Jaana Koskela1, Joshua J Sutton2, Tiina Lipiäinen1, Keith C Gordon2, Clare J Strachan1, Sara J Fraser-Miller2. 1. Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki FI-00014, Finland. 2. The Dodd-Walls Centre for Photonic and Quantum Technologies, Department of Chemistry, University of Otago, Dunedin 9054, New Zealand.
Abstract
Slurry studies are useful for exhaustive polymorph and solid-state stability screening of drug compounds. Raman spectroscopy is convenient for monitoring crystallization in such slurries, as the measurements can be performed in situ even in aqueous environments. While the mid-frequency region (400-4000 cm-1) is dominated by intramolecular vibrations and has traditionally been used for such studies, the low-frequency spectral region (<200 cm-1) probes solid-state related lattice vibrations and is potentially more valuable for understanding subtle and/or complex crystallization behavior. The aim of the study was to investigate low-frequency Raman spectroscopy for in situ monitoring of crystallization of an amorphous pharmaceutical in slurries for the first time and directly compare the results with those simultaneously obtained with mid-frequency Raman spectroscopy. Amorphous indomethacin (IND) slurries were prepared at pH 1.2 and continuously monitored in situ at 5 and 25 °C with both low- and mid-frequency Raman spectroscopy. At 25 °C, both spectral regions profiled amorphous IND in slurries as converting directly from the amorphous form toward the α crystalline form. In contrast, at 5 °C, principal component analysis revealed a divergence in the detected conversion profiles: the mid-frequency Raman suggested a direct conversion to the α crystalline form, but the low-frequency region showed additional transition points. These were attributed to the appearance of minor amounts of the ε-form. The additional solid-state sensitivity of the low-frequency region was attributed to the better signal-to-noise ratio and more consistent spectra in this region. Finally, the low-frequency Raman spectrum of the ε-form of IND is reported for the first time.
Slurry studies are useful for exhaustive polymorph and solid-state stability screening of drug compounds. Raman spectroscopy is convenient for monitoring crystallization in such slurries, as the measurements can be performed in situ even in aqueous environments. While the mid-frequency region (400-4000 cm-1) is dominated by intramolecular vibrations and has traditionally been used for such studies, the low-frequency spectral region (<200 cm-1) probes solid-state related lattice vibrations and is potentially more valuable for understanding subtle and/or complex crystallization behavior. The aim of the study was to investigate low-frequency Raman spectroscopy for in situ monitoring of crystallization of an amorphous pharmaceutical in slurries for the first time and directly compare the results with those simultaneously obtained with mid-frequency Raman spectroscopy. Amorphous indomethacin (IND) slurries were prepared at pH 1.2 and continuously monitored in situ at 5 and 25 °C with both low- and mid-frequency Raman spectroscopy. At 25 °C, both spectral regions profiled amorphous IND in slurries as converting directly from the amorphous form toward the α crystalline form. In contrast, at 5 °C, principal component analysis revealed a divergence in the detected conversion profiles: the mid-frequency Raman suggested a direct conversion to the α crystalline form, but the low-frequency region showed additional transition points. These were attributed to the appearance of minor amounts of the ε-form. The additional solid-state sensitivity of the low-frequency region was attributed to the better signal-to-noise ratio and more consistent spectra in this region. Finally, the low-frequency Raman spectrum of the ε-form of IND is reported for the first time.
Crystallization is
a crucial process in pharmaceutical development
with the stability and the solubility of the active pharmaceutical
ingredient largely dictated by the solid-state properties.[1] During the early phases of drug development,
high-throughput crystallization screening is carried out to find the
most favorable solid-state form for a new drug candidate.[2]Real time monitoring can provide a more
complete understanding
of crystallization. Multiple analytical tools can be used for this
purpose, but for in situ monitoring, Raman spectroscopy
is especially convenient. The technique gives information on both
the chemical and the solid-state properties of the compound, and the
measurements are fast and nondestructive and can be performed even
in aqueous environments.[3,4] Spectral changes associated
with solid-state transformations can, however, be subtle and difficult
to detect in the conventional mid-frequency Raman (MFR) spectral region
(400–4000 cm–1). This is because these signals
originate from intramolecular vibrations and may be less sensitive
to the subtle changes in crystal structure that are rather mute to
the amorphous form. Low-frequency Raman (LFR) spectroscopy (<200
cm–1) may be a much more incisive probe of the crystalline
state because many of the transitions at these low frequencies are
associated with intermolecular vibrations or phonon modes. These modes
are intrinsically sensitive to the nature of the crystal state (the
polymorph).[5] The LFR spectra are similar
in their information content to that of THz spectroscopy,[6,7] which has found wide application in polymorph identification.[8] For example, quantitative solid-state analysis
of pharmaceutical ternary powder mixtures gave better results in terms
of lower errors of prediction of the models in the LFR region when
compared to the MFR region.[9] Even in the
amorphous form, the LFR spectrum gives distinct broad spectral features,
sometimes termed the Boson peak, arising from the excess of the density
of states relative to the Debye level.[10−12] These can be used to
interpret important properties, such as molecular mobility.[13]In slurries, where the drug is dispersed
in an aqueous external
phase, solid-state transformations are accelerated as the conversion
can occur directly from the solid or via solution, making slurry studies
useful for exhaustive polymorph and stability screening. As an example,
Surwase et al.[14] examined the crystallization
of amorphous indomethacin (IND) in slurries with aqueous media and
different pH values and temperatures. At 5 °C and pH 1.2, attenuated
total reflection (ATR) FTIR analysis revealed the amorphous drug sequentially
crystallized to three new polymorphic forms, ε, η, and
ζ, which had not been previously published, before the α-form
finally emerged. However, at 25 °C, the slurries converted directly
to the α-form.Crystallization of amorphous IND has been
studied with multiple
techniques and in different conditions. The amorphous form of IND
has a glass transition temperature of around 45 °C, and the recrystallization
product depends largely on the environment to which the solid is exposed.
For example, during storage at low humidity, crystallization leads
predominantly to the γ-form, whereas at higher humidity, the
α-form crystallizes.[15] Multimodal
nonlinear optical imaging has been used to image the crystallization
of amorphous IND on tablet surfaces at very early stages.[15] The same analytical technique has also been
used to assess the effect of solution-mediated crystallization of
IND on tablet surfaces during intrinsic dissolution studies.[16] The study showcased that after 15 min of dissolution
in phosphate buffer (pH 6.8) at 37 °C up to four different polymorphic
forms occurred simultaneously. In situ Raman microscopy
and polarized light microscopy have also been used to examine solution-mediated
crystallization during intrinsic dissolution testing.[17]Crystallization of amorphous indomethacin to the
γ-form in
solid samples has been monitored with both LFR and MFR spectroscopy.[18,19] Hédoux et al.[19] examined the crystallization
of amorphous IND prepared with two different methods: quench cooling
and grinding at −196.15 °C. The method used to compare
the two spectral regions explored the first visible traces of crystallization
in the LFR and the MFR spectra. A conclusion was that the LFR (5–250
cm–1) was more sensitive for the detection of the
first traces of crystallization when compared to the C=O stretching
region (1500–1750 cm–1). Larkin et al.[18] also compared the two spectral regions, LFR
(8–200 cm–1) and MFR (1550–1750 cm–1), to monitor crystallization of amorphous IND (prepared
by quench-cooling the melt) over 8 days. Raman band height ratios
of the amorphous and crystalline signals were examined. A comparison
of the intensity of crystalline bands between the LFR and MFR regions
at 32/1621 cm–1 showed that, at low crystallinity,
the contribution of the MFR peak was greater when compared to that
of the LFR peak. In contrast, at 32/1699 cm–1, the
peak in the MFR region exhibited less Raman intensity early on.LFR spectroscopy has been used to quantitatively analyze ternary
powder blends comprising different polymorphic forms of piroxicam.[9] Furthermore, transmission LFR spectroscopy has
been used to quantify binary mixtures of carbamazepine polymorphs
compacted into tablets.[20] Larkin et al.[18] showed that LFR spectroscopy can be used to
detect different concentrations of IND in suspensions. In addition,
Salim et al.[3,4] demonstrated that LFR spectroscopy
can be used to monitor in situ solubilization of
suspended ferroquine in milk during digestion. Inoue et al.[21] have also monitored solid-state transformations
of carbamazepine in situ with LFR spectroscopy involving
a sampling probe. Form III was observed to transform into form I upon
heating the solid. The dissolution of form I into warm ethanol followed
by precipitation of form III upon cooling the solution was also detected.
In addition, dihydrate formation could be monitored when form III
was dispersed in different ratios of ethanol–water mixtures,
and the transformation kinetics were determined using multivariate
curve resolution.Despite the multiple studies carried out to
utilize LFR spectroscopy
as an in situ monitoring tool,[22−24] the solid-state
changes of an amorphous pharmaceutical in slurries have not yet been
probed. The inherently longer-range order requirement for defined
vibrational modes in the LFR range when compared with MFR warrants
further comparison of the two regions with respect to early stage
crystallization detection. The aim of this study was to compare LFR
and MFR spectroscopy for in situ monitoring of crystallization
of an amorphous pharmaceutical in slurries. The crystallization of
amorphous IND in slurries at two temperatures, 5 and 25 °C, was
monitored in situ with LFR and MFR spectroscopy.
The resulting spectra were analyzed using principal component analysis
(PCA) and partial least-squares discriminant analysis (PLS-DA).
Experimental
Section
Solid-State Form Preparation
Indomethacin (IND) (Sigma-Aldrich,
Saint Louis, USA, and Hawkins Pharmaceutical group, Minnesota, USA)
was used as a model drug, and the bulk material was in the γ-form.
The amorphous form was prepared from the γ-form by quench cooling
the molten drug on a heat sink placed on ice. The resulting glass
was placed in a desiccator over dry silica gel for 30 min and then
ground into a powder with a mortar and pestle. The α-form was
prepared by dissolving the γ-form in ethanol at 80 °C and
thereafter adding Milli-Q water at room temperature to initiate precipitation.[25] The δ-form was obtained by desolvation
of IND methanolate.[26] The ε-form
was obtained from an amorphous IND suspension prepared with pH 6.8
phosphate buffer.[27] The solid-state forms
were verified by Raman spectroscopy, Fourier transform infrared spectroscopy
and X-ray powder diffraction and are designated as the 0 timepoint
for offline measurements.
Sample Preparation
For the off-line
measurements, the
amorphous IND slurries (30 mg/mL) were prepared by adding 10 mL of
0.063 M aqueous HCl solution (pH 1.2) in a 20 mL scintillation vial.
The solids were dispersed in the media by stirring the sample in a
closed vial at a high speed for 15 s. Thereafter, the vial was kept
in an oil bath at 5 or 25 °C under continuous stirring at 500
rpm with a magnetic stirring bar for 24 h. Samples were taken from
the slurries at different time points for spectroscopic analysis including
Fourier-transform (FT) Raman spectroscopy, attenuated total reflection
Fourier transform infrared (ATR-FTIR) spectroscopy, and LFR spectroscopy.
Samples (500 μL) taken at 30, 60, 120, 240, 480, and 1440 min
were centrifuged, and the wet solid was analyzed. Slurries were prepared
and the samples, analyzed in triplicate.For the in
situ analysis, amorphous IND slurries (30 mg/mL) were prepared
by adding 550 μL of 0.063 M aqueous HCl solution (pH 1.2) into
a quartz cuvette (10 × 10 mm). To evenly disperse the solid,
the suspension was mixed with a Vortex touch mixer for 15 s. After
mixing, the cuvette was placed in a temperature-controlled cuvette
holder and in situ monitoring with Raman spectroscopy
was initiated. The slurry was kept at 5 or 25 °C under continuous
mixing with a magnetic stirring bar. Vortex mixing was repeated at
5, 15, 30, and 60 min time points to avoid aggregation of the solids.
Scanning Electron Microscopy
The morphology of the
particles in 25 °C slurries at different time points was examined
with scanning electron microscopy (SEM) (Quanta FEG 250, FEI Company,
Hillsboro, OR, USA). Samples (400 μL) taken at 3, 60, 120, 240,
and 1440 min were centrifuged, and the supernatant was removed. The
remaining wet solid was dried under vacuum for 30 min at room temperature.
The dried solid was gently broken up with a spatula and placed on
carbon tape attached to an aluminum stub. Excess particles were removed
with compressed air. Samples were coated with gold using a SCD 005
Cool Sputter Coater (Bal-Tec AG, Balzers, Liechtenstein) with a current
of 20 mA for 300 s.
FT-Raman Spectroscopy
The FT-Raman
spectrometer consisted
of a multiRam FT-Raman spectrometer (Bruker Optik, Ettlingen, Germany),
1064 nm Nd:YAG laser, and a D 418 Ge detector. Spectra were collected
using the defocusing lens to give a 2 mm diameter spot size, a laser
power of 150 mW, and 4 cm–1 resolution with each
spectrum having an average of 128 scans. Each off-line sample was
measured in triplicate.
FTIR Spectroscopy
ATR-FTIR measurements
were carried
out using a purged Vertex70 FTIR spectrometer (Bruker Optics, Ettlingen,
Germany) with a GladiATR diamond ATR accessory (Pike Technologies,
Madison, WI, USA). A background was acquired before each sample spectrum,
and each spectrum was the average of 256 scans collected over 50–4000
cm–1 at a 4 cm–1 spectral resolution.
Each off-line sample was measured in triplicate.
Low-Frequency
Raman Spectroscopy
In situ and off-line
analysis was carried out with a purpose-built Raman
setup[4,9,23,28] equipped with a 785 nm excitation laser (Ondax, Monrovia,
CA, USA). Before the sample was irradiated with a backscattering geometry,
amplified spontaneous emission was removed by using BragGrate bandpass
filters (OptiGrate, Oviedo, FL, USA). The focal spot diameter was
approximately 500 μm. Light scattered from the slurry (in situ) or solid placed in a divot (off-line) was collected
and filtered through a set of volume Bragg gratings (OptiGrate, Oviedo,
FL, USA) and then focused into an LS 785 spectrograph (Princeton Instruments,
NJ, USA) via fiber optics, which dispersed the scattered light onto
a Pixis 100 BR CCD detector (Princeton Instruments, Trenton, NJ, USA).
The spectral region was recorded from −345 to 2055 cm–1 with a resolution of 5–7 cm–1. This means
the low-frequency (LF) and mid-frequency (MF) spectral data were collected
simultaneously, allowing for a direct comparison between the two regions. In situ measurements were conducted for 24 h by collecting
one spectrum per minute (1 s integration × 60 coadditions). The
off-line measurements were acquired with a 0.1 s integration time
and 1200 coadditions to have a total measurement time of approximately
2 min per spectrum with each replicate time point measured in triplicate.
The in situ samples were prepared and measurements,
carried out in duplicate; the off-line samples were assessed in triplicate.
Spectral Preprocessing and Multivariate Analysis
The
785 nm Raman spectra (in situ and off-line) were
preprocessed to remove focused based differences between runs. For
the LFR, a linear baseline correction (−200 to 200 cm–1; anti-Stokes was included to minimize the alteration of the virtual
density of state (VDOS) signals) followed by standard normal variate
(SNV) normalization (20 to 200 cm–1) was used. For
the MFR, a linear baseline correction followed by SNV was carried
out on the 1425 to 1725 cm–1 spectral window. The
FT-Raman spectra (off-line) underwent the same preprocessing as the
785 nm MFR; linear baseline correction followed by SNV over the spectral
region 1425 to 1725 cm–1. The FTIR spectra were
preprocessed with SNV over the spectral window of 1500 to 970 cm–1.PCAs of the 5 °C (n =
2) and 25 °C (n = 2) in situ runs were carried out together with the LFR (20–200 cm–1) and MFR (1425–1725 cm–1) spectral windows analyzed separately. PCA was calculated on the
preprocessed spectra with the NIPALS algorithm and random cross validation
with 20 segments.The 25 °C data underwent PLS-DA to explore
the kinetics of
forming α-IND from amorphous IND. For the in situ data, the first three spectra from each run were given the dummy
variable “0” and the final three spectra from the two
runs were designated “1”. For the off-line data, the
0 min time point was designated “0” and the 1440 min
time point samples were designated “1”. A PLS model
was generated for each technique with the kernel PLS algorithm and
full cross validation. All other spectra were then projected onto
the models. The spectral preprocessing, PCA, and PLS-DA analyses were
carried out with Unscrambler X (version 10.4, Camo Software AS, Oslo,
Norway).
Results and Discussion
Particle Morphology
Visual inspection with off-line
SEM of the particles from the slurries at 25 °C was carried out
to gain information about the morphological changes of the suspended
particles over time. Indomethacin solid-state forms have distinct
differences in their morphologies: the γ-form and amorphous
form (prepared by cooling the melt and then grinding in this study)
have prismatic shaped particles whereas the α-form has needle-shaped
particles.[15,29]The SEM micrographs of
the samples taken at different time points suggest crystallization
to the α-form (Figure ). Around the beginning (3 min), the surfaces of the particles
were mostly smooth and largely resembled the amorphous particles not
exposed to the medium. Minuscule regions with small needle-like shapes
were, however, seen on the particles at 3 min. Small fragments could
also be seen on the amorphous particles, but the shape of these fragments
was somewhat random. At 60 min, the surfaces were largely covered
with needle-shaped structures. The surface morphology continued to
change over the 60 to 1440 min time period. The coverage became more
complete and thicker, and the surface crystals at 1440 min were slightly
thicker with a lower aspect ratio than at 240 min. The SEM micrographs
can, however, only give an estimate of the behavior of the slurries,
as the sample preparation could potentially cause additional solid-state
changes in the samples. To explore the solid-state nature of the morphological
changes, in situ low- and mid-frequency Raman spectroscopy
was used.
Figure 1
SEM micrographs of amorphous IND particles and samples taken from
slurry at 3, 60, 120, 240, and 1440 min and 25 °C. Magnifications:
top row 1000× and bottom row 5000× and 30 000×
for amorphous and slurry samples, respectively.
SEM micrographs of amorphous IND particles and samples taken from
slurry at 3, 60, 120, 240, and 1440 min and 25 °C. Magnifications:
top row 1000× and bottom row 5000× and 30 000×
for amorphous and slurry samples, respectively.
In Situ Raman Spectroscopy Analysis
Visual Inspection
of LFR and MFR Spectra
The raw and
preprocessed Raman spectra from representative in situ runs, collected from both the LFR and MFR, are presented in Figure . Each spectrum represents
an average signal from the solution and dissolved and solid indomethacin,
with the last one dominating the signal. Prior to preprocessing, the
Raman signal intensity in the LFR was substantially higher than that
in the MFR (Figure S1). This intensity
difference between the two spectral regions was discussed earlier
by Lipiäinen et al.[9] The enhanced
signal intensity from the low-frequency region is in part a consequence
of the Raman scattering dependence on ν;[4] as the low-frequency scattered photons are at shorter wavelengths,
they intrinsically scatter more effectively.[5]
Figure 2
Example
Raman spectra from the 25 and 5 °C runs. (a) 25 °C
LFR raw data, (b) 25 °C LFR preprocessed data, (c) 5 °C
LFR raw data, (d) 5 °C LFR preprocessed data, (e) reference LFR
spectra of indomethacin polymorphs, (f) 25 °C MFR raw data, (g)
25 °C MFR preprocessed data, (h) 5 °C MFR raw data, (i)
5 °C MFR preprocessed data, and (j) reference MFR spectra of
indomethacin polymorphs.
Example
Raman spectra from the 25 and 5 °C runs. (a) 25 °C
LFR raw data, (b) 25 °C LFR preprocessed data, (c) 5 °C
LFR raw data, (d) 5 °C LFR preprocessed data, (e) reference LFR
spectra of indomethacin polymorphs, (f) 25 °C MFR raw data, (g)
25 °C MFR preprocessed data, (h) 5 °C MFR raw data, (i)
5 °C MFR preprocessed data, and (j) reference MFR spectra of
indomethacin polymorphs.In the MFR, the bands
in the 1600–1725 cm–1 region correspond to
those in previously published Raman spectra
of the amorphous and α-forms of IND (Figure g,j).[30−32] The peaks arising from both the
benzoyl and acid C=O stretching are frequently used to differentiate
the different solid-state forms of IND. At the beginning of the in situ monitoring, for both the 5 and 25 °C runs,
a broad peak at around 1680 cm–1 due to benzoyl
C=O stretching in amorphous IND was present (Figure g,i).[30−32] At 1440 min,
the broad peak had disappeared at both temperatures and was replaced
by three narrower peaks corresponding to the α-form of IND.
The peak at 1691 cm–1 arises from non-hydrogen bonded
benzoyl C=O stretching,[30,32] while those around
1683 and 1652 cm–1 represent hydrogen bonded carbonyl
acid C=O stretching of the α-form.[30,32]The first Raman spectrum recorded during the continuous monitoring
for both the 5 and 25 °C runs exhibited no distinct spectral
peaks in the LFR, and the spectrum corresponds to the amorphous IND
spectrum superimposed over the aqueous media (Figure a–e). Spectra without the peaks in
the LFR are characteristic of the amorphous form, which shows typical
broad features associated with the VDOS.[32,33]At the end of the monitoring (1440 min), two subtle phonon
peaks
appear in the LFR at around 42 and 53 cm–1 and one
broader peak is around 60 cm–1 (Figure b,d). These peaks correspond
with previously published LFR spectra of the α-form of IND.[19,32,34] However, in contrast to the reference
spectra of the α-form, the LFR had an elevated baseline at the
end of the monitoring. The baseline effect is caused by the contribution
of the aqueous media in which the IND is suspended. The vibrational
nature of the phonon modes associated with the α-form of IND
were elucidated by Ruggiero et al.[34] with
the aid of theoretical solid-state density functional theory and ab initio molecular dynamics calculations. Briefly, most
of the peaks below approximately 44 cm–1 were attributed
to the conformationally rigid hindered rotational motions, whereas
the phonon modes with higher frequencies were mostly attributed to
the internal torsion-type motions.When no preprocessing was
applied, the baseline intensity decreased
substantially during the first 120 min in both regions and at both
temperatures (Figure a,c,f,h). This may be due to non solid-state related factors, such
as how well the particles are dispersed into the medium. However,
the change in the shape of the baseline observed in MFR indicates
that photoluminescence of the amorphous form plays a key role in the
baseline shift.In the MFR, the 25 °C runs featured α-IND
peaks beginning
to appear within 30 min (seen most easily with the preprocessed data, Figure g). The intensity
of these benzoyl and carbonyl acid C=O stretching peaks increased
up to approximately 200 min, after which no substantial changes were
visually apparent. The loss of the broad emissive signal in the raw
data also occurs on a similar time frame, Figure f. Overall, the spectra recorded in the MFR
at 25 °C suggest a direct conversion of the amorphous form toward
the α-form without any intermediate forms. This is consistent
with solution-mediated direct conversion of the suspended amorphous
form to the α-form at 25 °C and pH 1.2 observed by Surwase
et al.[14] The 5 °C runs appeared to
have similar features growing in (Figure i), albeit more slowly with no substantial
changes after approximately 700 min.In the LFR, the 25 °C
runs also show signs of crystallization
within 30 min (Figure b). A single peak started to evolve at around 61 cm–1, attributed to internal torsional-type molecular motion.[34] The peak can be associated with more than one
IND solid-state form: the most intense peaks for both the α-
and ε-forms appear around this region (Figure b). The α-form has a broad band from
around 46 to 75 cm–1 with two peak maxima at around
54 and 64 cm–1. The ε-form, of which the LFR
spectrum is published here for the first time, has a wide almost symmetrical
peak from around 23 to 100 cm–1. The wide peak sharpens
between 54 and 66 cm–1 with the apex at around 60
cm–1. More peaks associated with the α-form
appeared later on: within 45 min, a subtle peak appeared at approximately
52 cm–1, and after 120 min another one appeared
at approximately 42 cm–1. These peaks are due to
long/short-range order.[34] The intensity
of all the peaks grew over time, and after 400 min, no substantial
intensity changes were observed by visual inspection. The 5 °C
runs exhibit more subtle LFR changes; however, the spectral profiles
appear to more closely resemble the ε-form (Figure d).While visual inspection
provided an overview of the transformations
potentially taking place, the analysis of a large set of spectral
data is time-consuming, and subtle changes in the spectra might be
overlooked, especially from a kinetic perspective. Thus, multivariate
analysis was used to get more insight into the pathway and kinetics
of the crystallization.
Principal Component Analysis
PCA
was carried out on
the LFR and MFR regions for the duplicate 5 and 25 °C runs to
get an initial overview of the spectral trends and observed conversion
profiles. With the MFR, all runs (5 and 25 °C) moved directly
from positive PC1 (amorphous IND signals) to negative PC1 (α-IND
signals) score space with a smooth transition in PCs 1, 2, and 3 (no
obvious sharp turning points, Figure a). Slight differences between the 5 and 25 °C
trajectories were observed with the 5 °C tending to have more
negative PC3 space and 25 °C tending to have more positive PC3
space. There were observable differences in the movement of samples
with time in PC space between the 5 and 25 °C runs. When looking
at PC1 versus time, it is apparent that the 25 °C sample spectra
reached equilibrium after 200 min and the 5 °C run spectra did
not reach equilibrium until approximately 600 min (Figure S2).
Figure 3
Duplicate runs of the 5 and 25 °C samples with the
MFR spectral
region analyzed with PCA. (a) Scores plot for the first 3 PCs, accounting
for 55% of the explained spectral variance and (b) the associated
loadings plots and reference spectra in comparison to the spectra
generated during the replicate runs.
Duplicate runs of the 5 and 25 °C samples with the
MFR spectral
region analyzed with PCA. (a) Scores plot for the first 3 PCs, accounting
for 55% of the explained spectral variance and (b) the associated
loadings plots and reference spectra in comparison to the spectra
generated during the replicate runs.The LFR gave a similar trend for the 25 °C sample with the
spectra appearing to smoothly move from amorphous (positive PC1, negative
PC2, and positive PC3) to α-IND (negative PC1 and neutral PC2
and PC3) in PC scores space (Figure ). The 5 °C LFR counterparts displayed an interesting
series of turning points in PC space, which were observed in the same
pattern for both runs. The turning points were observed as follows:
the first at ∼280 min, the second at ∼870 min (run A)
or ∼600 (run B) min, and the third around 950 min (run A) or
1400 min (run B) after which samples moved toward the α-IND
space. Average spectra from the turning points are given in Figure S4. While the times of the turning points
differed between runs, the pattern of movement and differences in
spectra between the turning points were similar. These turning points
are tentatively attributed to transient and minority intermediate
metastable ε-polymorph formation. The loadings for the first
three PCs appear to describe different features present in different
solid-state forms of IND (Figure b). On the basis of the movement in PC space, the loading
features, and spectra observed at these turning points, the following
set of transitions appear to be occurring: (1) loss of amorphous signals
and a change in shape below 40 cm–1 with a hint
of ε-IND growing in at 62 cm–1, (2) increased
signals from ε- and α-IND, (3) changes at 30 cm–1 and below (possibly indicating changes in particle size/length scales
changing the optical/scattering properties of the sample), and (4)
growth of α-IND signals.
Figure 4
Duplicate runs of the 5 and 25 °C
samples with the LF spectral
region analyzed with PCA. (a) Scores plot for the first 3 PCs, accounting
for 97% of the explained spectral variance and (b) the associated
loading plots and reference spectra in comparison to the spectra generated
during the replicate runs. The numbers and arrows in (a) indicate
the movement of samples with time and the changing direction of this
sample movement in the PC score space.
Duplicate runs of the 5 and 25 °C
samples with the LF spectral
region analyzed with PCA. (a) Scores plot for the first 3 PCs, accounting
for 97% of the explained spectral variance and (b) the associated
loading plots and reference spectra in comparison to the spectra generated
during the replicate runs. The numbers and arrows in (a) indicate
the movement of samples with time and the changing direction of this
sample movement in the PC score space.The direct transition from amorphous to α at 25 °C and
pH 1.2 is consistent with the observation of Surwase et al.;[14] while the observations diverge at 5 °C,
Surwase et al. observed the following transitions: amorphous to ε
to ζ to η to α. There were, however, several experimental
differences between the studies. Sample differences included the rate
of cooling the indomethacin melt (over ice vs liquid nitrogen), subsequent
grinding of the glass (mortar and pestle vs oscillatory ball mill),
and suspension stirring dynamics (cuvette vs vial, volume, stirring
speed), all of which may have impacted the crystallization behavior.
The measurement procedures also may have had an impact on the observed
crystallization behavior with the current study employing online analysis
(with Raman), while that of Surwase et al. relied on off-line sampling
with sample centrifugation prior to the strongly surface biased ATR-FTIR
analysis. In any case, the observed differences serve to highlight
the exquisitely sensitive and complex solution-mediated polymorphic
behavior of indomethacin upon crystallization at 5 °C with the
potential for several forms to coexist during crystallization.The difference in observed trajectories between the LFR and MFR
regions could be due to a couple of factors. One possibility is that
the LFR region is more sensitive to the solid-state form due to the
intermolecular nature of the vibrations probed. There is also a signal-to-noise
(S/N) advantage in the LFR region, meaning the spectra from LFR are
potentially more sensitive to subtle changes in sample composition.
The signal from the MFR region may just be too noisy to pick up subtle
changes in minority polymorph signals. This high relative noise contribution
is also expressed in the relative variance explained with PCA with
the MF region explaining less spectral variance (3 PCs describe 55%
variance) compared with the LF region (3 PCs describe 97% variance)
due to the MF data being inherently noisier.As the 25 °C
samples displayed a smooth transition from amorphous
to α-IND (as evidenced by both the LFR and MFR regions), it
was deemed worthwhile to explore the potential of LFR and MFR to track
the kinetics of this transformation. The 5 °C LFR data was not
included in this analysis due to the complex nature of the transformation
profile (rather than a direct and exclusive transformation to the
α-form) complicating the application of supervised multivariate
analysis (in this case, partial least-squares discriminant analysis
(PLS-DA)).
Complementary Off-Line Analyses: ATR-FTIR
and 785 nm Dispersive
Raman
The in situ solid-state transformation
from amorphous toward the α-form was compared to off-line samples
analyzed with ATR-FTIR and 785 nm laser Raman spectroscopy with both
LFR and MFR detection (Figure ). ATR-FTIR spectra of the 5 °C data appeared predominantly
amorphous in nature for the 0 to 120 min time points and predominantly
the α-form from 240 min onward (Figure a). Both the LFR and MFR data exhibit changes
across the entire measurement time frame for the 5 °C samples.
For the MFR region, the spectra appear amorphous from 0 to 120 min
after which the 240–360 min time points exhibited poor S/N
ratios, making interpretation difficult. It is worth noting this happened
consistently across multiple (n = 3) runs where these
intermediate time points generated spectra with poor S/N ratios. The
latter time points (480 and 1440 min) were consistent with the α-form
(Figure c). In the
LFR region, this poor S/N ratio was not an issue due to the inherent
signal advantage in the LFR domain. In the LFR region, the spectra
appeared amorphous from 0 to 120 min after which a hint of the ε-
or α-form was observed with a broad feature at approximately
60 cm–1. The latter time points (360 to 1440 min)
showed increasing contribution from the α-form (Figure b).
Figure 5
Representative off-line
FTIR and Raman measurements collected at
0, 30, 60, 120, 240, 360, 480, and 1440 min: (a) IR 5 °C, (b)
off-line LFR 5 °C, (c) off-line MFR 5 °C, (d) ATR-FTIR 25
°C, (e) off-line LFR 25 °C, and (f) off-line MFR 25 °C.
Representative off-line
FTIR and Raman measurements collected at
0, 30, 60, 120, 240, 360, 480, and 1440 min: (a) IR 5 °C, (b)
off-line LFR 5 °C, (c) off-line MFR 5 °C, (d) ATR-FTIR 25
°C, (e) off-line LFR 25 °C, and (f) off-line MFR 25 °C.For the 25 °C samples, ATR-FTIR spectra from
the 30 min through
to the 1440 min time points were consistent with the α-form
(Figure d). In contrast,
the MFR spectra visibly changed up to 120 min (Figure f). At 30 min, the spectra had α-form
features beginning to grow in, but these peaks were not as sharp and
well-defined as at later time points. The LF region also appeared
to change on a similar time frame to the MF region with a slow evolution
of α-form features to 120 min after which the spectra remain
consistent (Figure e). Peaks related to the α-form continued to grow and sharpen,
and the amorphous features diminish up to 120 min.
Partial Least-Squares-Discriminant
Analysis (PLS-DA) of in Situ and Off-Line Measurements
PLS-DA models
were created using the first (designated 0) and last (designated 1)
three spectra from the in situ Raman runs and the
start (0 min) and end (1440 min) points of the off-line runs collected
at 25 °C. The regression coefficients for these models are given
in Figures S5 to S9. Only one factor was
required for each model with the weighted β-coefficient describing
the difference between amorphous (negative coefficients consistent
with amorphous spectral features) and α-IND (positive coefficients
consistent with α-IND spectral features) for each technique.
All spectra were then projected through these models to give an approximation
of the evolution of α-IND over time (Figure ). There were slight variations observed
between in situ runs, in particular the LFR appeared
sensitive to particle accumulation on the cuvette side and the dislodging
of said particles, which is the attributed source of the variance
(oscillations) in the LFR data of run A. To minimize this effect in
the future, the focal point of the measurement should be deep within
the sample rather than near the cuvette interface. Some avenues to
explore to minimize this effect include transmission low-frequency
Raman[20,35] or spatially offset low-frequency Raman[36] setups, which also have the advantage of probing
larger sample volumes.
Figure 6
Evolution of α-IND from amorphous IND at 25 °C
over
time based on PLS-DA projections. (a) The full time period and (b)
the first 5 h. These data include both in situ runs
detected with both LFR and MRF as well as the combined spectral regions
along with off-line measurements. Please note the associated regression
coefficients for these PLS-DA models are given in Figures S4 to S9.
Evolution of α-IND from amorphous IND at 25 °C
over
time based on PLS-DA projections. (a) The full time period and (b)
the first 5 h. These data include both in situ runs
detected with both LFR and MRF as well as the combined spectral regions
along with off-line measurements. Please note the associated regression
coefficients for these PLS-DA models are given in Figures S4 to S9.In comparison to the in situ results, the ATR-FTIR
data tended to overestimate the proportion of α-IND present
and the off-line LFR data appeared to underestimate the proportion
present in the early stages. All off-line data gave similar proportions
after 120 min (Figure ). The gray lines in Figure present the time points at which the SEM micrographs were
taken (Figure ). On
the basis of the micrographs, the surface of the particles were largely
covered with needle-shaped crystals at the 60 min time point. This
surface coverage of α-crystals is reflected in the ATR-FTIR
spectra and PLS-DA predictions at the 60 min time point, where the
predicted α-form concentration reached approximately 80% at
60 min.The difference between the IR and Raman results can
be explained
by the sampling depth of the two spectral analysis techniques. ATR-FTIR
is a surface-biased method as it only probes approximately 2 μm
from the sample surface, while the Raman setup has a substantially
deeper sampling depth of approximately 1 mm. The solution-mediated
crystallization in suspension begins at the surface of the amorphous
particles, and a complete coverage is reached relatively quickly,
as evidenced by the SEM analyses (Figure ). Thus, for the sample at 30 min, the ATR-FTIR
spectra indicated a complete transformation, whereas the Raman continued
to detect remaining amorphous IND at 60 min (Figure ).The off-line analyses only give
an estimate of the original sample:
the time delay between the sampling and analysis as well as any sample
preparation could potentially cause post-extraction solid-state changes
in the sample and thus different results. In this study, samples were
centrifuged before the analysis, which caused some time delay, and
for the SEM, the slurry samples had to be dried. Thus, in
situ measurements, in addition to being more convenient,
can give more precise information related to the crystallization kinetics
in slurries over time.PLS-DA analysis can only give an estimate
of the concentration
profiles from amorphous to α-form. The discriminant model assumes
a complete transformation from the pure amorphous form to pure α-form.
However, the crystallization process begins immediately after the
solid is exposed to the medium, and the three first spectra recorded
and used for building the model can also have some features from the
α-form. Also, it is possible that even after 1440 min some particles
contain some residual amorphousness buried within the particles, which
were not accounted for by the PLS-DA model.
Conclusions
This study represents the first direct comparison of LFR and MFR
for in situ analysis of crystallization in amorphous
drug slurries. The crystallization behavior of amorphous indomethacin
was continuously probed at pH 1.2 with constant stirring at two temperatures:
5 and 25 °C. At 25 °C, both spectral regions suggested a
direct solution-mediated crystallization to the α-form. At 5
°C, the observations between the spectral regions diverged: while
MFR did not provide evidence of intermediate solid-state forms, PCA
analysis of the LFR revealed several transitions, consistent with
the appearance of the minority intermediate ε-form. The additional
information in the LFR is largely attributed to its better signal-to-noise
ratio compared to MFR, which in turn, increases sensitivity to minority
and transient crystal forms. Finally, we also present the LFR spectrum
of the ε-form for the first time.
Authors: Malinda Salim; Sara J Fraser-Miller; Joshua J Sutton; Ka Rlis Be Rziņš; Adrian Hawley; Andrew J Clulow; Stéphane Beilles; Keith C Gordon; Ben J Boyd Journal: J Phys Chem Lett Date: 2019-04-23 Impact factor: 6.475