Taiga Tone1, Nobuyoshi Koga1. 1. Department of Science Education, Division of Educational Sciences, Graduate School of Humanities and Social Sciences, Hiroshima University, 1-1-1 Kagamiyama, Higashi-Hiroshima 739-8524, Japan.
Abstract
This study focuses on the relationship between the aragonite-calcite (A-C) transformation and the thermal dehydration of included water in the biomineralized aragonite construction using freshwater pearl. These thermally induced processes occur in the same temperature region. The thermal dehydration of included water was characterized through thermoanalytical investigations as an overlapping of three dehydration steps. Each dehydration step was separated through kinetic deconvolution analysis, and the kinetic parameters were determined. A single-step behavior of the A-C transformation was evidenced using high-temperature X-ray diffractometry and Fourier transform infrared spectrometry for the heat-treated samples. The kinetics of the A-C transformation was analyzed using the conversion curves under isothermal and linear nonisothermal conditions. The A-C transformation occurred in the corresponding temperature region of the thermal dehydration, ranging from the second half of the second dehydration step to the first half of the third dehydration step. Because the thermal dehydration process is constrained by the contracting geometry kinetics, the movement of the thermal dehydration reaction interface can be a trigger for the A-C transformation. In this scheme, the overall kinetics of the A-C transformation in the biomineralized aragonite construction is regulated by a contracting geometry.
This study focuses on the relationship between the aragonite-calcite (A-C) transformation and the thermal dehydration of included water in the biomineralized aragonite construction using freshwater pearl. These thermally induced processes occur in the same temperature region. The thermal dehydration of included water was characterized through thermoanalytical investigations as an overlapping of three dehydration steps. Each dehydration step was separated through kinetic deconvolution analysis, and the kinetic parameters were determined. A single-step behavior of the A-C transformation was evidenced using high-temperature X-ray diffractometry and Fourier transform infrared spectrometry for the heat-treated samples. The kinetics of the A-C transformation was analyzed using the conversion curves under isothermal and linear nonisothermal conditions. The A-C transformation occurred in the corresponding temperature region of the thermal dehydration, ranging from the second half of the second dehydration step to the first half of the third dehydration step. Because the thermal dehydration process is constrained by the contracting geometry kinetics, the movement of the thermal dehydration reaction interface can be a trigger for the A-C transformation. In this scheme, the overall kinetics of the A-C transformation in the biomineralized aragonite construction is regulated by a contracting geometry.
Calcium
carbonate (CaCO3) is a well-known inorganic
raw material and historically used for a variety of applications including
architectural materials and pigments.[1,2] There are many
sources of CaCO3 available in nature as minerals and those
produced through the biomineralization of living organisms. Effective
reuse of CaCO3, recovered from waste architectural materials
and food processing wastes, is also a focus of materials recycling.[3−11] Therefore, novel potential applications of CaCO3 have
been continuously investigated to find additional value and establish
cost-effective reuse of the material resource. Recently, the reversible
reactions of the thermal decomposition of CaCO3 to form
calcium oxide (CaO) and carbon dioxide (CO2) and the carbonation
of CaO to form CaCO3, i.e., CaCO3 ⇄ CaO
+ CO2, have attracted considerable attention once again[12−26] The absorption of CO2 by the carbonation of CaO and recovery
of the CaO absorbent by the thermal decomposition of CaCO3 function as a CO2 looping system to mitigate the greenhouse
effect.[12−18] Because of the endothermic thermal decomposition of CaCO3 and exothermic carbonation of CaO, the reversible reactions can
be used for the thermal storage of solar energy.[19−26] For these potential applications of the reversible reactions, the
physicochemical properties and morphological characteristics of CaCO3 and CaO are recognized as important factors to determine
the functionalities.Two polymorphous crystals of CaCO3 are present in nature,
i.e., calcite and aragonite, in addition to the synthetic crystalline
phase of vaterite.[27] Naturally available
aragonite is the metastable phase, which is transformed into calcite
before the thermal decomposition of CaCO3 when it is heated
under linear nonisothermal conditions.[28−34] The calcite generated by the thermally induced phase transition
of aragonite has some specific morphological characteristics, which
are different from the naturally available calcite, and its physicochemical
properties and morphological characteristics may depend on the original
structural construction of the aragonite and its transformation mechanism
to calcite. Thus, a detailed understanding of the aragonite–calcite
(A–C) transformation facilitates the control of the physicochemical
and morphological characteristics of the as-produced calcite toward
the effective use of its functionalities. Thermally induced A–C
transformation has been studied from different perspectives. Microscopically,
the transformation occurs via nucleation and subsequent growth of
the calcite phase.[35−37] From a crystallographic viewpoint, the phase transition
from aragonite to calcite is explained by reorientation of the CO3 group to Ca and changes in the Ca atom packing from approximately
hexagonal to cubic close-packing, which is followed by the increase
in the unit-cell volume.[38,39] The overall kinetic
behavior of the A–C transformation has been investigated by
focusing on its endothermic behavior using thermoanalytical techniques,
including differential thermal analysis (DTA) and differential scanning
calorimetry.[28−34,40−45] The nucleation–growth model has also been supported by the
kinetic analysis of the thermoanalytical curves,[43−45] even though
the reported kinetic parameters are largely distributed. The evolution
of water vapor during the A–C transformation has also been
revealed through thermoanalytical approaches using thermogravimetry
(TG),[28−34] which has been generally observed for the biogenetic aragonite[28−32] and also confirmed for the synthetic aragonite.[29,34] When the A–C transformation and the thermal dehydration of
included water occur in the same temperature region, the resulting
endothermic behavior should be interpreted by considering the contributions
of these two phenomena.[31−33] The evolution of water vapor
originated from the thermally induced dehydration of included water
in the aragonite construction.[28−34] The thermal dehydration contributes to the increase in the internal
pressure of the aragonite construction, and the evolution of water
vapor generates diffusion paths such as a micropore in the resulting
calcite construction as observed microscopically.[46] Furthermore, the A–C transformation followed by
the thermal dehydration of included water occurs at a lower temperature
region compared to that of mineral aragonite.[31,46,47] Therefore, elucidation of the interaction
between the A–C transformation and the thermal dehydration
of included water is necessary to describe the physicogeometrical
mechanistic features of the overlapping phenomena.Our previous
study on the A–C transformation of coral aragonite
revealed that the accompanying thermal dehydration of included water
appears as a partially overlapping multistep process.[48] Thus, the mechanistic correlations of each thermal dehydration
step to the A–C transformation may provide additional information
to characterize the physicogeometrical mechanisms of the A–C
transformation. In this study, biomineralized freshwater pearl (FW-pearl)
was used as an aragonite system because fewer contaminants of metal
cation other than the calcium ion were expected compared to those
mineralized in a seawater environment.[49] The kinetic behaviors of the A–C transformation and the multistep
thermal dehydration of included water were separately investigated
by following the respective processes using different physicochemical
techniques: high-temperature powder X-ray diffractometry (HTXRD) and
Fourier transform infrared spectroscopy (FT-IR) for the former and
TG for the latter. By comparing the kinetic results, the relationship
between the A–C transformation and multistep thermal dehydration
in the temperature coordinate was discussed to evaluate the correlations
between each thermal dehydration step and the A–C transformation.
Further, the physicogeometrical mechanisms of the overall A–C
transformation process in the biomineralized construction are discussed
in detail by considering the contributions of the thermal dehydration
of included water.
Experimental Section
Sample and Its Characterization
In
this study, FW-pearls produced in China with a diameter size of 7–9
mm were used for experiments (Figure S1). The pearls were crushed and ground using a stainless-steel mortar
and pestle. The as-produced pearl powder was sieved using stainless
steel sieves with different meshes and an electric shaking apparatus
(MVS-1, AS ONE). The powder in the sieved fraction with an aperture
size of 90–150 μm was used as the sample (Figure S2). The sample was characterized by powder
XRD, FT-IR, and simultaneous TG–DTA measurements. The XRD pattern
was recorded using a diffractometer (RINT2200V, Rigaku) by irradiating
monochrome Cu Kα (40 kV, 20 mA) and scanning in a 2θ range
of 5–60° at a rate of 4° min–1 in
steps of 0.02°. For the FT-IR spectrum measurement, the sample
was diluted with KBr. The FT-IR spectrum was recorded in a spectrometer
(FT-IR 8400S, Shimadzu) using the diffuse reflectance method. Figure S3 shows the XRD pattern and FT-IR spectrum
of the FW-pearl. The XRD pattern (Figure S3a) is in agreement with that reported for aragonite (CaCO3, orthorhombic, S.G. = Pmcn(62), a = 4.9623, b = 7.9680, c = 5.7439, α = β
= γ = 90.000, ICDD-PDF 00-041-1475).[50,51] The FT-IR spectrum (Figure S3b) shows
all of the major IR absorption peaks attributed to aragonite.[52−54] The absorptions attributed to the ν4 mode of CO32– in the aragonite structure are observed
at 700 cm–1 and 713 cm–1. The
IR absorption peaks at 864, 1082, and 1483 cm–1 are
attributed to the ν2, ν1, and ν3 modes of the CO32– vibrations,
respectively. The absorption peaks at 1650 and 2600–3600 cm–1 correspond to the H–O–H bending and
O–H stretching modes of H2O, respectively, suggesting
the presence of H2O in the aragonite structure as included
water, similar to that previously reported for the natural and biomineralized
aragonites.[28−34] The atomic constitution of FW-pearl was determined by energy-dispersive
X-ray (EDX) spectrometry using an instrument (X-act, Oxford) equipped
with a scanning electron microscope (JSM-6510, JEOL). Only Ca, C,
and O atoms were detected as the components (Figure S4).
Tracking of the Thermally
Induced Transformations
Approximately 10.0 mg of the sample,
weighed into a platinum pan
(5 mm in diameter and 2.5 mm in depth), was heated in a TG–DTA
instrument (TG8120, Thermoplus 2, Rigaku) from room temperature to
1223 K at a heating rate (β) of 5 K min–1 in
flowing He gas at a rate of 200 cm3 min–1. A portion of the outlet gas from the reaction chamber of the TG–DTA
instrument was continuously introduced to the quadruple mass spectrometer
(M-200QA, Anelva) through a silica capillary tube (0.075 mm inner
diameter and 0.7 m in length) heated at 500 K. The mass spectra (MS)
of the outlet gas were repeatedly measured in an m/z range from 10 to 50 amu (EMSN: 1.0 mA; SEM: 1.0
kV).HTXRD measurements were used to track the crystallographic
phase changes during heating the sample in the aforementioned XRD
instrument by equipping a heating chamber with a programmable temperature
controller (PTC-20A, Rigaku). The sample press-fitted to a platinum
plate sample holder, ensuring a fine powder bed, was heated in flowing
dry N2 gas at a rate of 100 cm3 min–1 according to two different heating programs. For tracking the crystallographic
phase changes in a wide temperature range from 323 to 1123 K, a stepwise
isothermal program, composed of 15 min of temperature holding at different
temperatures in steps of 50 K during linear heating at a rate of 2
K min–1, was used to heat the sample, and XRD measurements
were performed at each temperature holding section. For tracking the
structural phase transition from aragonite to calcite, the sample
was initially heated linearly to 703 K at a β of 10 K min–1; subsequently, the sample temperature was maintained
at 703 K for 5 h. XRD measurements were repeated 20 times during the
isothermal holding section.The sample of approximately 20 mg,
weighed in a platinum pan (5
mm in diameter and 2.5 mm in depth), was subjected to the TG–DTA
measurement. TG–DTA curves were recorded using a horizontal
thermobalance (TG8121, Thermoplus Evo2, Rigaku) by heating the sample
from room temperature to 1223 K at a β of 5 K min–1 in flowing dry N2 gas at a rate of 300 cm3 min–1. TG–DTA measurements were also carried
out in flowing N2–CO2 mixed gas (20%-CO2) at a rate of 300 cm3 min–1 for
tracking the water release process observed right before the thermal
decomposition of CaCO3 in the TG–DTA measurements
under flowing dry N2 gas. The TG–DTA curves in the
flowing N2–CO2 mixed gas were recorded
at different β values of 1, 2, 3, 5, 7, and 10 K min–1, in which the concentration of CO2 in the outlet gas
from the instrument was continuously monitored using a CO2 concentration meter (LX-710, IIJIMA).TG–DTA measurements
(β = 5 K min–1) in the flowing N2–CO2 mixed gas were
stopped at different temperatures in a range of 503–763 K,
and the thermally treated samples were recovered after natural cooling
to room temperature in the instrument. FT-IR spectra of the thermally
treated samples were recorded using the diffuse reflectance method
after diluting the samples with KBr (1:10) for determining the mixed
ratio of aragonite/calcite. To obtain the calibration curve for determining
the aragonite/calcite ratio, FT-IR spectra of standard samples with
known aragonite/calcite mixed ratios were also recorded using the
same measurement conditions.
Results
and Discussion
Thermal Behavior of FW-Pearl
Figure shows the
TG–DTA
curves for the powder sample of FW-pearl, along with the MS ion thermograms
for m/z = 18 (H2O+) and m/z = 44 (CO2+) in the gas evolved during heating the sample. The major
mass-loss process is observed at a temperature higher than 800 K,
followed by the significant endothermic effect. Because the major
gaseous product is CO2, the major mass-loss process is
attributed to the thermal decomposition of CaCO3. A detectable
mass loss, followed by a slight endothermic effect is observed in
a temperature range of 500–800 K, previously to the major mass-loss
process. The preliminary mass-loss process is characterized by the
evolution of water vapor, i.e., the thermal dehydration of included
water.
Figure 1
TG–DTA curves for the powdered FW-pearl (m0 = 9.918 mg) recorded by heating at a β of 5 K
min–1 in flowing He gas at a rate of 200 cm3 min–1 along with the MS ion thermograms
for m/z = 18 (H2O+) and m/z = 44 (CO2+) in the evolved gas.
TG–DTA curves for the powdered FW-pearl (m0 = 9.918 mg) recorded by heating at a β of 5 K
min–1 in flowing He gas at a rate of 200 cm3 min–1 along with the MS ion thermograms
for m/z = 18 (H2O+) and m/z = 44 (CO2+) in the evolved gas.Figure a shows
the changes in the XRD pattern of the sample during the stepwise isothermal
heating from 323 to 1123 K in steps of 50 K in flowing dry N2 gas. The structural phase transition from aragonite to calcite (trigonal,
S.G. = R–3c, a = b = 4.9780, c = 17.3540, JCPDS PDF 01-086-2341)[55] (Figure b) occurred
in the temperature range of 573–773 K by gradual attenuations
of aragonite diffraction peaks and compensative growth of those attributed
to calcite. The wide temperature range of the A–C transformation
observed by the changes in the XRD pattern practically corresponds
to that of the first mass-loss process characterized by the evolution
of water vapor in the TG–MS (Figure ). The as-produced calcite phase decomposes
to calcium oxide (Figure c) with further heating at temperatures ranging from 873 to
1073 K. The temperature range is approximately 100 K higher than that
of the thermal decomposition of calcite observed in the TG–MS.
The shift in the temperature range of the thermal decomposition of
calcite is explained by the effect of self-generated CO2 on the reaction under the conditions of the sample press-fitted
on the platinum plate for the HTXRD measurement.
Figure 2
Changes in the XRD pattern
of FW-pearl during the stepwise isothermal
heating in flowing dry N2 gas: (a) XRD patterns at different
temperatures, (b) XRD pattern at 873 K, and (c) XRD pattern at 1123
K.
Changes in the XRD pattern
of FW-pearl during the stepwise isothermal
heating in flowing dry N2 gas: (a) XRD patterns at different
temperatures, (b) XRD pattern at 873 K, and (c) XRD pattern at 1123
K.Figure shows the
change in the XRD pattern of FW-pearl during the isothermal heating
at 703 K in flowing dry N2 gas. The diffraction peaks of
aragonite gradually attenuated as the duration time increased (Figure a). In contrast,
the intensity of the calcite diffraction peaks increased. The changes
in the fractional transition (αtr) from aragonite
to calcite as a function of time (Figure b), calculated from the XRD patterns using
the reference intensity ratio (RIR) method, indicate that the transformation
completion at 703 K lasted approximately 150 min. The kinetically
controlled feature of the transformation is deduced from the time-dependent
transformation behavior at constant temperatures and also from the
wide temperature range of the transformation under the stepwise isothermal
condition.
Figure 3
Changes in the XRD pattern of FW-pearl during the isothermal heating
at 703 K in flowing dry N2 gas: (a) XRD patterns at different
times and (b) changes in the fractional transition (αtr) from aragonite to calcite, evaluated by the RIR method.
Changes in the XRD pattern of FW-pearl during the isothermal heating
at 703 K in flowing dry N2 gas: (a) XRD patterns at different
times and (b) changes in the fractional transition (αtr) from aragonite to calcite, evaluated by the RIR method.Figure shows
the
comparison of the TG/derivative TG(DTG)–DTA curves for FW-pearl
recorded at a β of 5 K min–1 in flowing dry
N2 and N2–CO2 (20%-CO2) mixed gases. The first mass-loss process characterized by
the evolution of included water in the temperature range corresponding
to A–C transformation is not influenced by the atmospheric
CO2. Conversely, the second mass-loss process of the thermal
decomposition of calcite significantly shifts to higher temperatures
due to the effect of atmospheric CO2. These observations
demonstrate that the measurement of the thermally induced transformation
processes in FW-pearl under atmospheric CO2 allows monitoring
the evolution of water vapor along with the A–C transformation
by separating from the subsequent thermal decomposition of calcite.
Figure 4
Comparison
of TG/DTG–DTA curves for FW-pearl (m0 = approximately 20.0 mg) recorded at a β of 5
K min–1 in flowing dry N2 and N2–CO2 (20%-CO2) mixed gases.
Comparison
of TG/DTG–DTA curves for FW-pearl (m0 = approximately 20.0 mg) recorded at a β of 5
K min–1 in flowing dry N2 and N2–CO2 (20%-CO2) mixed gases.
Kinetics of Thermal Dehydration of Included
Water
Figure shows the TG–DTG curves recorded at different β values
in flowing N2–CO2 (20%-CO2) mixed gases by focusing on the temperature range of the thermal
dehydration process of included water. The relative mass-loss value
for thermal dehydration was 3.98 ± 0.05%. The TG–DTG curves
systematically shifted to higher temperatures providing evidence of
a kinetically controlled process. The DTG curves during thermal dehydration
apparently show three mass-loss peaks partially overlapping. The TG–DTG
curves were converted to kinetic curves by calculating the fractional
reaction (α) values for the total mass-loss value during the
thermal dehydration process (Figure S5).
Figure 5
TG–DTG
curves for the first mass-loss process of FW-pearl
(m0 = 19.996 ± 0.026 mg) characterized
by the evolution of included water recorded at various β values
(1 ≤ β (K min–1) ≤ 10) in flowing
N2–CO2 (20%-CO2) mixed gases.
TG–DTG
curves for the first mass-loss process of FW-pearl
(m0 = 19.996 ± 0.026 mg) characterized
by the evolution of included water recorded at various β values
(1 ≤ β (K min–1) ≤ 10) in flowing
N2–CO2 (20%-CO2) mixed gases.As a preliminary trial, the overall thermal dehydration
process
was analyzed kinetically by assuming a single-step reaction using
the fundamental kinetic equation that considers the variation of the
normalized reaction rate (dα/dt) depending
on temperature (T) and α values[56−58]where A, Ea, and R are the Arrhenius pre-exponential
factor, apparent activation energy, and gas constant, respectively. f(α) is the kinetic model function that describes
the change in the (dα/dt) values as a function
of α at a constant temperature. By taking logarithms of eq , the fundamental kinetic
equation is converted to express the isoconversional kinetic relationship,
i.e., at a selected α value.[56−58]At the selected α value, the
data points
of (dα/dt, T) extracted from
the series of kinetic curves should fulfill the linear correlation
between ln(dα/dt) and T–1 under the restriction of a constant ln [Af(α)] value (Friedman plot[59]). The
results of the Friedman plots, examined at various α values,
are shown in Figure . An acceptable linear correlation of the Friedman plots was observed
at different α values over the course with the correlation coefficient
better than −0.98 in the α range of 0.12–0.95
(Figure a). However,
the Ea value calculated from the slope
of the Friedman plots varied during the reaction (Figure b). Three distinguishable α
ranges exhibiting different Ea variation
trends can be identified: (1) the initial Ea increasing range (approximately from 80 to 190 kJ mol–1 in 0.01 ≤ α ≤ 0.20), (2) the constant Ea range with an average value of 188.8 ±
3.8 kJ mol–1 (0.20 ≤ α ≤ 0.80),
and (3) the final Ea increasing range
(approximately from 190 to 250 kJ mol–1 in 0.80
≤ α ≤ 0.99). The observed Ea variation trends also support the overlapping three-step
behavior of the thermal dehydration as expected from the shape of
the DTG curves at sight (Figure ). A similar three-step behavior observed for the thermal
dehydration of included water was reported for a coral aragonite.[48]
Figure 6
Results of Friedman plots for the thermal dehydration
of included
water in FW-pearl: (a) Friedman plots at various α and (b) Ea values at various α.
Results of Friedman plots for the thermal dehydration
of included
water in FW-pearl: (a) Friedman plots at various α and (b) Ea values at various α.When the component reaction steps during the thermal dehydration
of included water are kinetically independent, the overall process
is described by a simple cumulative kinetic equation[57,60−62]where N is the total number
of component reaction steps and c is the contribution
of each reaction step to the overall process. The subscript i identifies the component reaction step. The kinetic calculation
based on eq is the
simultaneous determination of all kinetic parameters for all component
reaction steps via the nonlinear least-squares analysis to minimize
the sum of the squares of the residue between the experimental and
calculated data points in the overall kinetic curves (kinetic deconvolution
analysis (KDA))[57,60−62]where M is the total
number
of data points in a kinetic curve and j identifies
the data point. The mathematical procedure always accompanies the
possibility to fall in the local minimum, providing the superficial
kinetic parameters for all component reaction steps. Setting up the
kinetically meaningful initial values at least for several kinetic
parameters before the KDA is an approach to increase the reliability
of the highly mathematical procedure. In this study, preliminary kinetic
analysis for the partially overlapping three-step process (N = 3) was performed based on the mathematical deconvolution
analysis (MDA) of the overall process using a statistical function.[57,61−64] The MDA provides the initial c values from the ratio of the separated peak area of the differential
kinetic curves. Furthermore, the initial Ea values for each reaction step are obtained by the conventional isoconversional
kinetic analysis. The details of the kinetic analysis based on the
MDA are described in the Supporting Information (Section S3: Figures S6–S8 and Table S1).To achieve the superior curve fitting through the
KDA, an empirical
kinetic model function f(α), known as Šesták–Berggren
model SB(m, n, p),[65−67] was applied to all component reaction steps.The c and Ea, values
evaluated through the MDA (Table S1) and
SB(0, 1, 0), corresponding to the first-order kinetic model, were
introduced into eq as
the initial values. Subsequently, the initial A values were determined by comparing graphically
the positions of the experimental and calculated kinetic curves in
the temperature coordinate. Thereafter, all kinetic parameters in eq with eq , a total of 18 parameters, were simultaneously
optimized through the nonlinear least-squares analysis (eq ).Figure shows a
typical result of the KDA applied to the thermal dehydration of included
water in FW-pearl. Regardless of the kinetic curves at different β
values, the statistically significant fit to the overall kinetic curves
was achieved, followed by the practically invariant kinetic parameters
as listed in Table . The largest contribution is observed for the second reaction step,
while the contributions of the first and third reaction steps are
limited to 10–15%. The increase in the Ea, value followed by the decrease in the A value as the reaction step
progresses are in agreement with the order of the reaction steps for
the reaction temperature. The Arrhenius plots obtained using the optimized
kinetic parameters are compared in Figure S9. Using empirical SB(m, n, p) exponents, the master plots for each
reaction step were calculated based on the Ozawa’s generalized
time (θ).[68−75]As shown in Figure , the master plots exhibit a deceleration
process with concaved shapes in all reaction steps, which indicates
that the diffusional removal of water molecules through the solid
phase is the rate-limiting step.
Figure 7
Typical result of the KDA applied to the
thermal dehydration of
included water in FW-pearl.
Table 1
Optimized Kinetic Parameters for the
Component Reaction Steps of the Thermal Dehydration of Included Water
in FW-Pearl, Averaged Over Different β Values (Determination
Coefficient R2 = 0.9971 ± 0.001)
fi (αi) = αimi (1 – αi)ni[−ln(1 – αi)]pi
i
ci
Ea,i/kJ mol–1
Ai/s–1
mi
ni
pi
1
0.14 ± 0.01
160.4 ± 0.8
(1.28 ± 0.03) × 1016
1.53 ± 0.02
8.29 ± 0.43
–1.84 ± 0.03
2
0.73 ± 0.04
193.6 ± 0.5
(5.85 ± 0.03) × 1014
5.67 ± 0.70
0.47 ± 0.02
–6.40 ± 0.64
3
0.13 ± 0.04
219.6 ± 1.2
(1.66 ± 0.01) × 1013
–2.54 ± 0.26
1.09 ± 0.13
0.88 ± 0.06
Figure 8
Master
plot for each reaction step of the thermal dehydration of
included water calculated using the optimized kinetic exponents in
SB (m, n, p).
Typical result of the KDA applied to the
thermal dehydration of
included water in FW-pearl.Master
plot for each reaction step of the thermal dehydration of
included water calculated using the optimized kinetic exponents in
SB (m, n, p).
Figure displays the FT-IR spectra of the samples, which were previously
heated to different temperatures within the range corresponding to
the thermal dehydration of included water at a β of 5 K min–1 in flowing N2–CO2 mixed
gas (20%-CO2). The characteristic double peaks at 700 and
713 cm–1 attributed to the ν4 mode
of CO32– in the aragonite structure are
maintained until approximately 700 K (Figure a). Subsequently, the peak at 700 cm–1 attenuates gradually by heating to higher temperatures,
and the absorption peak converges with the single peak at 713 cm–1 characteristics of the calcite structure. Compared
with the temperature range of the thermal dehydration of included
water, the A–C transformation occurs in the temperature range
between the maximum rates for the second and third thermal dehydration
steps. By a quantitative analysis of the absorption peaks using the
calibration curve method, the αtr value for the A–C
transformation at distinct temperatures was determined (Figure b). From the temperature−αtr profile, the temperature range of the A–C transformation
at a β of 5 K min–1 was approximately determined
to be from 700 to 750 K, and the αtr value systematically
increased as the sample temperature increases within the temperature
range. The details for the quantitative analysis of the IR absorption
peaks are described in the Supporting Information (Section S4: Figures S10–S13 and Tables S2–S4).[53,54,76−80]
Figure 9
Analysis
of FT-IR spectra for the heat-treated sample by heating
to different temperatures at a β of 5 K min–1 in flowing N2–CO2 mixed gases (20%-CO2) at a rate of 300 cm3 min–1:
(a) changes in the FT-IR spectra for the ν4 mode
of CO32– and (b) temperature–fractional
transition (αtr) profile from aragonite to calcite
determined by the quantitative analysis of the peak area.
Analysis
of FT-IR spectra for the heat-treated sample by heating
to different temperatures at a β of 5 K min–1 in flowing N2–CO2 mixed gases (20%-CO2) at a rate of 300 cm3 min–1:
(a) changes in the FT-IR spectra for the ν4 mode
of CO32– and (b) temperature–fractional
transition (αtr) profile from aragonite to calcite
determined by the quantitative analysis of the peak area.The progress of the A–C transformation with time at
a constant
temperature of 703 K, monitored by XRD measurements (Figure ), and with temperature at
β = 5 K min–1, monitored by FT-IR measurements,
were subjected to kinetic analysis as shown in Figure . Because the sensitivity and number of
data points of the kinetic data determined using HTXRD and FT-IR are
largely limited in comparison with those in TG for the thermal dehydration
process, classical integral methods were employed for the kinetic
calculation as the only possible method. The changes in αtr with time at a constant temperature can be correlated by
the following integral kinetic equation[58]where g(αtr) and k are the kinetic model function in the integral
form and the rate constant, respectively. By examining g(αtr) versus t plots using various g(α) values listed in Table S5, the random nucleation and subsequent growth (Johnson–Mehl–Avrami
model; JMA(m))[81−84] and phase boundary-controlled reaction (R(n)) models exhibited the most statistically significant
linear correlation between g(αtr) versus t with reference to the correlation coefficient
(γ) of the linear regression analysis, as shown in Figure a. The JMA(4) model
explains the constant rate nucleation of calcite in the aragonite
matrix and subsequent three-dimensional growth of the nuclei. Conversely,
the R(1) model describes the one-dimensional advancement of the transformation
interface. Considering the sampling condition of the XRD measurement
characterized by the press-fitting on the platinum plate, the physicogeometrical
mechanism described by the R(1) model is interpreted by the initiation
of the A–C transformation at the top surface of the press-fitted
sample and advancement of the transformation interface into the depth.
When the thermal dehydration of included water covering the temperature
range of the A–C transformation is considered as a possible
trigger for the phase transition, the R(1) model is valid as the overall
physicogeometrical mechanism because the thermal dehydration characterized
by the diffusion-controlled process (Figure ) occurs with the same geometrical constraint.
Figure 10
Kinetic
plots for the aragonite–calcite transformation:
(a) g(αtr) versus t plot for the isothermal transformation at T = 703
K tracked using HTXRD (Figure ) and (b) Coats and Redfern plots[85] for the nonisothermal transformation at β = 5 K min–1 tracked using FT-IR (Figure ).
Kinetic
plots for the aragonite–calcite transformation:
(a) g(αtr) versus t plot for the isothermal transformation at T = 703
K tracked using HTXRD (Figure ) and (b) Coats and Redfern plots[85] for the nonisothermal transformation at β = 5 K min–1 tracked using FT-IR (Figure ).The changes in the αtr value with T recorded using the FT-IR measurements
for a series of samples with
different thermal treatments can be used as the integral kinetic data
at a constant β value, which can be kinetically analyzed using
the Coats and Redfern (CR) method[85]where Atr and Ea,tr are
the Arrhenius pre-exponential factor
and apparent activation energy for the A–C transformation,
respectively. By assuming that the logarithmic term on the right-hand
side of eq is constant,
the plot of ln [g(αtr)/T2] versus the reciprocal temperature represents a linear
correlation when an appropriate g(α) is used.
The Ea,tr and Atr values are then obtained from the slope and intercept of the plot,
respectively. As in the kinetic analysis of the isothermal kinetic
data, the statistically significant linear correlation of the CR plot
is observed when the JAM(m) or R(n) models are adopted (Figure b). The kinetic parameters determined by the CR plots
are listed in Table . The exponent m in JMA(m) representing
the optimal linearity of the CR plot was 1.0 or 1.5, which is different
from JMA(4) estimated from the HTXRD data under isothermal conditions.
Although the physicochemical meaning of the m value
is explained by several theoretical interpretations based on the kinetics
and geometry of successive nucleation and growth,[81−84] the JMA(m) model
is fundamentally derived for bulk processes. Therefore, a significant
change in the m value depending on the sampling conditions
is not expected. The calculated exponent n in the
R(n) model determined using the CR plot was 3, which
was different from the R(1) estimated from the HTXRD data under isothermal
conditions. However, when considering the sample assemblage as the
reactant body, the shrinkage dimension of the reaction interface is
different depending on the sampling conditions. It is generally accepted
that the Arrhenius parameters determined by the CR plot vary depending
on g(α) even if statistically significant linear
correlations are observed.[86,87] Therefore, the Arrhenius
parameters determined by the CR plot can have a certain physical meaning
only when the physicogeometrical characteristics are elucidated and
a most appropriate kinetic model is selected. Nevertheless, the kinetic
triplet, i.e., Ea,tr, Atr, and g(αtr), determined
by the CR plot can be used for simulating the kinetic curves, although
the applicability of the determined kinetic parameters to the kinetic
prediction under different conditions should be further critically
examined. Figure compares the experimental kinetic curve (Figure b) and the kinetic curves calculated using
the kinetic triplet listed in Table . The three different sets of the kinetic parameters
satisfactorily reproduced the experimental kinetic curve.
Table 2
Arrhenius
Parameters for the Aragonite–Calcite
Transformation Determined by the Coats and Redfern Plot by Adopting
Several g(α) Values
function
g(αtr)
Ea,tr/kJ mol–1
Atr/s–1
–γa
JMA(1)
–ln(1 – αtr)
247.5 ± 6.8
(1.47 ± 0.01) × 1015
0.9985
JMA(1.5)
[−ln(1 – αtr)]2/3
161.0 ± 4.5
(7.23 ± 0.01) × 108
0.9984
R(3)
1 – (1 – αtr)1/3
221.6 ± 7.7
(5.43 ± 0.01) × 1012
0.9976
Correlation
coefficient of the linear
regression analysis.
Figure 11
Comparison
of the experimental data points with the simulated kinetic
curves calculated using the kinetic triplet determined by the Coats
and Redfern plots.
Comparison
of the experimental data points with the simulated kinetic
curves calculated using the kinetic triplet determined by the Coats
and Redfern plots.Correlation
coefficient of the linear
regression analysis.
Mutual Relation between the Thermal Dehydration
and Aragonite–Calcite Transformation
The evolution
of water vapor observed before the thermal decomposition of calcite
during linearly heating the FW-pearl was characterized as an overlapping
three-step process. Meanwhile, the A–C transformation occurs
in the middle of the thermal dehydration of included water at temperatures
ranging between the second and third dehydration steps. FW-pearl is
defined as the construction of polygonal plates composed of an agglomerate
of aragonite crystals, as previously reported for the synthetic aragonite[34] and biomineralized aragonite such as coral aragonite.[48] The included water may be present at the interstices
between the aragonite plates and between aragonite crystals. Therefore,
the following model for a mutual relationship between the thermal
dehydration of included water and A–C transformation was proposed.[48] The first dehydration step is attributed to
the included water between the aragonite plates, which enables the
subsequent dehydration of the included water between the aragonite
crystals in the aragonite plate. Prior to the A–C transformation,
an increase in the lattice spacing of the aragonite crystal occurs.[39] Partial dehydration of the included water in
the aragonite plate probably provides spaces required for the expansion
of the crystal lattice. Consequently, the second dehydration step
triggers the A–C transformation. In turn, the A–C transformation
enhances the thermal dehydration of the residual included water in
the aragonite plates, which appears to be the third dehydration step.Regardless of the dehydration steps, the movement of the reaction
interface controlled by the diffusional removal of water vapor in
a contracting geometry scheme is the characteristic kinetic behavior
for the thermal dehydration of included water. Therefore, the preparation
for the A–C transformation advances with geometrical restrictions
of the thermal dehydration. Generally, bulk nucleation and growth,
as expressed by the conventional JMA(m) model, are
expected for the structural phase transitions. However, the contracting
geometry-type model controlled by the constant rate advance of the
transformation interface, as expressed by the R(n) model, accurately describes the apparent kinetic behavior of the
A–C transformation. The kinetic behaviors of the thermal dehydration
process and A–C transformation revealed in this study also
support the physicogeometrical model considering the mutual interaction
between the thermal dehydration of included water and the A–C
transformation in biomineralized aragonites.
Conclusions
As in several biomineralized aragonites, the
thermally induced
A–C transformation in FW-pearl occurred in the temperature
region of approximately 650–750 K by overlapping with the thermal
dehydration of included water in the construction. The thermal dehydration
of included water was characterized by partially overlapping three
dehydration steps. All dehydration steps were kinetically controlled
by diffusional removal of water molecules through the construction
of aragonite crystals, in which the apparent Ea, values increased as the dehydration step
advances, whereas the A values exhibited the opposite variation trend. Notably, the second
dehydration step accounted for approximately 73% of the mass-loss
value for the overall mass-loss value observed during the thermal
dehydration of included water. Conversely, the A–C transformation
was characterized by a single-step process, exhibiting smooth change
in the fractional transition as a function of time and temperature
under the isothermal and linear nonisothermal conditions, respectively.
By comparing the temperature regions of the multistep thermal dehydration
of the included water and the A–C transformation on the temperature
axis of linearly increasing temperatures, the temperature region of
the A–C transformation was positioned across the second-half
of the second dehydration step to the first-half of the third dehydration
step. From the time sequence of the overall phenomena, the A–C
transformation induced by the second dehydration step and the subsequent
third dehydration step induced by the A–C transformation are
deduced as the cause and effect relations. In a physicogeometrical
viewpoint, the thermal dehydration of included water occurs in a scheme
of contracting geometry because the diffusional removal of water vapor
is needed. Therefore, the potential sites of the A–C transformation
in the construction of the biomineralized aragonite are produced by
the movement of the reaction interface of the thermal dehydration
of included water (second dehydration step). Although the microscopic
mechanism of the A–C transformation is explained by the nucleation
and growth mechanism as previously discussed in several studies, the
overall rate behavior of the A–C transformation in the construction
of biomineralized aragonite can be controlled by the contracting geometry
scheme. This physicogeometrical kinetic model considering the mutual
kinetic relationship of the thermal dehydration of included water
and the A–C transformation is supported by the kinetic analysis
of the A–C transformation, resulting in a possible physicogeometrical
constraint described by the phase boundary-controlled model (R(n)).