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Nanoscale Infrared, Thermal, and Mechanical Characterization of Telaprevir-Polymer Miscibility in Amorphous Solid Dispersions Prepared by Solvent Evaporation Na Li, and Lynne S. Taylor Mol. Pharmaceutics, Just Accepted Manuscript • DOI: 10.1021/acs.molpharmaceut.5b00925 • Publication Date (Web): 09 Feb 2016 Downloaded from http://pubs.acs.org on February 15, 2016
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Molecular Pharmaceutics
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Nanoscale Infrared, Thermal, and Mechanical Characterization of Telaprevir-Polymer Miscibility
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in Amorphous Solid Dispersions Prepared by Solvent Evaporation
5 6 Na Li† and Lynne S. Taylor†*
7 8 9 10
†
Department of Industrial and Physical Pharmacy, Purdue University, 575 Stadium Mall Drive, West Lafayette, Indiana 47907, United States
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TOC graphic
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nano IR spectra
nano thermal analysis
nano mechanical spectra
-2.6
Deflection (V)
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TPV HPMC
-3.0 -3.2 -3.4 -3.6 -3.8
1800
15 16
1600
1400
Wavenumber (cm-1)
1200
40
60
80
100 120 140 160 180
Temperature (oC)
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Frequency (kHz)
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Molecular Pharmaceutics
Abstract
18
Miscibility is of great interest for pharmaceutical systems, in particular for amorphous
19
solid dispersions, as phase separation can lead to a higher tendency to crystallize, resulting in a
20
loss in solubility, decreased dissolution rate, and compromised bioavailability. The purpose of this
21
study was to investigate the miscibility behavior of a model poorly water-soluble drug, telaprevir
22
(TPV), with three different polymers using atomic force microscopy-based infrared, thermal, and
23
mechanical analysis. Standard atomic force microscopy (AFM) imaging together with nanoscale
24
infrared spectroscopy (AFM-IR), nanoscale thermal analysis (nanoTA), and Lorentz contact
25
resonance (LCR) measurements were used to evaluate the miscibility behavior of TPV with three
26
polymers, hydroxypropyl methylcellulose (HPMC), HPMC acetate succinate (HPMCAS), and
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polyvinyl pyrrolidone vinyl acetate (PVPVA), at different drug to polymer ratios. Phase separation
28
was observed with HPMC and PVPVA at drug loadings above 10%. For HPMCAS, a smaller
29
miscibility gap was observed, with phase separation being observed at drug loadings higher than
30
~30-40%. The domain size of phase separated regions varied from below 50nm to a few hundred
31
nanometers. Localized infrared spectra, nano-TA measurements, and images from AFM-based IR,
32
and LCR measurements showed clear contrast between the continuous and discrete domains for
33
these phase-separated systems whereby the discrete domains were drug-rich. Fluorescence
34
microscopy provided additional evidence for phase separation. These methods appear to be
35
promising to evaluate miscibility in drug-polymer systems with similar Tgs and sub-micron
36
domain sizes. Furthermore, such findings are of obvious importance in the context of contributing
37
to a mechanistic understanding of amorphous solid dispersion phase behavior.
38 39
Keywords: AFM, nanoIR, nanoTA, LCR, amorphous solid dispersion
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Introduction
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Poor aqueous solubility is a critical issue for many of the new drugs currently being
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developed and can limit bioavailability1. To achieve adequate delivery to the body, various
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solubility enhancing approaches can be used2. Using an amorphous form of the drug, typically
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generated by creating a blend with a suitable polymer producing a system commonly referred to as
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an amorphous solid dispersion (ASD), has emerged as an important solubility enhancing strategy
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for low bioavailability compounds
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dispersions (ASDs) 6. Formation of an amorphous molecular dispersion of the drug with a suitable
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polymer can lead to more rapid dissolution in aqueous media and an increase in achievable
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solution concentrations relative to formulations containing crystalline drug 7. In a miscible drug-
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polymer system, the presence of the high molecular weight polymer will also retard drug
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crystallization and kinetically stabilize the system 8, whereas in a phase separated ASD system, the
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amorphous drug may crystalize quickly leading to a loss in the solubility and bioavailability
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advantage 9. Prevention of crystallization over the shelf-life of the product is essential in order to
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produce safe and efficacious formulations containing amorphous drug. Therefore, it is essential to
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understand and characterize drug-polymer miscibility. Unfortunately, this is not a trivial endeavor.
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Differential scanning calorimetry (DSC) is considered as the gold standard for miscibility
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evaluation of pharmaceutical systems based on the presence of one (miscible) or two (phase
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separation) glass transition (Tg) events
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indicator of miscibility
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similar Tg values, partially phase separated systems with a similar chemical composition in each
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phases, and systems with very small domain sizes, it may be challenging to characterize
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miscibility via DSC
10, 11
12, 13
3-5
. Miscibility is of great importance for amorphous solid
10
. However, a single Tg value may not be a reliable
. In particular, for systems containing a drug and a polymer with
. Traditional high-resolution imaging techniques such as scanning
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electron microscopy (SEM), transmission electron microscopy (TEM), and atomic force
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microscopy (AFM), are able to achieve the nanoscale resolution often necessary for miscibility
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evaluations
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different phases. Solid state nuclear magnetic resonance (ssNMR) spectroscopy is an extremely
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valuable tool to evaluate miscibility and provide some information on domain size 16, however, it
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is extremely time consuming to obtain the data. Consequently there is a need for additional
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techniques that enable sample microstructure to be related to chemical composition in order to
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provide a mechanistic understanding of the miscibility behavior of ASD systems as a function of
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factors such as polymer type, drug loading, environmental conditions, and processing variables.
14, 15
. However, these techniques are not able to identify the chemical composition of
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The objective of this study was to develop new approaches to characterize the miscibility
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behavior of amorphous solid dispersions using nanoscale characterization methods. Herein we
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combined infrared spectroscopy, thermal analysis, and Lorentz contact resonance mechanical
75
measurements with standard AFM topographical imaging to identify phase separation in drug-
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polymer blends. The molecular structures of the model drug, telaprevir, and polymers,
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hydroxypropyl methylcellulose (HPMC), hydroxypropyl methylcellulose acetate succinate
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(HPMCAS), and polyvinylpyrrolidone/vinyl acetate (PVPVA) are shown in Figure 1. Telaprevir is
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a poorly water-soluble drug used to treat hepatitis C infections. Due to the low oral bioavailability
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of the crystalline form, it was developed and commercialized as an amorphous solid dispersion
81
with HPMCAS, in order to achieve sufficient oral bioavailability
82
PVPVA are the most widely used polymers in commercial ASD formulations. In this study, the
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miscibility of thin films of TPV-polymer blends, prepared by solvent evaporation was investigated
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as a function of polymer type and drug-polymer ratio using various nanoscale characterization
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methods.
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. HPMC, HPMCAS, and
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Materials and methods
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Materials
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Telaprevir was supplied by Attix (Toronto, Ontario, Canada). HPMCAS (HF grade) was
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obtained from ShinEtsu (Tokyo, Japan). Methocel® E5 was obtained from the Dow Chemical
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Company (Midland, MI). Kollidon® VA 64 (PVPVA) was supplied by the BASF Corporation
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(Ludwigshafen, Germany). Methanol, acetone, and dichloromethane were purchased from
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Mallinckrodt Baker (Phillipsburg, NJ).
94 95
Methods
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Preparation of TPV-polymer thin films
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TPV-polymer mixtures at different TPV-polymer ratios were dissolved in 1:1 (v:v)
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methanol : dichloromethane solutions unless otherwise specified. A total solids content of 5% (w/v)
99
was achieved for all systems.
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Samples were then spin-coated onto 1cm x 1cm ZnS substrates (Anasys Instruments, Santa
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Barbara, CA) using a spin coater (Chemat Technology Inc., Northridge, CA). 30-50uL of the
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TPV-polymer solution was deposited, and the ZnS flat was spun for 6s at 50 rpm followed by 50s
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at 3100 rpm. The spin-coated films were stored in a vacuum oven overnight at ambient
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temperature to remove residual solvent.
105 106
Topographical imaging
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A nanoIR2TM AFM-IR instrument (Anasys Instruments, Inc., Santa Barbara, CA) was used
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to perform AFM topographical imaging. Contact mode NIR2 probes (Model: PR-EX-NIR2,
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Anasys Instruments, Inc., Santa Barbara, CA) were used to collect topographical images. For
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tapping mode images, tapping mode AFM probes (Model: EX-T125) were used. A scan rate of 0.5
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Hz was used for contact mode, and 0.3 Hz was used for tapping mode. The image acquisition time
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was 8.6 minutes and 14.3 minutes at scan rates of 0.5 and 0.3 Hz, respectively, with an x and y
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resolution of 256 points. Topographical images were collected using the Analysis Studio software
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(version 3.10.5539, Anasys Instruments, Inc., Santa Barbara, CA). The size of the height features
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was measured using the ruler tool in the software with an average of 5 data points.
116 117
Bulk IR spectroscopy
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Thin films of pure TPV, polymers, and TPV-polymer mixtures were prepared on KRS-5
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windows (Harrick Scientific Corporation, Ossining, NY) by spin coating using the method
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described previously. A Bruker Vertex 70 FTIR spectrometer was used (Bruker Co., Billerica,
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MA). 128 scans were collected for both background and samples. IR spectra were collected and
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analyzed using OPUS software (version 7.2, Bruker Optik GmbH).
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Nano IR spectroscopy
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The nanoIR2TM AFM-IR instrument (Anasys Instruments, Inc., Santa Barbara, CA) was
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used to collect localized nanoscale mid IR spectra. Contact mode NIR2 probes (Model: PR-EX-
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NIR2, Anasys Instruments, Inc., Santa Barbara, CA) with a resonance frequency of 13±4 kHz and
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a spring constant of 0.07-0.4 N/m were used for data collection. IR spectra were collected and
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analyzed using Analysis Studio software (version 3.10.5539, Anasys Instruments, Inc., Santa
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Barbara, CA). The AFM-IR technique is accomplished by coupling a pulsed tunable IR source
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with an AFM. The pulsed tunable IR source has a pulsed length of ~10 ns and can cover a broad
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range of the mid IR region. The light from this source is focused onto the tip-sample contact area.
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When the pulsed light from the IR source is absorbed by the sample, a rapid heating/expansion of
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the sample occurs creating an impulse onto the AFM cantilever inducing an oscillation of the
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cantilever, which is termed a “ringdown”.
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frequencies due to excitation of the different modes of oscillation of the pinned AFM cantilever in
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contact with the sample surface. Usually one of these modes is selected by a band pass filter. The
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amplitude of this signal is proportional to the absorption of the sample integrated throughout the
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thickness of the sample.
The “ringdown” will typically have multiple
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Prior to IR spectra acquisition, IR background calibration was performed over the 1200-
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1800 cm-1 range to normalize the signal intensity as a function of wavenumber. 5 background
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spectra were collected and averaged. The second mode of cantilever oscillation was selected for
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the cantilever “ringdown” signal by selecting a frequency center of 200 kHz with a frequency
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window of 30kHz. The infrared light was centered at the probe-sample contact point using the
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optimize function at 1450 cm-1, 1525 cm-1 and 1670 cm-1 for telaprevir. A co-average of 256x was
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used for optimization. The power level was adjusted to be high enough to achieve a clean
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optimization background with a distinct IR hotspot in the center (Figure S1, supporting
148
information). The optimization step was repeated four times from a 800µm x 800µm search area
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to a 50µm x 50µm search area. Then the IR focus was optimized by clicking the IR focus buttons
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until the IR signal reached a maximum value. AFM-IR spectra were collected from 1200 to
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1800cm-1, with an interval of 4 cm-1. A co-average number of 256x was used for IR spectra
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collection. The spectral acquisition time was 2.5 minutes. The average spectra of 5 individual
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points from each phase, i.e. continuous and dispersed phases, were summed, normalized and
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plotted. For pure compounds, an average of 9 spectra were obtained. All AFM-IR spectra were
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smoothed using a Savitzky-Golay function with a polynomial order of 3 and a side point of 5 pt.
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All localized IR spectra were normalized prior to further analysis.
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For IR image scans, a co-average of 8x was used at a scanning rate of 0.1Hz. The x and y
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resolution values used were both 256 pt. The image acquisition time was approximately 43
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minutes. IR ratio images were obtained by taking two IR images at different wavenumbers in the
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same area. A sample frequency image was collected simultaneously by obtaining the contact
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resonant frequency signals from the cantilever “ringdown” as a function of position 18, 19.
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Differential Scanning Calorimetry (DSC)
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The glass transition temperatures (Tgs) of TPV, HPMC, HPMCAS, and PVPVA were
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measured using a TA Q2000 DSC equipped with a refrigerated cooling accessory (TA Instruments,
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New Castle, DE). Samples were weighted in TzeroTM aluminum pans and TzeroTM aluminum lids.
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Samples were heated to 260oC for TPV, 225oC for HPMC, and 150oC for HPMCAS and PVPVA,
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using a heating rate of 20oC/min, equilibrated at 40oC, and then ramped up to 150oC for TPV, and
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150oC for HPMCAS and PVPVA, using a heating rate of 20oC/min. For HPMC only one thermal
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cycle was used. From the resulting thermograms, Tgs were determined as the midpoint of the glass
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transition in the heat flow curve of the second heating ramp. All samples were prepared in
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triplicate.
173 174
Nano TA measurements
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Localized thermal analysis was conducted using the nanoIR2TM AFM-IR instrument
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(Anasys Instruments, Inc., Santa Barbara, CA) in nanoTA mode. A nanoTA ramp is obtained by
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heating the probe linearly with time while the extent of cantilever bending is recorded. When a
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thermal event occurs, the sample surface becomes softened and then the AFM tip penetrates into
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the sample (Figure S2, supporting information). The local maximum in the temperature ramp is
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typically defined as the onset of the thermal event 20.
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ThermaleverTM probes (Model: EXP-AN2-300, Anasys Instruments Inc., Santa Barbara,
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CA) were used. Briefly, the AFM tip was heated linearly with time, and the bending of the probe
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was recorded. A thermal event is defined as penetration of the probe into the surface of the sample
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due to sample softening 20. Prior to data collection, a calibration curve was made by measuring the
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glass transition temperature of polymeric calibration samples polycaprolactone (55oC),
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polyethylene (116oC), and polyethylene terephthalate (235oC). A plot of deflection versus heating
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voltage was generated by the software. The calibration curve was obtained by fitting the three
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points using a quadratic fit. Voltage was then converted to temperature after temperature
189
calibration. After calibration, the telaprevir and polymer films were analyzed. An AFM
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topographical image was acquired prior to nanoTA ramps to locate the discrete and continuous
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domains. The probe was heated at a rate of 5oC/s. A deflection decrease of 0.15 V within 20 ms
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was set as the first trigger abort, normally indicating a thermal transition of the sample. A
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resistance decrease value of 0.15 V within 20 ms was set as the second trigger abort. This was
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used to prevent probe damage caused by passing the resistance turnaround point of the probe. The
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first derivative of the deflection versus temperature curve was taken, and the intersection at y=0
196
was calculated as the softening point.
197 198
Lorentz Contact Resonance (LCR) measurements
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Lorentz contact resonance (LCR) AFM is a type of contact resonance AFM. In contact
200
resonance AFM, information about the viscoelastic properties of a sample in contact with an AFM
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probe can be evaluated at the nanoscale by measuring the contact stiffness between the probe and
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the sample
203
resonance modes of the cantilever are monitored
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oscillation in a cantilever including piezoelectric, electrostatic, photothermal, thermomechanical
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and magnetic approaches
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using a U-shaped AFM probe that conducts oscillating electricity in a magnetic field to generate
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an oscillating force
208
the mechanical properties of the material in contact with the AFM tip. By recording the oscillation
209
amplitude as a function of position at a certain frequency, surface images that reflect differences in
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the relative stiffness of each component can be obtained. The advantage of LCR over other contact
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resonance techniques, such as piezoelectric and ultrasonic, is that the nanomechanical spectra
212
generated by LCR is free from parasitic peaks generated by the piezo
213
differentiates different regions on the sample surface based on the stiffness of the sample, rather
214
than phase, which could be affected by fiction, viscosity, or other adhesive forces 22, 25. In addition,
215
by simply modulating the alternating current, a single AFM cantilever can be used to analyze
216
samples with a wide range of stiffness 22, 24, 25.
21, 22
. The AFM cantilever is oscillated and the amplitude and frequency of the
26
24, 25
23
. There are several methods for generating an
. The Lorentz contact resonance (LCR) technology is achieved by
. The amplitudes and peak frequencies of the oscillation are determined by
22, 24, 27, 28
. Also, it
217
ThermaleverTM probes (Model: EXP-AN2-300, Anasys Instruments Inc., Santa Barbara,
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CA) were used together with a small LCR drive magnet to conduct LCR sweeps and collect LCR
219
images. Prior to LCR sweeps, an AFM height scan was performed. LCR sweeps were then
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conducted by placing the AFM cantilever on areas of interest to collect nanomechanical spectra. A
221
drive strength of 20% was used for LCR sweeps. The starting and ending values were set to 1 kHz
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and 1000 kHz, respectively, with a scan rate of 100 kHz/s. The data collection rate was set to 200
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pt/s. In addition to nanomechanical spectra collection, LCR images could be obtained by driving
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the AFM cantilever at one of the contact resonance modes. For a heterogeneous sample, a contact
225
frequency that shows differences among mechanical spectra obtained from different regions on the
226
sample is used. If the contact frequency between the AFM probe and the sample is the same as the
227
value at which the probe is driven, bright areas will be visible in LCR amplitude images. If
228
multiple regions on the sample have the same contact frequency, the LCR amplitude image will
229
show contrast based on amplitude differences at this frequency value across the scan area. An
230
LCR drive strength value of 50% was used to collect LCR images. The x and y resolution values
231
were set at 256 and 256pt, with a scan rate of 0.3 Hz. The image acquisition time was
232
approximately 14 minutes.
233 234
Fluorescence microscopy
235
Drug-polymer stock solutions were prepared at different drug-polymer ratios in methanol:
236
dichloromethane (1:1, v/v) mixed solvents at 5% solid contents. Pyrene was added as a
237
fluorescence probe to a final concentration of 0.01% (w/v). 100µL of the stock solution was spin-
238
coated onto a quartz slide and then dried overnight in a vacuum oven. Fluorescence images were
239
obtained using an Olympus BX-51 fluorescence microscope (NY, USA). A filter was used to
240
provide excitation from 330-380nm and a separate filter was used to collect the emission from
241
420nm and above.
242 243
Results
244
Topographical imaging
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The AFM height images for spin coated films of the pure compounds are shown in Figure
246
2A. The topographical features of telaprevir-polymer systems at different drug-to-polymer ratios
247
are shown in Figure 3.
248
The AFM images for both pure telaprevir and pure HPMC showed a smooth surface with
249
very few topographical features. For telaprevir-HPMC systems, discrete domains were observed at
250
10% drug loading. As the drug loading increased, these height features became larger. As the drug
251
loading increased from 40% to 50%, the domains present in the height image became more
252
irregular in shape and less uniform in size. At a 50% drug loading, the domain height is about
253
30nm. Based on the change in domain size with drug loading, the discrete domains are most
254
likely telaprevir-rich, while the continuous domains are HPMC-rich.
255
The height image for the pure HPMCAS film showed some variations in topography
256
suggesting that the film formation was uneven. For the telaprevir-HPMCAS films, similar
257
variations in height were also observed at drug loadings below 40%. The areas of the film showing
258
height variation are irregular in shape. When the drug loading level increases to 40%, very small,
259
regularly shaped, circular domains of about 120nm in diameter and 50nm in height are formed.
260
These features become more obvious when drug loading reaches 50%. From these images, it
261
appears that phase separation may have occurred when the drug loading exceeds 40%, although
262
additional investigations are need to confirm this.
263
For TPV-PVPVA films, discrete domains were also observed at a 10% drug loading. The
264
distance between these domains decreases with increasing drug loading. These discrete domains
265
grow taller and hence the sample surface becomes rougher. To avoid surface damage, tapping
266
mode was used instead of contact mode at 30-50% drug loading levels. The diameter of these
267
discrete domains increases slightly from around 280nm to 380nm as drug loading increases from
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10% to 50% and their height increases from around 20nm to 100nm. Therefore, these discrete
269
domains are probably telaprevir-rich, while the continuous phase is PVPVA-rich.
270
Although AFM imaging allows detailed surface topographical features to be evaluated, it is
271
hard to conclusively determine if these systems are phase separated, for instance, consider the
272
TPV-HPMCAS system at 50% DL which shows very small domains, or to elucidate the chemical
273
composition of each domain. AFM-IR spectroscopy, however, can provide information on the
274
chemical composition of specific topographical features and has been used previously to evaluate
275
drug-polymer miscibility
276
behavior of these drug-polymer thin film systems.
29
. It is therefore a powerful tool to further explore the miscibility
277 278
AFM-IR spectroscopy
279
The reference IR spectra from 1200-1800 cm-1 for pure telaprevir and the polymers are
280
shown in Figure 2B and C. HPMC has very weak AFM-IR signal in this region and therefore has a
281
low signal to noise ratio. In general, the peaks at wavenumbers above 1600cm-1 are less intense in
282
the AFM-IR spectra as compared to in the bulk IR spectra. Such discrepancies might be caused by
283
the differences in hardware and laser settings
284
AFM-IR spectra are consistent with those shown in bulk IR spectra. From both the bulk and AFM-
285
IR spectra, it can be seen that the peak at 1525cm-1 is only present in telaprevir, and is absent in
286
the spectra of all of the polymers. Due to the highly complex molecular structure of telaprevir,
287
attempts at theoretical calculations of the IR spectrum of telaprevir were not successful. Based on
288
the peak position, the peak at 1525 cm-1 may be a ring stretch for the pyrazine ring, which is
289
known to give rise to an infrared absorption peak in this region
290
determine the absence or presence of telaprevir in various sample regions evaluated in the AFM-
29
. However, the peak positions observed in the
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. This peak was selected to
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IR experiments. As the intensity of the localized IR signal is strongly affected by sample thickness
292
31
, i.e. topography, peak ratios instead of peak intensities are used for comparison.
293
Local IR spectra obtained from a 60:40 (w:w) TPV-HPMC system are shown in Figure 4A.
294
For the continuous phase, the peak at 1450 cm-1 is of comparable intensity to the peak at 1525 cm-
295
1
296
composition of the discrete domains which show up as higher regions in the height image are
297
different from the continuous phase, with the IR data indicating that the dispersed phase is
298
telaprevir-rich, and the continuous phase is HPMC-rich. The characteristic IR peaks for telaprevir
299
and HPMC are present in both the continuous and dispersed phases. This can be caused either
300
because of partial miscibility between telaprevir and HPMC, or because there is a certain degree of
301
spectral mixing vertically through the thickness of the sample or laterally between the two
302
domains at a distance below the spatial resolution of the technique, or some combination of these
303
two factors 29.
, whereas it is considerably reduced in intensity in the dispersed phase. Therefore, the chemical
304
For TPV-HPMCAS systems, the height features observed at 50% drug loading level are
305
small and crowded, leaving the continuous phase with very limited space. The maximum distance
306
among the discrete domains are 21nm and 25nm for TPV-HPMCAS with 40% and 50% DL,
307
respectively. To date, the best lateral resolution obtained with the AFM-IR technique is around
308
20nm
309
resolution of AFM-IR is affected by film thickness and material thermomechanical properties 31, 33,
310
34
311
analytically challenging for the AFM-IR instrument to detect signals from each region without
312
interference. Therefore, the localized IR spectra were collected at an increased drug loading level
313
of 80%. The normalized local IR spectra for the 80:20 (w:w) TPV-HPMCAS system are shown in
32
. However, for systems with very small domain sizes, it may still be challenging, as the
. A typical spatial resolution of AFM-IR was reported to be around 100nm
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. Thus it is
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314
Figure 4B. The peaks at 1525 cm-1 have similar intensities in both the continuous and dispersed
315
phases. However, there is a clear increase in the intensity for the peak at 1236 cm-1 in the spectra
316
obtained from continuous phase, which is a HPMCAS specific peak (see Figure 2). Therefore, it is
317
apparent that the height features observed in this system are most likely due to phase separation
318
and the discrete domains appear to be drug-rich based on the IR spectra. Phase separation
319
appeared to occur when the drug loading exceeded 30%. Because the formation of two phases was
320
not observed until relatively high drug loadings, this system has a higher extent of miscibility
321
between the two components relative to TPV and HPMC. This makes it harder to chemically
322
discriminate the two phases since each phase will contain a relatively high amount of telaprevir. In
323
addition, it was observed that the miscibility of TPV and HPMCAS seemed to be somewhat
324
dependent on environmental moisture, especially for samples around 20-50% drug loading which
325
showed some day-to-day variations in microstructure. Unfortunately, it is not currently possible to
326
control RH during sample measurement, although it is known that water can promote phase
327
separation
328
clearly an interesting observation that warrants further study.
15, 37, 38
. Given that amorphous formulations contain some level of moisture, this is
329
For the TPV-PVPVA systems, localized IR spectra obtained from a 50:50 (w/w) system
330
are shown in Figure 4C. In the continuous phase, the intensity of the peak at 1244cm-1 (a PVPVA
331
specific peak) is greater than the telaprevir peak at 1525cm-1; whereas in the dispersed phase it is
332
weaker relative to the TPV peak at 1525cm-1. Similarly, spectral mixing is also observed in this
333
system. Preliminary analyses of the results suggest that the dispersed phase is telaprevir-rich, with
334
the continuous phase being rich in PVPVA.
335
To further elucidate the evolution of chemical composition in these systems with
336
increasing telaprevir concentration, the localized IR spectra for the dispersed phase for TPV-
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337
polymer systems were collected with increasing drug loading levels as shown in Figure 5. The
338
continuous phase was not investigated for these systems, as there was limited space to place the
339
AFM tip in between the discrete regions. The peak intensity at 1525 cm-1 was observed to increase
340
with increasing drug-loading levels, and, compared to the telaprevir peak, the intensities of the
341
polymer-characteristic peaks decreased. This might suggest that the telaprevir concentration
342
increased in the dispersed phase as drug loading increased. However, from a theoretical
343
perspective, this is not what would be expected, since phase separation should lead to two phases
344
of constant composition, whereby changing the drug loading within the region of the phase
345
diagram where there is a miscibility gap should only change the amount of each phase, rather the
346
composition of each phase. One explanation might be that the system is not in equilibrium and is
347
kinetically trapped. A more likely explanation is that these observations arise from limitations of
348
the analytical method in terms of being able to obtain spectra exclusively from each phase, without
349
contributions from the other phase, leading to spectral mixing; the extent of spectral mixing will
350
depend on the size and thickness of the domains. It can be noted that as the drug loading
351
increases, the size of the domains increases, both laterally and in the Z-direction. Consequently,
352
the higher apparent drug concentration in the disperse phase with increasing drug loading may be
353
a result of the increasing size of the drug-rich domains, and hence a lower spectral contribution
354
from the dispersed phase.
355 356
AFM-IR imaging
357
AFM-IR imaging, was performed based on select films. Peaks at 1525 and 1457 cm-1 for
358
TPV-HPMC systems, 1525 and 1740 cm-1 for TPV-HPMCAS systems, and 1525 and 1676 cm-1
359
for TPV-PVPVA systems were selected for IR imaging purposes. Drug loadings of 60%, 80%,
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360
and 30% were chosen for TPV-HPMC, TPV-HPMCAS, and TPV-PVPVA systems respectively as
361
these films contained domains of the appropriate size to generate significant IR signal contrast and
362
enable imaging of the continuous phase. The topographical image, IR image at 1525 cm-1
363
(telaprevir peak), ratio image of the two images obtained at the aforementioned two wavenumbers,
364
and the contact resonant frequency image obtained at 1525 cm-1 are shown in Figure 6.
365
For all systems, IR images obtained at 1525 cm-1 agree very well with the topographical
366
images whereby higher telaprevir signal corresponds to the discrete domains that are higher in
367
height. IR images at 1740 cm-1 for TPV-HPMCAS system, and that at 1676 cm-1 for TPV-PVPVA
368
system (polymer peaks), show similar patterns, i.e. higher absorbance for the drug-rich domains,
369
and lower absorbance in the polymer-rich domains. The AFM-IR signal intensity is linearly
370
dependent on the thickness of the absorbing material, which in these samples is determined by the
371
sample topography, in addition to other material properties such as the thermal expansion
372
coefficients of each component
373
independent leading to changes in relative peak intensities, as shown in the localized IR spectra
374
(Figure 4 and 5). Therefore, IR ratio images, instead of measurements at a single wavenumber, can
375
be used to reduce the influence of these factors and should be considered for miscibility evaluation
376
purposes. The ratio images for all samples shown in Figure 6 correspond very well with their
377
topographical images, confirming these systems are phase separated. For these images, which are
378
based on the ratio of a polymer peak/a drug peak, a higher intensity is seen for the continuous
379
phase relative to the discrete phase, confirming that it is polymer-rich.
29, 31
. However, these effects should be relatively wavelength
380
Because the cantilever acts like a spring-damper system where the tip resonant frequency
381
changes with variations in surface stiffness, frequency maps of heterogeneous samples can be
382
obtained by measuring the contact resonant frequency of the cantilever as a function of position on
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383
the sample 19. The cantilever oscillation is produced by the thermal pulse in the sample that results
384
from the IR radiation
385
AFM cantilever and the mechanical properties of the material the AFM probe is in contact with.
386
As the stiffness of the sample increases, the contact resonance will increase
387
images, shown in the lower panel of Figure 6, correspond well with the topographical features. For
388
TPV-HPMC and TPV-HPMCAS systems, the drug-rich phase (red colored domains) are stiffer
389
than the surrounding polymer (blue-colored regions in the frequency maps). For TPV-PVPVA
390
systems, the continuous phase is mostly uniform and lower in frequency, relative to the higher
391
frequency of the discrete domains, suggesting the polymer-rich phase is slightly stiffer than the
392
drug-rich domains.
19
. The frequency of this signal is a function of both the properties of the
19
. The frequency
393 394
Nano Thermal analysis
395
The Tgs of telaprevir, HPMC, HPMCAS, and PVPVA as measured using DSC are
396
summarized in Table 1. The Tg of telaprevir was determined to be 103oC, consistent with the
397
previously reported value of 105oC 4. It can be seen that the Tgs of telaprevir and PVPVA are very
398
similar, and hence bulk thermal measurements of Tg using a method such as DSC cannot be
399
readily employed to detect phase separation in such systems. NanoTA analysis, on the other hand,
400
can provide information about the thermal properties of individual domains. This is potentially
401
useful to provide information about the chemical composition and physical state of materials in
402
each domain in a phase separated system. The glass transition temperatures of the pure
403
components measured from spin coated films with nanoTA are shown in Table 2. For pure
404
amorphous telaprevir, the glass transition temperature measured by DSC is consistent with the
405
softening value measured by nanoTA. However, for pure polymers, there are some discrepancies
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406
between the values measured by these two techniques. The softening temperatures measured by
407
nanoTA are around 20-60oC higher than those measured by DSC.
408
The softening temperatures of individual domains in the phase separated systems were also
409
measured using nanoTA. A 60:40 (w/w) TPV-HPMC system, a 80:20 (w/w) TPV-HPMCAS
410
system, and a 30:70 (w/w) TPV-PVPVA system were used for nanoscale thermal analysis. The
411
results of local thermal analysis are shown in Figure 7. For the TPV-HPMC system, the softening
412
thermal event for the discrete regions occurred at around 130oC, consistent a thermal event
413
associated with a telaprevir-rich phase. It occurred at a temperature a little above the softening
414
temperature observed for pure telaprevir by nanoTA, possibly due to the presence of some HPMC
415
in this phase. Furthermore, the observation of a softening temperature in this temperature range
416
confirms that telaprevir is present in the amorphous state in the thin films and hence phase
417
separation is not due to crystallization; the melting point of telaprevir was measured by DSC to be
418
240°C. The thermal event observed in the continuous phase occurred at around 156oC, consistent
419
with the glass transition of an HPMC-rich phase. Similarly, the softening temperature for the
420
continuous phase was below that for pure HPMC, most likely due to the plasticization effect of
421
amorphous TPV. These results confirmed the partial miscibility of TPV and HPMC in these phase
422
separated domains. For the TPV-HPMCAS system, the thermal events observed for the
423
continuous and dispersed phases occurred at around 124oC and 143oC, respectively. This is
424
consistent with glass transition events for TPV- and HPMCAS-rich phases respectively. The
425
nanoTA thermograms obtained from the continuous and dispersed phases in the TPV-PVPVA
426
system are shown in Figure 7C. Here it is apparent that the thermal events for both the continuous
427
and dispersed phases occurred over a similar temperature range. This is readily explainable
428
because the glass transition temperatures for PVPVA and TPV are very similar (Table 1). The
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softening temperature for the continuous phase is higher than that of pure PVPVA. This may be
430
caused by intermolecular interactions between the two components 39.
431 432 433
Lorentz Contact Resonance (LCR) imaging To further explore the mechanical properties of each phase, Lorentz contact resonance 26
434
measurements were performed
. The mechanical spectra of pure telaprevir and polymers are
435
shown in Figure 8. Higher frequencies correspond to stiffer materials 40. The first and largest peak
436
represents the first flexural resonance mode, which is normally chosen for LCR imaging purposes
437
because of its high sensitivity and stiffness selectivity. It can be seen that the peaks for both
438
HPMC and HPMCAS appear at lower resonance frequency ranges compared to the telaprevir peak
439
(Figure 8B), confirming that telaprevir is slightly stiffer than HPMC and HPMCAS. It can also be
440
seen that HPMC is slightly softer than HPMCAS. Therefore, by scanning at these peak
441
frequencies, LCR images highlighting drug-rich and polymer-rich can be potentially obtained.
442
However, in this frequency range, PVPVA and TPV have virtually identical peak resonance
443
frequencies. To help differentiate these two components, a higher mode of the cantilever was
444
selected, and the second largest peak at around 710 kHz was used for LCR imaging for TPV-
445
PVPVA systems. The PVPVA peak appears at a higher frequency value compared to that of
446
telaprevir (Figure 8C), confirming PVPVA is slightly stiffer than TPV.
447
LCR images were then obtained at the selected contact resonant frequencies identified
448
from the mechanical spectra, where the cantilever oscillation amplitude differs depending on
449
material stiffness. The actual peak frequency used for the LCR imaging may vary slightly
450
compared to those shown in the mechanical spectra of the pure components shown in Figure 8.
451
This is due to the fact that when collecting a LCR image, the probe is translating across the
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452
sample, and the friction between the sample and probe induces a torque on the cantilever shifting
453
the resonant frequencies. Also, the drug-polymer systems may be partially miscible and the
454
presence of a second component in each domain would be expected to alter the mechanical
455
properties somewhat compared to those of the pure components. Therefore, the peak frequency
456
used was optimized for each system to provide maximum contrast. The LCR images (Figure 9)
457
showed good contrast at the two frequencies selected for TPV and the polymers and clearly
458
indicate the presence of two phases with different mechanical properties. For TPV-HPMC and
459
TPV-HPMCAS systems, for the LCR images obtained at 128kHz, the discrete domains give rise
460
to a stronger signal (more yellow color) than the continuous phase, indicating the presence of
461
telaprevir, which has a peak at this frequency. In contrast, the continuous phase gives rise to a
462
stronger signal at 123 kHz for TPV-HPMC and 124kHz for TPV-HPMCAS systems, suggesting
463
that these areas are have a high concentration of polymer. These results confirmed that the
464
polymer-rich regions are softer as compared to the drug-rich regions. Interestingly, for the TPV-
465
HPMC system, some of the small discrete regions highlighted in red circles in Figure 9A appear to
466
be polymer-rich, rather than drug-rich based on the mechanical images. This can be confirmed
467
from the IR images shown in Figure 6A where is it is apparent that these small discrete domains
468
do not show strong IR absorbance at 1525cm-1.
469
For the TPV-PVPVA system, the PVPVA-rich (continuous phase) phase was indicated in
470
the LCR images obtained at 129kHz. The contrast obtained at this frequency is mostly caused by
471
differences in resonance peak intensity between the two materials whereby the peak height for
472
PVPVA is significantly higher than that for telaprevir (Figure 8B). A higher frequency value of
473
710 kHz, where the drug and the polymer showed differences in mechanical properties, was
474
selected to identify the telaprevir-rich regions. Unlike AFM-IR imaging where the resolution is
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475
often limited by the properties of the sample (sample thickness, thermal diffusivity, etc), the
476
spatial resolution of LCR imaging is restricted by the tip radius of the cantilever used, resulting in
477
greatly enhanced resolution between the two phases compared to AFM-IR imaging.
478 479
Fluorescence imaging
480
To confirm phase separation in these telaprevir-polymer systems using a technique other
481
than AFM, fluorescence images were taken for these systems. Fluorescence imaging has been
482
used recently to identify phase separation in drug-polymer mixtures, and is based on the
483
preferential localization of a fluorescent additive in one of the phases
484
fluorescence microscopy images of films containing pyrene are shown in Figure 10. In a
485
chemically homogenous film such as HPMCAS (Figure 10A), it can be seen that pyrene
486
molecules are evenly distributed and no heterogeneity in fluorescence intensity was observed. In a
487
phase separated system, pyrene tends to accumulate in the more hydrophobic phase (the drug-rich
488
phase), therefore resulting in higher fluorescent emission in these regions
489
lower drug loadings, the domain sizes are below the diffraction limit of optical microscopy.
490
Therefore, higher drug loadings systems were chosen for fluorescence imaging. As shown in
491
Figure 10B-D, the dispersed phase showed higher fluorescence intensity than the continuous
492
phase, providing further confirmation that the dispersed phase is drug-rich.
41
41
. Representative
. For systems with
493 494
Discussion
495
As the utilization of amorphous solid dispersions as a means to overcome solubility limited
496
oral bioavailability grows, characterization of drug polymer miscibility becomes an increasingly
497
important topic. Various computational and experimental methods to explore drug-polymer
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16, 42-44
Page 24 of 46
498
miscibility have been employed
499
most common methods that has been used to evaluate miscibility, but suffers from a number of
500
limitations, motivating the implementation of alternative approaches
501
characterization technique should provide information about both domain size and composition in
502
samples showing poor miscibility. Composition information is important because the lower the
503
polymer content in the drug-rich phase, then the greater the likelihood of product failure via
504
crystallization during storage; if the majority of the polymer is present in a separate phase, then it
505
will be unable to inhibit crystallization as effectively as compared to a miscible blend. Domain
506
size is important since this is likely to impact the performance of the ASD during dissolution.
507
From the limited number of studies that have explored this feature, it appears that the domain size
508
of phase-separated regions is typically less than a micron14, 16, 29, 41. The small domain size of
509
phase separated regions limits the range of available analytical techniques, precluding those with
510
low spatial resolution limits, which encompasses many routine pharmaceutical characterization
511
tools. Solid-state nuclear magnetic resonance spectroscopy (ssNMR) has emerged as a valuable
512
tool for miscibility characterization, but typically requires long analysis times, of the order of
513
several hours
514
allow interrogation of several types of material properties at sub-micron resolution, also offer
515
promise in the area of miscibility evaluation29, 41, 48. These AFM based techniques include AFM-
516
IR, nano-TA and nano-mechanical analysis. Herein, we have compared the type of information
517
that can be harnessed from the application of these techniques for miscibility evaluation of
518
telaprevir-polymer blends. This is a challenging system to evaluate since the drug has a very high
519
glass transition temperature, which is similar to that of the polymers investigated. This
520
immediately precludes the use of conventional thermal methods such as DSC. Furthermore, the
16, 46, 47
. Differential scanning calorimetry is probably one of the
10, 11, 45
. Ideally, the
. Recent developments in atomic force microscopy-based techniques that
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Molecular Pharmaceutics
521
TPV-HPMC and TPV-HPMCAS systems have very small domain sizes (below 50nm in a 10:90
522
(w/w) TPV-HPMC system and around 100-200nm in the other systems), which requires the use of
523
high-resolution imaging techniques. This limits the application of standard vibrational
524
spectroscopic imaging techniques which are restricted in terms of spatial resolution to a few
525
hundred nanometers by the diffraction limit of light. Furthermore, it is well known that differences
526
in surface features, which are readily discernable with standard AFM imaging techniques, do not
527
always correlate to differences in composition, therefore orthogonal characterization techniques
528
are needed in order to fully characterize the system properties 49-52.
529
AFM-IR has been shown previously to provide detailed chemical information for different
530
domains in drug-polymer mixtures 18, 29, 41, 48. In principle, the chemical composition of each phase
531
can be evaluated in a phase-separated system. However, the spatial resolution of AFM-IR can be
532
limited by various factors. In this study, an IR imaging attempt for a 50:50 (w/w) TPV-HPMCAS
533
system was not successful, possibly due to the small domain size of this system (122nm wide and
534
13nm high), or because of low spectral contrast between the two phases, or come combination of
535
the two issues. The low spectral contrast in this instance is due to the relatively high miscibility of
536
the telaprevir-HPMCAS system; the system only showed phase separation when the drug loading
537
exceeded 30- 40%. Therefore, when phase separation occurs, the composition difference between
538
the two phases is much smaller than for systems that show phase separation at very low drug
539
loadings and have a larger miscibility gap. Consequently, the spectra from each domain are similar
540
since both phases contain both TPV and HPMCAS. The small domain size also can be
541
problematic because it becomes difficult to obtain the IR response exclusively from the relevant
542
domain. This is because the IR radiation may penetrate through the domain such that the
543
underlying material contributes to the observed spectrum. In this study, localized IR spectra
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544
obtained from the dispersed and continuous phases for a 50:50 (w/w) TPV-HPMCAS system were
545
identical (Figure S3, supporting information). Therefore, no chemical discrimination could be
546
achieved for the 50:50 (w/w) TPV-system via nanoIR. In contrast, the TPV-PVPVA film showed
547
signs of discrete domain formation at much lower drug loadings based on the topographical
548
images (Figure 3C), and nanoIR could readily distinguish the drug-rich and polymer-rich phases at
549
a 30% drug loading (Figure 6).
550
Nano-TA analysis can reveal the physical state of individual domains on the surface of the
551
sample. Not only can it be used to confirm that these telaprevir-polymer systems are phase-
552
separated based on different localized thermal softening behavior, but it also provides
553
confirmation that telapreivr exists in an amorphous form in these solid dispersion films over the
554
time course of this study. However, its applicability is limited for samples with similar Tgs.
555
Consequently, for the systems under evaluation in this study, this approach provided the most
556
useful data for the dispersions made with the higher Tg cellulose derivatives.
557
Nano scale mechanical spectroscopy and LCR imaging are independent of material
558
absorptivity and sample thickness, and therefore can potentially overcome some of the limitations
559
that were observed with AFM-IR for these systems. Indeed, we found that greatly enhanced spatial
560
resolution could be achieved with LCR imaging. This method is thus especially beneficial for
561
systems with very small domain sizes and weak IR absorptivity. The smallest height feature that
562
was discriminated with LCR imaging (highlighted in blue circles) had a diameter of around 98nm
563
(Figure 9A). LCR images also showed good contrast for the 50:50 (w/w) TPV-HPMCAS system
564
(data not shown) where the average domain size was 122nm and the maximum space among
565
discrete domains is 25nm; no contrast between phases could be achieved with AFM-IR for this
566
system.
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567
It is important to understand that these nanoscale techniques sample different volumes of
568
material when making the measurement, impacting the spatial resolution and the depth sensitivity.
569
The nanomechanical measurements, such as LCR, are limited in spatial resolution by the contact
570
area between the probe and sample. The contact area depends on the tip radius used, the normal
571
force applied and the stiffness of the sample, so is somewhat variable, but is typically in the 10 nm
572
range if the force is minimized. The depth sensitivity is similar to the contact area, so this is
573
strictly a surface sensitive technique. The nanoTA technique is similar to the nanomechanical
574
technique, but typically higher normal forces are applied between the tip and sample. In addition
575
once the sample undergoes a thermal transition, it will typically soften significantly leading to a
576
larger penetration into the sample. This will result in a typical spatial resolution of 100 nm and a
577
depth sensitivity of approximately half that. The AFM-IR technique works by measuring the
578
oscillation of the cantilever caused by the rapid expansion of the sample due to absorption of the
579
IR illumination. The volume of material which expands depends on the thickness of the absorbing
580
material, the absorption coefficient of the material, and any mechanical constraints which limit the
581
expansion of the material. Typically, to achieve the highest spatial resolution, the thickness of the
582
absorbing material needs to be thin, on the order of a few 100 nanometers. This will lead to a
583
spatial resolution of ~100 nm. The AFM-IR signal is an integration of the absorption of the IR
584
light through the thickness of the material, and so is not limited to the surface of the material,
585
meaning that if there is material variation through the thickness of the sample, the resultant AFM-
586
IR signal will be a mix of these components.
587
Nanoscale IR, TA, and LCR analysis are clearly powerful tools in miscibility evaluation,
588
particularly when used in concert. These AFM-based techniques can be used to determine the
589
miscibility behavior of systems that are ambiguous and analytically challenging, and obtain
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590
detailed information on sample chemical composition and physical properties. Combined with
591
AFM imaging, these techniques enable miscibility to be evaluated at high spatial resolution,
592
providing information about both domain size and chemical composition of each of the phases.
593
The results of this study indicate that telaprevir and HPMCAS are phase separated at drug
594
loading levels above 30% when prepared as thin films prepared by spin coating under ambient
595
conditions. Furthermore, the TPV-HPMCAS system appears to be the most miscible of
596
dispersions tested with ASDs formed with PVPVA or HPMC showing signs of phase separation at
597
lower drug loadings. Interestingly, the commercial formulation of telaprevir (Incivek®) is an
598
amorphous solid dispersion product formulated with HPMCAS, and produced by spray drying.
599
Clearly it would be of interest to further investigate the impact of excipients and processing
600
conditions on the microstructure and miscibility of TPV-HPMCAS, applying some of the
601
techniques that have been described herein. Advanced sample preparation techniques, such as
602
embedding and microtoming, are likely to be required to enable the evaluation of spray dried
603
particles with these methods.
604 605
Conclusions
606
The miscibility of telaprevir with three different polymers was evaluated using nanoscale
607
infrared spectroscopy, thermal analysis, and Lorentz contact resonance measurements. It was
608
challenging to characterize miscibility for some of these systems due to the similarity in Tgs of the
609
components as well as the small domain sizes of the phase-separated regions. By combining the
610
chemical composition information obtained from nanoscale infrared spectroscopy, the softening
611
behavior as evaluated from nano thermal analysis, mechanical analysis of the samples using
612
Lorentz contact resonance measurements, with standard AFM imaging, it was possible to
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613
characterize the microstructure as a function of polymer type and amount and to determine that
614
phase separation had occurred. The drug-rich phase was found to form discrete domains of various
615
sizes depending on the system, ranging from below 50 nm to a few hundred nanometers, while the
616
continuous phase was polymer-rich. The nanoscale characterization techniques provided detailed
617
information about surface features, chemical composition, and physical properties. Such
618
information is essential to better understand relationships between microstructure and product
619
performance.
620 621
Acknowledgements
622
The authors would like to thank the National Science Foundation through grant number
623
IIP-1152308, the National Institutes of Health through grant numbers R41 GM100657-01A1 and
624
R42 GM100657-03, and the United States Food and Drug Administration under Grant Award
625
1U01FD005259-01 for financial support. We gratefully acknowledge Kevin Kjoller, Michael Lo,
626
Caitlin Schram, and Aaron Harrison for technical training and helpful discussions.
627 628
Abbreviations
629
AFM, atomic force microscopy; API, active pharmaceutical ingredients; ASD, amorphous
630
solid
dispersion;
HPMC,
hydroxypropyl
methylcellulose;
631
methylcellulose acetate succinate; IR, infrared; LCR, Lorentz contact resonance; TA, thermal
632
analysis; PTIR, photothermal-induced resonance; PVPVA, polyvinylpyrrolidone/vinyl acetate;
633
TPV, telaprevir.
634 635
Associated content
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HPMCAS,
hydroxypropyl
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636
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Supporting information
637
A representative optimization map showing a distinct IR hotspot (Figure S1), sample
638
topography after nanoTA ramps (Figure S2), and normalized localized IR spectra for a 5:5 (w/w)
639
TPV-HPMCAS system (n=5) A) original B) overlaid (Figure S3) are provided as supporting
640
information. This material is available free of charge via the Internet at http://pubs.acs.org.
641
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795
Molecular Pharmaceutics
Figures
O NH O O
O H N
N N H
OR
OR NH H
O
N
O O
O N H
OR
n R=H or CH3 or CH2CH(OH)CH3
telaprevir
CH 2OR O OR
HPMC
OR O
O OR
CH 3
OR O CH 2OR
C n
R=H, CH3, CH2CH(OH)CH3, COCH3, COCH2CH2COOH, CH2CH(OCOCH3)CH3, CH2CH(OCOCH2CH2COOH)CH3
796 797 798
N CH
O CH 2
n
O
O
CH
CH 2
PVPVA
HPMCAS
Figure 1 Molecular structures of telaprevir and polymers
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m
Molecular Pharmaceutics
A
B
C
Absorbance
Absorbance
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
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1800
799 800 801 802 803
1600
1400
1200
Wavenumber (cm-1)
1800
1600
1400
1200
Wavenumber (cm-1)
Figure 2 Reference mid-IR spectra and topographical images (1200-1800 cm-1, normalized) of telaprevir and polymers (From top to bottom: TPV, HPMC, HPMCAS, PVPVA). (A) topographical images (B) bulk transmission spectra and (C) localized IR spectra obtained from spin coated films of pure substances (n=9)
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804 805 806
Molecular Pharmaceutics
A
B
C
Figure 3 Topographical images of TPV-polymer systems at different drug loadings (From top to bottom: 1:9, 2:8, 3:7, 4:6, and 5:5 drug to polymer ratio) (A) TPV-HPMC (B) TPV-HPMCAS (C) TPV-PVPVA
ACS Paragon Plus Environment
Molecular Pharmaceutics
807 A
Absorbance
continuous
dispersed
1800
1600
1400
1200
Wavenumber (cm-1)
808 B
Absorbance
continuous
dispersed
1800
1600
Wavenumber
809
1400
1200
(cm-1)
C
continuous
Absorbance
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
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dispersed
1800
810 811 812 813
1600
Wavenumber
1400
1200
(cm-1)
Figure 4 Topographical images and normalized localized IR spectra TPV-polymer systems (A) 6:4 (w/w) TPV-HPMC system (n=4) (B) 8:2 (w/w) TPV-HPMCAS system (n=5) (C) 5:5 (w/w) TPV-PVPVA system (n=5)
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814 A
B
C
2:8
1:9
5:5
Absorbance
4:6
6:4
7:3
Absorbance
2:8 3:7
Absorbance
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
Molecular Pharmaceutics
3:7
4:6 5:5
1800
815 816 817 818
1600
1400
Wavenumber (cm-1)
1200
8:2
1800
1600
1400
1200
Wavenumber (cm-1)
5:5
1800
1600
1400
1200
Wavenumber (cm-1)
Figure 5 Localized nanoscale mid-IR spectra of TPV-polymer systems at different drug-to-polymer ratios (n=5) (A) TPV-HPMC, dispersed phase (B) TPV-HPMCAS, dispersed phase (C) TPV-PVPVA, dispersed phase
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819
820 821 822 823 824 825 826 827
A
B
C
Figure 6 Nanoscale mid-IR image of TPV-polymer systems (A) 60:40 (w/w) TPV-HPMC system(from top to bottom: topographical image, IR image at 1525 cm-1, ratio image (1457 cm1 /1525 cm-1), and frequency image) (B) 80:20 (w/w) TPV-HPMCAS system(from top to bottom: topographical image, IR image at 1525 cm-1, ratio image (1740 cm-1/1525 cm-1), and frequency image) (C) 30:70 (w/w) TPV-PVPVA system (from top to bottom: topographical image, IR image at 1525 cm-1, ratio image (1676 cm-1/1525 cm-1, and frequency image)
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828
829
830 831 832 833 834 835
Figure 7 NanoTA measurements of TPV-polymer systems (A) 60:40 (w/w) TPV-HPMC system (n=5 for each phase) (B) 80:20 (w/w) TPV-HPMCAS system (n=6 for each phase) (C) 30:70 (w/w) TPV-PVPVA system (n=5 for each phase)
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Molecular Pharmaceutics
Amplitude (V)
A
TPV HPMC HPMCAS PVPVA 0
250
500
750
1000
Frequency (kHz)
836
Amplitude (V)
B
TPV HPMC HPMCAS PVPVA 110
120
130
140
150
Frequency (kHz)
837 C
TPV PVPVA Amplitude
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
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700
838 839
705
710
715
720
Frequency (kHz)
Figure 8 Reference mechanical spectra (A) original (B, C) enlarged ACS Paragon Plus Environment
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840 841 842 843 844 845
Molecular Pharmaceutics
A
B
C
Figure 9 LCR images of TPV-polymer systems (A) 60:40 (w/w) TPV-HPMC system (from top to bottom: topographical images, LCR image at 128kHz, and LCR image at 123kHZ) (B) 80:20 (w/w) TPV-HPMCAS system(from top to bottom: topographical images, LCR image at 128kHz, and LCR image at 124kHZ) (C) 50:50 (w/w) TPV-PVPVA system(from top to bottom: topographical images, LCR image at 710kHz, and LCR image at129kHZ)
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
846 847 848 849 850
Figure 10 Representative fluorescence images of TPV-polymer films containing pyrene (A) HPMCAS (B) 60:40 (w/w) TPV-HPMC (C) 80:20 (w/w) TPV-HPMCAS (D) 50:50 (w/w) TPVPVPVA
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Table 1 Glass transition temperatures of telaprevir, HPMC, HPMCAS, and PVPVA determined by DSC Compound TPV HPMC HPMCAS PVPVA
Tg (oC) 102.7±0.4 140±5 122±1 108±1
854 855
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
856 857 858
859 860 861 862
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Table 2 Softening (glass transition) temperatures of telaprevir, HPMC, HPMCAS, and PVPVA determined by nanoTA System TPV HPMC HPMCAS PVPVA 60:40 (w/w) TPV-HPMC 80:20 (w/w) TPV-HPMCAS 30:70 (w/w) TPV-PVPVA a: pure component b: dispersed phase c: continuous phase
Tg (oC)a 102±5 209±11 151±2 132±3 NA NA NA
Tg1 (oC)b NA NA NA NA 130±2 124±14 131±5
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Tg2 (oC)c NA NA NA NA 156±5 143±3 146±4