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Article

Solute Diffusion into Polymer Swollen by Supercritical CO2 by High-Pressure Electron Paramagnetic Resonance Spectroscopy and Chromatography

by
Oleg I. Gromov
1,*,
Mikhail O. Kostenko
2,
Alexander V. Petrunin
3,
Anastasia A. Popova
1,
Olga O. Parenago
1,2,
Nikita V. Minaev
4,
Elena N. Golubeva
1 and
Mikhail Ya. Melnikov
1
1
Faculty of Chemistry, Lomonosov Moscow State University, Leninskiye Gory, 1-3, 119991 Moscow, Russia
2
Kurnakov Institute of General and Inorganic Chemistry of the Russian Academy of Sciences, Leninsky Prosp. 31, 119991 Moscow, Russia
3
Institute of Physical Chemistry, RWTH Aachen University, 52056 Aachen, Germany
4
Federal Scientific Research Centre “Crystallography and Photonics” RAS, Institute of Photon Technologies, Pionerskaya Str. 2, Troitsk, 108840 Moscow, Russia
*
Author to whom correspondence should be addressed.
Polymers 2021, 13(18), 3059; https://doi.org/10.3390/polym13183059
Submission received: 5 August 2021 / Revised: 31 August 2021 / Accepted: 6 September 2021 / Published: 10 September 2021
(This article belongs to the Special Issue Heat and Mass Transfer in Porous Polymers)

Abstract

:
High-pressure electron paramagnetic resonance (EPR) was used to measure translational diffusion coefficients (Dtr) of a TEMPONE spin probe in poly(D,L-lactide) (PDLLA) and swollen in supercritical CO2. Dtr was measured on two scales: macroscopic scale (>1 μm), by measuring spin probe uptake by the sample; and microscopic scale (<10 nm), by using concentration-dependent spectrum broadening. Both methods yield similar translational diffusion coefficients (in the range 5–10 × 10−12 m2/s at 40–60 °C and 8–10 MPa). Swollen PDLLA was found to be homogeneous on the nanometer scale, although the TEMPONE spin probe in the polymer exhibited higher rotational mobility (τcorr = 6 × 10−11 s) than expected, based on its Dtr. To measure distribution coefficients of the solute between the swollen polymer and the supercritical medium, supercritical chromatography with sampling directly from the high-pressure vessel was used. A distinct difference between powder and bulk polymer samples was only observed at the start of the impregnation process.

Graphical Abstract

1. Introduction

Since pioneering reports by Berens [1] and Sand [2], the impregnation of polymers using supercritical fluids (SCFs) has remained of great interest in many applications, such as the loading of biocompatible materials with drugs [3,4,5] and food packaging materials with antioxidants, antimicrobials, etc. [6,7]; supercritical polymer dyeing [8,9,10,11,12,13]; fabrication of nanocomposites [14,15,16,17]; and polymer blends [18,19,20], just to name a few. SCFs make these approaches to polymer modification efficient and environmentally friendly. One of the most “green” supercritical media that is compatible with biomedical and food applications is carbon dioxide. It is broadly used due to its remarkable miscibility with a large number of polymers [21] and a high solvating capacity in the supercritical state. Supercritical CO2 (scCO2) has been shown to plasticize polymers by increasing their fractional free volume and decreasing intermolecular interaction energy [22]. Due to this effect, the diffusion of additives into the polymer bulk proceeds faster [1,12], and leads to their uniform distribution in a matrix [23,24].
For technological applications, it is important to predict the amount of an impregnated substance and its distribution in a polymer. Therefore, a solute diffusion rate in the swollen polymer matrix and its distribution coefficient between the SCF medium and the polymer are needed for this to be known. Under normal conditions, the diffusion rate of a solute in a medium such as solvent-swollen polymers or porous materials soaked with a solvent is measured using different methods, such as the diffusion (diaphragm) cell and infinite cylinder/semi-infinite slab methods (with either uptake measurement or sectioning/imaging to obtain the concentration profile) [25], electrochemical methods [26], NMR methods (Pulsed Field Gradient NMR, NMR imaging, etc.) [27,28], EPR methods (concentration broadening measurement, EPR imaging) [29,30], IR and Raman spectroscopy/microscopy [31,32,33,34], FRAP technique [25], forced Rayleigh scattering [35,36], and so on. All these methods have advantages and disadvantages in terms of required time and effort, sample opacity, need for special molecular probes, cost, and availability of the equipment. The use of a supercritical medium as a solvent further complicates these measurements: either specialized equipment is needed to carry in situ measurements under high pressure, or the sample should be removed from the supercritical medium to carry ex situ measurements under ambient conditions. Most often, the amount and distribution of the solute are evaluated ex situ by conventional spectroscopic methods [12,23,31,37] or gravimetrically [38]. However, those ex situ methods are quite laborious as every experimental point needs its distinct supercritical experiment, while the depressurization step, which precedes such measurements, can dramatically influence the properties of the resulting material [39] and contribute to the removal of the solute from polymer due to the convective mechanism [40,41]. Therefore, to save time and materials, it is desirable to follow the impregnation process directly under supercritical conditions.
In situ infrared spectroscopy in transmission [4], or ATR mode [42], has been widely used to study the impregnation kinetics and probe the molecular state of the impregnated substance (dispersed vs aggregated, hydrogen bonding to the polymer) [42,43,44]. In addition to IR spectroscopy, in situ UV/Vis spectroscopy has been proposed to characterize polymer impregnation with dyes [11,45]. Raman spectroscopy has been used to study the diffusion of ethanol in aerogels during supercritical drying [34], and is also able to characterize the state of the solute resolved in space. High-pressure NMR imaging and forced Rayleigh scattering were also used to measure tracer diffusivities in CO2 plasticized polymers [28,46].
Electron paramagnetic resonance (EPR) spectroscopy is similar to nuclear magnetic resonance (NMR) spectroscopy, but detects compounds containing unpaired electrons such as radicals or transition metal complexes. Most substances are EPR-silent; hence, the EPR, or rather spin-probe EPR, approach is suitable and frequently used to evaluate the microstructure and dynamics of polymers [47] by tracking the paramagnetic probe inside the matrix of interest. Surprisingly, EPR has never been used to evaluate the transport properties of swollen polymers and porous materials in SCFs. Moreover, EPR has hardly ever been used for studying polymer/SCF systems [48,49]. The spin-probe EPR approach tracks paramagnetic probe molecules, which are usually stable nitroxide radicals or transition metal complexes. Even though the need for spin probes can be considered a significant drawback, on the other hand EPR is extremely sensitive to the microenvironment and dynamics of the radical technique and most materials are completely transparent to it, while quantitative radical amount measurements are achieved through spectrum double integration. EPR makes it possible to evaluate the mobility of a probe on multiple spatial scales [50]: rotational mobility is readily obtained from the shape of the EPR spectrum, molecular-scale translational mobility (<10 nm path) can be obtained by exchange interaction rate measurement, and, finally, EPR imaging and probe uptake measurement deliver macroscopic diffusivity. High-pressure/in situ EPR spectroscopy uses equipment similar to that of high-pressure NMR [51], and has been used so far to evaluate density enhancement and exchange reactions in SCFs [52,53,54,55,56,57], clustering of the solute in SCFs [58,59,60,61,62], microemulsion formation [63,64], and glass transition pressure in polylactide and polylactide-co-glycolide subjected to subcritical CO2 [48]. In addition, it has been reported that the mobility of spin probes can reflect the distribution of free volume in polymers plasticized by subcritical CO2, similar to a conventional plasticizer [49].
Commonly used nitroxide spin-probes are soluble to a necessary extent in SCFs such as scCO2 [54], and easily penetrate many polymers from SCFs [24,65,66,67,68]. This makes it possible to study the transport properties of polymers swollen in SCFs using high-pressure EPR, while, to the best of our knowledge, this method has been used so far to characterize systems in equilibrium only. We believe that this approach can be particularly useful for studying the kinetics of impregnation: the amount of impregnated spin probe, its local concentration, and the microstructure of its surroundings can be tracked simultaneously.
Obtaining the distribution coefficients of a solute between the supercritical medium and swollen or soaked phase is a crucial step to employ in situ diffusivity measurements. Unfortunately, the EPR technique is not particularly well suited for this purpose due to the sample geometry. Indeed, a common EPR tube requires a narrow and relatively long sample, which is quite unfavorable in terms of the time required to achieve equilibrium in an in situ experiment, while the drawbacks of the ex situ EPR measurements after a continuous impregnation are obvious. For that reason, we adopted a method to quantitatively analyze the concentration of a substance dissolved in the supercritical phase directly, using supercritical chromatography. The minimization of the sampling effect on equilibrium is usually achieved by eliminating dead zones, extracting the minimum amount of the medium using multiport valves with dosing loops [69], and increasing the volume of the autoclave, which also allows the use of more favorable polymer sample geometries, e.g., larger surfaces and smaller diffusion paths. A supercritical medium sample is transferred into a form that is suitable for analysis, for example, into a solution in a liquid solvent for subsequent spectrophotometry [70] or, as shown in [71], the analysis is carried out without depressurizing the sample directly in the form of a supercritical fluid with the application of supercritical fluid chromatography. The latter option is especially convenient due to the absence of an additional stage of sample preparation, which reduces time costs and the probability of error introduction. In addition, direct quantitative analysis of the supercritical phase using UV and IR transmission spectrometry, using high-pressure cells with optically transparent windows or optic fibers, is possible [72,73,74]. Supercritical chromatography still has an advantage over these approaches, and the in situ gravimetric approach, as it allows for the simultaneous measurement of different compound concentrations in a single experiment.
Herein we apply supercritical chromatography to obtain a distribution coefficient, and in situ EPR spectroscopy to study the kinetics of supercritical fluid impregnation of a poly(D,L-lactide) swollen in supercritical CO2. Poly(D,L-lactide) was chosen as a model system because polylactides and their co-polymers constitute an important class of biodegradable polymers for tissue engineering and drug delivery that can be impregnated with desired additives using SCFs [75,76,77,78]. We propose a possible mechanism by analyzing the kinetic data in combination with the molecular motion and local concentration of a nitroxide spin probe.

2. Materials and Methods

2.1. Materials

Nitroxide radical TEMPONE (4-oxo-2,2,6,6-tetramethylpiperidine-N-oxyl; 97% purity, Sigma Aldrich) was used as received. Poly(D,L-lactide) PURASORB® PDL04 (Purac Biochem, Gorinchem, Netherlands) with inherent viscosity 0.4 g/dL and Tg = 56 °C was mechanically powdered. Chemically pure carbon dioxide (99.998% grade, NIIKM Ltd., Moscow, Russia), acetone (>98%, Moscow, Chimmed, Russia), ethanol (~95%, Moscow, Ferein), and methanol (HPLC gradient grade, Moscow, Chimmed, Russia) were used as received.

2.2. Measurement of Equilibrium Distribution between Polymer and scCO2 Using Supercritical Chromatography

The distribution coefficient of TEMPONE between the scCO2 and polymer measurement was carried out using a custom-built system, described in [79], which included a high-pressure autoclave (stainless steel, total internal volume 150 mL, effective volume 143 mL, Figure 1), a sampling device (6-port valve Valco C6W equipped with a 10 µL dosing loop, VICI AG International, Schenkon, Switzerland), and a supercritical fluid chromatograph (Acquity UPC2 with a diode array spectrophotometric detector, Waters, Milford, MA, USA). General principles are described in [80,81].
A weighted amount of TEMPONE (typically 10–15 mg) and a vial with a PDLLA sample (typically ~100 mg) were placed in the autoclave. The autoclave was then sealed, heated, and filled (Supercritical-24 pump, Teledyne-SSI, State College, PA, USA) with CO2 to the desired temperature and pressure. Under the considered conditions, swollen PDLLA liquefied and formed a thin film at the bottom of the vial, leading to relatively fast equilibration of TEMPONE concentrations in the scCO2 and the polymer phase. The impregnation of the polymer was continued for at least 2 h, and no significant changes in TEMPONE concentration were observed afterward. Next, chromatographic analysis of the supercritical phase was carried out. The medium from the autoclave was fed to the dosing loop through the 2 um inline filter (Waters, Milford, MA, USA), and all sampling parts were thermostated by a Termex M02 (Termex, Moscow, Russia) thermostat. The chromatographic column Luna C18-2 150 × 4.6 mm (Phenomenex, Torrance, CA, USA) was used. The composition of the mobile phase was 0.5% vol. methanol in CO2, the column temperature was 35 °C, and the backpressure was 120 bar. The quantitative analysis of the TEMPONE content in the supercritical phase was carried out according to a preliminarily obtained calibration curve. The calibration curve was obtained for up to ~23 mg loads of TEMPONE (corresponding to ~9.5 × 10−4 M) and remained linear. Hence, TEMPONE solutions in scCO2 were not saturated in all performed experiments. Thorough thermostating of all parts of the setup was found to be crucial to obtain a unique calibration curve for different temperatures. Although the content of TEMPONE in the supercritical phase was sufficient to calculate the distribution coefficient, we additionally measured the content of TEMPONE in PDLLA using EPR after the autoclave was depressurized. Both approaches led to, essentially, the same distribution coefficients. No signs of molecular aggregation of TEMPONE were found in the EPR spectra of the PDLLA samples.

2.3. Measurement of Polymer Impregnation Kinetics Using EPR Spectroscopy

The Electron paramagnetic resonance (EPR) measurements were carried out using a high-pressure system, previously described in detail [51,82,83]. The system consists of a custom-made polyetheretherketone (PEEK brand ZX-324, ‘Wolf-Kunststoff-Gleitlager GmbH’, Kerpen, Germany) tube (dinner = 1.6 mm) with a stainless steel head (Vinner = 1.6 cm3), connected by a stainless steel capillary (inner diameter 0.8 mm) and high-pressure valves (‘Hy-Lok’, Busan, Republic of Korea) to an auxiliary vessel (Vinner = 49.2 cm3) (Figure 2). The head is mounted on the standard resonator of an X-band EPR spectrometer using a custom-made plastic holder allowing for a highly reproducible positioning of the sample in the resonator. The head and the auxiliary vessel were equipped with heating elements and PID controllers, while the tube temperature was maintained at the desired temperature by the standard temperature control system of the EPR spectrometer.
A weighted PDLLA sample (1–10 mg) either was used as a powder, or was bulk-cast in a glass capillary (dinner = 1.1 mm), and was placed in the PEEK tube. A total of 50 μL of 0.2 M solution of TEMPONE in ethanol was added to the auxiliary vessel. The system was then evacuated, filled with CO2 at ~1 MPa, and evacuated again. The procedure was repeated several times to remove traces of oxygen and ethanol. Then, the valve between the auxiliary vessel and the tube was sealed, and the auxiliary vessel was heated to the desired temperature (313–333 K) and filled with CO2 (8.1–10.0 MPa); the pressures were taken from the NIST Chemistry WebBook database [84,85] so that the density of scCO2 remained constant (289.9 kg/m3). The auxiliary vessel was equilibrated for at least 30 min to ensure complete dissolution of TEMPONE in scCO2. Then, the system was transferred to the EPR spectrometer, the PEEK tube was equilibrated at the desired temperature, and the TEMPONE/scCO2 solution was let into the PEEK tube from the auxiliary vessel. TEMPONE was left to diffuse into PDLLA from scCO2 for 5 h, EPR spectra were recorded to obtain the number of TEMPONE radicals in the polymer during PDLLA impregnation.
EPR spectra were recorded using the Bruker EMX-500 spectrometer at temperatures of 313–333 K (set by a nitrogen flow and controlled with accuracy ± 1 K). The microwave radiation power was kept at 0.63 mW to avoid saturation, and the modulation amplitude was 0.5 G. The absolute number of paramagnetic particles was calculated by double integration of the EPR spectra. The resonator sensitivity profile over the tube was measured separately and accounted for. The concentration of TEMPONE in scCO2 (1.1 × 10−4 M) was determined from a calibration curve that was obtained in the same tube using standard solutions of TEMPONE in toluene.
PDLLA swells in scCO2 and forms a homogeneous polymer column at the bottom of the tube. Further, we can assume that the diffusion of the CO2 in PDLLA and the swelling of PDLLA are orders of magnitude faster than TEMPONE diffusion in swollen PDLLA [86,87,88], and we can suppose the areas achieved by the probe to be completely swollen. The diffusion of TEMPONE in PDLLA hence could be described as non-stationary one-component diffusion into a plane sheet from a medium with constant solute concentration. Mass balance of TEMPONE is, hence, described by [89]:
N t = N i n f ( 1 8 π 2 n = 0 1 ( 2 n + 1 ) 2 e D ( 2 n + 1 ) 2 π 2 t 4 l 2 )
where Nt is the number of TEMPONE radicals in the plane sheet at the moment t, Ninf is the number of TEMPONE radicals in the saturated with the spin probe plane sheet, D is the diffusion coefficient of the TEMPONE in swollen PDLLA, and l is the thickness of the plane sheet, which is the height of the swollen polymer column in our case. For relatively small times, the t Equation (1) is reduced to [89]:
N t = 2 N i n f D t π l 2
We will rewrite Equation (2) in the form:
N t l π 2 N i n f = D t
The number of TEMPONE radicals at saturation limit was calculated using distribution coefficients as follows:
N i n f = K C S C F V P D L L A N A
where K is the distribution coefficient of TEMPONE between polymer and scCO2, CSCF is the concentration of the spin probe in scCO2, VPDLLA is the volume of the swollen polymer, and NA is the Avogadro constant. Diffusion coefficient D was then extracted from experimental TEMPONE uptake kinetics using the least-squares fitting with Equation (3).

2.4. Measurement of Concentration Broadening of EPR Spectra

We placed the samples of PDLLA uniformly impregnated with the TEMPONE spin probe (produced as described in Section 2.2) in the TEMPONE/scCO2 solution in the PEEK tube and obtained broadened EPR spectra of TEMPONE solutions in swollen PDLLA with concentrations of 8.9 × 10−2 M (1.5 wt%) and 1.6 × 10−1 M (2.9 wt%). The broadening is given by:
B p p = B p p ( C + C 0 ) B p p ( C 0 )
with Bpp(C0) being the peak-to-peak linewidth of the EPR spectra of the infinitely diluted solution. There are two sources of concentration broadening: one is the dipole–dipole interaction, with the spins of the neighboring radicals, and the other is the Heisenberg spin exchange, due to the collisions of radicals. To the best of our knowledge, there is no analytical solution to the problem of distinguishing these two contributions in common use. The procedure to split the broadening into individual contributions proposed by Freed et al. [90] is not applicable here, due to the significant change of the PDLLA/scCO2 system properties with temperature and pressure [87]. However, it is known that the dipole–dipole contribution is averaged out at elevated temperatures, given the rotational correlation time is small enough [50,91]. Hence, we attributed the whole concentration broadening to the exchange interaction. Next, the spin-exchange rate constant is given by:
k e = 3 | γ e | B e x c h a n g e 2 ( 1 p ) C
where |γe| is the gyromagnetic ratio, and p is the fractional degeneracy of the spectral transition (1/3 for 14N nuclei). On the other hand, ke can be expressed with diffusion coefficient D using the Einstein–Smoluchowski equation:
k e = 16 f π r D
where r is the radius of the paramagnetic particle, and ƒ is the steric factor. Here we stick to the values of r and ƒ derived by Freed et al. [90] (r = 6.4Å, ƒ = 0.678), of which a discussion can be found elsewhere [50]. EPR spectra of TEMPONE in PDLLA at 313–333 K were simulated using EasySpin [92]. The rotational motion of the TEMPONE molecules in swollen PDLLA was accounted for by a single rotational correlation time (τcorr) for each temperature.

3. Results and Discussion

3.1. TEMPONE Uptake Measurement

The TEMPONE nitroxide radical is readily absorbed by PDLLA upon exposure of the polymer to the solution of the nitroxide radical in scCO2. The manifestation of this process is the appearance of the EPR spectra with relatively narrow components (0.08 mT). The EPR spectra of TEMPONE in PDLLA swollen in scCO2 (PDLLA/scCO2) at 40–60 °C (Figure 3) are typical EPR spectra of nitroxide radicals in a viscous solution. The local mobility of the spin probe is readily available in the form of the rotational correlation time (τcorr, Table 1). The τcorr of TEMPONE in PDLLA/scCO2 is larger than the τcorr of TEMPONE in scCO2 (which is lower than the detectable minimum), resembles that of TEMPONE in water-glycerol mixtures, and is smaller than that of TEMPONE in pure glycerol solutions [93] (smaller τcorr means higher local mobility). This means that microviscosity in glycerol > microviscosity in scCO2-swollen PDLLA = 1:1 water-glycerol mixture > microviscosity in scCO2. TEMPONE 14N hyperfine coupling (HFC) in swollen PDLLA (14.7 G) is slightly larger than TEMPONE 14N HFC in scCO2 (14.4 G), indicating a slightly higher local polarity in the swollen polymer than in the supercritical medium.
The amount of the spin probe in the polymer responsible for the narrow EPR spectra started to grow linearly with respect to t1/2 after approximately 15 min from the beginning of the experiment (Figure 4). This type of time dependence is typical for Fickian diffusion. The only values needed to bring the spin content of PDLLA during the impregnation to the form from Equation (3), that are not measured directly during the EPR experiment, were the distribution coefficients of TEMPONE between swollen polymer and supercritical medium. Hypothetically, those could also be measured during the EPR experiment given that the polymer reached a substantial degree of saturation with the spin probe. Though this would require either a significantly extended impregnation time or a significantly reduced polymer sample thickness. The former leads to an unreasonably long EPR experiment at elevated temperatures, and the latter requires a vanishingly small amount of polymer to be used, as EPR sample dimensions are severely restricted. Alternatively, outside the EPR cavity, one can use larger reactors and allow a substantial amount of PDLLA swollen by scCO2 to spread into a very thin layer and, thereby, reduce the time needed to perform the experiment. We used supercritical chromatography to analyze the TEMPONE content of the supercritical medium after the polymer was saturated with the spin probe. The measured distribution coefficients (K) are given in Table 1. The corresponding TEMPONE translational diffusion coefficients in the swollen PDLLA obtained from nitroxide uptake time dependence (Duptake) are also given in Table 1. Notably, diffusion coefficient values at 50 °C and 60 °C are similar. We assume that there are two opposing trends: on the one hand, the molecular mobility increases as the temperature rises; on the other hand, the mass fraction of a solvent in a polymer might decrease in isochoric conditions, resulting in a more viscous polymer medium. To support this assumption, we used the Sanchez–Lacombe equation of state (SLEOS) [94,95,96,97] given by:
ρ ˜ 2 + P ˜ + T ˜ [ ln ( 1 ρ ˜ ) + ( 1 1 r ) ρ ˜ ] = 0
where reduced density, pressure, temperature, and the number of lattice sites occupied by a molecule are given by:
ρ ˜ =   ρ ρ * ,   P ˜ = P P * ,   T ˜ = T T * ,   r = M ρ * v *
where ρ *, P*, T*, and v * are characteristic density, pressure, temperature, and volume. M is the molecular weight. If applied to a binary system, the mixing rules for the characteristic parameters can be found elsewhere [96,97]. To estimate CO2 mass fraction in swollen PDLLA under the conditions used in the present paper, the PDLLA parameters of the SLEOS equation are taken from Liu and Tomasko [86] (Table 2). The calculated solvent mass fraction sharply decreases from 26 wt% at 40 °C to 19 wt% at 60 °C, which is why the diffusion coefficient values are not changed significantly.
The first segment of the TEMPONE uptake curves is essentially nonlinear in Fickian coordinates (Figure 4). We attribute this deviation to sorption and convective transport of the spin probe within the flow of CO2 during the initial swelling of the polymer. Indeed, there is a dramatic difference between TEMPONE uptake curves for different initial forms of the PDLLA samples (Figure 5). The powder PDLLA sample rapidly accumulates TEMPONE during the initial stage of polymer swelling, and the local concentration of the nitroxide radical in the polymer noticeably grows, as illustrated by the increase of the EPR linewidth, which is not typical for Fickian diffusion. On the other hand, the bulk glassy PDLLA sample shows very little uptake of TEMPONE during polymer swelling, with no local concentration increase. After PDLLA swelled and liquefied rapidly [86,87,88], the slopes of the uptake curves became equal for both types of polymer samples.

3.2. TEMPONE EPR Concentration Broadening Measurement

The peak-to-peak linewidth (Bpp) of EPR spectra components of the TEMPONE spin probe during PDLLA impregnation experiments did not depend on conditions and equaled to 0.08 mT (Figure 3). The concentration of TEMPONE in PDLLA during impregnation was always, on average, lower than 10−2 M. At higher concentrations, Bpp grows almost linearly, with respect to the concentration, due to collisions of nitroxide radicals leading to the spin-exchange reaction [30] and possibly dipole–dipole interaction (Figure 6). Relying on quite low rotational correlation times (Table 1) and, hence, high local mobility, the whole concentration broadening of the EPR spectra was supposed to originate from the spin exchange reaction while dipole–dipole interaction contribution was supposed to average out. The possibility of the additional plasticization of PDLLA by higher concentrations of TEMPONE was not taken into account.
ΔBppC (Equation (5)) temperature dependence (Figure 7) exhibits the same trend as those observed in Duptake and τcorr: spin probe rotational and translational mobility grows from 35 °C up to 50 °C, while from 50 °C to 65 °C it is maintained at the same level. This behavior does not fit the simple Arrhenius trend and is most likely due to a significant decrease of PDLLA swelling with temperature in accordance with our Sanchez–Lacombe equation of state calculations.
Combining Equations (6) and (7), we calculated the translational diffusion coefficients of TEMPONE in PDLLA/scCO2 from the ΔBppC data. The obtained values (Dlwpp, Table 1, where lwpp stands for peak-to-peak linewidth) are in agreement with Duptake; hence, the impact of recollisions [99] does not seem to lead to overestimation of the translational diffusion rate. Furthermore, swollen PDLLA may be supposed to be rather homogenous on the macro- (> 1 μm path) and micro-scales (< 1 nm path), with no high-diffusivity paths and large pores, otherwise one would expect the diffusivity measured by line broadening to be higher than the diffusivity measured by solute uptake fitting. The absence of a mesoporous structure in the swollen PDLLA further follows from the absence of concentration dependence of diffusivities measured by spectrum line broadening [50]. In general transport properties of the swollen in scCO2 PDLLA resemble those of a viscous homogeneous liquid.
Even though prior knowledge of the distribution coefficients of TEMPONE between PDLLA and scCO2 is unnecessary to perform spectrum line broadening measurements, it is still desirable. Equilibration of the solute concentrations in supercritical medium and swollen polymer prevents the solute diffusion from the polymer, and hence guarantees uniform solute distribution with constant concentration over time, increasing thereby measurement accuracy. We should also note, that recent development by Salikhov et al. of a single spectrum-based exchange interaction rate measurement [100] can further facilitate estimation of the translational diffusion rate in similar systems and allow to eliminate the influence of the dipole–dipole interaction.

4. Conclusions

We applied established electron paramagnetic resonance (EPR) techniques and a relatively straightforward custom-built high-pressure setup, in conjunction with standard EPR equipment, to show the possibility of evaluating the transport properties of a polymer medium swollen in a supercritical fluid. Continuous-wave EPR allowed us to measure translational diffusion coefficients (Dtr) of a TEMPONE spin probe in PDLLA polymer swollen in supercritical CO2 using two approaches. The first approach measures macroscopic diffusivity. It exploits the ability of EPR spectroscopy to measure the total content of the spin probe in the sample, which is then fitted to the well-known solution of Fick’s equation for diffusion in a plane sheet from a medium with constant concentration. The second approach measures microscopic diffusivity (<10 nm). It is based on the concentration-dependent broadening of the EPR spectra of a spin probe in the swollen polymer sample. Both methods yield similar translational diffusion coefficients and similar temperature dependencies of Dtr (in the range 5−10 × 10−12 m2/s). The absence of the concentration dependence of the measured Dtr leads to a conclusion that swollen PDLLA lacks mesoporous or an otherwise inhomogeneous structure. On the other hand, the TEMPONE spin probe in the swollen PDLLA exhibits higher rotational mobility than is expected based on its Dtr. Furthermore, we were able to see the difference between the bulk sample and the powder sample impregnations: the former needs time to swell, and hence the start of the diffusion of the solute is retarded, while the latter readily gained a large amount of the solute presumably due to the convective transport mechanism during the polymer swelling. High-pressure EPR was found, hence, to reveal many interesting features of the transport processes in a swollen polymer under supercritical conditions. We should emphasize that the spin-probe high-pressure EPR technique is applicable to a wider range of objects than just swollen polymers. For example, protocols used to study the transport properties of porous materials, such as zeolites or aerogels, using conventional EPR [50,101] are easily transferred to high-pressure EPR.

Author Contributions

Conceptualization and methodology, O.O.P. and E.N.G.; software and formal analysis, O.I.G.; investigation, M.O.K., A.V.P., A.A.P. and O.I.G.; resources, N.V.M.; writing—original draft preparation, O.I.G., A.V.P. and M.O.K.; writing—review and editing, E.N.G. and O.O.P.; project administration, M.Y.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the Russian Foundation for Basic Research (Grant 18-29-06059), the Ministry of Science and Higher Education within the State assignment FSRC (Crystallography and Photonics) RAS in part of the development of the equipment for SCF technologies, and M.V. Lomonosov Moscow State University (state assignment No. АААА-А21-121011590090-7).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

This work was partially performed using MSU equipment, provided by the M.V. Lomonosov Moscow State University Program of Development. The Authors are grateful to A. Kh. Vorobiev and N.A. Chumakova for useful discussions.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Berens, A.R.; Huvard, G.S.; Korsmeyer, R.W.; Kunig, F.W. Application of compressed carbon dioxide in the incorporation of additives into polymers. J. Appl. Polym. Sci. 1992, 46, 231–242. [Google Scholar] [CrossRef]
  2. Sand, M.L. Method for Impregnating a Thermoplastic Polymer. EP0200197A3, 22 June 1986. [Google Scholar]
  3. Champeau, M.; Thomassin, J.-M.; Tassaing, T.; Jérôme, C. Drug loading of polymer implants by supercritical CO2 assisted impregnation: A review. J. Control. Release 2015, 209, 248–259. [Google Scholar] [CrossRef]
  4. Guney, O.; Akgerman, A. Synthesis of controlled-release products in supercritical medium. AIChE J. 2002, 48, 856–866. [Google Scholar] [CrossRef]
  5. Kankala, R.K.; Zhang, Y.S.; Wang, S.-B.; Lee, C.-H.; Chen, A.-Z. Supercritical Fluid Technology: An Emphasis on Drug Delivery and Related Biomedical Applications. Adv. Healthc. Mater. 2017, 6, 1700433. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Rojas, A.; Torres, A.; José Galotto, M.; Guarda, A.; Julio, R. Supercritical impregnation for food applications: A review of the effect of the operational variables on the active compound loading. Crit. Rev. Food Sci. Nutr. 2020, 60, 1290–1301. [Google Scholar] [CrossRef] [PubMed]
  7. Rojas, A.; Torres, A.; Añazco, A.; Villegas, C.; Galotto, M.J.; Guarda, A.; Romero, J. Effect of pressure and time on scCO2-assisted incorporation of thymol into LDPE-based nanocomposites for active food packaging. J. CO2 Util. 2018, 26, 434–444. [Google Scholar] [CrossRef]
  8. Saus, W.; Knittel, D.; Schollmeyer, E. Dyeing of Textiles in Supercritical Carbon Dioxide. Text. Res. J. 1993, 63, 135–142. [Google Scholar] [CrossRef]
  9. Bach, E.; Cleve, E.; Schollmeyer, E. Dyeing of poly(ethylene terephthalate) fibers in supercritical carbon dioxide. In Process Technology Proceedings; Elsevier: Amsterdam, The Netherlands, 1996; pp. 581–586. [Google Scholar]
  10. Kazarian, S.G.; Brantley, N.H.; West, B.L.; Vincent, M.F.; Eckert, C.A. In situ spectroscopy of polymers subjected to supercritical CO2: Plasticization and dye impregnation. Appl. Spectrosc. 1997, 51, 491–494. [Google Scholar] [CrossRef]
  11. Ngo, T.T.; Liotta, C.L.; Eckert, C.A.; Kazarian, S.G. Supercritical fluid impregnation of different azo-dyes into polymer: In situ UV/Vis spectroscopic study. J. Supercrit. Fluids 2003, 27, 215–221. [Google Scholar] [CrossRef]
  12. Sicardi, S.; Manna, L.; Banchero, M. Comparison of dye diffusion in poly(ethylene terephthalate) films in the presence of a supercritical or aqueous solvent. Ind. Eng. Chem. Res. 2000, 39, 4707–4713. [Google Scholar] [CrossRef]
  13. Banchero, M. Recent advances in supercritical fluid dyeing. Color. Technol. 2020, 136, 317–335. [Google Scholar] [CrossRef]
  14. Rosolovsky, J.; Boggess, R.K.; Rubira, A.F.; Taylor, L.T.; Stoakley, D.M.; St. Clair, A.K. Supercritical fluid infusion of silver into polyimide films of varying chemical composition. J. Mater. Res. 1997, 12, 3127–3133. [Google Scholar] [CrossRef]
  15. Boggess, R.K.; Taylor, L.T.; Stoakley, D.M.; St. Clair, A.K. Highly reflective polyimide films created by supercritical fluid infusion of a silver additive. J. Appl. Polym. Sci. 1997, 64, 1309–1317. [Google Scholar] [CrossRef]
  16. Watkins, J.J.; McCarthy, T.J. Polymer/Metal Nanocomposite Synthesis in Supercritical CO2. Chem. Mater. 1995, 7, 1991–1994. [Google Scholar] [CrossRef]
  17. Siril, P.F.; Türk, M. Synthesis of Metal Nanostructures Using Supercritical Carbon Dioxide: A Green and Upscalable Process. Small 2020, 16, 2001972. [Google Scholar] [CrossRef]
  18. Watkins, J.J.; McCarthy, T.J. Polymerization in Supercritical Fluid-Swollen Polymers: A New Route to Polymer Blends. Macromolecules 1994, 27, 4845–4847. [Google Scholar] [CrossRef]
  19. Kung, E.; Lesser, A.J.; McCarthy, T.J. Morphology and Mechanical Performance of Polystyrene/Polyethylene Composites Prepared in Supercritical Carbon Dioxide. Macromolecules 1998, 31, 4160–4169. [Google Scholar] [CrossRef]
  20. Cooper, A.I. Polymer synthesis and processing using supercritical carbon dioxide. J. Mater. Chem. 2000, 10, 207–234. [Google Scholar] [CrossRef]
  21. Girard, E.; Tassaing, T.; Marty, J.D.; Destarac, M. Structure-Property Relationships in CO2-philic (Co)polymers: Phase Behavior, Self-Assembly, and Stabilization of Water/CO2 Emulsions. Chem. Rev. 2016, 116, 4125–4169. [Google Scholar] [CrossRef]
  22. Tomasko, D.L.; Li, H.; Liu, D.; Han, X.; Wingert, M.J.; Lee, L.J.; Koelling, K.W. A Review of CO2 Applications in the Processing of Polymers. Ind. Eng. Chem. Res. 2003, 42, 6431–6456. [Google Scholar] [CrossRef]
  23. Wang, Y.; Yang, C.; Tomasko, D. Confocal microscopy analysis of supercritical fluid impregnation of polypropylene. Ind. Eng. Chem. Res. 2002, 41, 1780–1786. [Google Scholar] [CrossRef]
  24. Chumakova, N.A.; Golubeva, E.N.; Ivanova, T.A.; Vorobieva, N.N.; Timashev, P.S.; Bagratashvili, V.N. EPR Diagnostics of D,L-Polylactide Porous Matrices Formed in Supercritical CO2. Russ. J. Phys. Chem. B 2018, 12, 1255–1260. [Google Scholar] [CrossRef]
  25. Westrin, B.A.; Axelsson, A.; Zacchi, G. Diffusion measurement in gels. J. Control. Release 1994, 30, 189–199. [Google Scholar] [CrossRef]
  26. Zoski, C.G. (Ed.) Handbook of Electrochemistry; Elsevier: Amsterdam, The Netherlands, 2007; ISBN 9780444519580. [Google Scholar]
  27. Price, W.S. NMR Studies of Translational Motion; Cambridge University Press: Cambridge, UK, 2009; ISBN 9780511770487. [Google Scholar]
  28. Thurecht, K.J.; Hill, D.J.T.; Whittaker, A.K. NMR Microscopy: A Tool for Measuring Monomer Diffusion in Supercritical CO2. Macromol. Chem. Phys. 2006, 207, 1539–1545. [Google Scholar] [CrossRef]
  29. Hornak, J.P.; Moscicki, J.K.; Schneider, D.J.; Freed, J.H. Diffusion coefficients in anisotropic fluids by ESR imaging of concentration profiles. J. Chem. Phys. 1986, 84, 3387–3395. [Google Scholar] [CrossRef]
  30. Molin, Y.N.; Salikhov, K.M.; Zamaraev, K.I. Spin Exchange; Springer: Berlin/Heidelberg, Germany, 1980; ISBN 978-3-642-67668-0. [Google Scholar]
  31. Fleming, O.S.; Stepanek, F.; Kazarian, S.G. Dye diffusion in polymer films subjected to supercritical CO2: Confocal raman microscopy and modelling. Macromol. Chem. Phys. 2005, 206, 1077–1083. [Google Scholar] [CrossRef]
  32. Fleming, O.S.; Kazarian, S.G.; Bach, E.; Schollmeyer, E. Confocal Raman study of poly(ethylene terephthalate) fibres dyed in supercritical carbon dioxide: Dye diffusion and polymer morphology. Polymer 2005, 46, 2943–2949. [Google Scholar] [CrossRef]
  33. Naddaf, A.A.; Bart, H.J. Raman Spectroscopy: Mutual Diffusion Coefficient in Hydrogels. Defect Diffus. Forum 2011, 312–315, 193–198. [Google Scholar] [CrossRef]
  34. Dirauf, M.P.; Hajnal, A.; Gurikov, P.; Braeuer, A.S. Protein gel shrinkage during solvent exchange: Quantification of gel compaction, mass transfer and compressive strength. Food Hydrocoll. 2021, 120, 106916. [Google Scholar] [CrossRef]
  35. Huang, W.J.; Frick, T.S.; Landry, M.R.; Lee, J.A.; Lodge, T.P.; Tirrell, M. Tracer diffusion measurement in polymer solutions near the glass transition by forced rayleigh scattering. AIChE J. 1987, 33, 573–582. [Google Scholar] [CrossRef]
  36. Ehlich, D.; Sillescu, H. Tracer diffusion at the glass transition. Macromolecules 1990, 23, 1600–1610. [Google Scholar] [CrossRef]
  37. Sicardi, S.; Manna, L.; Banchero, M. Diffusion of disperse dyes in PET films during impregnation with a supercritical fluid. J. Supercrit. Fluids 2000, 17, 187–194. [Google Scholar] [CrossRef]
  38. von Schnitzler, J.; Eggers, R. Mass transfer in polymers in a supercritical CO2-atmosphere. J. Supercrit. Fluids 1999, 16, 81–92. [Google Scholar] [CrossRef]
  39. Champeau, M.; Coutinho, I.T.; Thomassin, J.M.; Tassaing, T.; Jérôme, C. Tuning the release profile of ketoprofen from poly(L-lactic acid) suture using supercritical CO2 impregnation process. J. Drug Deliv. Sci. Technol. 2020, 55, 101468. [Google Scholar] [CrossRef]
  40. Alsoy, S.; Duda, J.L. Supercritical devolatilization of polymers. AIChE J. 1998, 44, 582–590. [Google Scholar] [CrossRef]
  41. Alsoy, S.; Duda, J.L. Processing of Polymers with Supercritical Fluids. Chem. Eng. Technol. 1999, 22, 971. [Google Scholar] [CrossRef]
  42. Kazarian, S.G.; Martirosyan, G.G. Spectroscopy of polymer/drug formulations processed with supercritical fluids: In situ ATR-IR and Raman study of impregnation of ibuprofen into PVP. Int. J. Pharm. 2002, 232, 81–90. [Google Scholar] [CrossRef]
  43. Vincent, M.F.; Kazarian, S.G.; Eckert, C.A. “ Tunable ” Diffusion of D2O in CO2-Swollen Poly(Methyl Methacrylate) Films. J. Supercrit. Fluids 1997, 49, 127–135. [Google Scholar] [CrossRef]
  44. Champeau, M.; Thomassin, J.M.; Jérôme, C.; Tassaing, T. In situ investigation of supercritical CO2 assisted impregnation of drugs into a polymer by high pressure FTIR micro-spectroscopy. Analyst 2015, 140, 869–879. [Google Scholar] [CrossRef]
  45. Kazarian, S.G.; Vincent, M.F.; West, B.L.; Eckert, C.A. Partitioning of solutes and cosolvents between supercritical CO2 and polymer phases. J. Supercrit. Fluids 1998, 13, 107–112. [Google Scholar] [CrossRef]
  46. Chapman, B.R.; Gochanour, C.R.; Paulaitis, M.E. CO2-Enhanced Diffusion of Azobenzene in Glassy Polystyrene near the Glass Transition. Macromolecules 1996, 29, 5635–5649. [Google Scholar] [CrossRef]
  47. Schlick, S. Advanced ESR Methods in Polymer Research; John Wiley & Sons, Inc.: Hoboken, NJ, USA, 2006; ISBN 9780471731894. [Google Scholar]
  48. Connon, C.S.; Falk, R.F.; Randolph, T.W. Role of Crystallinity in Retention of Polymer Particle Morphology in the Presence of Compressed Carbon Dioxide. Macromolecules 1999, 32, 1890–1896. [Google Scholar] [CrossRef]
  49. Harbron, E.J.; Bunyard, W.C.; Forbes, M.D.E. Electron paramagnetic resonance spin probe study of carbon dioxide-induced polymer plasticization. J. Polym. Sci. Part B Polym. Phys. 2005, 43, 2097–2108. [Google Scholar] [CrossRef]
  50. Wessig, M.; Spitzbarth, M.; Drescher, M.; Winter, R.; Polarz, S. Multiple scale investigation of molecular diffusion inside functionalized porous hosts using a combination of magnetic resonance methods. Phys. Chem. Chem. Phys. 2015, 17, 15976–15988. [Google Scholar] [CrossRef] [Green Version]
  51. Alekseev, E.S.; Alentiev, A.Y.; Belova, A.S.; Bogdan, V.I.; Bogdan, T.V.; Bystrova, A.V.; Gafarova, E.R.; Golubeva, E.N.; Grebenik, E.A.; Gromov, O.I.; et al. Supercritical fluids in chemistry. Russ. Chem. Rev. 2020, 89, 1337. [Google Scholar] [CrossRef]
  52. Ganapathy, S.; Carlier, C.; Randolph, T.W.; O’Brien, J.A. Influence of Local Structural Correlations on Free-Radical Reactions in Supercritical Fluids: A Hierarchical Approach. Ind. Eng. Chem. Res. 1996, 35, 19–27. [Google Scholar] [CrossRef]
  53. Carlier, C.; Randolph, T.W. Dense-gas solvent-solute clusters at near-infinite dilution: EPR spectroscopic evidence. AIChE J. 1993, 39, 876–884. [Google Scholar] [CrossRef]
  54. Tachikawa, T.; Akiyama, K.; Yokoyama, C.; Tero-Kubota, S. Local density effects on the hyperfine splitting constant and line width of TEMPO radical in gaseous and supercritical carbon dioxide. Chem. Phys. Lett. 2003, 376, 350–357. [Google Scholar] [CrossRef]
  55. deGrazia, J.L.; Randolph, T.W.; O’Brien, J.A. Rotational Relaxation in Supercritical Carbon Dioxide Revisited: A Study of Solute-Induced Local Density Augmentation. J. Phys. Chem. A 1998, 102, 1674–1681. [Google Scholar] [CrossRef]
  56. Batchelor, S.N. Free Radical Motion in Super Critical Fluids Probed by EPR Spectroscopy. J. Phys. Chem. B 1998, 102, 615–619. [Google Scholar] [CrossRef]
  57. Randolph, T.W.; Carlier, C. Free-radical reactions in supercritical ethane: A probe of supercritical fluid structure. J. Phys. Chem. 1992, 96, 5146–5151. [Google Scholar] [CrossRef]
  58. Trukhan, S.N.; Yudanov, V.F.; Mart’yanov, O.N. The effect of clustering of VO2+ ions in sub- and supercritical water. An in situ EPR study. Russ. J. Phys. Chem. B 2013, 7, 924–931. [Google Scholar] [CrossRef]
  59. Trukhan, S.N.; Yudanov, V.F.; Martyanov, O.N. Electron spin resonance of VO2+ radical-ion in sub- and supercritical water. J. Supercrit. Fluids 2011, 57, 247–250. [Google Scholar] [CrossRef]
  60. Randolph, T.W.; Clark, D.S.; Blanch, H.W.; Prausnitz, J.M. Cholesterol aggregation and interaction with cholesterol oxidase in supercritical carbon dioxide. Proc. Natl. Acad. Sci. USA 1988, 85, 2979–2983. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Randolph, T.W.; Clark, D.S.; Blanch, H.W.; Prausnitz, J.M. Enzymatic Oxidation of Cholesterol Aggregates in Supercritical Carbon Dioxide. Science 1988, 239, 387–390. [Google Scholar] [CrossRef]
  62. Miller, D.A.; Clark, D.S.; Blanch, H.W.; Prausnitz, J.M. Fatty acid aggregation in supercritical carbon dioxide. J. Supercrit. Fluids 1991, 4, 124–126. [Google Scholar] [CrossRef]
  63. Johnston, K.P.; Harrison, K.L.; Clarke, M.J.; Howdle, S.M.; Heitz, M.P.; Bright, F.V.; Carlier, C.; Randolph, T.W. Water-in-Carbon Dioxide Microemulsions: An Environment for Hydrophiles Including Proteins. Science 1996, 271, 624–626. [Google Scholar] [CrossRef]
  64. Heitz, M.P.; Carlier, C.; DeGrazia, J.; Harrison, K.L.; Johnston, K.P.; Randolph, T.W.; Bright, F. V Water Core within Perfluoropolyether-Based Microemulsions Formed in Supercritical Carbon Dioxide. J. Phys. Chem. B 1997, 101, 6707–6714. [Google Scholar] [CrossRef]
  65. Kopylov, A.S.; Radtsig, V.A.; Glagolev, N.N.; Solovieva, A.B.; Bagratashvili, V.N. SCF impregnation of polymer matrices with stable nitroxyl radicals. Russ. J. Phys. Chem. B 2015, 9, 998–1004. [Google Scholar] [CrossRef]
  66. Golubeva, E.N.; Gromov, O.I.; Chumakova, N.A.; Feklichev, E.D.; Mel’nikov, M.Y.; Bagratashvili, V.N. Impregnation of polymers with 2,2,6,6-tetramethyl-4-oxo-piperidine-1-oxyl (TEMPONE) paramagnetic probe in sub- and supercritical CO2. Russ. J. Phys. Chem. B 2016, 10, 1229–1236. [Google Scholar] [CrossRef]
  67. Golubeva, E.N.; Chumakova, N.A.; Kuzin, S.V.; Grigoriev, I.A.; Kalai, T.; Korotkevich, A.A.; Bogorodsky, S.E.; Krotova, L.I.; Popov, V.K.; Lunin, V.V. Paramagnetic bioactives encapsulated in poly(D,L-lactide) microparticules: Spatial distribution and in vitro release kinetics. J. Supercrit. Fluids 2020, 158, 104748. [Google Scholar] [CrossRef]
  68. Chumakova, N.A.; Golubeva, E.N.; Kuzin, S.V.; Ivanova, T.A.; Grigoriev, I.A.; Kostjuk, S.V.; Melnikov, M.Y. New Insight into the Mechanism of Drug Release from Poly(d,l-lactide) Film by Electron Paramagnetic Resonance. Polymers 2020, 12, 3046. [Google Scholar] [CrossRef]
  69. Peper, S.; Dohrn, R. Sampling from fluid mixtures under high pressure: Review, case study and evaluation. J. Supercrit. Fluids 2012, 66, 2–15. [Google Scholar] [CrossRef]
  70. Yamini, Y.; Bahramifar, N. Solubility of Polycyclic Aromatic Hydrocarbons in Supercritical Carbon Dioxide. J. Chem. Eng. Data 2000, 45, 53–56. [Google Scholar] [CrossRef]
  71. Li, B.; Guo, W.; Ramsey, E.D. Determining phenol partition coefficient values in water- and industrial process water-supercritical CO2 systems using direct aqueous SFE apparatus simultaneously interfaced with on-line SFC and on-line HPLC. J. Supercrit. Fluids 2019, 152, 104558. [Google Scholar] [CrossRef]
  72. Poliakoff, M.; Howdle, S.M.; Kazarian, S.G. Vibrational Spectroscopy in Supercritical Fluids: From Analysis and Hydrogen Bonding to Polymers and Synthesis. Angew. Chem. Int. Ed. Engl. 1995, 34, 1275–1295. [Google Scholar] [CrossRef]
  73. Suzuki, S.; Aoki, K.; Moribe, K.; Sako, T. Solubility measurement in supercritical CO2 with high pressure UV/VIS absorption spectroscopy. In Asian Pacific Confederation of Chemical Engineering Congress Program and Abstract; The Society of Chemical Engineers: Tokyo, Japan, 2004; p. 839. [Google Scholar]
  74. Carrott, M.J.; Wai, C.M. UV−Visible Spectroscopic Measurement of Solubilities in Supercritical CO2 Using High-Pressure Fiber-Optic Cells. Anal. Chem. 1998, 70, 2421–2425. [Google Scholar] [CrossRef]
  75. Stewart, S.; Domínguez-Robles, J.; Donnelly, R.; Larrañeta, E. Implantable Polymeric Drug Delivery Devices: Classification, Manufacture, Materials, and Clinical Applications. Polymers 2018, 10, 1379. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Scoponi, G.; Guzman-Puyol, S.; Caputo, G.; Ceseracciu, L.; Athanassiou, A.; Heredia-Guerrero, J.A. Highly biodegradable, ductile all-polylactide blends. Polymer (Guildf.) 2020, 193, 122371. [Google Scholar] [CrossRef]
  77. Ju, J.; Peng, X.; Huang, K.; Li, L.; Liu, X.; Chitrakar, C.; Chang, L.; Gu, Z.; Kuang, T. High-performance porous PLLA-based scaffolds for bone tissue engineering: Preparation, characterization, and in vitro and in vivo evaluation. Polymer (Guildf.) 2019, 180, 121707. [Google Scholar] [CrossRef]
  78. Mironov, A.V.; Mironova, O.A.; Syachina, M.A.; Popov, V.K. 3D printing of polylactic-co-glycolic acid fiber scaffolds using an antisolvent phase separation process. Polymer (Guildf.) 2019, 182, 121845. [Google Scholar] [CrossRef]
  79. Kostenko, M.O.; Ustinovich, K.B.; Pokrovskii, O.I. Online Monitoring of Adsorption onto Silica Xerogels and Aerogels from Supercritical Solutions Using Supercritical Fluid Chromatography. Russ. J. Inorg. Chem. 2020, 65, 1577–1584. [Google Scholar] [CrossRef]
  80. Johannsen, M.; Brunner, G. Solubilities of the xanthines caffeine, theophylline and theobromine in supercritical carbon dioxide. Fluid Phase Equilib. 1994, 95, 215–226. [Google Scholar] [CrossRef]
  81. Li, B.; Guo, W.; Song, W.; Ramsey, E.D. Determining the Solubility of Organic Compounds in Supercritical Carbon Dioxide Using Supercritical Fluid Chromatography Directly Interfaced to Supercritical Fluid Solubility Apparatus. J. Chem. Eng. Data 2016, 61, 2128–2134. [Google Scholar] [CrossRef]
  82. Minaev, N.V.; Gromov, O.I.; Golubeva, E.N.; Vorobiev, A.K.; Bagratashvili, V.N. High-Pressure Reactor for Registration of Electron Paramagnetic Resonance Spectra in Supercritical Carbon Dioxide. Prib. Tech. Exp. 2019, 62, 151–153. (In Russian) [Google Scholar] [CrossRef]
  83. Wallen, S.L.; Schoenbachler, L.K.; Dawson, E.D.; Blatchford, M.A. A Polymer NMR Cell for the Study of High-Pressure and Supercritical Fluid Solutions. Anal. Chem. 2000, 72, 4230–4234. [Google Scholar] [CrossRef]
  84. Lemmon, E.W.; McLinden, M.O.; Friend, D.G. Thermophysical Properties of Fluid Systems. In NIST Chemistry WebBook, NIST Standard Reference Database Number 69; Linstrom, P.J., Mallard, W.G., Eds.; National Institute of Standards and Technology: Gaithersburg, MD, USA, 2021. [Google Scholar]
  85. Span, R.; Wagner, W. A New Equation of State for Carbon Dioxide Covering the Fluid Region from the Triple-Point Temperature to 1100 K at Pressures up to 800 MPa. J. Phys. Chem. Ref. Data 1996, 25, 1509–1596. [Google Scholar] [CrossRef] [Green Version]
  86. Liu, D.; Tomasko, D.L. Carbon dioxide sorption and dilation of poly(lactide-co-glycolide). J. Supercrit. Fluids 2007, 39, 416–425. [Google Scholar] [CrossRef]
  87. Aionicesei, E.; Škerget, M.; Knez, Ž. Measurement of CO2 solubility and diffusivity in poly(l-lactide) and poly(d,l-lactide-co-glycolide) by magnetic suspension balance. J. Supercrit. Fluids 2008, 47, 296–301. [Google Scholar] [CrossRef]
  88. Milovanović, S.L.; Kuska, R.M.; Škorić-Lučić, M.L.; Kalagasidis-Krušić, M.T.; Frerich, S.; Žižović, I.T.; Ivanović, J.Z. Swelling kinetics and impregnation of PLA with thymol under supercritical CO2 conditions. Tehnika 2016, 71, 16–20. [Google Scholar] [CrossRef] [Green Version]
  89. Crank, J. The Mathematics of Diffusion; Oxford University Press: Oxford, UK, 1975; ISBN 0 19 853344 6. [Google Scholar]
  90. Nayeem, A.; Rananavare, S.B.; Sastry, V.S.S.; Freed, J.H. Heisenberg spin exchange and molecular diffusion in liquid crystals. J. Chem. Phys. 1989, 91, 6887–6905. [Google Scholar] [CrossRef]
  91. Mladenova, B.Y.; Chumakova, N.A.; Pergushov, V.I.; Kokorin, A.I.; Grampp, G.; Kattnig, D.R. Rotational and Translational Diffusion of Spin Probes in Room-Temperature Ionic Liquids. J. Phys. Chem. B 2012, 116, 12295–12305. [Google Scholar] [CrossRef] [PubMed]
  92. Stoll, S.; Schweiger, A. EasySpin, a comprehensive software package for spectral simulation and analysis in EPR. J. Magn. Reson. 2006, 178, 42–55. [Google Scholar] [CrossRef] [PubMed]
  93. Sato, H.; Bottle, S.E.; Blinco, J.P.; Micallef, A.S.; Eaton, G.R.; Eaton, S.S. Electron spin–lattice relaxation of nitroxyl radicals in temperature ranges that span glassy solutions to low-viscosity liquids. J. Magn. Reson. 2008, 191, 66–77. [Google Scholar] [CrossRef] [Green Version]
  94. Sanchez, I.C.; Lacombe, R.H. An elementary equation of state for polymer liquids. J. Polym. Sci. Polym. Lett. Ed. 1977, 15, 71–75. [Google Scholar] [CrossRef]
  95. Sanchez, I.C.; Lacombe, R.H. Statistical Thermodynamics of Polymer Solutions. Macromolecules 1978, 11, 1145–1156. [Google Scholar] [CrossRef] [Green Version]
  96. Kiran, E.; Xiong, Y.; Zhuang, W. Modeling polyethylene solutions in near and supercritical fluids using the sanchez-lacombe model. J. Supercrit. Fluids 1993, 6, 193–203. [Google Scholar] [CrossRef]
  97. Xiong, Y.; Kiran, E. Prediction of high-pressure phase behaviour in polyethylene/n-pentane/carbon dioxide ternary system with the Sanchez-Lacombe model. Polymer (Guildf.) 1994, 35, 4408–4415. [Google Scholar] [CrossRef]
  98. Sato, Y.; Yurugi, M.; Fujiwara, K.; Takishima, S.; Masuoka, H. Solubilities of carbon dioxide and nitrogen in polystyrene under high temperature and pressure. Fluid Phase Equilibria. 1996, 125, 129–138. [Google Scholar] [CrossRef]
  99. Kurban, M.R. A study of the relation between translational and rotational diffusion through measurement of molecular recollision. J. Chem. Phys. 2011, 134, 034503. [Google Scholar] [CrossRef] [PubMed]
  100. Salikhov, K.M. New Paradigm of Spin Exchange and its Manifestations in EPR Spectroscopy. Appl. Magn. Reson. 2020, 51, 297–325. [Google Scholar] [CrossRef]
  101. Spitzbarth, M.; Scherer, A.; Schachtschneider, A.; Imming, P.; Polarz, S.; Drescher, M. Time-, spectral- and spatially resolved EPR spectroscopy enables simultaneous monitoring of diffusion of different guest molecules in nano-pores. J. Magn. Reson. 2017, 283, 45–51. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Schematic representation of autoclave interior: 1—heating jacket, 2—magnetic stirrer bar, 3—vial support, 4—glass vial with perforated cap for polymer sample.
Figure 1. Schematic representation of autoclave interior: 1—heating jacket, 2—magnetic stirrer bar, 3—vial support, 4—glass vial with perforated cap for polymer sample.
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Figure 2. High-pressure setup for in situ EPR measurements.
Figure 2. High-pressure setup for in situ EPR measurements.
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Figure 3. EPR spectra of TEMPONE in PDLLA swollen in scCO2 after impregnation during 5 h at scCO2 density of 289.9 kg/m3, isochoric conditions.
Figure 3. EPR spectra of TEMPONE in PDLLA swollen in scCO2 after impregnation during 5 h at scCO2 density of 289.9 kg/m3, isochoric conditions.
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Figure 4. TEMPONE nitroxide radical normalized uptake by PDLLA swollen in scCO2 (density = 289.9 kg/m3, isochoric conditions) against the square root of time.
Figure 4. TEMPONE nitroxide radical normalized uptake by PDLLA swollen in scCO2 (density = 289.9 kg/m3, isochoric conditions) against the square root of time.
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Figure 5. TEMPONE nitroxide radical normalized uptake by PDLLA swollen in scCO2 (density = 289.9 kg/m3) against the square root of time at 40 °C and 8.1 MPa and TEMPONE EPR spectra line widths in powder and glassy PDLLA samples.
Figure 5. TEMPONE nitroxide radical normalized uptake by PDLLA swollen in scCO2 (density = 289.9 kg/m3) against the square root of time at 40 °C and 8.1 MPa and TEMPONE EPR spectra line widths in powder and glassy PDLLA samples.
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Figure 6. EPR spectra of TEMPONE in PDLLA swollen in scCO2 at 60 °C and 10.0 MPa (scCO2 density of 289.9 kg/m3).
Figure 6. EPR spectra of TEMPONE in PDLLA swollen in scCO2 at 60 °C and 10.0 MPa (scCO2 density of 289.9 kg/m3).
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Figure 7. Concentration broadening (divided by concentration) of TEMPONE in PDLLA/scCO2 EPR spectra as a function of temperature (scCO2 density = 289.9 kg/m3, isochoric conditions).
Figure 7. Concentration broadening (divided by concentration) of TEMPONE in PDLLA/scCO2 EPR spectra as a function of temperature (scCO2 density = 289.9 kg/m3, isochoric conditions).
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Table 1. Distribution coefficients (K) of TEMPONE between swollen PDLLA and scCO2 (density = 289.9 kg/m3); translational diffusion coefficients of TEMPONE nitroxide radical in PDLLA/scCO2 calculated from the uptake of TEMPONE by PDLLA time dependence (Duptake) and from concentration broadening of the EPR spectra of TEMPONE in PDLLA/scCO2 (Dlwpp); rotational correlation times (τcorr) and 14N hyperfine coupling constant (aiso) of TEMPONE in PDLLA/scCO2.
Table 1. Distribution coefficients (K) of TEMPONE between swollen PDLLA and scCO2 (density = 289.9 kg/m3); translational diffusion coefficients of TEMPONE nitroxide radical in PDLLA/scCO2 calculated from the uptake of TEMPONE by PDLLA time dependence (Duptake) and from concentration broadening of the EPR spectra of TEMPONE in PDLLA/scCO2 (Dlwpp); rotational correlation times (τcorr) and 14N hyperfine coupling constant (aiso) of TEMPONE in PDLLA/scCO2.
T °CKDuptake, m2/sDlwpp, m2/sτcorr, saiso, G
40520 ± 505 ± 2 × 10−127 ± 1 × 10−126.4 × 10−1114.7
50380 ± 8010 ± 3 × 10−128 ± 1 × 10−125.7 × 10−11
60280 ± 5010 ± 2 × 10−128 ± 1 × 10−125.5 × 10−11
Table 2. PDLLA and CO2 SLEOS characteristic parameters.
Table 2. PDLLA and CO2 SLEOS characteristic parameters.
SubstanceT* (K)P* (MPa)p* (kg/m3)
PDLLA [86]644.64516.721331.3
CO2 [98]269.5720.31580
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Gromov, O.I.; Kostenko, M.O.; Petrunin, A.V.; Popova, A.A.; Parenago, O.O.; Minaev, N.V.; Golubeva, E.N.; Melnikov, M.Y. Solute Diffusion into Polymer Swollen by Supercritical CO2 by High-Pressure Electron Paramagnetic Resonance Spectroscopy and Chromatography. Polymers 2021, 13, 3059. https://doi.org/10.3390/polym13183059

AMA Style

Gromov OI, Kostenko MO, Petrunin AV, Popova AA, Parenago OO, Minaev NV, Golubeva EN, Melnikov MY. Solute Diffusion into Polymer Swollen by Supercritical CO2 by High-Pressure Electron Paramagnetic Resonance Spectroscopy and Chromatography. Polymers. 2021; 13(18):3059. https://doi.org/10.3390/polym13183059

Chicago/Turabian Style

Gromov, Oleg I., Mikhail O. Kostenko, Alexander V. Petrunin, Anastasia A. Popova, Olga O. Parenago, Nikita V. Minaev, Elena N. Golubeva, and Mikhail Ya. Melnikov. 2021. "Solute Diffusion into Polymer Swollen by Supercritical CO2 by High-Pressure Electron Paramagnetic Resonance Spectroscopy and Chromatography" Polymers 13, no. 18: 3059. https://doi.org/10.3390/polym13183059

APA Style

Gromov, O. I., Kostenko, M. O., Petrunin, A. V., Popova, A. A., Parenago, O. O., Minaev, N. V., Golubeva, E. N., & Melnikov, M. Y. (2021). Solute Diffusion into Polymer Swollen by Supercritical CO2 by High-Pressure Electron Paramagnetic Resonance Spectroscopy and Chromatography. Polymers, 13(18), 3059. https://doi.org/10.3390/polym13183059

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