical model.
The model fit the turbidity change, ΔT, as
a function of time, t, with a single-exponential
function of the form .[47,49] Similar results were
observed for other discrete changes in ϕ within the dynamic
region (ϕ < ϕc). (c) In our proposed framework,
dynamic polymer assemblies rearrange and grow through unimer exchange
in the dynamic region. At ϕc, further growth is arrested
and the NPs become kinetically trapped, as the solvent–water
composition prevents further unimer exchange for ϕ > ϕc. Therefore, our hypothesis is that the extent of NP growth
is controlled by the amount of time the system spends in the dynamic
region, as dynamic rearrangement is slow relative to mixing (τdyn ≫ τmix). This time is controlled
by the solvent-dependent point of growth arrest, ϕc, and the mixing kinetics, rate of change in ϕ. These considerations
are discussed further in the context of our a priori model.
Dynamic turbidity measurements indicate
dynamic assembly below
ϕc. (a) The observed turbidity behavior as a function
of ϕ was similar for increasing and decreasing Δϕ
increments in water fraction. This indicated that below ϕc nanoassembly properties depended on the specific water content
and not on the direction of ϕ evolution. (b) Time-resolved turbidity
of a 4 mg mL–1 PEG-b-PLA acetonitrile
solution upon a step change in ϕ from 0.20 to 0.22 exhibited
assembly dynamics on the time scale of seconds (ϕc ≈ 0.28; Supporting Information Section S5). The time scale of polymer rearrangement dynamics τdyn was quantified by fitting the curve to an empirical model.
The model fit the turbidity change, ΔT, as
a function of time, t, with a single-exponential
function of the form .[47,49] Similar results were
observed for other discrete changes in ϕ within the dynamic
region (ϕ < ϕc). (c) In our proposed framework,
dynamic polymer assemblies rearrange and grow through unimer exchange
in the dynamic region. At ϕc, further growth is arrested
and the NPs become kinetically trapped, as the solvent–water
composition prevents further unimer exchange for ϕ > ϕc. Therefore, our hypothesis is that the extent of NP growth
is controlled by the amount of time the system spends in the dynamic
region, as dynamic rearrangement is slow relative to mixing (τdyn ≫ τmix). This time is controlled
by the solvent-dependent point of growth arrest, ϕc, and the mixing kinetics, rate of change in ϕ. These considerations
are discussed further in the context of our a priori model.Dynamic rearrangement of the formed aggregates
below ϕc suggested a kinetic mechanism for the solvent-dependent
NP
size.[40] As the assembly dynamics were slow
relative to the mixing kinetics (τdyn ≫ τmix), we hypothesized that the amount of time the system spends
in this dynamic region prior to reaching ϕc controlled
the extent of aggregate growth or ripening (Figure c). This time depends on the rate of change
in ϕ during nanoprecipitation, which is governed by the mixing
kinetics and the boundary for growth arrest—the solvent-dependent
ϕc. These considerations are further discussed in
our a priori model based on spinodal decomposition
and growth.
NP Size Depends on the Critical Water Fraction of Growth Arrest
and the Mixing Kinetics
To study the combined effects of
mixing kinetics and ϕc on NP size, we used a coaxial
jet mixer (CJM) to nanoprecipitate block copolymer solutions under
flow.[14,50] In the CJM, a central stream containing
the water-miscible solvent and block copolymer was mixed with an outer
stream of water (Figure a). The flow conditions in the CJM were varied to tune Re, and thereby τmix in the mixing channel.[13,14,51]
Figure 4
NP size scales with the solvent-dependent
ϕc and
mixing kinetics. (a) The mixing kinetics during nanoprecipitation
were tuned by using a coaxial jet mixer (CJM) and controlling the
solvent and nonsolvent flow velocities (and Re).
In the CJM a stream containing a water-miscible solvent and a block
copolymer (red) was mixed with a surrounding annulus of water (blue).
NPs were formed from 10 mg mL–1 PEG-b-PLA in different solvents (R = 0.005). (b) NP size
following nanoprecipitation in the CJM with constant mixing kinetics
(Re = 749) correlated to ϕc. Data
plotted as mean (black line) ± SD (colored box) for at least
three independent experiments (black dots). (c) NP size following
nanoprecipitation plotted as a function of Re (Re = 400–1000) correlated to ϕc across
all mixing conditions. These data suggested universal scaling behavior
for NP size based on solvent and mixing kinetics. Data plotted as
mean ± SEM for at least three independent experiments. (d) NP
size scaled by ϕc6/11 as a function of mixing conditions (Re) collapsed onto a single curve. The scaled data agreed
with the scaling model (solid line) based on spinodal decomposition
and dynamic growth. The shaded region shows the influence of the uncertainty
in ϕc (±0.02) on the model.
NP size scales with the solvent-dependent
ϕc and
mixing kinetics. (a) The mixing kinetics during nanoprecipitation
were tuned by using a coaxial jet mixer (CJM) and controlling the
solvent and nonsolvent flow velocities (and Re).
In the CJM a stream containing a water-miscible solvent and a block
copolymer (red) was mixed with a surrounding annulus of water (blue).
NPs were formed from 10 mg mL–1 PEG-b-PLA in different solvents (R = 0.005). (b) NP size
following nanoprecipitation in the CJM with constant mixing kinetics
(Re = 749) correlated to ϕc. Data
plotted as mean (black line) ± SD (colored box) for at least
three independent experiments (black dots). (c) NP size following
nanoprecipitation plotted as a function of Re (Re = 400–1000) correlated to ϕc across
all mixing conditions. These data suggested universal scaling behavior
for NP size based on solvent and mixing kinetics. Data plotted as
mean ± SEM for at least three independent experiments. (d) NP
size scaled by ϕc6/11 as a function of mixing conditions (Re) collapsed onto a single curve. The scaled data agreed
with the scaling model (solid line) based on spinodal decomposition
and dynamic growth. The shaded region shows the influence of the uncertainty
in ϕc (±0.02) on the model.PEG-b-PLA was nanoprecipitated
in the CJM for
the different solvents by using the same flow conditions (Re = 749; Figure b). The NP size correlated to ϕc, supporting
the central hypothesis that NP size depends on ϕc for a given τmix. To further investigate the influence
of mixing kinetics on NP size, PEG-b-PLA solutions
were nanoprecipitated in the CJM under varying flow conditions (Re ≈ 400–1000; Figure c). NP size decreased with increasing Re and NP size correlated to the measured ϕc for each solvent throughout the flow regime. We observed self-similar
behavior for NP size as a function of Re across the
different solvents, suggesting a scaling relation for NP size as a
function of ϕc and Re.
Physical Model of Solvent Effects in Block Copolymer Nanoprecipitation
To explain the observed scaling behavior for NP size based on solvent
and mixing kinetics, we developed a physical model of block copolymer
assembly based on spinodal decomposition and growth up to the solvent-dependent
freezing point, ϕc. A complete description of the
physical model is included in the Supporting Information (Section S7). In the CJM, convective processes break up the polymer
stream, and mixing between the polymer solution and water occurs within
the smallest fluid element in which kinetic energy is dissipated,
the Kolmogorov length scale, which was estimated to be ∼0.1–1
μm.[13,52] Following the work of Drese and colleagues,
the main assumptions were that the initial stage of nanoprecipitation
was governed by spinodal decomposition and that solvent controlled
the extent of aggregate growth.[40,53] The system was described
as block copolymers interacting in a solvent with time-varying χ.
The initial state was taken as block copolymer unimers in pure solvent.
The assembly of block copolymers into dynamic aggregates upon mixing
with water was modeled via spinodal decomposition. Growth was allowed
via unimer exchange up to ϕc. The time-dependent
assembly process was modeled by using the Cahn–Hilliard equation[54]where p is the local aggregation
number of block copolymers (Supporting Information, Section S8), M(p) is the species
mobility, f is the free energy per unit volume, and
ξ and λ are constants. On the basis of the work of de
Gennes, M(p) for the initial phase
of unimer aggregation scaled with p.[55,56] Following the work of Nose and Iyama, we estimated the free energy
aswhere γe is the effective
interfacial energy between the hydrophobic core and the surroundings
and N1 is the degree of polymerization
of the core forming block.[57] We combined eqs and 2 to describe the evolution of the local aggregation number, p, as a function of timewhere C is a constant that
depends on the physical parameters of the system.The surface
energy, γe, was related directly to the time-varying
water fraction, ϕ(t).[58−61] As a first approximation, we
assumed a linear increase in ϕ(t) up to ϕc.[58,59] The predicted NP size was calculated by
using the dimension of the corona: NP size = LNP ∝ N23/5p1/5,
where N2 is the degree of polymerization
of the corona forming block. Solving eq , with the above assumptions, from the initial condition
to the freezing point, ϕc, we related NP size to
ϕc and τmix or Re (using τmix ∝ Re–11/8).[13,52]This model, based on spinodal decomposition
and growth via unimer exchange up to ϕc, predicted
that NP size scales with the mixing kinetics (τmix or Re) and the solvent-dependent critical water
fraction of growth arrest (ϕc).On the basis
of the developed relationship, we scaled the experimental
NP size by the measured ϕc6/11. The scaled NP size collapsed onto the
predicted curve as a function of Re for all solvents
(Figure d). In the
tested regime, the scaling behavior supports the proposed physical
model—dynamic aggregates grow in a similar process for all
solvents, and growth is limited by the solvent-dependent ϕc (growth arrest). In this manner, the NP size was controlled
by how fast the system reaches growth arrest. This can be tuned with
τmix by varying the flow conditions of mixingor with
ϕc by changing the solvent. The scaling law suggested
how solvent controls NP size and provides useful guidelines to tailor
the size of block copolymer NPs. It remains to be seen if these observed
effects are limited to nonequilibrium (kinetically trapped systems),
and further studies should explore other block copolymer–solvent
systems as well as the role of solvent in equilibration nanoprecipitation.[62,63]
Conclusion
In this work, we explained how solvent affects
NP size during block
copolymer nanoprecipitation. Our proposed model suggests that dynamic
polymer aggregates grow from the onset of assembly to growth arrest
and that the water fraction for growth arrest is determined by the
solvent. Turbidity measurements indicated dynamics below a critical
water fraction and that kinetically trapped NPs were formed beyond
this point. We defined this point as the critical water fraction of
growth arrest, ϕc, which was measured for each solvent.
The NP size correlated to the experimental ϕc for
all solvents, block copolymers, and mixing kinetics tested in this
work. We developed an a priori model, based on spinodal
decomposition and growth via unimer exchange up to growth arrest,
that described how NP size scales with ϕc and mixing
kinetics. The experimental data for NP size collapsed onto the predicted
curve from the model when scaled by ϕc. This supported
the hypothesis that growth arrest ϕc controls NP
size during nanoprecipitation. Overall, our study provides fundamental
insight into the role of the solvent during the commonly used nanoprecipitation
method and provides insight into another control variable in the design
and engineering of block copolymer NPs.
Authors: Héloïse Ragelle; Fabienne Danhier; Véronique Préat; Robert Langer; Daniel G Anderson Journal: Expert Opin Drug Deliv Date: 2016-10-14 Impact factor: 6.648
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