We investigate the conformation of poly(2,6-diphenyl-p-phenylene oxide) (PPPO) in good and mixed solvents by small-angle neutron scattering (SANS) across its ternary phase diagram. Dichloromethane was selected as a "good" solvent and heptane as a "poor" solvent whose addition eventually induces demixing and polymer precipitation. Below the overlap concentration c*, the polymer conformation is found to be well described by the polymer-excluded volume model and above by the Ornstein-Zernike expression with a correlation length ξ which depends on the concentration and solvent/nonsolvent ratio. We quantify the decrease in polymer radius of gyration R g , increase in ξ, and effective χ parameter approaching the phase boundary. Upon flash nanoprecipitation, the characteristic particle radius (estimated by scanning electron microscopy, SEM) is found to scale with polymer concentration as well as with nonsolvent content. Significantly, the solution volume per precipitated particle remains nearly constant at all polymer concentrations. Overall, our findings correlate ternary solution structure with the fabrication of polymer nanoparticles by nonsolvent-induced phase separation and precipitation.
We investigate the conformation of poly(2,6-diphenyl-p-phenylene oxide) (PPPO) in good and mixed solvents by small-angle neutron scattering (SANS) across its ternary phase diagram. Dichloromethane was selected as a "good" solvent and heptane as a "poor" solvent whose addition eventually induces demixing and polymer precipitation. Below the overlap concentration c*, the polymer conformation is found to be well described by the polymer-excluded volume model and above by the Ornstein-Zernike expression with a correlation length ξ which depends on the concentration and solvent/nonsolvent ratio. We quantify the decrease in polymer radius of gyration R g , increase in ξ, and effective χ parameter approaching the phase boundary. Upon flash nanoprecipitation, the characteristic particle radius (estimated by scanning electron microscopy, SEM) is found to scale with polymer concentration as well as with nonsolvent content. Significantly, the solution volume per precipitated particle remains nearly constant at all polymer concentrations. Overall, our findings correlate ternary solution structure with the fabrication of polymer nanoparticles by nonsolvent-induced phase separation and precipitation.
Liquid–liquid
demixing of polymer solutions is a versatile
and ubiquitous manufacturing process exploited in the fabrication
of polymeric membranes, scaffolds, and porous materials and particles.[1−4] Applications of such materials range from drug delivery[5] and food[6] to catalysis[7] and sensing.[8] Demixing
is generally induced by a temperature change, by the addition of a
poor solvent (nonsolvent-induced phase separation, NIPS), or by a
pressure change.[9] Phase separation results
in the formation and coexistence of polymer-rich and polymer-poor
(solvent-rich) phases that evolve with time to eventually form the
polymer matrix and “void” space, respectively.[1]Ternary polymer/solvent/nonsolvent thermodynamics
are often rationalized
in terms of Flory–Huggins theory to describe NIPS,[10] and recent simulations have coupled solvent/nonsolvent
exchange and phase separation in ternary solutions[11] and glass formation[12] in the
context of membrane formation. Demixing occurs due to an elevated
free energy state of the system and proceeds via either nucleation
and growth (N&G) or spinodal decomposition mechanisms, yielding
characteristic cellular or bicontinuous interpenetrating structures,
respectively. Considerably less is known about the conformation and
dimensions of polymer chains in the one-phase region upon nonsolvent
addition and the role of concentration fluctuations approaching the
phase boundary or how these might be related to the resultant polymeric
structures formed by demixing and precipitation.The dimensions
of a polymer chain in a binary solvent mixture can
be higher or lower than those found in the pure solvents[13,14] and depend on the interactions between the polymer and each solvent
and between solvents. A mixture of two good solvents may act as a
poor solvent to the polymer (cononsolvency),[15] and conversely, two poor solvents may result in a good solvent (cosolvency),[16] as recognized since the 1970s in terms of local
solvent concentration and preferential adsorption onto the polymer.[17] In many cases, however, ternary polymer and
solvent/nonsolvent mixtures in the one-phase region can be considered
in terms of a single “effective” solvent with a combined
interaction parameter for the given polymer, whose variation of chain
dimensions and interaction parameter in mixed solvents was first considered
theoretically by Schultz and Flory.[18]A generalized Flory–Huggins-type theory for competitive
solvation has been proposed,[20] and various
polymer conformation models in mixed solvents have been reviewed recently,[21] highlighting the scarcity of experimental data
to enable their comparative examination and validation. Experimentally,
small-angle neutron scattering (SANS) provides a direct measure of
polymer chain dimensions, conformation, and interactions, and there
are relatively few reports of polymers in mixed solvents; binary polymer
solutions approaching the phase boundary as a function of temperature[22−24] and pressure[25] have been probed by SANS
as well as mixed solvent polymer systems with light scattering;[26] cononsolvency effects[27,28] have been investigated and an effective χ parameter description
employed.[29] Here, we consider a ternary
polymer:solvent:nonsolvent system approaching the phase boundary by
addition of nonsolvent and the ensuing nanoparticle formation upon
precipitation from the dilute regime.We previously mapped the
phase behavior and demixing of poly(2,6-diphenyl-p-phenylene oxide) (PPPO), whose monomer structure is shown
in Figure a, in mixed
solvents dichloromethane (DCM, a good solvent) and heptane (a nonsolvent).[19] The ternary phase diagram is depicted in Figure b, where the one-phase
region (ϕ1) is shown in green and the two-phase in
red (ϕ2). In this work, we use SANS to probe the
polymer conformation and solution behavior of PPPO in deuterated solvents, d-DCM and d-heptane. We select a range
of binary dilute and semidilute PPPO:d-DCM solutions
and investigate the addition of nonsolvent d-heptane
(at fixed polymer concentration) toward the phase boundary at selected
compositions shown as crosses in Figure b. We seek to resolve the effect of nonsolvent
addition to overall solvent quality, polymer chain dimensions, and
concentration fluctuations prior to phase separation and consider
the effect this may have on particle formation via precipitation.
Figure 1
(a) Monomer
structure of poly(2,6-diphenyl-p-phenylene
oxide) (PPPO). (b) Ternary phase diagram of PPPO/dichloromethane (DCM)/heptane
(exhibiting a small shift upon solvent deuteration[19]), indicating the one-phase (ϕ1, green)
and two-phase (ϕ2, red) regions. Investigated compositions
are shown as crosses along isopleths: (I) binary mixtures of PPPO
in d-DCM, (II) xPPPO =
0.01 (c*), and (IV) xPPPO = 0.2 with increasing heptane. Ternary
mixtures (II–IV) were selected to ensure the solvent:nonsolvent
ratio is consistent for each incremental addition of heptane (along
red lines) regardless of PPPO concentration (d-DCM:d-Hept = 96:4, 92:8, 88:12, 84:16, and 80:20).
(a) Monomer
structure of poly(2,6-diphenyl-p-phenylene
oxide) (PPPO). (b) Ternary phase diagram of PPPO/dichloromethane (DCM)/heptane
(exhibiting a small shift upon solvent deuteration[19]), indicating the one-phase (ϕ1, green)
and two-phase (ϕ2, red) regions. Investigated compositions
are shown as crosses along isopleths: (I) binary mixtures of PPPO
in d-DCM, (II) xPPPO =
0.01 (c*), and (IV) xPPPO = 0.2 with increasing heptane. Ternary
mixtures (II–IV) were selected to ensure the solvent:nonsolvent
ratio is consistent for each incremental addition of heptane (along
red lines) regardless of PPPO concentration (d-DCM:d-Hept = 96:4, 92:8, 88:12, 84:16, and 80:20).
Experimental Section
Materials
Poly(2,6-diphenyl-p-phenylene
oxide) (PPPO) (Mn = 176 kg/mol, Mw/Mn = 1.95, Tg = 228 °C) was used for these studies.
Deuterated dichloromethane (d-DCM, VWR Chemicals,
99.9%, ρ = 1.36 g/cm3 at 20 °C[30]) and heptane (d-Hept, VWR Chemicals, 99.8%,
ρ = 0.79 g/cm3, refractive index = 1.384 at 20 °C[30]) were used as solvent and nonsolvent, respectively.
Ternary solutions were prepared gravimetrically according to the compositions
shown in Figure b
at room temperature (21 °C) and were stored at this temperature
until use (1–2 h). Compositions were specifically selected
to ensure the solvent to nonsolvent ratio is consistent for each incremental
addition of heptane (along red lines) regardless of PPPO concentration.
Small-Angle Neutron Scattering (SANS)
SANS measurements
were carried out at the ISIS pulsed neutron source (Oxfordshire, UK)
using the time-of-flight SANS2D diffractometer with an incident wavelength
range of 2–14 Å at 10 Hz with two detectors at distances
of 2.4 and 4 m from the sample, yielding an approximate wavevector
range Q = (4π/λ)sin(θ/2) of 0.005–1
Å–1, where λ is the neutron wavelength
and θ is the scattering angle. The samples were prepared gravimetrically
and filtered (PTFE 1 μm) into quartz glass banjo cells of 1
mm path length (Hellma 120-QS) before SANS acquisition at room temperature
(21 °C). MANTID software (v3.13)[31] was used to reduce, merge, radially average, and calibrate the scattering
data, which were then analyzed with SasView (v5.0.4).[32] The coherent solvent contribution, from d-DCM and d-Hept, was subtracted from the total scattering
intensity and referred to as I(Q). This background-subtracted scattering intensity contains the coherent
scattering signal and the incoherent polymer background, Binc.
Polymer Solution SANS Analysis
Dilute Polymer
Solutions
In the dilute regime, polymer
chains are isolated and unentangled. For neutral polymers under theta
conditions, the contributions from attractive and repulsive excluded
volume interactions are equal, resulting in ideal (unperturbed) chain
dimensions (with excluded volume parameter ν = 1/2), and the
overlap concentration, , corresponds to the point at which the
overall concentration is equal to the pervaded concentration of the
coil. While several overlap criteria have been proposed,[33,34] we estimate the overlap concentration for this system as 2–3 w/w %, where Mw is the molecular weight (≃300 kg/mol), NA is Avogadro’s number, and R (∼10 nm) is the expected radius
of gyration of the polymer coil in the dilute limit.SANS data
along isopleth I (below c*) and isopleth II were
solvent subtracted (d-DCM, d-DCM/d-Hept) and could be well fitted to the polymer-excluded
volume model (Polymer_Excl_Vol in SasView). The corresponding form
factor P(Q) was originally introduced
by Benoît[35] aswhere a is the statistical
segment length of the polymer, N is the degree of
polymerization, and ν is the excluded volume parameter. SasView
uses a near-analytical form introduced by Hammouda,[36] and the polymer radius of gyrationexcluded volume parameter ν, and number
density of chains are readily obtained from fitting the calibrated
data. Values of segment length were estimated from the measured R and molecular weight considering
polydispersity and validated by comparison to previous work on poly(phenylene
oxide) (PPO),[37] as detailed in the Supporting Information.
Semidilute Polymer Solutions
In the semidilute regime,
above c*, chains begin to interpenetrate and solution
properties are influenced by the overlapping chains. These can be
considered as chains of spherical “blobs”, each containing
a certain number of monomers. The size of the blob is defined by the
distance across which two chains are able to interact, and this length
scale is called the correlation (or screening) length, ξ, which
depends on solvent quality (or temperature). Along isopleth I, above c* (and below the concentrated crossover c**), and isopleth III, the solvent-subtracted data were fitted to
the correlation length model (Correlation_Length model in SasView)[38]where the first term, accounting for Porod
scattering from aggregates, was not required (A ≡
0) in our analysis of one-phase solutions. The second, Lorentzian,
term describes the scattering from polymer chains, and ξ is
the correlation length, exponent m describes the
solvent quality (m = 5/3 for good and m = 2 for θ solvent), C is a scale factor,
and Binc is the incoherent scattering
background from the (hydrogenous) polymer. When m = 2, we recover the Ornstein–Zernike expression.
Solutions
near the Phase Boundary
Along isopleth IV
and particularly at large heptane concentrations, approaching the
phase boundary, an additional scattering contribution is observed
and is well modeled by a second Lorentzian whose physical interpretation
is discussed later. The solvent-subtracted SANS data were analyzed
according todefining an additional length scale ξ2 and implemented as a custom model in SasView.
“Effective”
χ Parameter Description
For completion, we also interpret
the scattering data in the framework
of the random phase approximation (RPA) and Flory–Huggins thermodynamics[39−41] customarily used to describe polymer blends in the one-phase region.
The absolute coherent scattering intensity (in units of cm–1) of a binary mixture at equilibrium readswhere b are the coherent scattering lengths
of the monomer units, v are their molar volumes,
and NA is Avogadro’s number. The
first term defines a “contrast” factor k ≡ NA(b1/v1 – b2/v2) ≡ NAΔρ2, such that I(q) = kS(q), and S(q) is the structure factor of the mixturewhere χeff is an
effective
interaction parameter (dimensionless), S(q) is the structure factor (in
units of cm3/mol) of each blend component S(q) = ϕvNP(q), and v0 is a certain reference
volume. Following Graessley,[42] a number
of simplifications apply for polymer solutions are made. “Component
1” is customarily the solvent (or an “effective”
solvent), and the reference volume is taken as v0 ≡ v,
the molar volume of the solvent. The polymer volume fraction is simply
ϕ2 ≡ ϕ, and hence, the solvent ϕ1 ≡ 1 – ϕ. For the solvent, P1(q) = 1 and P2 is the form factor of the polymer, which at intermediate q values can be written as . Using a Zimm representation (1/I vs q2), the χeff parameter can be readily
estimated from the low q intercept asFor ternary mixtures,
such as a polymer in
mixed solvents, the treatment is evidently more complex and one can
tentatively define an “effective solvent” medium whose
scattering length density b1 and molar
volume v1 ≡ v are computed as the weighted averages of
the individual solvent components. An effective χeff can thus be evaluated as a function of polymer concentration and
solvent/nonsolvent ratio.
Flash Nanoprecipitation
(FNP)
Particle Preparation
PPPO nanoparticles were generated
by flash nanoprecipitation (FNP),[4,43,44] which rapidly impinges opposing jets of dilute polymer
solution and nonsolvent within a confined geometry, typically a confined
impinging jet (CIJ) mixer or a multi-inlet vortex mixer (MIVM). Typical
volumetric flow rates of ∼1 mL/s per inlet fluid, in typical
operation of a CIJ mixer,[45] yield jet velocities
of ∼1 m/s, which result in the rapid mixing (∼milliseconds),
quenching the mixture in the two-phase region, and cause a chain-to-globule
transition of dilute chains. Homogeneous nucleation and diffusion-limited
growth/aggregation of globules ensues, leading to the formation of
a nanoparticle suspension. The selected inlet polymer solution compositions
correspond to those along isopleths I (below c*)
and II, ensuring that both the polymer solution (PPPO:DCM) and the
nonsolvent (heptane) have similar viscosities and thus momenta of
impinging jets to ensure rapid energy dissipation and uniform mixing.
Further details are provided in Supporting Information Figure S1.
Scanning Electron Microscopy (SEM)
Dry polymer nanoparticles
were mounted on carbon tape, coated with ∼10 nm of gold, and
imaged at 10 kV with a typical working distance of 4–5 mm using
a Zeiss Auriga Crossbeam scanning electron microscope (SEM).
Results and Discussion
Polymer in Good Solvent: Binary PPPO:d-DCM
Mixtures
SANS experiments were first carried out on binary
solutions of PPPO in d-DCM over a range of concentrations
0.25–20 w/w % PPPO with the aim to cover the dilute, semidilute,
to concentrated regions.Figure a shows the solvent-subtracted SANS data from the binary
PPPO:d-DCM solutions (along isopleth I, inset) with
polymer w/w % labeled to the right of each data set. Background contributions
from the incoherent scattering from the polymer and coherent scattering
from the solvent are detailed in Supporting Information Figures S2 and S3. The scattering length densities for PPPO
and d-DCM were calculated to be 2.27 × 10–6 and 3.73 × 10–6 Å–2 respectively, and therefore, the contrast factor
(Δρ2) was found to be 2.14 × 10–12 Å–4, as detailed in the Supporting Information.
Figure 2
(a) Solvent-subtracted SANS intensity
for binary mixtures of 0.25–20
w/w % PPPO in d-DCM (isopleth I) with solid lines
indicating model fits. Red lines indicate solutions below c* (≤2%) fitted by the polymer-excluded volume model
and black lines using the correlation length model. Error bars are
included for the lowest PPPO concentration. (Inset) Ternary phase
diagram and associated isopleth (I) for this data set. (b) SANS scattering
intensity after subtraction of both the solvent background and the
polymer incoherent contribution (Binc)
for binary mixtures of PPPO in d-DCM (isopleth I)
and then divided by PPPO volume fraction. Compositions below c* collapse onto one curve (red line shown for R ≃ 90 Å and exponent −5/3).
(Insets) Dilute polymer chain (red, ≤c*) and
polymer network (black, ≥c*).
(a) Solvent-subtracted SANS intensity
for binary mixtures of 0.25–20
w/w % PPPO in d-DCM (isopleth I) with solid lines
indicating model fits. Red lines indicate solutions below c* (≤2%) fitted by the polymer-excluded volume model
and black lines using the correlation length model. Error bars are
included for the lowest PPPO concentration. (Inset) Ternary phase
diagram and associated isopleth (I) for this data set. (b) SANS scattering
intensity after subtraction of both the solvent background and the
polymer incoherent contribution (Binc)
for binary mixtures of PPPO in d-DCM (isopleth I)
and then divided by PPPO volume fraction. Compositions below c* collapse onto one curve (red line shown for R ≃ 90 Å and exponent −5/3).
(Insets) Dilute polymer chain (red, ≤c*) and
polymer network (black, ≥c*).The statistical errors decrease with increasing polymer concentration,
and error bars have been included for the lowest concentration data
(0.25 w/w % PPPO) to illustrate the largest possible errors. The incoherent
background increases linearly with polymer concentration with a gradient
of 0.48(5) cm–1 for neat PPPO (in line with ∼0.5
cm–1 for many polymers[46]); the intercept at 0.037(7) cm–1 corresponds to
the coherent scattering of the d-DCM (see Supporting Information Figure S3). Data fits
are shown as solid lines in Figure a: red lines indicate solutions in the dilute regime,
analyzed by the polymer-excluded volume model (eqs and 2), and black lines
show data in the semidilute/concentrated regimes, analyzed using the
correlation length model (eq ). Some low Q deviations are likely caused
by background and forward scattering contributions, and the high Q uncertainties are associated with lower statistics characteristic
of polychromatic SANS at the tails of the neutron velocity distributions.Figure b shows
the coherent-only SANS data along isopleth I following background
subtraction divided by the volume fraction contribution of the polymer
in solution. Below c*, the scattering data are expected
to collapse onto a single curve, which holds up to 2 w/w % PPPO, as
shown by the single solid red line. The red schematic illustrates
an isolated Gaussian coil in solution. Above c* (depicted
by a black polymer mesh), as the polymer chains begin to overlap with
one another, the polymer density per unit volume increases and the
scattering intensity no longer collapses; in addition, interactions
between adjacent chains contribute to the scattering signal.Figure summarizes
the fitted parameters obtained from the black and red solid lines
in Figure a for binary
mixtures of PPPO:d-DCM at the concentration range
investigated. Figure a shows the chain dimensions as a function of PPPO concentration,
where the red circles show the R estimated for dilute solutions (and excluded volume model)
and black circles indicate ξ, estimated from the correlation
length model (for completion, fits to the correlation length model
for binary solution data below c* are shown in Supporting InformationFigure S4a). The R of
PPPO in good solvent d-DCM is found to be 90 ±
5 Å. Approaching the cross-over c* ≃
2 w/w % PPPO, the R decreases
slightly, indicating the onset of chain contraction in the semidilute
regime.
Figure 3
Solution parameters extracted from PPPO:d-DCM
scattering data shown in Figure a along isopleth I. (a) Radius of gyration (R, red) below c*, computed using the polymer-excluded volume model, and correlation
length (ξ, black), from the correlation length model, with respect
to PPPO concentration. Shaded area indicates the dilute region, c ≲ c*. (b) Reduced correlation
length (ξ/R) data
from isopleth I with respect to reduced polymer concentration (c/c*). Dashed black line is a fit to (1
+ βc/c*)α, where β = 2 and α = −3/4. (c) Change in Lorentzian
exponent (m), characterizing the polymer–solvent
interaction, with respect to polymer concentration. Shaded area indicates
dilute regime with associated change from good (c ≤ c*) to approximately θ (c > c*) solvent.
Solution parameters extracted from PPPO:d-DCM
scattering data shown in Figure a along isopleth I. (a) Radius of gyration (R, red) below c*, computed using the polymer-excluded volume model, and correlation
length (ξ, black), from the correlation length model, with respect
to PPPO concentration. Shaded area indicates the dilute region, c ≲ c*. (b) Reduced correlation
length (ξ/R) data
from isopleth I with respect to reduced polymer concentration (c/c*). Dashed black line is a fit to (1
+ βc/c*)α, where β = 2 and α = −3/4. (c) Change in Lorentzian
exponent (m), characterizing the polymer–solvent
interaction, with respect to polymer concentration. Shaded area indicates
dilute regime with associated change from good (c ≤ c*) to approximately θ (c > c*) solvent.As expected, above c*, the correlation length
ξ decreases with polymer concentration, as the interchain distance
decreases. The observed scaling law of ξ ≈ c–3/4 agrees with the expected scaling for semidilute
polymer solutions in a good solvent,[47,48] predicting
a concentration dependence of ξ ∝ c–ν/(3ν–1), so that ξ ∝ c–3/4 when ν = 0.6, the expected
value for semidilute polymer solutions in a good solvent. Figure b shows the reduced
correlation length, ξ/R, of the data from Figure a for binary mixtures of PPPO:d-DCM
(isopleth I) in the dilute and semidilute regimes as a function of
the reduced polymer concentration c/c*. A line of best fit (dashed black line) is shown of the form (1
+ βc/c*),[49] where β = 2 and α
= −3/4.Figure c shows
the change in the exponent for the fitted data in Figure a with respect to the PPPO
solution concentration. This exponent value is characteristic of polymer–solvent
interactions, and m (≡ 1/ν) = 5/3 (red
horizontal line) is indicative of the good solvent regime. From the
dilute to semidilute regimes, m approaches 2 (blue
horizontal line), as expected toward concentrated solutions.
Ternary
Solutions of PPPO:d-DCM:d-Heptane
We next consider SANS measurements for ternary
solutions of PPPO in good solvent d-DCM with added
poor solvent d-heptane. PPPO concentrations (1, 10,
and 20 w/w %) below and above c* were selected, and n-heptane was added incrementally to approach the phase
boundary (isopleths II, III, and IV). The experiments were carried
at fixed polymer content, effectively “exchanging”
the good for poor solvent.Figure a shows the solvent-subtracted scattering
intensity of 1 w/w % PPPO:d-DCM:d-heptane solutions (dilute regime, along isopleth II, inset) with
heptane w/w % indicated on the graph. For clarity, each curve was
scaled by a factor of 1.25 from the 0 w/w % heptane data with respect
to increasing heptane concentration. Figure b shows the data for 10 w/w % PPPO:d-DCM:d-heptane solutions (in the semidilute
regime, along isopleth III, inset). The coherent scatterings of d-DCM (nearly constant at ≃0.04 cm–1) and d-heptane (≃ 0.1 cm–1 with non-negligible Q dependence) were subtracted
for the total scattering intensity in the appropriate ratios. Scattering
length densities (5.49 × 10–6 Å–2 for d-heptane) and relevant backgrounds (Figure S2) are detailed in the Supporting Information. Both data sets in Figure are expected to converge at
high Q, corresponding to the incoherent background
of the 1 or 10 w/w % PPPO, although the former do not reach this background
level within the measured Q range (for clarity, unscaled
data for 1 w/w % are shown in Figure S4b and S4c). In both cases, the overall scattering intensity increases with
increasing heptane concentration within this Q range,
associated with chain contraction in the dilute regime (effectively
“shifting” the profile to higher Q),
and with the increase in correlation length ξ in the semidilute
regime, above c*. The data are well described by,
respectively, the polymer-excluded volume model (red lines) and the
correlation length model (black lines).
Figure 4
(a) Solvent-subtracted
SANS intensity for ternary mixtures of 1
w/w % PPPO:d-DCM:d-Hept (isopleth
II) as a function of added d-heptane (indicated on
the right) scaled by a factor of 1.25× from the 0% d-heptane profile. Red lines are fits to the polymer-excluded volume
model (dilute regime). (Inset) Associated isopleth (II) for these
compositions. (b) Solvent-subtracted SANS intensity for ternary mixtures
of 10 w/w % PPPO:d-DCM:d-Hept (isopleth
III); solid black lines are fits to the correlation length model (semidilute
regime).
(a) Solvent-subtracted
SANS intensity for ternary mixtures of 1
w/w % PPPO:d-DCM:d-Hept (isopleth
II) as a function of added d-heptane (indicated on
the right) scaled by a factor of 1.25× from the 0% d-heptane profile. Red lines are fits to the polymer-excluded volume
model (dilute regime). (Inset) Associated isopleth (II) for these
compositions. (b) Solvent-subtracted SANS intensity for ternary mixtures
of 10 w/w % PPPO:d-DCM:d-Hept (isopleth
III); solid black lines are fits to the correlation length model (semidilute
regime).Figure summarizes
the corresponding fitting parameters. Figure a shows the decrease in the R in the dilute (1 w/w %) PPPO solution,
along isopleth II, of up to ≃15%, associated with chain contraction
induced by the nonsolvent. The scaling exponent, ν = 3/5 for
good solvent, is expected to decrease toward ν = 1/2 and possibly
beyond. However, the value and uncertainty of ν is sensitive
to the subtraction of the coherent scattering contribution from the
solvents and the incoherent contribution from the polymer (and possible
volume of mixing changes). While our data are compatible with this
ν decrease, we verify the robustness of the R decrease as follows. The polymer-excluded
volume model, eqs and 2, was used to obtain R, keeping ν as a free parameter, corresponding
to the black data points; then, ν was constrained at 3/5 or
1/2 for further fits to the data and the resulting R estimated, as shown by the shaded gray
band. The R reduction
is thus quantified, despite some uncertainty in ν, as the solvent
quality decreases. Estimating the polymerization index, N, and segment length a, we approximate R ≃ 60 Å (detailed
in Supporting Information), indicating
that the chain, although partially collapsed, remains in a “good”
solvent range, consistent with the distance to the stability line
shown in Figure b.
Figure 5
Solution
parameters extracted from the data shown in Figure : (a) decrease in R in 1 w/w % ternary mixtures PPPO:d-DCM:d-Hept (isopleth II) upon d-heptane addition. Data points show best R fits (with free exponent ν),
and shaded area delineates the variation of R when exponent m is fixed
from good (m = 5/3) to θ (m = 2) solvent. Illustrations show as-expanded coil in good solvent
and chain contraction by nonsolvent. (b) Change in ξ for ternary
mixtures of 10 w/w % PPPO:d-DCM:d-Hept (isopleth III) with increasing d-heptane concentration,
well described by an exponent m = 2. Schematics show
correlation “blobs” whose size increases upon heptane
addition.
Solution
parameters extracted from the data shown in Figure : (a) decrease in R in 1 w/w % ternary mixtures PPPO:d-DCM:d-Hept (isopleth II) upon d-heptane addition. Data points show best R fits (with free exponent ν),
and shaded area delineates the variation of R when exponent m is fixed
from good (m = 5/3) to θ (m = 2) solvent. Illustrations show as-expanded coil in good solvent
and chain contraction by nonsolvent. (b) Change in ξ for ternary
mixtures of 10 w/w % PPPO:d-DCM:d-Hept (isopleth III) with increasing d-heptane concentration,
well described by an exponent m = 2. Schematics show
correlation “blobs” whose size increases upon heptane
addition.Figure b shows
the change in ξ with respect to heptane concentration for solutions
with 10 w/w % PPPO, along isopleth II, computed from the correlation
length model, eq . This
semidilute solution is well above c*, and the estimated
correlation length, ξ, is associated with the network of overlapping
polymer chains, specifically the size of a blob, in the context of
the de Gennes’ blob model, representing the average distance
between two chains.[47,50,51] In a good solvent, polymer chains are swollen (ν = 3/5) inside
the blobs, while for larger dimensions, the blobs become the elementary
units and scaling for concentrated solutions holds (ν = 1/2).
We find that ξ increases almost linearly as a function of heptane
concentration, almost doubling in size. The fitting exponent was not
fixed for this analysis, and m = 2 in eq was consistently found to yield
the best description of the data. We interpret this increase in ξ
as due to the decrease in solvent quality and associated local conformational
change that causes the distance between chains to effectively increase.Figure a shows
the solvent-subtracted SANS data from the ternary 20 w/w % PPPO:d-DCM:d-heptane solutions (along isopleth
IV, inset) with added d-heptane from 0 to 16 w/w
%. As expected, the spectra converge at high Q, corresponding
to the incoherent background intensity for 20 w/w % PPPO. As above,
the scattering intensity increases with d-heptane
addition, approaching the phase boundary; the solutions in this region
are very viscous, nearly gel-like. Initial nonsolvent addition results
in an increased blob size, well described by the correlation length
model (eq ) and plotted
in Figure b. At higher
concentration, viz. 9.6–16 w/w % d-heptane,
an additional lower Q contribution emerges, as indicated
by the dashed line in Figure a, and the data were instead described by a double correlation
length model (eq ).
The origin of this additional contribution is not entirely clear to
us, and the scattering profile is reminiscent of certain cross-linked
gel systems. Temporally slicing the SANS spectra indicates that the
signal is not evolving with time, as would be expected for the earlier
stages of the demixing and coarsening process (Supporting Information Figure S5); yet, for the highest two
concentrations of d-heptane, some incipient optical
turbidity can be observed. We thus rationalize this contribution in
terms of the polydispersity of the polymer, which results in cloud
and shadow curves and thus more complex demixing stages, or possibly
due to the incipient precipitation of the larger Mw tail of the distribution, effectively fractionating
the solution by dropwise nonsolvent addition. We cannot, however,
rule out a more complex behavior related to concentration fluctuations
in this ternary mixed-solvent system.
Figure 6
(a) SANS intensity for 20 w/w % PPPO:d-DCM:d-Hept solutions (isopleth IV) after
subtraction of the
solvent contribution for added d-heptane 0–16
w/w % indicated. Solid black lines are fits to the correlation length
model, eq . Highest
three heptane concentrations (9.6, 12.8, and 16 w/w %) were fitted
using an extension of the correlation length model, eq , to account for the low-Q upturn (before dashed line). (Inset) Ternary phase diagram
and associated isopleth (IV). (b) Change in correlation length ξ1 (black) for data shown in a with heptane concentration; in
addition, values for the additional length scale of the second Lorentzian,
ξ2 (red) are shown with a guide to the eye. Shaded
areas correspond to the onset (light gray) and demixing (dark gray)
boundaries.
(a) SANS intensity for 20 w/w % PPPO:d-DCM:d-Hept solutions (isopleth IV) after
subtraction of the
solvent contribution for added d-heptane 0–16
w/w % indicated. Solid black lines are fits to the correlation length
model, eq . Highest
three heptane concentrations (9.6, 12.8, and 16 w/w %) were fitted
using an extension of the correlation length model, eq , to account for the low-Q upturn (before dashed line). (Inset) Ternary phase diagram
and associated isopleth (IV). (b) Change in correlation length ξ1 (black) for data shown in a with heptane concentration; in
addition, values for the additional length scale of the second Lorentzian,
ξ2 (red) are shown with a guide to the eye. Shaded
areas correspond to the onset (light gray) and demixing (dark gray)
boundaries.Figure b depicts
the correlation length ξ1 (black) and the descriptive
parameter ξ2 (red). As noted by Graessley,[42] these small sizes obtained with the Ornstein–Zernike
expression should not be interpreted as a concrete physical length
in the solution. With this caveat, we note that ξ1 increases with the addition of heptane up to 9.6 w/w %, at which
point it increases more gradually or plateaus within measurement uncertainty.
The red solid circles show a divergent relationship between ξ2 and d-heptane concentration approaching
the two-phase region, and the dark shaded area corresponds to the
location of the phase boundaries, while the lighter shaded area indicates
the presence of the two scattering contributions. Overall, the results
agree well with the macroscopic phase diagram.
“Effective”
χeff Estimates
We next employ eq as a mean to obtain a χeff parameter from the low q intercept of
a Zimm representation (1/I vs q2) of the coherent scattering data
(following solvent and polymer background subtraction). The “effective
solvent” medium is defined to have a scattering length density b1 and molar volume v1 ≡ v computed
as the weighted average (by volume fraction) of the individual solvent
components, as detailed in Supporting Information Figure S6. Figure a plots χeff as a function of either PPPO
or added nonsolvent concentration (at three fixed PPPO concentrations).
An alternative mean-field treatment for semidilute polymer solutions[52] (previously employed to characterize aqueous
PNIPAM solutions[29,53]) computes χeff from the correlation length ξ and yields similar results.
For the 20% PPPO solutions, we take ξ1 as the characteristic
correlation length of the solution (since the additional lower q component is associated with demixing).
Figure 7
χeff values estimated for (a) binary solutions
of PPPO:d-DCM from fits to SANS data in Figure (concentrations
below c* are in the shaded band) and (b) ternary
solutions of PPPO:d-DCM:d-heptane
from data in Figures and 6. Theta condition (χθ = 0.5) is show by red dashed lines.
χeff values estimated for (a) binary solutions
of PPPO:d-DCM from fits to SANS data in Figure (concentrations
below c* are in the shaded band) and (b) ternary
solutions of PPPO:d-DCM:d-heptane
from data in Figures and 6. Theta condition (χθ = 0.5) is show by red dashed lines.Low PPPO concentrations in DCM exhibit χeff <
0.5, characteristic of a polymer in good solvent, and χeff approaches 0.5 above c*, indicative of
theta conditions.[54] At all fixed PPPO concentrations,
addition of heptane increases χeff; for 1% PPPO,
below c*, the effect is relatively small (within
measurement uncertainty) and χeff does not reach
0.5. We note however that this treatment shares the limitations of
the underpinning Flory–Huggins and RPA assumptions, which may
not rigorously hold for very dilute solutions.[42] Further, in mixed solvents, the lower number density of
chains and proportionally large amount of good solvent present may
lead to spatial heterogeneity in the concentration field.[20]Above c*, we find that
χeff increases
above 0.5 upon nonsolvent addition, which occurs at a lower heptane
fraction for the higher PPPO concentration or proportionally a lower
fraction of good solvent present. However, in a ternary component
system at a fixed temperature, the critical point exists at a specific
polymer concentration, and therefore, values of χeff in Figure b exceeding
0.5 do not necessarily indicate demixing but rather a progressively
lower solvent quality. The low Q upturn in the scattering
profile shown in Figure a and the onset of optical cloudiness do indicate a small shift[19] of the phase boundaries toward lower heptane
concentration, likely due to deuteration effects (and the smaller
length scales probed by SANS).
Structure and Morphology
of Precipitated Nanoparticles
In order to relate the solution
structure to particle formation,
homogeneous PPPO solutions below c* were then plunged
into the two-phase region and precipitated via flash nanoprecipitation
(FNP), as described in Supporting Information Figure S1. Upon chain collapse, NPs of prescribed dimensions
form by aggregation before a kinetic arrest is reached within the
nonsolvent (heptane) reservoir. Figure a displays the selected PPPO solution composition inputs
using binary mixtures (isopleth I) below c* and ternary
mixtures for 1 w/w % PPPO (isopleth II). Figure b and 8c shows SEM
images of the corresponding granular PPPO NPs, and the inset shows
an enlarged image of each panel. Initial visual inspection indicates
that the particle size increases with increasing polymer and heptane
concentration. Figure d shows the computed average NP radius RNP and volume VNP corresponding to the
images in Figure b as a function of polymer concentration of the input solution. The
resulting RNP ≃30–60 nm
and are thus ∼3–6 times larger than the polymer R. The particle volume VNP (open squares) is found to increase linearly
with polymer concentration, as the radius RNP increases with a power law of ∼1/3.
Figure 8
(a) Solution compositions
employed in FNP: binary mixtures of PPPO:DCM
below c* and ternary mixtures of PPPO:DCM:Hept (isopleth
II) at 1 w/w % PPPO. (b) SEM images of PPPO nanoparticles (NP) obtained
from PPPO:DCM solutions with increasing PPPO concentration (indicated
on the top right of each image). (c) SEM images of NP obtained from
1 w/w % PPPO:DCM:heptane solutions with increasing heptane concentration
(indicated). (d) Average particle radius (open circles) and volume
(open squares); error bars are standard deviation computed from 150
particles. (e) Estimated average number of PPPO molecules per NP (open
circles) and solution volume corresponding to one particle (open squares)
for NP shown in b. (f) NP size distribution as a function of PPPO
concentration. (g) Average particle volume corresponding to the images
in c with increasing heptane concentration. (h) Estimated average
number of PPPO molecules per NP. (i) NP size distribution as a function
of heptane concentration.
(a) Solution compositions
employed in FNP: binary mixtures of PPPO:DCM
below c* and ternary mixtures of PPPO:DCM:Hept (isopleth
II) at 1 w/w % PPPO. (b) SEM images of PPPO nanoparticles (NP) obtained
from PPPO:DCM solutions with increasing PPPO concentration (indicated
on the top right of each image). (c) SEM images of NP obtained from
1 w/w % PPPO:DCM:heptane solutions with increasing heptane concentration
(indicated). (d) Average particle radius (open circles) and volume
(open squares); error bars are standard deviation computed from 150
particles. (e) Estimated average number of PPPO molecules per NP (open
circles) and solution volume corresponding to one particle (open squares)
for NP shown in b. (f) NP size distribution as a function of PPPO
concentration. (g) Average particle volume corresponding to the images
in c with increasing heptane concentration. (h) Estimated average
number of PPPO molecules per NP. (i) NP size distribution as a function
of heptane concentration.Figure e shows
the calculated number of polymer molecules per particle NNP (open circles), estimated from the ratio of VNP and PPPO molecular volume (calculated as V ≃ Mw/(ρNA)). A linear relation is also found with the initial
PPPO concentration, and each NP comprises approximately 100–1000
molecules. We then estimate the initial solution volume that corresponds
to the formation of a single polymer nanoparticle. Given the linearity
of VNP, we expect to find a correlation
between the number density of polymer molecules (Nd ≡ N/V) in solution,
which evidently scales with polymer concentration, and the resulting
nanoparticle volume VNP. Given that NNP and VNP have
been measured and the polymer concentration is known, the corresponding
solution volume per particle can be readily calculated. Within experimental
uncertainty, we find that each nanoparticle, regardless of the initial
polymer concentration, arises from the same solution
volume of ≃1.2 × 104 nm3.Evidently, NP size increases while R decreases (within the dilute regime) and ξ
decreases beyond c* with polymer concentration, and
thus, a simple correlation between these length scales is not expected.
NP dimensions appear primarily dependent on the initial solution concentration,
which is consistent with the fact that FNP operates in the dilute
regime, and thus, the nanoparticle size should scale with the number
density of chains (which then rapidly collapse and aggregate). Assuming
a small variation in solution viscosity change within the dilute concentration
range, the time scales for aggregation should be comparable, and this
results in a constant liquid volume forming each individual NP regardless
of the initial polymer concentration. Increasing the polymer concentration
therefore increases the Nd of chains and
thus VNP. The constant solution volume
associated per NP appears to be consistent with this physical picture
and compelling. This volume is, however, expected to depend on the
polymer/solvent/nonsolvent interactions, chain size, and FNP flow
rate and geometry and is thus likely system dependent (although this
number provides an interesting benchmark, which holds approximately
for other systems below c*, e.g., polystyrene/tetrahydrofuran/water[55]).Figure f shows
the size distribution of the nanoparticles as PPPO concentration increases.
The peak broadens with increasing concentration, as NP polydispersity
increases, which could be associated with the small viscosity dependence
adversely affecting the mixing efficacy and aggregation; further,
proximity to c* may favor network formation over
single-chain collapse, in turn promoting aggregation.[56]Figure g and 8h shows the average particle volume VNP and the estimated PPPO molecules, respectively,
per particle with respect to the initial heptane concentration. Both
appear proportional to , which is likely associated with the proximity
to the phase boundary of the input stream, leading to a greater demixing
driving force and/or fast aggregation. This result contrasts with
some FNP observations for which the proximity to the phase boundary
was found to result in smaller particle sizes and associated with
earlier kinetic arrest.[43] However, these
employed water as nonsolvent, which is thought to impart charge stabilization
to NPs due to its high dielectric constant, whereas precipitation
by low dielectric nonsolvents (e.g., organic) is more likely to result
in aggregates.[4,57] This appears to be the case
for higher initial heptane concentrations especially, for which the
NP size distribution becomes particularly broad (Figure i).
Conclusions
The
solution structure of poly(2,6-diphenyl-p-phenylene
oxide) was investigated in mixed (good and bad) solvents by SANS in
the one-phase region of its ternary phase diagram and related to the
nanoparticles formed upon flash nanoprecipitation (FNP) in the poor
solvent. Deuterated DCM and heptane were selected as the good/poor
or solvent/nonsolvent pair for SANS, and their hydrogenous counterparts
were employed in FNP experiments. The overlap concentration (c*) of PPPO in DCM was estimated to be 2 w/w %, and scattering
data for concentrations below this c* were found
to be well described by the polymer-excluded volume model, with excluded
volume parameter ν = 3/5, indicative of a good solvent, and
a radius of gyration (R) of approximately 90 Å. For binary mixtures above c*, a Lorentzian profile with an excluded volume parameter ν
= 1/2 (theta solvent) fit the scattering data best, and the estimated
correlation length decreased with polymer concentration, as expected
from scaling theory.Ternary mixtures in the dilute regime were
also fitted with the
polymer-excluded volume model, but a decrease in R of ∼15% was observed as the
solvent quality decreases near the phase boundary. Conversely, an
increase in the screening length ξ was found in the semi-dilute
regime with the addition of nonsolvent and attributed to local chain
collapse and therefore an increase in concentration blob sizes in
solution. In the concentrated regime, a second Lorentzian model was
used to describe the low Q upturn, seen as the heptane
concentration increases, and the evolution of the characteristic dimensions
was related to the proximity to the phase boundary.Polymer
nanoparticles were successfully formed by FNP from dilute
solutions previously investigated by SANS. The NP radius was found
to scale with , meaning that the
nanoparticle volumes
scale linearly with concentration, VNP ≈ cPPPO, in this regime. Estimating
the number density of chains in the feed solution, our data indicate
that each NP arises from the same initial solution volume of 2.5 ×
107 nm3, regardless of polymer concentration.
However, we find that NP polydispersity does increase as both the
polymer concentration and the heptane doping increase in the original
feed solution, likely caused by increased aggregation.
Authors: Jing Han; Zhengxi Zhu; Haitao Qian; Adam R Wohl; Charles J Beaman; Thomas R Hoye; Christopher W Macosko Journal: J Pharm Sci Date: 2012-07-06 Impact factor: 3.534
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Authors: Tatiana I Morozova; Victoria E Lee; Athanassios Z Panagiotopoulos; Robert K Prud'homme; Rodney D Priestley; Arash Nikoubashman Journal: Langmuir Date: 2019-01-14 Impact factor: 3.882
Authors: Yang Yang Li; Frédérique Cunin; Jamie R Link; Ting Gao; Ronald E Betts; Sarah H Reiver; Vicki Chin; Sangeeta N Bhatia; Michael J Sailor Journal: Science Date: 2003-03-28 Impact factor: 47.728