Qi Li1, Johanna Kölbel1, Margaret P Davis2, Timothy M Korter2, Andrew D Bond3, Terrence Threlfall4, J Axel Zeitler1. 1. Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, U.K. 2. Department of Chemistry, Syracuse University, 1-046 Center for Science and Technology, Syracuse, New York 13244, United States. 3. Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, U.K. 4. Department of Chemistry, University of Southampton, University Road, Southampton SO17 1BJ, U.K.
Abstract
Terahertz time-domain spectroscopy in a transmission geometry combined with visual analysis was used to investigate the crystallization process of MgSO4 solution. Careful spectral analysis of both a feature at 1.6 THz and the overall magnitude of absorption allowed the extraction of information about the liquid phase before and during crystallization, aiding the investigation of solvation dynamics and the behavior of molecular species at phase boundaries. The method was reproducibly applied to a number of measurements on a series of solutions of three chosen concentrations at different temperatures. When increasing temperature at the end of the measurement, the dissolution of crystals was observed as well. The temperature-dependent absorption data of the semicrystalline systems were converted to the solvent concentrations using a recently developed method. Solutions of a series of concentrations were also investigated in the temperature range of 4-25 °C. The results were compared to the theoretical calculated values, and the consistent differences proved the existence of a hydration shell around the salt ions whose behavior is different from bulk water. Future work will focus on triggering nucleation at specific positions in order to study the very beginning of the crystallization process. MgSO4 heptahydrate is used as a model system in this study, while the concept and the setup can be applied to other systems.
Terahertz time-domain spectroscopy in a transmission geometry combined with visual analysis was used to investigate the crystallization process of MgSO4 solution. Careful spectral analysis of both a feature at 1.6 THz and the overall magnitude of absorption allowed the extraction of information about the liquid phase before and during crystallization, aiding the investigation of solvation dynamics and the behavior of molecular species at phase boundaries. The method was reproducibly applied to a number of measurements on a series of solutions of three chosen concentrations at different temperatures. When increasing temperature at the end of the measurement, the dissolution of crystals was observed as well. The temperature-dependent absorption data of the semicrystalline systems were converted to the solvent concentrations using a recently developed method. Solutions of a series of concentrations were also investigated in the temperature range of 4-25 °C. The results were compared to the theoretical calculated values, and the consistent differences proved the existence of a hydration shell around the salt ions whose behavior is different from bulk water. Future work will focus on triggering nucleation at specific positions in order to study the very beginning of the crystallization process. MgSO4 heptahydrate is used as a model system in this study, while the concept and the setup can be applied to other systems.
The crystallization
process has been used for centuries as a purification
and separation step for various applications. Therefore, it is surprising
that empirical models rather than fundamental understanding still
govern the comprehension of crystallization’s underpinning
mechanisms and kinetics. What is well-established is that nucleation
and crystal growth are the two main steps contributing to the crystallization
process. However, the microscopic mechanism of the formation of the
nuclei and how they subsequently evolve into crystals is still unclear.[1−4] Two widely popular models are used to describe the crystallization
process: classical nucleation theory and nonclassical theory. The
former states that density and order fluctuations in the solution
cause the formation of crystal-like clusters, which in turn result
in nuclei that gradually grow into the crystal form defined by the
packing of the cluster.[5] The nonclassical
theory proposes that the clusters first formed are liquid like, and
crystalline order is only introduced later when they grow into nuclei.[6,7]One widely used model system for investigating crystallization
is the MgSO4–H2O system. A variety of
hydrate forms can crystallize depending on the temperature and concentrations
in solution, but this system also recently received added attention,
because the presence of such sulfates and their hydrated forms are
discussed as the origin of near-surface water content on Mars.[8] A comprehensive understanding of the crystallization
mechanism is highly desirable to support further research into this
topic.A range of techniques are widely used to investigate
the crystallization
process: traditional crystallographic methods to characterize crystalline
structures, such as small-angle and wide-angle X-ray scattering, X-ray
spectroscopy, and X-ray diffraction; spectroscopic techniques including
nuclear magnetic resonance (NMR), Fourier transform infrared spectroscopy
(FTIR), and Raman spectroscopy to provide insight into the chemical
structure and the shape of the molecules during crystallization; and
UV–vis spectroscopy to measure the solute concentration (but
this is of limited use when nascent particles result in scattering
losses that cannot be distinguished from absorption).[3,9] Turbidimetry is used to measure the loss of intensity of transmitted
light due to the scattering effect of those particles. Second-harmonic
generation and polarized light microscopy are applied to detect the
onset of crystallization but are not very sensitive to the structure.[10,11]When investigating crystallization in aqueous solutions, the
strong
absorption due to the presence of water makes it difficult to perform
FTIR measurements in transmission. Instead, observations are restricted
to surface measurements using attenuated total reflection (ATR). While
Raman spectroscopy does not suffer from this restriction, the lack
of interaction means that only very little information, if any, of
the solvent molecules during the crystallization process can be extracted.[12]Terahertz time-domain spectroscopy (THz-TDS)
offers a unique perspective
to characterize the crystallization process both in terms of information
from the solvent as well as the emerging crystals. By measuring the
amplitude and phase of single-cycle pulses of far-infrared radiation,
in solution, THz-TDS can probe large-amplitude intermolecular vibrations
as well as high-frequency dielectric relaxation processes that correspond
to relaxation times of less than 10 ps.[13] In solids, the technique can distinguish between different polymorphic
forms, cocrystals, hydrates, and solvates as well as provide an excellent
measure for overall crystallinity and defect density crystallinity,
since the long-range order in crystals results in well-defined spectral
features (fingerprints) in the terahertz region. In contrast, in amorphous
materials, the lack of long-range order results in the collapse of
the well-defined peaks into a vibrational density of states (VDOS),
which starts at a few hundred gigahertz and exceeds the entire spectral
bandwidth of many THz-TDS spectrometers (0.3 to 3 THz). It is characterized
by a featureless, monotonously increasing absorption coefficient that
typically peaks at frequencies beyond 3 THz.[14]The contributions of individual atomic motions in experimental
terahertz spectra are not discernible without additional information,
which is usually gathered from theoretical simulations. Density functional
theory (DFT) simulations provide normal mode vectors and force constants
and can therefore be used to investigate and visualize vibrational
modes.[15]Studies of water and water/alcohol
mixtures with THz-TDS suggested
key concentration transition points that marked different stages of
water and alcohol molecular interactions.[16] Other water mixtures and solutions also demonstrated the use of
THz-TDS to probe water molecules based on their mobilities and the
behavior of the hydration shell.[17,18] As well as
for characterizing static structures, THz-TDS has also been found
useful to probe reaction dynamics, such as solid–solid phase
transitions, amorphous–solid transformations, and crystallization.[13,19−21]Previously, terahertz spectroscopy has been
applied to study the
crystallization of sugar and l-(+)-tartaric acid utilizing
attenuated total reflectance geometry and triggering the crystallization
process by the evaporation of water from the aqueous solution.[20,21] In a separate experiment, terahertz narrow-band absorption and time-domain
spectroscopy were combined to investigate the early stages of CaCO3 nucleation. Experimental evidence for the nucleation to occur
via the prenucleation pathway for aqueous systems was found.[22]During crystallization, the VDOS is depleted,
resulting in the
emergence of peaks and a dropping of the overall baseline given its
nature as the flank of the VDOS. It is important to emphasize that
this change in the spectral response of the absorption baseline in
the frequency range studied is not the result of a drift in the background
signal but contains quantitative information regarding the depletion
of the VDOS as well as the dielectric relaxation dynamics on picosecond
to femtosecond time scales. THz-TDS can therefore simultaneously probe
amorphous and crystalline phases represented by the behavior of the
baseline and peaks, respectively. In addition, this suggests that
the behavior of the liquid phase can be extracted from the baseline
while crystallizing; hence, the solute concentration can be measured
even in semicrystalline samples.[23]MgSO4 is chosen as a model system to demonstrate that
THz-TDS is an option to complement the currently widely applied tools
in the field of crystallization. The versatile setup based on THz-TDS
in transmission geometry and the methodology described in detail in
refs (24) and (23) is further used to observe
the dissolution of crystals at elevated temperatures as well as calculate
the equivalent local concentration and can be extended to other systems
of interest.
Methods
Solid-State
Sample Measurements
Commercial samples
of four different MgSO4 hydrates were investigated (as
listed in Table S1 in the SI). Powder X-ray
diffraction measurements were made on a Panalytical XPert Pro diffractometer
in Bragg–Brentano geometry using nonmonochromated Cu Kα
radiation (λave = 1.5418 Å). Samples were prepared
on glass flat-plate sample holders, and data were measured over the
range 2θ = 5 to 70° with an effective step size of 0.0167°
and counting time of 60 s per step. Measured data were compared to
simulated patterns generated using Mercury[25] from available crystal structures of MgSO4,[26] MgSO4·H2O,[27] and MgSO4·7 H2O.[28]For terahertz measurements, the crystalline
samples were ground gently in an agate mortar with a pestle, and the
polycrystalline samples were then mixed with polyethylene (Induchem,
Volketwil, Switzerland) to a defined concentration that varied for
different hydrates, as detailed in Table S1 in the SI.The well-mixed powder was compressed into a pellet
of 13 mm diameter
with a thickness of 2 to 3 mm using a hydraulic press (Specac Ltd.,
Kent, UK) at a load of 2 ton, and a blank polyethylene pellet prepared
in the same way was used as a reference. During the THz-TDS transmission
measurement, 1000 waveforms were acquired and averaged, with a resolution
of 0.94 cm–1.Additionally, a supersaturated
solution of MgSO4 was
prepared from MgSO4 heptahydrate 98% (Sigma-Aldrich, Gillingham,
UK) dissolved in Milli-Q water (IQ 7000, Merck, Darmstadt, Germany,
resistivity 18.2 MΩ·cm) and filled into a well-sealed Petri
dish. The Petri dish was left in a fume hood at 20 °C until crystals
formed. This process was to mimic the crystallization process in the
crystallization cell. Due to constraints of the setup, it was impossible
to investigate crystals grown directly in the microfluidic cell at
cryogenic temperatures. The crystals grown in the Petri dish were
made into pellets using the method described above and characterized
at cryogenic temperatures with terahertz spectroscopy later to confirm
their structure more accurately.THz-TDS measurements were performed
with a commercial spectrometer
TeraPulse 4000 (TeraView Ltd., Cambridge, UK), and the measurement
chamber was purged with nitrogen to eliminate the effect of water
vapor. Variable-temperature measurements were facilitated by a cryostat
(Janis, Massachusetts, USA), and the temperature was well-controlled
with an attached temperature controller Lakeshore 330 (Ohio, USA).
The sample pellets were first cooled down to 80 K and then heated
up in steps to 300 K to examine the temperature-dependent behavior
of the spectral features. Measuring commercial samples at room temperature
allows the direct comparison of their spectra with those acquired
during crystallization experiments. However, acquiring spectra for
crystalline samples at lower temperatures improves their quality,
since absorption in the terahertz region is highly affected by the
temperature background, reflected in effects such as peak broadening
and peak shifting.
Computational Methods
The solid-state
density functional
theory (ss-DFT) program CRYSTAL17[29] was
used to perform geometry optimization and frequency analysis calculations
on crystalline MgSO4 heptahydrate using periodic boundary
conditions. All calculations utilized the revised version of the Peintinger–Oliverira–Bredow
split-valence triple-ζ basis set (pob-TZVP-rev2)[30] and the Becke–3-Lee–Yang–Parr
(B3LYP)[31,32] hybrid density functional. The B3LYP density
functional was supplemented with Grimme’s noncovalent dispersion
correction (D3) and the Becke–Johnson damping correction[33−35] with three-body Axilrod–Teller–Muto repulsion contributions
(program keyword “ABC”).[36−38] In all MgSO4 heptahydrate calculations, 125 k-points were used in the irreducible
Brillouin zone (keyword SHRINK=9), and 99 radial
point and 1454 angular points were used for the pruned integration
grid. The overlap-based truncation criteria for the bielectronic integrals
(Coulomb and exchange) (program keyword “TOLINTEG”)
were set to 10–12, 10–12, 10–12, 10–20, and 10–40 for all calculations, and the maximum order of multipolar expansion
was set to 6 (program keyword “POLEORDR”). The starting
structure for MgSO4 heptahydrate was published by Ferraris,
Jones, and Yerkess in 1973,[28] and the initial
ionic charges were explicitly set to Mg2+ and (SO4)2–. In the geometry optimization, the lattice
dimensions and atomic positions were allowed to fully optimize within
the P212121 space
group (Schoenflies symbol: D24), and the energy convergence was set to ΔE < 10–8Eh. The
optimized structure was used to calculate the vibrational frequency
analysis, and the energy convergence was set to ΔE < 10–10Eh. The
vibrational frequency analysis determined that the optimized structure
was a minimum on the potential energy surface (no negative frequencies).
During the frequency analysis, each atom was displaced twice along
each Cartesian axis, and the numerical derivatives of the Hessian
matrix were calculated using the central difference formula. The IR
intensities were calculated using the Berry phase method.[39,40]
Crystallization Measurements
To investigate crystallization,
magnesium sulfate solutions were prepared at various concentrations
using commercial MgSO4 heptahydrate 98% (Sigma-Aldrich,
Gillingham, UK). The sample was dissolved in Milli-Q water (IQ 7000,
Merck, Darmstadt, Germany, resistivity 18.2 MΩ · cm) in
a beaker, which was then left on a magnetic stirrer until the crystals
were fully dissolved. After several rounds of preliminary experiments,
three concentrations (mass ratio of MgSO4 heptahydrate
to water) were chosen for further repeats: 1.41:1, 1.29:1, and 1.20:1,
corresponding to molar ratios of 0.103:1, 0.094:1, and 0.088:1, respectively.
This was based on the time and temperature observed for crystallization.A detailed description of the crystallization setup was given in
an earlier paper.[24] The setup consisted
of a liquid cell (thickness 100 μm) that was held by a hollow
metal sample holder, inside of which water was circulated. The temperature
of the circulating water was controlled via an external water bath,
and its temperature was balanced between an electric heater and a
surrounding ice bath with an accuracy of 0.1 °C. The operation
temperature was in the range of 4 to 90 °C, and during the experiments
described here, it was operated between 4 to 25 °C.The
temperature during measurements was recorded independently
at three different positions in the setup. It was not possible to
measure the actual temperature inside the liquid between the spacers
of the cell due to space constraints, but one reading was taken in
immediate proximity. The temperature measurement instrument had a
resolution of 0.025 °C for the Type K thermocouples used. The
thermal mass of the metal block that was attached to the quartz cell
and that was used to circulate the water through was much larger than
that of the crystallization cell, and any potential temperature difference
would therefore be negligible in the context of this experiment.Air was used as the reference, and the high-resolution mode of
the spectrometer was utilized to extend the extent of acquired time-domain
waveforms to 45 ps. Each spectrum was formed of the average of 15
individual waveforms with a spectral resolution of 0.94 cm–1, resulting in an acquisition time of 20 s per spectrum. The valid
frequency range was from 0.35 to 2 THz.When monitoring the
crystallization process at a set temperature,
the cell was first cooled down and kept constant at the target temperature
until the system was stable. Afterward, the MgSO4, solution
was injected into the flow cell with a syringe via a tube, and the
outlets on both sides of the flow cell were sealed with parafilm.
The sample holder including the cell was promptly placed at the center
of the measurement chamber, and terahertz spectra and images were
acquired. The time from injecting the solution to the start of the
measurement was minimized to no more than 30 s, in case of triggering
undesired nucleation. The temperature was kept as constant as possible
during the whole crystallization process, until crystals formed across
the cell in the view of the optical probe and the terahertz spectra
did not exhibit further changes. The experiment was either terminated
at this point, or the behavior of the system during slow heating to
room temperature was studied. In the latter case, the temperature
was increased by 0.2 °C min–1 up to 25 °C
in the flow cell. This was found to be an ideal heating rate to introduce
a constant temperature change to the cell.For all measurements,
three thermocouples monitored the temperature
at various positions: in the water bath, inside the metal sample holder,
and at the inlet of the cell, and one data point was acquired per
second. The optical probe used for image acquisition was set to acquire
one photograph every two seconds. The time-stamped images of each
measurement were further analyzed using ImageJ. Edge detection was
performed using a Sobel edge detector to highlight intensity changes.[49] The images were then binarized (using the same
threshold settings for all images), and the background was set to
black. Crystalline features were then represented by white pixels,
which were counted using the “Measure” functionality
of ImageJ. The area fraction of white pixels was normalized to 0 (at
the beginning of the measurement) and 100 (once crystals had covered
the whole cell) and was linked to the time of acquisition and hence
terahertz measurements. It was observed that a sigmoid described the
process well. After each crystallization measurement, the liquid cell
was thoroughly cleaned to remove grown crystals, contaminations, or
seeds, which could influence subsequent measurements. The cleaning
solution was prepared from commercial EDTA solution (pH = 8; Fisher
Scientific, Loughborough, UK) and NaOH solution (Reagecon Diagnostics,
Shannon, Ireland) to adjust the pH to 10, in which MgSO4 exhibits a higher solubility.
Results and Discussion
PXRD Analysis
of MgSO4 Hydrates
Commercially
available samples of anhydrous MgSO4 from two different
suppliers and the MgSO4·7 H2O sample were
highly crystalline and agreed closely with the patterns simulated
from the crystal structure.[26,28]The MgSO4·H2O sample showed much broader peaks, indicative
of a smaller particle/domain size. It largely agreed with the pattern
simulated from the monohydrate crystal structure,[27] but additional peaks at 2θ ≈ 20, 32, and 40°
(marked by an asterisk in Figure S2 in the SI) indicated the presence of an additional minor phase. Comparison
to other known MgSO4/H2O phases suggests the
impurity was most likely to be hexahydrate:[41] its most prominent peak matched that seen at 2θ ≈ 20°,
plus groups of peaks just above 30° 2θ and just below 40°
2θ could match to the features seen in the monohydrate sample.All measured and simulated PXRD patterns can be found in the Supporting Information.
Terahertz Spectra of MgSO4 Hydrates
The
terahertz spectra of MgSO4 anhydrous, monohydrate, and
heptahydrate as well as the crystal grown in the lab from solution
were acquired at different temperatures (Figure ). Comparing the spectra of the three different
hydrates, neither the anhydrous nor monohydrate forms of MgSO4 showed pronounced peaks in the region of interest (0.3 to
3.0 THz), and the only change that was observed upon cooling was a
drop in the baseline.
Figure 1
Crystalline MgSO4 hydrates measured at different
temperatures:
(a) anhydrous MgSO4; (b) MgSO4 monoydrate; (c)
commercial MgSO4 heptahydrate; and (d) MgSO4 heptahydrate grown in the lab from solution.
Crystalline MgSO4 hydrates measured at different
temperatures:
(a) anhydrous MgSO4; (b) MgSO4 monoydrate; (c)
commercial MgSO4 heptahydrate; and (d) MgSO4 heptahydrate grown in the lab from solution.For the commercial heptahydrate sample, three pronounced bands
were observed at 80 K: at 1.2 THz, 1.7 THz (double features), and
2.8 THz. These vibrations probably resulted from the interactions
between MgSO4 and water, because they were not present
in the anhydrous and monohydrate samples. As expected, the spectra
exhibited peak broadening and shifting as well as an increase of the
baseline upon heating to room temperature. This is due to the significant
population of excited vibrational states at room temperature, which
is characteristic of the far-infrared where the energy gap between
ground state and excited states is on the order of several meV and
therefore slightly lower and close to kbT at room temperature. In addition, the increased thermal vibration
and emission contribute to this effect. At 294 K, which was close
to the temperature of the crystallization experiments, the high-intensity
peak at 2.8 THz diminished into the baseline, and the two features
at lower frequencies became weaker and broader, while the double peak
at 1.7 THz merged and shifted to a single feature at 1.6 THz.The spectra of crystals grown under the conditions similar to the
crystallization in the flow cell exhibited less temperature-dependent
behavior. The feature at 1.2 THz was slightly more intense at low
temperatures, while the peak at 1.7 THz was consistently observable
in the whole temperature range. The latter shifted to 1.6 THz upon
heating to room temperature, though as a single feature rather than
a double one at temperatures above 80 K. The high similarity between
the terahertz spectra of heptahydrate and grown crystals, especially
at 294 K, confirmed that the crystals grown in the crystallization
cell were indeed MgSO4 heptahydrate. The differences between
the two could be accounted for by the different purities and defect
densities. In addition, the 1.1 THz peak became too weak to be observed
at room temperature, so the feature at 1.6 THz was used in the following
analysis to monitor the crystallization process.Within the
inherent limitations of the computational methodology,[42] the ss-DFT simulation produced a good correlation
with the experimental results (see Figure ). The relative shift in the frequencies
of the features between calculation and experiment is expected due
to the difference in temperature between calculation and the experimental
data among other factors. No scaling was applied to the frequency
of the calculated modes. The calculation revealed that the double
features near 1.7 THz originate from three distinct lattice vibrational
motions predicted to be at 1.74, 1.93, and 1.96 THz. As outlined above,
the slight overestimation of the vibrational frequencies is attributable
to the simulation being performed at 0 K, while the experimental data
is acquired at temperatures ≥80 K. The predicted 1.74 THz vibration
(B3 symmetry) involves primarily the rotational motions of the [Mg(H2O)6]2+ and (SO4)2– moieties about the c-axis of the crystallographic
unit cell, with a smaller contribution of translational motion along
the a-axis. The atomic motions associated with the
optical phonons observed in this work preserve the center of mass
of the unit cell. This is achieved by the different unit cell components
moving in specific phase relationships to one another as can be seen
in the provided vibrational mode animations (see the Supporting Information). The 1.93 THz vibration (B3 symmetry)
is a translational vibration of the crystal components along the c-axis. The 1.96 THz mode (B2 symmetry) is largely rotational
motion like the 1.74 THz mode but with rotation about the c-axis and some translational motion along the b-axis. The intense experimental peak near 2.8 THz is predicted at
2.78 THz (B3 symmetry) and is a rotational lattice vibration about
the a-axis with a small component of translation
along the c-axis. Noticeably missing from the simulation
is a feature matching with the experimental peak at 1.2 THz, as the
1.74 THz vibration is the lowest frequency vibration (infrared or
Raman) produced by ss-DFT. The reason behind this absence is not clear.
The use of other basis sets and density functionals did not produce
the lower feature nor did the explicit calculation of transverse optical
(TO) and longitudinal optical (LO) phonon splitting. One possible
explanation is that the published space group of P212121 is not an accurate representation
of the symmetry of the crystal at reduced temperatures and is instead P21 (Schoenflies symbol: C22) as suggested by others.[43] A reduction in crystal symmetry may yield new
vibrations in the ss-DFT predicted spectra, but such simulations are
not trivial given the high computational cost of the much larger asymmetric
unit.
Figure 2
Comparison of simulated (black) and measured spectra of MgSO4 heptahydrate. Simulated data have been scaled to the feature
at 2.8 THz. Dotted lines denote positions and relative intensities
of infrared-active modes.
Comparison of simulated (black) and measured spectra of MgSO4 heptahydrate. Simulated data have been scaled to the feature
at 2.8 THz. Dotted lines denote positions and relative intensities
of infrared-active modes.
Crystallization of MgSO4·7H2O
As described in the method section, the flow cell was kept constant
at the desired temperature for crystallization, and the process was
monitored with both terahertz spectroscopy and an optical probe. Confirmed
by visual analysis, crystallization was usually observed to start
at either inlet or outlet (or both) of the crystallization cell, followed
by crystal growth across the cell to its other end. Acquired images
were useful complementary information to track the progress of crystal
growth throughout the cell. After performing image edge detection
and binarization, crystals were represented by white pixels, and the
amount of crystals in the field of view of the camera was quantified
as demonstrated in Figure . In most measurements, it took approximately 4 to 10 min
for crystals to grow from one end of the cell to the other once crystal
growth had initiated.
Figure 3
Visual analysis of crystal growth. (a) Raw image recorded
when
the crystals grew into the middle of the cell and were detected by
THz-TDS. (b) Same image after edge detection. The approximate sample
volume probed with THz-TDS is highlighted. (c) Percentage of area
covered by crystals as observed with visual analysis plotted against
time. In this case, the crystal growth through the cell occurred in
about 6 min at around 4 °C. (d) Terahertz spectra acquired during
crystallization. Each subsequent spectrum is offset by 10 cm–1.
Visual analysis of crystal growth. (a) Raw image recorded
when
the crystals grew into the middle of the cell and were detected by
THz-TDS. (b) Same image after edge detection. The approximate sample
volume probed with THz-TDS is highlighted. (c) Percentage of area
covered by crystals as observed with visual analysis plotted against
time. In this case, the crystal growth through the cell occurred in
about 6 min at around 4 °C. (d) Terahertz spectra acquired during
crystallization. Each subsequent spectrum is offset by 10 cm–1.The spot of terahertz radiation
probing the center of the cell
was about 2 mm in diameter (as highlighted in Figure b). Before the crystals had grown into the
center of the cell, the sample volume probed with terahertz radiation
was entirely filled with liquid, and the terahertz spectra were hence
completely featureless. However, as crystal growth continued toward
the center of the cell, the absorption below 1.6 THz decreased, and
a peak emerged at 1.6 THz. This indicated the existence of crystals
in the field of view of the spectrometer (see Figure d). The peak at 1.6 THz correlated with the
peak in the solid-state heptahydrate samples measured previously and
shown in Figure .
The time by which crystals were detected by THz-TDS coincided well
with the time expected from image analysis (also shown in Figure c).Three frequencies
were chosen to illustrate the changes of the
spectrum over the course of the experiment: 1.6 THz, i.e., the peak
maximum, 1.0 THz, the frequency where the spectrometer has the highest
signal-to-noise ratio, and 0.5 THz, which was a sufficiently low frequency
that it should not directly be influenced by the crystalline spectral
feature. At each of those three frequencies, the absorption coefficient
was extracted and plotted as a function of time, as illustrated in Figure .
Figure 4
Absorption extracted
at 0.5, 1, and 1.6 THz. This highlighted the
different behaviors of the peak feature compared to the rest of the
spectrum (i.e., the differences between crystalline and liquid phases).
Whereas the absorption at 1.6 THz increased after 14 min, when crystallization
occurred, the absorption decreased at lower frequencies. Linear fits
were performed before (first region, blue), during (second region,
red), and after (third region, purple) crystal growth through the
field of view.
Absorption extracted
at 0.5, 1, and 1.6 THz. This highlighted the
different behaviors of the peak feature compared to the rest of the
spectrum (i.e., the differences between crystalline and liquid phases).
Whereas the absorption at 1.6 THz increased after 14 min, when crystallization
occurred, the absorption decreased at lower frequencies. Linear fits
were performed before (first region, blue), during (second region,
red), and after (third region, purple) crystal growth through the
field of view.An algorithm was used to differentiate
reliably and reproducibly
between three regions (before, during, and after crystal growth) by
fitting three linear functions to the data and selecting the fits
that minimized the sum of their root-mean-square error. The code is
based on an algorithm previously used to identify glass transition
temperatures from THz-TDS data.[50] The fits
are in Figure . This
allowed more information to be extracted at each stage of the crystallization
and facilitated comparison between the subsequent measurements, which
were performed under a range of conditions. The variation in absorption
coefficient between two subsequent points is on the order of 1 to
2 cm–1 at 0.5 THz, whereas the observed step height
was about 5 cm–1 at 0.5 THz and larger at higher
frequencies. Due to the time scale of the experiment, enough data
points were available to perform a linear regression to observe clear
trends. The random error in each measured data point was caused by
a combination of power fluctuations, waveform averaging, and changes
in the sample during the acquisition time (e.g., 20 s).Crystallization
experiments and the analysis described above were
performed for a range of different temperatures and concentrations.
A measure for how fast the crystals covered the field of view was
found by evaluating the time difference between the emergence of the
peak and reaching the equilibrium afterward. This time period was
denoted as “second region”. The “first region”
corresponded to the time before crystals appeared in the field of
view, and the “third region” referred to the last part
of the experiment after crystals had fully covered the field of view.During analysis, the slope of the linear fit to the data points
in the second region was evaluated. In most experiments, the gradient
of the linear fit was positive for 1.6 THz and negative at lower frequencies.In Figure , a range
of experiments are presented that systematically explore the important
factors during crystallization, such as temperature and concentration
changes. Based on this, the dynamics in both liquid and crystalline
phases will be discussed later. During analysis, the slope change
in the second region (i.e., during the crystallization process as
measured by the terahertz beam) at different frequencies was extracted
as well as the corresponding time in the region. In general, the larger
the gradient was, the faster the crystals grew, and the less time
it spent in this stage of the process. In most experiments, the gradient
of the linear fit was positive for a frequency of 1.6 THz and negative
at lower frequencies, reflecting that, during the crystallization,
absorption at the frequency of the vibrational peak of the crystalline
feature increased while that of liquid phase dropped.
Figure 5
Analysis parameters during
crystal growth plotted against concentration,
time, and temperature. The concentrations were represented by the
mass ratio of MgSO4 heptahydrate to water. (a) Slope in
the second region plotted against concentration, shown at 0.5 THz
(dots), 1.0 THz (diamonds), and 1.6 THz (triangles). The color denotes
the temperature at which the system was kept during crystallization.
(b) Gradient of the linear fit to the absorption at 1.0 THz in the
second region plotted against time. The colors denoted the different
initial concentrations. (c) Time spent in the second region plotted
against temperature. The data was extracted at 1.0 THz, and different
colors denoted different initial concentrations. (d) Slope in the
second region plotted against the temperatures at which the experiments
were performed, shown at 1.0 THz, and different colors denoted different
initial concentrations.
Analysis parameters during
crystal growth plotted against concentration,
time, and temperature. The concentrations were represented by the
mass ratio of MgSO4 heptahydrate to water. (a) Slope in
the second region plotted against concentration, shown at 0.5 THz
(dots), 1.0 THz (diamonds), and 1.6 THz (triangles). The color denotes
the temperature at which the system was kept during crystallization.
(b) Gradient of the linear fit to the absorption at 1.0 THz in the
second region plotted against time. The colors denoted the different
initial concentrations. (c) Time spent in the second region plotted
against temperature. The data was extracted at 1.0 THz, and different
colors denoted different initial concentrations. (d) Slope in the
second region plotted against the temperatures at which the experiments
were performed, shown at 1.0 THz, and different colors denoted different
initial concentrations.Figure a clearly
shows the different behavior of the absorption for the peak at 1.6
THz compared to other frequencies. While the absorption at 1.6 THz
(triangles) increased during crystallization, it decreased for lower
frequencies (dots and diamonds). The spread was higher at higher concentrations,
meaning that a faster crystallization was more likely to result from
more supersaturated solutions of MgSO4.If less time
was spent in the second region, i.e., the crystal
growth rate was increased, the higher the absolute gradient in that
region at all frequencies would be. This was shown in Figure b. For better clarity, the
slope during the phase at which the crystals grew into the field of
view of the THz-TDS system was shown at only 1 THz, where the signal-to-noise
ratio was the largest. The slope in the second region of the data
at 1 THz was plotted against the time the crystals took to fully cover
the field of view of the spectrometer. The shown slope was negative,
because the absorption decreased at 1 THz when crystals appeared.Figure c shows
the relationship between the duration of the middle region with the
temperature at which the experiments were performed. While crystal
growth through the field of view of the spectrometer seemed to take
around 4 min at temperatures between 3.5 to 5 °C, the spread
was larger at temperatures above 6 °C. In one extreme case, it
took almost 40 min for the crystals to fully cover the field of view.
In most other cases, it took between 2 to 12 min, independent of concentration.
Finally, Figure d
shows how much the absorption at 1.0 THz changed with time at different
temperatures and concentrations.Combining Figure a and Figure c, it
was concluded that, based on the results from our experiments presented
here, both a higher initial concentration and elevated temperature
above 6 °C made the crystal growth more erratic indicated by
a wider spread of the data.
Calibrated Local Concentration and Hydration
Shell
Terahertz spectra are inherently temperature-dependent.
As discussed
above, both a decrease in MgSO4 concentration and an increase
in temperature yield a higher absorption coefficient. Therefore, if
the data are corrected for temperature variations, all changes that
are observed in the absorption coefficient are directly linked to
structural changes of the probed sample volume.To eliminate
temperature effects, a calibration procedure previously established[23] was followed. By measuring the absorption of
liquid mixtures of varying concentrations at different temperatures,
a calibration curve had previously been determined. This allowed the
calculation of the concentration of a solution of unknown concentration
at arbitrary temperatures. In purely liquid samples, the calibration
procedure resulted in the actual concentration for solutions. However,
the emergence of crystalline features affected the spectra, and in
this case, the liquid phase absorption was calculated at frequencies
furthest away from the peak of the crystalline feature at 1.6 THz.An example of converting temperature-dependent data into the temperature-independent
equivalent concentration is shown in Figure . Instead of the slowly rising absorption
before crystals reached the field of view that was observed in Figure , the concentration
decreased. This complemented the information gained only by analyzing
the absorption coefficient and yielded an explanation of the changes
in the spectra during crystallization as follows.
Figure 6
Illustration of using
the calibration method to calculate the liquid
phase solute concentration based on measured absorption at various
frequencies. (a) Absorption α at 0.5 THz (black) and corresponding
calculated liquid phase solute concentration over time (red). (b)
Liquid phase solute concentration calculated at 0.5 THz (red squares),
1.0 THz (orange diamonds), and 1.6 THz (blue dots). Right: The temperature
throughout the measurement. It was stable and stayed within 0.1 °C
of the set point until the temperature control was turned off after
crystallization.
Illustration of using
the calibration method to calculate the liquid
phase solute concentration based on measured absorption at various
frequencies. (a) Absorption α at 0.5 THz (black) and corresponding
calculated liquid phase solute concentration over time (red). (b)
Liquid phase solute concentration calculated at 0.5 THz (red squares),
1.0 THz (orange diamonds), and 1.6 THz (blue dots). Right: The temperature
throughout the measurement. It was stable and stayed within 0.1 °C
of the set point until the temperature control was turned off after
crystallization.At the beginning of the
experiment, both the terahertz spectra
and visual analysis confirmed the absence of MgSO4 crystals
located in the center of the cell. Once nucleation occurred, typically
not in the center of the cuvette but near one end of the cell, a local
increase in water concentration was observed in the terahertz spectra
due to the increase in water concentration immediately adjacent to
the growing crystals as magnesium and sulfate ions crystallized into
the MgSO4 heptahydrate form. This caused a slight increase
of the absorption coefficient, corresponding to a lower MgSO4 concentration measured in the center of the cell.MgSO4 in solution is surrounded by a hydration shell
whose absorption is markedly different from that of bulk water.[44] This was demonstrated by calculating a theoretical
absorption coefficient based on the known absorption coefficient of
pure water (αwater) and that of anhydrous MgSO4 and that of MgSO4·7H2O (αcrystal), neglecting the effect of a larger hydration shell.
A series of MgSO4 aqueous solutions with a range of concentrations
were measured, and a difference between the measured (αsolution) and the calculated (αideal mixture) absorption was consistently observed.This difference was
calculated with eq for
a number of measurements and is shown
in Figure for anhydrous
MgSO4, where cMgSO represents the molar concentration of anhydrous MgSO4 or MgSO4·7H2O of the solutions in the
corresponding case. Calculated values for both anhydrous MgSO4 and MgSO4 heptahydrate are shown in Table S2 in
the SI. Changes were subtle below 0.02
molar concentration and increased steadily above in both the cases
of anhydrous MgSO4 and MgSO4 heptahydrate.
Figure 7
Relative
absorption calculated and plotted against molar concentration
of MgSO4. The experimental error is on the order of 4 cm–1, because the absolute absorption coefficients between
different measurements and concentrations are compared. Within one
measurement, the absolute error is lower (e.g., 1–2 cm–1). The lines are drawn to guide the eye and are not
intended to be indicative of a physical model.
Relative
absorption calculated and plotted against molar concentration
of MgSO4. The experimental error is on the order of 4 cm–1, because the absolute absorption coefficients between
different measurements and concentrations are compared. Within one
measurement, the absolute error is lower (e.g., 1–2 cm–1). The lines are drawn to guide the eye and are not
intended to be indicative of a physical model.The calculated theoretical absorption excluding the effect of the
hydration shell was larger than that of the measured absorption, indicating
that the hydration shell surrounding MgSO4 had a lower
absorption coefficient than the bulk water that it replaced, which
is in line with expectation, as the dipoles in the hydration shell
tend to exhibit slower relaxation behavior.[45−47] The results
also inferred that the hydration shell encompassed more than the seven
water molecules that form part of the MgSO4 heptahydrate
crystal because of the observed difference between the measured and
calculated absorption. This is in line with other observations that
also found extended hydration shells when probing samples with THz-TDS.[44]An increase of the overall absorption
coefficient at 0.5 and 1.0
THz as seen in experiments when crystals grew hence corresponded to
water being expelled from the hydration shells into the bulk phase
when the crystals formed. The bulk aqueous phase is pushed toward
the field of view sampled by THz-TDS during the growth of the crystals
before the crystals themselves enter the field of view of the terahertz
beam. Therefore, the growth of MgSO4 heptahydrate, which
started at one end of the cell, increased the local concentration
of bulk water in the center of the cell, where it was probed with
THz-TDS. This explained the initial slight increase in absorption
that was observed at both 0.5 and 1.0 THz, given that the absorption
coefficient of bulk water is much higher than that of the solution
mixed with MgSO4 or the heptahydrate.Once the crystals
reached the center of the cell, the absorption
at 0.5 and 1 THz decreased (see Figure ), as the probed sample became more ordered, and thereby
the VDOS was depleted, while the absorption at 1.6 THz increased as
the peak emerged. On the other hand, the liquid phase concentration
seemed to increase at 0.5 and 1.0 THz when crystals started to grow
in the field of view of THz-TDS. This was in line with a decrease
of the hydration shell size and a potentially denser liquid in the
area of forming crystals that was probed with THz-TDS.[3] The absorption coefficient at the peak at 1.6 THz clearly
increased, and this effect was accompanied by a decrease in MgSO4 concentration. Once the crystals covered the center of the
cell and the system reached an equilibrium state, the changes at all
frequencies became subtle again.However, the calculated liquid
phase concentration was not quantitatively
valid at frequencies close to crystal features, as no rigorous method
has yet been developed within the framework presented[23] to systematically account for peak effects to the baseline,
and the calibration curve was determined from the experimental data
of a series of samples in the liquid phase only. Others have used
a multifeature model[48] that could be used
in the future to explore this further, but in the present work, we
were not relying on the modeling of peaks and wanted to avoid making
further assumptions.To examine further the influence of the
crystalline feature to
the data collected at other frequencies, the previous procedure for
calculating concentration was applied inversely, i.e., the known and
frequency-independent calculated concentrations were used to calculate
the equivalent absorption if it was fully liquid (αliquid). Of the three frequencies described here, the data at 0.5 THz were
the least affected by the crystalline feature, since that frequency
was the furthest away from the feature at 1.6 THz. Therefore, the
concentration calculated from it was being used as the basis to calculate
αliquid.The relative difference compared to
the measured absorption is
plotted in Figure for different experimental stages. Before crystals were observed
in the field of view, the relative difference was close to zero for
all frequencies. During crystal growth into the field of view, however,
the relative difference increased between 1.5 to 1.7 THz and decreased
0.6 to 1.4 THz. This effect became even stronger once crystallization
was complete. Maxima of the relative difference were found at 1 and
1.6 THz, while the difference decreased toward lower frequencies.
This showed that while the peak only seemed to impact a relatively
narrow frequency range between 1.5 and 1.7 THz, the effects of crystallization
are still strongly observed at 1.0 THz. The spectral change was directly
visible: depletion of the VDOS below 1.5 THz and appearance of a peak
above. It should be noted that while current results focus on crystal
growth into field of view of the spectrometer, nucleation itself has
not yet been observed directly. This will be the focus of future work,
possibly by observing very subtle spectral changes.
Figure 8
Relative changes in α
when comparing the measured to the
calculated purely amorphous absorption before, during, and after crystallization.
Relative changes in α
when comparing the measured to the
calculated purely amorphous absorption before, during, and after crystallization.
Dissolution Observed
All the crystallization
experiments
were performed and monitored at a constant temperature, and once both
visual and spectral analysis confirmed that the crystallization was
completed, the system was slowly heated up. Meanwhile, it was also
observed that crystals started to dissolve at elevated temperatures.
Therefore, further measurements were carried out to study this phenomenon
systematically.With the well-controlled heating component,
an experimental heating rate of 0.2 °C min–1 was determined to ensure a constant temperature change in the crystallization
cell. Faster heating might have led to a temperature difference between
the circulating water and the inside of the cell, while slower heating
rates (although possible) prolonged the experiment. With the chosen
heating rate, crystal dissolution was observed within a reasonable
experimental time frame. However, an accurate dissolution temperature
was not measured, because hysteresis effects related to the kinetics
of crystallization and dissolution have to be taken into account.The temperature profile over time is shown in Figure a, and the times when characteristic
changes occurred in the spectra are highlighted with vertical lines.
These agreed well with the times extracted from the images acquired
by the camera. When the temperature was increased steadily once crystals
grew completely, crystal dissolution was observed both visually as
the percentage of crystals decreased drastically in the cell (Figure c) as well as with
THz-TDS resulting in the disappearance of the crystalline feature
at higher temperatures (Figure b). This was also investigated by utilizing the calculation
of liquid phase concentrations to remove the temperature effect from
the spectra (Figure d).
Figure 9
Crystal dissolution analysis. (a) Temperature profile during the
experiment. Vertical lines denote changes in the spectra. (b) Terahertz
spectra acquired throughout the experiment (liquid–semicrystalline–liquid).
Subsequent spectra are offset by 10 cm–1. (c) Dissolution
of crystals observed with visual analysis. Dissolving started at a
temperature shortly below 16 °C and was completed just above
20 °C. At a heating rate of 0.2 °C min–1, this process took about 34 min to complete. (d) α at 0.5
THz and corresponding calculated concentration over time. After initial
crystallization, the temperature was steadily increased up to room
temperature.
Crystal dissolution analysis. (a) Temperature profile during the
experiment. Vertical lines denote changes in the spectra. (b) Terahertz
spectra acquired throughout the experiment (liquid–semicrystalline–liquid).
Subsequent spectra are offset by 10 cm–1. (c) Dissolution
of crystals observed with visual analysis. Dissolving started at a
temperature shortly below 16 °C and was completed just above
20 °C. At a heating rate of 0.2 °C min–1, this process took about 34 min to complete. (d) α at 0.5
THz and corresponding calculated concentration over time. After initial
crystallization, the temperature was steadily increased up to room
temperature.The calculated concentration stayed
mostly constant once crystals
had formed until around 130 min after the beginning of the experiment,
which coincided with the first observation of crystal dissolution
in the camera images. Because heat was constantly being added to the
system by the heat of dissolution of magnesium sulfate and the temperature
increased steadily, the equilibrium concentration of MgSO4 in the vicinity of the crystal features varied, because the saturation
point changed with temperature. Therefore, the crystals dissolved
slowly while the surrounding liquid was approaching the point of local
saturation upon increasing the temperature. Opposite to crystal growth,
dissolution resulted in an enlargement of the hydration shells accompanied
by an increase of the absorption at 0.5 and 1.0 THz and a decrease
at 1.6 THz. The calculated concentration however decreased at 0.5
THz.
Conclusion
THz-TDS was used to study the crystallization
process of MgSO4·7H2O. The emergence and
disappearance of
the spectral feature at 1.6 THz indicated the growth or dissolving
of crystals in the field of view of the spectrometer (validated by
image analysis), while the change of the baseline reflected the behavior
of solvent. This is useful for investigating solvation dynamics and
the behavior of molecular species at phase boundaries.The absorption
at three frequencies was investigated in particular,
and the process clearly showed three stages. Experiments at three
concentrations and in the temperature range of 4 to 9 °C suggested
that both a higher initial concentration and elevated temperature
above 6 °C were likely to result in a more erratic crystal growth.
The faster the crystals grew through the field of view of the spectrometer,
the higher was the change in absorption at all frequencies. The temperature
effect on terahertz spectra was addressed as outlined previously,[21] leading to the calculation of an equivalent
liquid phase concentration. In addition, changes in the absorption
coefficient were correlated with the composition and size of the hydration
shell surrounding the salt ions.The results covered here are
from experiments where the crystals
grew into an area probed by terahertz radiation. Therefore, the onset
of nucleation was not observed directly. The focus of ongoing work
is to trigger nucleation at desired locations (e.g., in the center
of the cell) so that the investigation can be extended from that of
crystal growth to that of nucleation. The current setup is designed
for operating temperatures between 4 to 9 °C, and this range
can be extended further with simple adjustments. Therefore, this technique
can be applied to investigate a wide range of crystalline and semicrystalline
systems, thereby offering an interesting perspective of low-frequency
motions of multiphase systems.
Authors: U Heugen; G Schwaab; E Bründermann; M Heyden; X Yu; D M Leitner; M Havenith Journal: Proc Natl Acad Sci U S A Date: 2006-08-08 Impact factor: 11.205
Authors: Federico Sebastiani; Stefan L P Wolf; Benjamin Born; Trung Quan Luong; Helmut Cölfen; Denis Gebauer; Martina Havenith Journal: Angew Chem Int Ed Engl Date: 2016-12-28 Impact factor: 15.336