Abstract
Amorphous solid dispersions (ASDs) are a promising formulation approach for poorly soluble active pharmaceutical ingredients (APIs), because they ideally enhance both dissolution rate and solubility. However, the mechanism behind this is not understood in detail. In the present study, we investigated the supramolecular and the nano/microparticulate structures that emerge spontaneously upon dispersion of an ASD in aqueous medium and elucidated their influence on solubility. The ASD, prepared by hot melt extrusion, contained the poorly soluble ABT-102 (solubility in buffer, 0.05 μg/mL), a hydrophilic polymer, and three surfactants. The apparent solubility of ABT-102 from the ASD-formulation was enhanced up to 200 times in comparison to crystalline ABT-102. At the same time, the molecular solubility, as assessed by inverse equilibrium dialysis, was enhanced two times. Asymmetrical flow field-flow fractionation in combination with a multiangle light-scattering detector, an ultraviolet detector, and a refractometer enabled us to separate and identify the various supramolecular assemblies that were present in the aqueous dispersions of the API-free ASD (placebo) and of binary/ternary blends of the ingredients. Thus, the supramolecular assemblies with a molar mass between 20,000 and 90,000 could be assigned to the polyvinylpyrrolidone/vinyl acetate 64, while two other kinds of assemblies were assigned to different surfactant assemblies (micelles). The amount of ABT-102 remaining associated with each of the assemblies upon fractionation was quantified offline with high-performance liquid chromatography–ultraviolet-visible. The polymeric and the micellar fraction contributed to the substantial increase in apparent solubility of ABT-102. Furthermore, a microparticulate fraction was isolated by centrifugation and analyzed by scanning electron microscopy, X-ray scattering, and infrared spectroscopy. The microparticles were found to be amorphous and to contain two of the surfactants besides ABT-102 as the main component. The amorphous microparticles are assumed to be the origin of the observed increase in molecular solubility (“true” supersaturation).
Keywords: solid dispersion, AFlFFF, micelles, solubility, supersaturation
Introduction
Over 50% of newly developed active pharmaceutical ingredients (APIs) comprise poor solubility but high permeability properties. Oral bioavailability of these substances is thus restricted by their low solubility and/or slow dissolution rate. This behavior has become a major challenge for formulation scientists over the last few years. Various strategies have been used to enhance solubility and/or dissolution rate of oral formulations (for a recent review see Singh et al1).
One popular approach is the use of solubilizing formulations, which increase the apparent solubility of the API by inclusion within micelles (micellar solutions). Recent studies, however, indicate that enhanced apparent solubility via micellar solubilization does not necessarily enhance permeability and bioavailability.2,3
Another approach – amorphous solid dispersions (ASDs) formed by melt extrusion – has become more and more popular over the last few years.4–6 ASDs are either solid solutions or solid dispersions of amorphous API in a polymer matrix. This state of the API might lead to an accelerated dissolution rate and enhanced apparent solubility, sometimes called supersaturation. Strictly speaking, in supersaturated solutions, the drug should be molecularly dissolved.7 “True” supersaturation is a thermodynamically unstable state, but may be stabilized to provide an increased concentration of molecularly dissolved API over time (parachute).8 Various polymers as well as surfactants are used as precipitation inhibitors, the latter also termed wetting agents or solubilizers.9–11 These excipients might form different kinds of colloidal structures upon dispersion in aqueous media, which are assumed to impact the apparent solubility. In the present study, we elucidate the mechanism behind the increased solubility of the poorly soluble ABT- 102 in dispersions of an ASD in comparison to crystalline ABT-102. ABT-102 is a transient receptor potential vanilloid type 1 (TRPV1) antagonist. The TRPV1 receptor is a nexus in pain transmission and is therefore regarded as a promising target in the treatment against pain. The pharmacology is described in detail by Kym et al.12 ABT-102 has a high logP (5.28) and is poorly soluble in aqueous medium (0.05 μg/ mL in buffer).12 The aqueous dispersion of an ASD containing the poorly soluble ABT-102, a hydrophilic polymer, and three surfactants was investigated in terms of which kinds of assemblies are present in the colloidal fraction. This rather complex ASD was chosen because it appeared promising in terms of in vivo bioavailability (unpublished data). The study was performed with asymmetrical flow field-flow fractionation (AFlFFF) coupled to a multiangle light-scattering (MALS) detector, an ultraviolet (UV) detector and a refractive index (RI) detector. In addition, the microparticles, which are too big to be fractionated by AFlFFF, were separated by centrifugation and analyzed by scanning electron microscopy (SEM), powder X-ray scattering and Fourier-transform infrared (FT-IR) spectroscopy.
This experimental setup made it possible to get a deeper understanding of the macromolecules between 10 kDa and 100 kDa and of the nano- and microparticulate structures from 10 nm up to 100 μm, which emerge upon dispersion of the extrudate in buffer.
Materials and methods
Crystalline ABT-102 (99.4% purity), as well as the extrudates were provided by Abbott GmbH & Co. KG (Ludwigshafen, Germany). The excipients polysorbate 80, sucrose palmitate, polyvinylpyrrolidone/vinyl acetate 64 (PVP/VA 64) and poloxamer 188 were also kindly provided by Abbott (the purity of the excipients was according to the specifications in the European Pharmacopeia). Sodium nitrate and acetonitrile (analytical grade) were obtained from Sigma-Aldrich Chemie (Munich, Germany).
Manufacturing of melt extrudates
Material preparation and mixing
Prior to extrusion, solid and liquid excipients were mixed using a granulator (model P10; Diosna, Osnabrueck, Germany) (rotor speed, 400 rpm; chopper, level 2 for 3 minutes). Subsequently, the excipient mixture was blended twice with the API in a container blender (type Bohle PM400) at 6 rpm. Between each blending step, the mixture was sieved through a 1-mm screen (Comil type U5; Quadro, Ontario, Canada) in order to ensure a homogeneous distribution of the API.
Hot melt extrusion
Melt extrusion was performed using a Micro 18 co-rotating, intermeshing twin-screw extruder (Leistritz, Nuremberg, Germany). The screw diameter was 18 mm at a length-to-diameter ratio of 30. The barrel segment adjacent to the powder feeder was water-cooled. The second barrel had a temperature of 80°C. All other barrel segments were heated to 107°C. Vacuum was applied to remove residual moisture during the extrusion process. Screw speed and feeding rate were kept constant at 130 rpm and 2.0 kg/hour, respectively. The physical mixture was fed with a loss-in-weight feeder system (type KT 20; K-Tron, Pitman, USA).
Sample preparation for analysis
Dispersions of the melt extrudates were prepared by dispersing the melt extrudates (beads) in the dispersion medium (sodium nitrate 10 mM) in a volumetric flask and allowing it to stir for 1 hour at 37°C at 400 rpm. For the experiments in this study, the melt extrudates were dispersed in concentrations of 3.2 mg (extrudate)/mL (ABT-102–containing extrudate) and 3.02 mg (extrudate)/mL (placebo extrudate). Solutions of each single excipient were prepared by dissolution of the corresponding amount of excipient in the 10 mM sodium nitrate solution. Mixtures of the single excipients were prepared by mixing their solutions.
Analysis of apparent and molecular solubility
The dispersions of the ASDs and of crystalline ABT-102 were prepared as described in the previous section. Afterwards, a defined volume of the aqueous dispersions was transferred into centrifugation tubes and centrifuged for 60 minutes at 18,500 g at 37°C (J2-MC; Beckman Coulter, Brea, CA). After centrifugation, aliquots of the supernatant were withdrawn, immediately diluted with acetonitrile, and analyzed with high-performance liquid chromatography–UV-visible (HPLC-UV/Vis), as described in the following section. The inverse equilibrium dialysis for determination of molecular solubility was performed as described by Frank et al.3 First, the sample dispersions were put into beakers (donor). Thereafter, dialysis vials (cutoff, 3.5 kDa; Gene Bioapplication, Yavne, Israel), were filled with blank buffer (acceptor). The dialysis vials were put into the sponge-like floating devices and set into the beakers. Aliquots were taken from inside the dialysis vials as soon as the equilibrium was reached (20 hours). The aliquots were diluted with acetonitrile and the amount of ABT-102 quantified with HPLC-UV/Vis.
Quantification of ABT-102 by HPLC-UV/Vis
The instrument consisted of a separation unit ( Ultimate 3000; Dionex, Sunnyvale, CA) with a C18 column (4.6 × 300 mm) coupled to a UV/Vis detector (Ultimate 3000). Measurements were performed at a flow rate of 1.5 mL/minute with a gradient, starting with 45% eluent A (0.1% trifluoroacetic acid in water) and 55% eluent B (0.1% trifluoroacetic acid in acetonitrile), shifting to 20% eluent A and 80% eluent B over 10 minutes, followed by 3 minutes of isocratic flow profile. The detection wavelength of ABT-102 was λ = 267 nm and the retention time of ABT-102 was 8.2 min. The injection volume was 100 μL.
Analysis of the colloidal structures
Asymmetrical flow field-flow fractionation
For size separation, AFlFF (Eclipse 3+; Wyatt Technology, Dernbach, Germany) was used. The separation channel was coupled online to a UV/Vis detector (Agilent Technologies, Boeblingen, Germany), a MALS detector (DAWN EOS) and a refractometer (Optilab rEX), both from Wyatt Technology.
During the separation step, the detector flow was 1.0 mL/ minute and the cross flow started with 1.5 mL/minute as a gradient that ended after 20 minutes at a cross-flow rate of 0.1 mL/minute. The gradient was followed by a constant cross flow of 0.1 mL/minute for 20 minutes.
A 10-kDa regenerated cellulose membrane and a 250- μm spacer were used. Data were evaluated with ASTRA 5.3.2.1 5 software (Wyatt Technology). The Zimm model was used for size calculations. For the calculation of the molar mass of the polymer, an differential refractive index of dn/dc = 0.15 mL/g was used.
Each sequence of a sample (set of more than three runs of one sample solution/dispersion) was repeated at least twice (three different days) with freshly prepared sample solutions/dispersions. In Figures 1–4, the fractograms of one representative run are shown.
Quantification of ABT-102 in the fractions
The fractions after separation with AFlFFF were collected in centrifugation tubes. Then the water was removed by freeze-drying and the dry precipitate was dissolved in a 1:1 mixture of water and acetonitrile. Afterwards, aliquots were analyzed with HPLC-UV/Vis.
Analysis of the precipitate
X-ray scattering
The ABT-102–containing microparticles were investigated for crystalline parts of ABT-102 using powder X-ray diffraction. Diffraction patterns were recorded using an X’Pert Pro MPD diffractometer (Panalytical, Einshoven, Netherlands) with a pixel detector, data collector, and HighScore software. Measurements were performed with a Cu Kα radiation source at 40 kV voltage and 40 mA current from 2.5° to 3.2° 2-theta in a continuous scanning mode. The instrument was set to a step width of 0.006° 2-theta and a measurement time per step of 3000 seconds. The irradiated sample length was 20 mm.
A 29-mm diameter powder-diffraction sample holder with a zero-background holder made from single crystal silicon (Panalytical) was used for the measurements and the sample was covered with a polyimide (Kapton) film (Chemplex, Palm City, FL).
Infrared spectroscopy
The powder samples were analyzed with an FT-IR spectrometer (Spectrum One, Waltham, MA). The resolution was 4 cm−1 and the samples were analyzed in five measuring cycles.
Scanning electron microscopy
The dry-powder samples were attached to the sample holder with double-sided tape and coated with a 200-Å gold layer using an ion sputter coater (JFC-1100; Jeol, Tokyo, Japan). Then they were observed with an SEM (LEO 435 VP; Zeiss, Oberkochen, Germany).
Results
Molecular solubility and apparent solubility
The molecular solubility was assessed by inverse equilibrium dialysis (cutoff, 3.5 kDa). The concentration of molecularly dissolved ABT-102 was 0.15 μg/mL ± 0.01 μg/mL for the dispersions of the ASD in 10 mM NaNO3 (mean ± standard deviation [SD]; n = 7). This was twice the concentration of molecularly dissolved ABT-102 in the case of crystalline ABT-102 (molecular structure and physical and chemical properties, Table 1), dispersed in buffer (0.08 μg/mL ± 0.01 μg/mL; mean ± SD; n = 6). An increased concentration of molecularly dissolved ABT-102 for the ASD indicates that there emerged “true” supersaturation. The apparent solubility (assessed by benchtop centrifugation) was 9.74 μg/mL ± 1.76 μg/mL (n = 11). The high apparent solubility is assumed to be caused by a solubilization of ABT-102 by micelles and/or polymeric structures. To investigate if and which supramolecular assemblies emerge upon dispersion of the extrudate, AFlFFF-MALS/UV/RI studies were performed.
Table 1.
Ingredient | Molecular structure | |
---|---|---|
ABT-102 | ||
C21H24N4O | ||
MW = 348.44 Tm = 225°C (under decomposition)a | ||
State at RT: solid | ||
LogP: 5.28a | ||
Polysorbate 80/Tween 80 (nonionic surfactant) | w + x + y + z = 20 | |
HLB: 15.429,30 | ||
CMC: 15–16 μg/mL29,30 | ||
State at RT: liquid | ||
MW: 1310 g/mol | ||
Sucrose palmitate/Surfhope D 1615 (nonionic surfactant) | R = palmitate (80%) | |
HLB: 1531 | ||
CMC: 0.002 mM32 | ||
State at RT: solid | ||
Tm: 54°C | x = 80; y = 27 | |
MW: 579 g/mol | n/m = 60/40 | |
Poloxamer 188/Lutrol F68 (block copolymer) | ||
HLB: >2433 | ||
CMC: 125 μM34 | ||
State at RT: solid | ||
Tm: 52°C33 | ||
MW: ~8500 g/mol | ||
PVP/VA 64/Kollidone 64 (polymer) | ||
State at RT: solid | ||
Tg: 101°C35 | ||
MW: ~55,000 g/mol35 |
Note:
Abbott data.
Abbreviations: CMC, critical micelle concentration; HLB, hydrophilic/lipophilic balance; MW, molecular weight; RT, room temperature; Tg, glass transition temperature; Tm, melting point.
AFlFFF analysis of an aqueous dispersion of the placebo extrudate
First, the aqueous dispersion of the placebo extrudate (composition in Table 2) was examined. When fractionating the dispersion of the placebo extrudate, the MALS signal in the fractogram revealed four partially overlapping peaks at elution times from 7 to 35 minutes (peaks 1–4, Figure 1).
Table 2.
Ingredients | ABT-containing extrudate percentage | Placebo percentage |
---|---|---|
ABT-102 | 5 | 0 |
Copovidon Typ K28 (Kollidon VA 64) | 81.5 | 85.7 |
Sucrose palmitate (Surfhope D-1615) | 1.5 | 1.6 |
Poloxamer 188 (Pluronic F68) | 6.0 | 6.3 |
Polysorbate 80 (Tween 80) | 5.0 | 5.3 |
Fumed silica (Aerosil 200) | 1.0 | 1.1 |
The UV detector indicated one distinct peak (peak 1) followed by a broad shoulder. The RI detector showed just one peak (peak 1). One should mention that the washout phase starts at 48 minutes and that the peaks afterwards are thus regarded as artifacts. The apparent molar mass or root mean–square radii were calculated for each of the peaks (Table 3).
Table 3.
Peak number | Retention time (minutes) | Light-scattering signal | UV signal | RI signal | Rms radius (nm) | Molar mass (g/mol) |
---|---|---|---|---|---|---|
1 | 7.7–11.0 | Yes | Yes | Yes | – | 20,000–90,000 |
2 | 11.0–15.0 | Yes | – | – | 15–30 (weak signal) | – |
3 | 15.0–23.0 | Yes | – | – | 30–60 | – |
4 | 23.0–33.0 | Yes | – | – | >70 | – |
Abbreviations: RI, refractive index; Rms, root mean square; UV, ultraviolet.
In order to get an idea, if any of the four peaks may be assigned to one of the excipients, aqueous solutions of PVP/VA 64, poloxamer 188, polysorbate 80, and sucrose palmitate (molecular structures and some physical and chemical properties; Table 1) were individually fractionated under the same conditions. The resulting fractograms were compared to the fractogram of the placebo extrudate. Among all four single components, only the PVP/VA 64 fractogram showed similarities to one peak of the placebo–fractogram (Figure 2) (the other fractograms of the single components are not shown). In the next step, binary mixtures of the solutions of the excipients were analyzed. In most cases, the binary mixtures did not show any peaks at elution times above 15 minutes (data not shown). Sucrose palmitate mixed with polysorbate 80, in contrast, revealed two distinct peaks, one starting at 9 minutes and the other starting at 23 minutes (Figure 3). This mixture was the only binary mixture that revealed signals with an elution time above 15 minutes.
In order to identify the contribution of each of the four ingredients to the fractogram of the whole mixture and to evaluate the ability of the single compounds to form complex assemblies, ternary blends of their aqueous solutions were analyzed. The influence of the missing ingredient was evaluated by comparing the resulting fractograms with the fractogram of the placebo extrudate. The observations are summarized in Table 4. When comparing the fractogram of the dispersions of the placebo extrudate with the solutions of the excipients, it has to be noted that the melt extrudate is expected to contain an even distribution of the surfactant molecules and the polymer due to the melt extrusion process. This could lead to slightly different assemblies in comparison to a mixture of the aqueous solutions of the surfactants and the polymer.
Table 4.
Placebo peak number | Mix without PVP/VA 64 | Mix without poloxamer 188 | Mix without sucrose palmitate | Mix without polysorbate 80 |
---|---|---|---|---|
1 | − | + | + | + |
2 | + | + | + | Partial |
3 | + | + | Partial | − |
4 | + | + | − | − |
Notes: +, peak seen in the fractogram of the ternary mixtures; −, no peak detected at this elution time.
Analysis of an aqueous dispersion of the ABT-102–containing extrudate
The fractogram of the aqueous dispersion of the ABT-102- containing formulation is presented in Figure 4. The main difference in comparison to the placebo extrudate was a sharp peak at 8 minutes, designated as peak 0, which was detected by the MALS detector and the UV detector.
AFlFFF theory implies that smaller macromolecules or particles elute ahead of bigger particles. This would mean that the size of the assemblies in peak 0 should be between 10 kDa and 20 kDa. Alternatively, the observed peak may be due to steric elution, meaning that large particles elute as soon as the elution step starts, because they are too big to be fractionated at the given channel height, defined by the thickness of the chosen spacer (250 μm). Another modification in comparison to the placebo extrudate was seen in the light-scattering signals of peaks 3 and 4. There were two signals seen in the fractogram of the ABT-102-containing extrudate: one with an elution time from 14 minutes to 23 minutes and the other with an elution time from 23 minutes to 31.5 minutes. The elution times were in the same range as those of peaks 3 and 4 of the placebo extrudate. However, the peak shape was different and the areas under the curve (AUCs) were decreased, especially that of peak 3, which was the predominant one in the fractogram of the placebo extrudate.
To check whether peak 0 was due to rather large particles, the dispersion was centrifuged for 60 minutes at 18,500 g prior to the AFlFFF study, and the clear supernatant obtained this way was investigated. It was seen that peak 0 was drastically decreased (data not shown).
In the next step, the distribution of ABT-102 over the different supramolecular assemblies in fractions 0–4 of the centrifuged sample (only supernatant) was evaluated. These assemblies are assumed to cause the up-to-200-fold increased apparent solubility (9.74 ± 1.76 μg/mL; n = 11) that was observed for the dispersion of the ASD in 10 mM NaNO3 in comparison to the crystalline ABT-102. The results of the collection and offline quantification of ABT-102 of the fractions 0–4 in the supernatant after fractionation with AFlFFF are presented in Figure 5. Most of the ABT-102 was found in fraction 1, followed by fractions 3 and 4. The total amount, which was detected in all AFlFFF fractions (0–4), was 0.821 ± 0.138 μg (n = 5, mean ± SD). This represents about 56% of the injected amount (injection volume, 150 μL of the supernatant).
Analysis of the precipitate
In the previous section, the distribution of ABT-102 over the different nanoparticulate structures in the supernatant after centrifugation was described. In this section, we focus on the larger particles that were spun down during the centrifugation. The precipitate, which contained about 90% of the total amount of the ABT-102 in the aqueous dispersion of the ASD, was analyzed in detail. SEM of the freeze-dried precipitate showed particles in the size range 1–100 μm. The appearance of these particles was different from the ABT-102 crystals, as demonstrated in Figure 6. Powder X-ray–scattering analysis of the wet precipitate indicated the absence of ABT-102 crystallites within the limits of the method (Figure 7). The crystalline ABT- 102 revealed a peak at the position 2.98° 2 Theta. In the case of the microparticles, there was no peak observed at this position. The angle range was chosen for the indication of crystallinity of ABT-102, because a previous study showed that crystalline ABT-102 showed its biggest reflex in that range.13
FT-IR studies of the dried precipitate were done to determine the ingredients of the amorphous microparticles. Figure 8 presents the spectra of the single compounds and of the precipitate (microparticles). The relevant bands in the spectra are marked and further described in Table 5. It is clearly seen that the ABT-102 was present in the precipitate, because of its characteristic bands 1, 5, 6, and 8. The characteristic band of the PVP/VA 64 (number 4) is not present in the spectra of the precipitate. Polysorbate 80 and/or sucrose palmitate are assumed to be present in the precipitate, as band number 3, which is seen in their spectra, is represented in the spectra of the precipitate as well.
Table 5.
Band number | Wavenumbers (cm−1) | Characteristic absorption | Band seen in the spectrum of |
---|---|---|---|
1 | 3300 | N−H stretch | Precipitate, ABT-102 |
2 | 3000–2800 | C−H aliphatic stretch | All spectra |
3 | 1750 | C=O stretch aliphatic ester | Precipitate, PVP/VA 64, polysorbate 80, sucrose palmitate |
4 | 1660 | C=O stretch lactame | PVP/VA 64 |
5 | 1625–1575 | C−C stretch aromatic | Precipitate, ABT-102 |
6 | 1100 | C−O−C stretch aliphatic | Precipitate, polysorbate 80, poloxamer 188, sucrose palmitate |
7 | 900–650 | C–H aromatic out of plane bend | Precipitate, ABT-102 |
Discussion
The release of a poorly soluble drug from a hydrophilic polymer matrix has been under investigation for a long time. There were elaborate hypotheses about the mechanism published quite some years ago.14,15 However the mechanism is still far from well understood. It is generally accepted that a kinetically stable ASD is desirable,16 ie, recrystallization of the API within the glassy matrix is expected to bring about inferior drug-release properties. In consequence, stabilization of the amorphous state such as molecular interactions and mobility has been in focus.17 Karavas et al compared two types of binary solid dispersions (polymer/API).18 They observed amorphous or crystalline API particles as a function of drug–polymer interactions. These particles appeared to persist upon dispersion in aqueous medium. Albers et al described that for a given binary formulation consisting of a polymer and an API, melt extrusion conditions were decisive for recrystallization tendency.19 In case of opaque solid dispersions, a tendency of drug recrystallization in contact with aqueous medium was reported. In clear solid solutions, a release of drug in a polymer-controlled manner was seen. Warren et al summarized the potential action of hydrophilic polymers as precipitation inhibitors.9
Ternary or higher-grade amorphous solid dispersions containing one or several surfactants besides the API and the hydrophilic polymer are even more complex. Several studies have been performed to evaluate the role of the surfactants in the solid state. They can be used to decrease the glass transition temperature of the blend (eg, Ghebremeskel et al20). In contrast, only few studies have looked into the role of surfactants on the release mechanism. Tho et al reported formation of nano- and microparticles in the aqueous dispersions of surfactant-containing melt extrudates.21 Kanzer et al22 demonstrated that there may coexist several types of supramolecular or nanoparticulate structures in aqueous dispersions of API-containing melt extrudates. However, the apparent solubility or ratio of supersaturation was not evaluated in their study at the same time.
The ASD investigated here was able to increase the molecular solubility (“true” supersaturation) and to increase apparent solubility in comparison to crystalline ABT-102. Molecular solubility in our understanding refers to single ABT-102 molecules surrounded by a hydration shell. Apparent solubility additionally takes into account the colloidal solubilized ABT-102. Potential colloidal structures may arise from the polymer and/or surfactants contained in the formulation. Kanzer at al suggested AFlFFF as a promising analytical tool for micelles and other nanoparticulate assemblies.22
To evaluate the nature and composition of the colloidal structures in this study, the AFlFFF fractogram of the placebo extrudate was compared with the fractograms of single compounds and binary and ternary mixtures of the single compounds.
Peak 1 is assumed to be composed mainly of PVP/VA 64. The light-scattering signal, the RI peak, and the UV/Vis peak, as well as the molar mass of the PVP/VA 64 single compound are in good correlation with peak 1 in the fractogram of the placebo extrudate. Additionally, a quantification of the amount of ABT-102 in the fractions of the centrifuged sample revealed that the fraction corresponding to peak 1 contained the highest amount of ABT-102 among all fractions collected from AFlFFF. The relatively poor recovery and high standard variations in the amount of ABT-102 in the fractions can be explained by the huge surface area, to which ABT-102 might adsorb. Furthermore, some of the ABT-102, which was bound to the polymer and/or other supramolecular assemblies, might have been “washed off ” from the colloidal structures during the run. The bottom part of the separation channel is comprised of a semipermeable membrane with a cutoff of 10 kDa. Thus, molecularly dissolved ABT-102 is assumed to disappear with the cross flow through the membrane and cannot be detected in the detector flow.
It was not possible to determine one excipient or a mixture of excipients that could be assigned to peak 2, as none of the single compounds or mixtures revealed a peak at exactly that position. The light-scattering signal of the PVP/VA 64 solution (peak 1) showed a small shoulder at this position, and the fractogram of the binary mixture of sucrose palmitate and polysorbate 80 (peaks 3 and 4) revealed a small shoulder at that elution time, too. Consequently, we assume that peak 2 might be caused by an overlapping of peak 1 and 3.
Peak 3 was generated only in the presence of polysorbate 80. In addition, the peak occurred to be smaller in the absence of sucrose palmitate. This leads to the conclusion that there are structures formed that contain a mixture of these two ingredients. We assume that it might be mixed micelles, but as far as we know there are no micelles of that kind described in the literature yet. The analysis of the mixture of the solutions of polysorbate 80 and sucrose palmitate proved that there emerged two kinds of supramolecular assemblies in this mix. Peak 4 is supposed to consist of a mixture of polysorbate 80 and sucrose palmitate, too. The two micellar peaks with different sizes might be attributed to two different mixed-micelle types. It is has been described in the literature that the generation of two different kinds of micelles is possible in mixed micellar systems.23,24 In this case, both micellar peaks (3 and 4) contained a distinct amount of ABT-102. From this point of view, there was no relevant difference observed between these two kinds of mixed micelles.
The smaller AUC of the micellar light-scattering signal, which was observed for the ABT-102–containing extrudate (peaks 3 and 4) in comparison to the placebo extrudate, is assumed to be caused by a loss of surfactants due to precipitation of the surfactants (polysorbate 80 and sucrose palmitate) with ABT-102 into microparticles.
Poloxamer 188 did not play a role in the generation of mixed assemblies, probably because of its block-copolymeric properties, which decrease the possibility to form mixed supramolecular assemblies (micelles) with the other two surfactants due to steric hindrance.
To conclude, two categories of colloidal structures have been detected: a polymeric one and the micellar one, which both contained ABT-102. The observations here were performed at a concentration of the extrudate that was well above the critical micellar concentration of the surfactants (Table 1) and of the placebo extrudate (data not shown). In the case of other concentrations, the structures that emerge might be different. One has to bear in mind that AFlFFF, as most fractionation methods, implies a major dilution of the sample during focusing and fractionation, concomitant with a change in ionic strength. The supramolecular assemblies that were found are thus not necessarily identical with those present in the sample prior to fractionation.
It has been reported that polymers are able to form hydrogen-bound stabilized complexes with APIs and prevent it therefore from nucleation.25 Another theory is that the polymers bind to the surface of crystallites or nuclei and hinder further crystal growth.26,27
In this study, the complex of the polymer and the API in the polymeric fraction (peak 1) was rather stable, because there was still ABT-102 bound to the polymer after 12 minutes runtime and dilution with approximately 15 mL of buffer. The molecular mass distribution of the polymeric peak in the dispersion of the extrudate was in good accordance with the molecular mass distribution of the polymer solution. We assume that the interactions of the polymer and ABT-102 took place on a molecular level, because otherwise (binding of the polymer to nanoparticles of the API) the molecular mass of the polymeric fraction would have been increased and the bigger particles would have eluted later.
Furthermore, the amorphous microparticles in the precipitate are assumed to be not covered with PVP/VA 64, because all PVP/VA 64 was in solution, which is concluded from the AUC of the concentration-dependent RI signal of peak 1. In addition, FT-IR analysis of the precipitate revealed that there was no PVP/VA 64 present in the precipitate.
The ABT-102–containing extrudate revealed a decreased AUC of the micellar peaks (peaks 3 and 4) in comparison to the placebo extrudate. This reduced signal is attributed to a loss of polysorbate 80 and/or sucrose palmitate. FT-IR analysis demonstrated that the precipitate did contain polysorbate 80 and/or sucrose palmitate. It might be possible that the surfactants acted as crystallization inhibitors and stabilized the amorphous state of the microparticles. Recent studies on the effect of surfactants on the growth of crystals in supersaturated solutions by Overhoff et al10 and Brewster et al28 are in accordance with our results. Overhoff et al10 hypothesized that the crystal growth of tacrolimus was actively hindered through adsorption of sodium dodecyl sulfate onto the surface of tiny drug particles, which inhibits crystal growth and precipitation. In our case, the surfactant(s) might have bound to the precipitating amorphous microparticles and thereby might have inhibited their crystallization. Further studies are under way, which may elucidate the composition of the precipitate and the intermolecular bindings between the ingredients more precisely. Taken together, we could detect three different categories of ABT-102 in the aqueous dispersion of the ASD. One category was the molecularly dissolved ABT-102, which was found to show enhanced concentration in comparison to the crystalline ABT-102 (“true” supersaturation). In addition, there emerged a colloidal fraction (category 2) that solubilized the ABT-102 by absorption to the polymer and inclusion into nanoparticulate supramolecular assemblies (micelles). This category contributed mainly to the up-to-200-fold-higher apparent solubility (concentration in the supernatant) in comparison to crystalline ABT-102 (Figure 9A). In addition, a microparticulate category was found that contained most of the ABT-102 (~90%) that was present in the whole aqueous dispersion of the ASD (Figure 9B). The influence of the various structures on the bioavailability of ABT-102 will be evaluated in a further study.
Conclusion
An ABT-102–containing ASD was found to increase its apparent solubility up to 200 times in comparison to crystalline ABT-102. Furthermore, inverse equilibrium dialysis indicated that the concentration of molecularly dissolved drug was enhanced beyond its solubility limit (two times), indicating “true” supersaturation. The aqueous dispersion of the ASD was screened for supramolecular assemblies in the nanometer range as well as for microparticles. The combination of centrifugation and AFlFFF enables the separation of the complex system into three categories: a polymeric, a micellar, and a microparticulate one. The polymer and the mixed supramolecular assemblies (micelles) of polysorbate 80 and sucrose palmitate acted clearly as solubilizing agents and contributed thereby to the increase of apparent solubility. Further investigations into the microparticles with X-ray scattering, SEM, and FT-IR indicated that the microparticles consisted mainly of amorphous ABT-102. In addition, they contained surfactant(s) that are assumed to stabilize the amorphous state. These microparticles are hypothesized to account for the ability of the ASD to generate supersaturation, ie, an increase of the molecular solubility. This is to our knowledge the first report giving in-depth insight into the supramolecular assemblies and microparticles in the dispersion of an ASD, as well as into their contribution towards enhanced apparent solubility and molecular solubility.
Acknowledgments
The authors would like to thank Stefanie Heber and David Gessner at Abbott GmbH and Co. KG (Ludwigshafen, Germany) for performing the X-ray scattering and infrared-spectroscopy studies. Furthermore, we would like to thank Danny Kyrping for helping with the SEM studies. We would like to thank Abbott GmbH and Co. KG for financial support of this study.
Footnotes
Disclosure
The authors report no conflicts of interest in this work.
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