Next Article in Journal
Prdx6 Regulates Nlrp3 Inflammasome Activation-Driven Inflammatory Response in Lens Epithelial Cells
Next Article in Special Issue
Effects of Segment Length and Crosslinking via POSS on the Calorimetric and Dynamic Glass Transition of Polyurethanes with Aliphatic Hard Segments
Previous Article in Journal
Metabolomics of Cerebrospinal Fluid Amino and Fatty Acids in Early Stages of Multiple Sclerosis
Previous Article in Special Issue
Thermodynamic and Dynamic Transitions and Interaction Aspects in Reorientation Dynamics of Molecular Probe in Organic Compounds: A Series of 1-alkanols with TEMPO
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

How the Presence of Crystalline Phase Affects Structural Relaxation in Molecular Liquids: The Case of Amorphous Indomethacin

1
Department of Physical Chemistry, Faculty of Chemical Technology, University of Pardubice, Studentská 573, 532 10 Pardubice, Czech Republic
2
Faculty of Electrical Engineering and Informatics, University of Pardubice, nam. Cs. legii 565, 530 02 Pardubice, Czech Republic
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(22), 16275; https://doi.org/10.3390/ijms242216275
Submission received: 30 October 2023 / Revised: 10 November 2023 / Accepted: 12 November 2023 / Published: 13 November 2023
(This article belongs to the Special Issue Glass Transition and Related Phenomena 2.0)

Abstract

:
The influence of partial crystallinity on the structural relaxation behavior of low-molecular organic glasses is, contrary to, e.g., polymeric materials, a largely unexplored territory. In the present study, differential scanning calorimetry was used to prepare a series of amorphous indomethacin powders crystallized to various extents. The preparations stemmed from the two distinct particle size fractions: 50–125 µm and 300–500 µm. The structural relaxation data from the cyclic calorimetric measurements were described in terms of the phenomenological Tool–Narayanaswamy–Moynihan model. For the 300–500 µm powder, the crystalline phase forming dominantly on the surface led to a monotonous decrease in the glass transition by ~6 °C in the 0–70% crystallinity range. The activation energy of the relaxation motions and the degree of heterogeneity within the relaxing matrix were not influenced by the increasing crystallinity, while the interconnectivity slightly increased. This behavior was attributed to the release of the quenched-in stresses and to the consequent slight increase in the structural interconnectivity. For the 50–125 µm powder, distinctly different relaxation dynamics were observed. This leads to a conclusion that the crystalline phase grows throughout the bulk glassy matrix along the internal micro-cracks. At higher crystallinity, a sharp increase in Tg, an increase in interconnectivity, and an increase in the variability of structural units engaged in the relaxation motions were observed.

1. Introduction

The glass transition is a fundamentally essential phenomenon that characterizes the behavior of all amorphous materials [1,2]. Below the glass transition, the structure of the material is solidified (hard and brittle), with practically no diffusion or viscous flow taking place. Above the glass transition, a liquid-like structure dominates in the material, which, as a consequence, becomes more reactive, flexible, and pliant. Depending on the material class (inorganic glasses, polymers, molecular glasses, etc.), the material’s macroscopic mechanistic behavior in the liquid-like temperature region can exhibit either softening, flow, or a rubbery state [3,4,5]. Similar to the mechanical properties (strength, elasticity, brittleness, and deformation behavior), the glass transition manifests itself through large changes in numerous other properties: density, thermal expansion coefficient, heat capacity, electrical conductivity and dielectric constant, transparency, or molecular mobility [6,7,8]. Vast numbers of different glassy, polymeric, and generally amorphous materials are being utilized in modern hi-tech applications, as well as throughout everyday common manufacturing/life. Hence, the exploration of the glass transition (be it theoretical or through the determination of the characteristic temperature Tg associated with this phenomenon) stands in the spotlight of the materials and solid-state sciences [9,10,11,12,13]. Note that a simple search within the Web of Science database (keyword “glass transition”) generates over 53,000 entries in just the last 10 years.
The underlying process that defines the rate and magnitude of the changes of the above-mentioned properties at the glass transition is called structural relaxation [14,15]. The kinetics of the structural relaxation movements are nowadays commonly described in terms of the phenomenological Tool–Narayanaswamy–Moynihan (TNM) relaxation model [16,17,18]:
Φ ( t ) = exp 0 t dt τ T , T f β
τ ( T , T f ) = A TNM exp x Δ h * RT + ( 1 x ) Δ h * RT f
that is based on the concept of the fictive temperature Tf [16]. Tf is defined as the temperature of the undercooled liquid with the same structure as that of the relaxing glass at the given time. The evolution of Tf during the structural relaxation depends (see Equations (1) and (2)) on the following quantities: time t, temperature T, relaxation time τ, the universal gas constant R, the apparent activation energy of structural relaxation Δh*, the pre-exponential constant ATNM, the non-linearity parameter x (0 < x ≤ 1), and the non-exponentiality parameter β (0 < β ≤ 1).
Despite the phenomenological nature of the TNM model, various interpretations of its parameters were proposed. The activation energy represents an energetic barrier for the relaxation movements. The pre-exponential factor corresponds to the frequency of relaxation movements. The non-exponentiality parameter reflects the heterogeneity (width of the distribution of the relaxation times), and the non-linearity parameter indicates the degree of interconnectivity and cooperativity between the units carrying the relaxation motions [19,20,21,22]. Consequently, such interpretations can be correlated with the experimentally determined structural changes in the amorphous materials. Compositional trends of the TNM parameters can then be used to obtain generalized information about the structural relaxation behavior within the given glassy system or material family [23,24,25]. Whereas the chemistry-based evolution of the glass transition kinetics absolutely dominates modern scientific research, there is still a considerable amount of papers dealing with the physics-based changes of the structural relaxation motions in the glass transition range. Namely, the deviations between the relaxation kinetics of the deeply relaxed states and in the near-Tg equilibrium belong among the current hot topics [26,27,28,29,30]. Another even more extensive field of research is focused on the plasticization-induced changes in the glass transition behavior [31,32,33,34,35]. It is thus quite surprising that similar attention has not been paid to the relaxation movements being (possibly) influenced by the presence of the adjacent crystalline phase.
Formation of the crystalline phase in amorphous materials is usually considered undesirable, as the nuclei and/or crystallites can significantly change the workability and many other key properties of glassy matrices. However, there are a number of important applications where the co-existence of the amorphous and crystalline phases is crucial/unavoidable. For example, in the glass–ceramics, a controlled formation of crystallites within the amorphous matrix is utilized to improve the mechanical properties [36,37,38]. Numerous polymers are also semi-crystalline in nature, where a single polymeric chain can be part of a crystalline segment as well as of an amorphous domain [39,40,41]. So far, the absolute majority of the (few) papers dealing with the influence of the crystalline phase on the relaxation processes was performed for polymeric materials. The effect of ~25 w.% crystallinity on the structural relaxation of poly(L-lactic) acid was studied in [42]—the following changes in the TNM parameters were observed with the presence of the crystalline content: Δh* ≈ 1049 → 901 kJ·mol−1, x ≈ 0.10 → 0.12, β ≈ 0.40 → 0.35, no change in A. These findings indicate that the mobility of the amorphous phase confined between the crystalline lamellae is dynamically distinct from that of the bulk amorphous. Also, the amorphous chains in the close vicinity of the crystalline regions will eventually undergo conformational rearrangement at higher temperatures, increasing the dynamic heterogeneity and broadening the distribution of relaxation times [42]. In protein-based thermoplastics [43,44], the presence of crystalline content constrains the motions of amorphous chains, giving rise to a broader distribution of relaxation times (lower β) and an increase in Tg. In addition, a secondary type of relaxation motion (αc relaxation) can occur for the polymeric chains included in the organized/crystalline structures [43,44]. In the case of thermoplastic polyurethane [45], the increased crystalline content partially suppresses the structural relaxation via restraining the chain motions. This resulted in an increase in Tg and a slight increase in β (due to the phase separation of the soft and hard structural segments). Stronger suppression of the relaxation motions occurred for crystallization at low T, where a larger amount of smaller crystalline domains were formed (due to the simultaneously proceeding nucleation and lower growth rate). This resulted in the larger specific area of the crystalline/amorphous interface. Conforming findings were also observed for the poly(L-lactic) acid in [46], where the relaxation-hindering effect of crystallinity was confirmed to be only slightly below Tg. At these temperatures, the segmental movements are still allowed, and the dynamics of the mobile amorphous phase are significantly affected by the crystalline microstructure. On the other hand, well below Tg, only local movements occur in both the mobile and rigid amorphous phases, and the effect of imposed crystallinity is minor. The effect of crystallinity on the structural relaxation of poly(p-dioxanone) was studied in [47]. With the increasing amount of crystalline content, Δh* and A remained unchanged, β suddenly and largely decreased (0.50 → 0.15) only at a very high degree of crystallinity, and x continually increased from 0.45 to 0.80. A slow low-T formation of the crystalline phase in the inorganic polymeric glass Se70Te30 [48] led to an increase in Δh* from 308 to 366 kJ·mol−1.
Contrary to the majority of the existing literature, in the present paper, the effect of crystallinity on structural relaxation will be studied for a low-molecular glass—the amorphous indomethacin (IMC). Indomethacin is a nonsteroidal anti-inflammatory drug that is used for various medical conditions. It has analgesic, antipyretic, and anti-inflammatory properties [49,50,51,52]. One of the main uses of indomethacin is in the treatment of pain and inflammation associated with conditions such as arthritis, gout, and ankylosing spondylitis. It is also used to relieve pain and reduce inflammation after surgery or injury [49]. Indomethacin has been found to be effective in the treatment of certain types of headaches, such as paroxysmal hemicrania and hemicrania continua [50]. In contrast to polymeric materials, where the crystalline phase is formed within the material volume, the low-molecular organic glasses preferentially crystallize from the surface. Note that the preferential surface crystal growth is a consequence of these glasses having very high surface mobility/diffusion and low molecular weight [53,54,55]. A highly energetic crystallization center (such as a defect or a micro-crack) is, however, still needed for the crystal growth to proceed [53,54,55]. Hence, the surface crystalline content should theoretically have zero impact on the structural relaxation in bulk material. It should also increase with the decreasing particle size of the powdered glass, where the crystal growth propagating along the micro-cracks and other mechanically induced defects can start to constrain the molecular relaxation motions. These hypotheses will be tested in the present paper, using the calorimetric measurements of enthalpy relaxation for various IMC powders (differing size-wise) crystallized to a gradually increasing extent.

2. Results

Differential scanning calorimetry (DSC) was used to perform two types of cyclic relaxation experiments—the constant ratio (CR) cycles (heating rate q+ similar to the rate of cooling q in the preceding step) [56] and the constant heating rate (CHR) cycles [57]. The experiments were performed for two batches of the as-prepared powdered IMC (fine powder with particle size 50–125 µm and coarse powder with particle size 300–500 µm). The DSC curves obtained within these measurements are displayed in Figure 1.
The most prominent feature is the significant decrease in Tg (by ~6 °C) for the fine IMC powder in comparison with the coarse particle size fraction. Since this ΔTg difference is preserved unchanged even at the lowest heating rates (q+), the influence of the thermal gradients within the samples or during the heat transfer to the DSC sensor can be ruled out [56]. Note the difference between the larger compact grains vs. a multilayer of smaller grains. The former has worse contact with the bottom of the DSC pan. The latter has better contact with the bottom of the DSC pan but also has air gaps in between the individual IMC grains stacked on top of each other. As will be shown later in this section, the initial powdering of the IMC bulk glass was not associated with any formation of crystalline phase, nor did the increase in the sample surface lead to increased adsorption of water from the atmosphere (which could have been an additional reason for the Tg decrease). This leaves only the increased surface area and the increased presence of mechanically induced defects as the potential reasons for the decrease in Tg of the fine IMC powder. The surface of the low-molecular organic glasses (IMC included) is known to exhibit faster self-diffusion by an order of magnitude, which can lead to the so-called glass-crystal growth [58,59] along the micro-cracks. This effect is, however, strictly surface-located and proceeds below Tg. As such, it should not considerably influence the structural relaxation processes that proceed within the materials volume. On the other hand, the presence of mechanical defects (edges, micro-cracks, dislocations, surface corrugation,…) can certainly induce changes in the bulk material behavior [60]. However, these changes should probably still propagate only in the vicinity of these defects, and the majority of the material’s volume should remain uninfluenced. Moreover, the mechanical defects and grain boundaries are usually perceived as barriers to diffusion [61,62], which should lead to an increase in Tg. A possible explanation for the lowered Tg may be based on an increased release of the internal stresses (originating from the melt-quench procedure) [63,64] during the more intense grinding/powdering. The existence of these stresses was confirmed experimentally during the powdering process, where even light tapping led to the shattering of the larger IMC grains. Note that for the low-molecular organic glasses, annealing below/at Tg (which is normally used in the glass industry to release internal stress) is not a good option due to the fast degradation of the amorphous structure via the glass-crystal growth that proceeds at maximum rate at these temperatures.
For each of the two amorphous IMC powders, a series of samples with different contents of crystalline phase was prepared by heating the material in DSC up to a (gradually increasing) selected temperature Tc within the crystallization range. In theory, the achieved degree of the crystalline content should be determinable directly from the corresponding DSC curves measured during the preparation phase. However, the slight delay between the heating and the consequent heating step, as well as the finite rate of the cooling, introduce too large errors in the calculation. Therefore, the amount of the crystalline phase within the samples was determined indirectly by heating the fully processed samples (after performing the intended sets of CR and CHR cycles) up to the melting point—see Figure 2. From these DSC records, the degree of crystalline content χc can be calculated as:
χ c = 1 Δ H c · Δ H m A Δ H c A · Δ H m
In Equation (3), ΔHc and ΔHm are the enthalpies associated with the crystallization and melting processes, and the superscript “A” denotes the values obtained during the heating of the fully amorphous (as-prepared IMC powder). Apart from the Tg-related information (which will be introduced in detail later in this section), the DSC curves from Figure 2 also provide a very interesting insight into the crystallization behavior of amorphous and partially crystalline IMC. The coarse powder (300–500 µm) shows a relatively common behavior consistent with previous research conducted in this field [20,65]—i.e., the presence of the low-T-crystallized α polymorphic phase accelerates the crystal growth during the consequent secondary crystallization step (depicted in Figure 2B). On the contrary, in the case of the finely ground IMC powder (Figure 2A), the development of the crystallization behavior with the increasing content of the initially present crystalline phase is rather complex. In particular, a non-monotonous dependence of the crystallization temperature on Tc (and, by translation, on χc) emerges. In addition, the 50–125 µm DSC data show a small melting peak at ~123 °C. This may be an indication of the unstable δ IMC polymorph (characteristic melting temperature Tm = 129 °C [66]) usually prepared only from a solution, but it may also be possible evidence for an entirely new IMC polymorph. Either way, the double-step crystallization of IMC shows very interesting and unusual data and appears to be worth pursuing in the future.
The fully amorphous as well as partially crystallized IMC powders were further characterized by means of Raman and optical microscopies. The Raman spectra depicted in Figure 3A show the spectral range in which the vibrational differences between the amorphous and crystalline IMC samples can be most easily recognized. Whereas the amorphous IMC is characterized by the broad Raman band at 1685 cm−1, γ-IMC is characterized by the 1700 cm−1 band (benzoyl C=O stretching), and α-IMC is characterized by bands at 1650 (benzoyl C=O stretching), 1680 (benzoyl C=O stretching), and 1692 cm−1 (acid O-C=O stretching) [66,67]. Note that the partially crystalline sample was obtained by heating the IMC powder just below the onset of the DSC crystallization peak, i.e., no exothermic signal was yet observed on the DSC curve. Nonetheless, the Raman spectrum already shows a slight small band at 1650 cm−1 and a shoulder near 1700 cm−1, confirming that both polymorphs form under these conditions simultaneously. The multicomponent analysis (performed in the OMNIC Specta 2.1 software from ThermoFisher Scientific, Waltham, MA, USA) of the partially crystallized sample determined 14 % crystallinity, which is significantly more than would be expected based on the DSC data. However, it has to be borne in mind that the Raman microscopy is a surface-sensitive technique, with the signal collection being performed from a sphere with ~10–15 µm diameter. In the case of the fully DSC-crystallized IMC sample, all crystalline bands (1650, 1680, and 1700 cm−1) are well developed. Their ratio indicates that the α-polymorph is significantly more represented—the sole γ-IMC would exhibit the 1700 cm−1 band with ~triple the intensity of the present signal within the crystalline spectrum. The corresponding optical micrographs obtained in the reflective mode for the samples from Figure 3A are shown in Figure 3B–D. The fully amorphous sample shows the typical glassy fractures and is covered with occasional IMC dust particles. Note that the amorphous nature of these formations/aggregates was indeed confirmed via Raman microscopy. The particle in Figure 3C shows a fragment of a broken partially crystallized IMC grain. The right side of the particle corresponds to the interior glassy fracture, and the left side shows the top-side view of the surface crystalline layer (thickness of ~4–5 µm). The IMC grains in Figure 3D show fully crystallized samples. After breaking these samples, a fine powder with essentially the same surface morphology was formed, confirming that the whole of the inner volume was fully crystalline.
Each partially crystallized IMC sample was subject to a set of CR and CHR relaxation cycles. The evolution of the DSC signal in the glass transition range (displayed for each sample via the q = 1 °C∙min−1 & q+ = 10 °C∙min−1 CHR cycle) with increasing Tc is shown in Figure 4.
Interestingly, the Tg exhibits similar evolution with Tc and particle size to the positions of the crystallization peak in Figure 2—a monotonous decrease for the 300–500 µm powder and a decrease followed by an increase at the high degree of crystalline content for the 50–125 µm powder. Thus, the presence of mechanical defects and the consequent distribution of the crystalline phase throughout the glassy IMC matrix (the crystallites grow preferentially along the micro-cracks, both on the surface and inside the bulk material) play a pivotal role in the structural relaxation processes of the low-molecular glasses as well. In particular, two competing phenomena appear to be influencing the Tg position. First, a similar effect to that described above regarding the shift of Tg with particle size may also be responsible for the decrease in Tg with the increasing degree of the crystalline content. Since the Tgs of both powder fractions are still spaced apart significantly even after heating to relatively high temperatures (76 and 99 °C, respectively), the increased temperature itself evidently does not play a major role in self-healing and/or releasing the stress within the material. The increased material mobility thus has to be directly connected to the presence of the crystalline phase, which grows at the most stress-exposed locations—micro-cracks and surfaces. In the case of the 50–125 µm powder, a significant increase in Tg was observed (see Figure 4A) at a higher degree of crystallinity. This is consistent with numerous literature reports for polymeric materials, where the immobile crystalline phase restricts the segmental and chain relaxation motions [42,43,44,45,46].
The above-introduced qualitative view on the evolution of Tg with the degree of crystallinity is quantified in Figure 5A (the Tg values were determined from Figure 4; the uncertainties for the Tg and χc determination are approx. 0.5 °C and 0.05, respectively). Apart from the already described features, the graph clearly shows that for the finely powdered material (with the glassy matrix supposedly interwoven with a crystalline network formed along the internal micro-cracks and akin mechanically induced defects), the hindering of the structural relaxation motions occurs relatively early, between 30 and 40% of the crystalline content. On the other hand, for the coarse IMC powder, where the absolute majority of the crystalline phase forms on the grains’ surface [65], no restriction of the structural relaxation (at least in the sense of the decrease in the overall structural mobility expressed by Tg) occurs even at 70% of crystallinity. Note that it is most probably a coincidence that the increase in Tg for the fine powder appears to match (fall onto) the dependence for the coarse powder.
In addition to the Tg values, the difference of the undercooled liquid and glass heat capacities Δcp at Tg was calculated—see Figure 5B (the uncertainty associated with the Δcp determination is approx. 0.04–0.05 J·g−1·K−1). Again, the two IMC powders exhibit different base Δcp values. Note, however, that cp is a thermodynamic quantity (as opposed to a kinetically driven one), and as such, the difference cannot be interpreted in the same manner as that of Tg. Instead, the changes need to be explained in terms of the accessible vibrational modes of the corresponding structures. Assuming that the changes in the chemical contribution to cp (bonding arrangements up to the medium-range structures) are negligible or similar for both types of IMC powder, it is the increase in free volume (configurational entropy) that is responsible for the larger Δcp [68]. Correspondingly, the finely powdered material appears to exhibit a significantly larger free volume (consistent with lower Tg) as a consequence of either the quenched-in stress being released, or due to the mechanical damage loosening the otherwise compact bulk structure. Whereas the decrease in Δcp with χc follows the generally accepted concept of the amount of the amorphous phase being proportional to the Δcp value, quantitatively, significantly larger apparent Δcp values were obtained. A possible explanation might involve some new vibrational modes arising either from within the crystalline phase alone or from the amorphous/crystalline interfaces. Nonetheless, further research is definitely needed in this regard.

3. Discussion

Although several very interesting features of the crystallinity-influenced glass transition behavior of the powdered IMC were introduced in the previous section, true insight into the structural relaxation kinetics can be gained only by a rigorous mathematical description of the experimental data. In the present case, the enumeration of the TNM model equations (Equations (1) and (2)) will be used to determine the evolution of the relaxation kinetics with χc. Following the guide [69] for the evaluation of the DSC relaxation data, the apparent activation energy of structural relaxation Δh* needs to be determined first. In this regard, the most robust and reliable solution is the evaluation from the CR cycles based on the following equation:
Δ h * R = dln q d 1 / T P q / q + = const
where Tp is the temperature corresponding to the maximum of the relaxation peak/overshoot. These dependencies are for the present amorphous and partially crystalline IMC powders shown in Figure 6A,B.
Apart from the confirmation of the Tg being shifted with χc in the same manner in the whole q+ range, the linearity of the obtained dependences also unambiguously rules out any significant influence of the thermal gradients within the samples/system [56]. As was shown in [70], Equation (4) systematically overestimates the apparent activation energy, and the following correction needs to be applied to calculate the true Δh* values:
Δ h exp * / R Δ h true * / R · 100 % = 4.218 · 10 5 Δ h true * / R 2 + 4.841 · 10 2 Δ h true * / R + 9.885 · 10 1 / Δ h true * / R 1.276
where the indices “exp” and “true” denote the experimentally obtained (via Equation (4)) and true values of activation energy. In the present case, the magnitude of the Δh* corrections ranged between 4.3 and 4.6%. The χc dependences of the activation energy are shown in Figure 6C. In their absolute magnitude, the Δh* values comply with the typical Δh* range reported for the low-temperature organic and inorganic glasses. With the increasing degree of crystalline content, the activation energy of IMC structural relaxation remains roughly constant up to χc ≈ 0.5 and appears to slightly decrease (by ~10%) at higher χc. Note that the preparation of IMC powders with 1 > χc > 0.5, where the glass transition phenomenon would manifest clearly enough, was found to be extremely difficult, hence the low amount of data in the corresponding χc range. As was already stated in the introductory part, various Δh*-χc trends exist in different materials [42,47,48]. Regarding the interpretation of the data shown in Figure 6C, the constancy of Δh* in the low-χc range implies that similar explanations cannot be used for the evolution of Tg and Δh*. The increasing content of the crystalline phase (existing either on the surface of the bulk material or being permeated throughout the amorphous phase) seems to have no significant influence over the number of the inter- or intra-molecular bonds that need to be broken during the relaxation movements.
The pre-exponential factor ATNM (incorporated in the TNM model—see Equation (2)) was for the individual amorphous and partially crystalline IMC samples determined by means of curve-fitting based on the non-linear optimization [71]. The corresponding lnATNM values are for the present IMC samples listed in Table 1.
The curve-fitting was, however, not of sufficient quality for the reliable determination of the TNM parameters β and x (divergence to physically senseless values due to the instrumentally distorted asymmetry of the relaxation peak). On the other hand, with the knowledge of Δh* and ATNM, a robust evaluation in terms of the simulation-comparative method [72] can be used even for such data to accurately extract the TNM kinetic information. The method utilizes the comparison of the experimental and theoretically simulated dependences of the height of the normalized relaxation peak Cpmax during the CHR cyclic experiments. The normalization of the relaxation data is based on the following equation:
C p N T = C p T C pg T C pl T C pg T
In Equation (6), CpN(T) is the normalized relaxation signal, Cp(T) is the measured signal, and Cpg(T) and Cpl(T) are the extrapolated DSC signals in the glassy and undercooled liquid regions, respectively.
The dependences of Cpmax on the glassy state thermal history achieved during the given CHR cycle are for the present IMC samples shown in Figure 7A,B.
Although the Cpmax-log(q/q+) dependences exhibit rather small changes with increasing crystallinity, clear trends can be recognized. As the content of the crystalline phase increases, the 50–125 µm dependences decrease in slope, and the slope of the 300–500 µm dependences increases. To each IMC sample (defined by the given Δh* and ATNM combination), a unique series of 6561 theoretically simulated Cpmax-log(q/q+) dependences was attributed based on the correspondence of the Δh* and ATNM values. Each such database contained dependences simulated for the defined Δh* and ATNM combination. Hence, the Δh* and ATNM were fixed, while the β and x parameters varied in the 0.2–1.0 range with the step of 0.01, therefore resulting in 6561 unique TNM parameters combinations. From each database, the theoretically simulated Cpmax-log(q/q+) dependence closest to the corresponding set of the experimental values was chosen numerically, and the matching combination of the β and x parameters was obtained. An example visual representation of this procedure is depicted in Figure 7C. Note that the figure displays only every tenth theoretically simulated dependence (β and x changing with step of 0.1). In practice, the grid of theoretically simulated data was 10 times denser. To better visualize the course of the individual dependences, a vertical “cut” (at log(q/q+) = 0) through the data from Figure 7C is displayed as a 3D plot in Figure 7D. In particular, Figure 7D shows the simulated dependence of Cpmax on β and x for q = 10 °C·min−1. Essentially, each experimentally determined Cpmax value was compared with one such hyperspace. This process was performed simultaneously for the Cpmax values corresponding to the given series of the CHR cycles, with the least sum of squared residue being the decisive metric.
The values of the β and x parameters determined by the simulation-comparative method [72] are shown in Figure 8.
Both TNM parameters were determined with the ~±0.02 errors. Starting with the non-exponentiality parameter β, the crystalline layer formed preferentially on the surface of the amorphous grains (the case of the 300–500 µm particle size fraction) does not influence the degree of heterogeneity within the amorphous matrix. On the other hand, in the case of the 50–125 µm powder, the uniformity of structural motions employed in the structural relaxation slightly increases with χc, but above χc ≈ 0.3, the distribution of the relaxation times significantly broadens (as β decreases). This appears to correlate well with the evolution of Tg with χc. Consequently, above a certain crystallinity threshold, the amorphous phase in the close vicinity of the glass/crystal interface undergoes conformational rearrangement, forming larger super-structures (with the changes possibly induced by a process akin to templating at the crystal–crystal interface). This assumption is further supported by the trends in the x-χc dependence (see Figure 8B), where the sharp decrease observed for the 50–125 µm powder above ~χc = 0.3 can be interpreted [20,47] as an increase in the interconnectivity of the relaxing structure. Note that the decrease in the non-linearity parameter x indicates a larger dependence of the relaxation motions on the actual material’s structure (as opposed to the dependence on T alone). When comparing these findings to the literature data (introduced in Section 1), the broadened distribution of the relaxation times appears to be quite a common feature [42,43,44,47], also confirmed by our results. The non-monotonic evolution of x with increasing crystalline content was, to the authors’ knowledge, not reported in the literature; the initial steep increase in x can be considered conformant with [47].

4. Materials and Methods

The amorphous indomethacin (IMC) was prepared by means of the melt-quench technique from the as-purchased crystalline γ-polymorph (purity > 99%; Sigma-Aldrich, Prague, Czech Republic). The purchased crystalline IMC was melted in a glass vial immersed in an oil bath (heated to 165 °C); the vial was consequently quenched in cold (~10 °C) water. The bulk IMC ingot was then powdered with an agate mortar and pestle and fractionalized using a set of sieves with defined mesh sizes (Retsch, Haan, Germany). In the present study, powder fractions with 50–125 µm and 300–500 µm particle size ranges were used. The powders were stored in the dark in a frozen (−10 °C) desiccator. As the IMC powders were found to nucleate even under these conditions, they were intentionally aged for 7 days so that the number of nuclei was stabilized and the crystallization behavior was as reproducible as possible.
The initial preparation of the partially crystallized IMC powders, as well as the heat treatment within the cyclic relaxation temperature programs, was realized using the heat flow differential scanning calorimeter DSC Q2000 (TA Instruments, New Castle, DE, USA) equipped with an autosampler, an RCS90 cooling accessory, and T-zero technology. The DSC calibration was performed based on the melting temperatures and enthalpies of In, Zn, and H2O standards. All DSC measurements were performed in hermetically sealed Al pans and static air atmosphere; the sample masses were 2.5–3.5 mg (accurately determined to ±0.01 mg). The preparation of the partially crystallized powder samples was conducted based on the preceding test measurements (one for each particle size), performed at 5 °C∙min−1 in the 20–180 °C range. Following the exact positions of the crystallization peaks on the temperature axis, a series of crystallization temperatures Tc was selected for each powder fraction: for the 50–125 µm powder, the Tcs of 74, 75, 76, 77, and 78 °C were chosen; for the 300–500 µm powder, the Tcs were 97, 99, and 101 °C. By heating each sample at 5 °C∙min−1 to a selected Tc, two series of partially crystallized IMC powders were prepared for the two particle size fractions.
The structural relaxation measurements were based on two types of cyclic temperature programs—the constant ratio (CR) cycles [56] and the constant heating rate (CHR) cycles [57]. In the case of both cycle types, the samples were cyclically cooled and heated through the glass transition region, with the applied cooling rates being q = 20, 15, 10, 7, 5, 3, 2, and 1 °C∙min−1 (in that order). In the CR cycles, the samples were heated at heating rates q+ similar in absolute magnitude to the preceding q. The broadest T range (0–55 °C) used for the highest q+ was progressively cut on the high-T side for each consequent cycle to limit the risk of unwanted secondary crystal growth, proceeding during the slowest cooling and heating steps to minimum. In the CHR cycles, the samples were always heated at 10 °C∙min−1. The maximum temperature limits were 47 and 52 °C for the 50–125 µm and 300–500 µm powders, respectively. For each combination of powder size and Tc, the set of CR cycles was immediately followed by the set of CHR cycles without removing the pan from the DSC cell to improve the reproducibility. After performing both types of cyclic relaxation measurements, each sample was heated at 5 °C∙min−1 in the 30–180 °C temperature range to cause it to be fully crystallized and consequently melted. These final measurements were used to calculate the exact degree of crystalline content formed during the initial preparation of partially crystalline matrices.
In addition to the DSC technique, a Raman microscope DXR2 (Nicolet, Thermo Fisher Scientific, Prague, Czech Republic), equipped with a 785 nm excitation diode laser (30 mW, laser spot size of 1.6 μm) and CCD detector, was used to collect the Raman spectra of the amorphous and DSC-crystallized samples. The experimental setup for the Raman experiments was a 20 mW laser power on the sample, 3 s duration of a single scan, and 50 scans summed in one spectrum. The optical microscope iScope PLMi (Euromex, Arnhem, The Netherlands), equipped with 40× and 80× high-quality objectives and a Moticam visual camera, was used in the polarized reflection mode to check the nature of the typically formed crystallites.

5. Conclusions

The influence of the degree of crystallinity χc on the structural relaxation kinetics (described within the TNM concept) was studied for the coarse (300–500 µm particle size) and fine (50–125 µm) IMC powders. In the case of coarse powder, where the formation of the crystalline phase occurs dominantly on the surface, the glass transition monotonically decreases (by ~6 °C in the 0–70% crystallinity range). Regarding the relaxation dynamics, the activation energy for the relaxation motions and the degree of heterogeneity within the relaxing matrix remain practically unchanged, while the interconnectivity seems to slightly increase with χc. This behavior was primarily explained by the release of the quenched-in stresses (decrease in Tg) and the consequent slight increase in the structural interconnectivity. For the fine IMC powder, the crystalline phase is assumed to be permeated throughout the bulk glassy matrix to a much higher degree, as it can form along the internal micro-cracks. This results in a significantly distinct behavior, where at higher χc, a sharp increase in Tg, an increase in interconnectivity, and an increase in the variability of structural units engaged in the relaxation motions occur. This threshold is possibly associated either with the formation of a fully interconnected internal network of crystalline phases (that would significantly constrict the magnitude of the relaxation domains, leading to enforced cooperation of relaxation movements) or with a complete release of internal stresses (that previously constricted the relaxation movements).
Considering the number of surprising findings, consequent research is certainly needed. The following list of questions and research points appears to be the most promising:
  • Where is the borderline between the two types of crystal growth penetration into the glassy matrix? Experiments: perform an akin but more extensive study, employing a large number of narrowly defined particle size fractions.
  • Is the internal stress truly responsible for the differences in the Tg values of the two size-varied powders and for the decrease in Tg with χc? Experiments: achieve similar particle size with different levels of stress by gentle tapping, force-based grinding, and, e.g., spray-drying; employ long-term annealing to further differentiate levels of internal stress; correlate Tg with the light polariscope results.
  • What is the layout of the crystalline phase within the fine partially crystallized glass grains? Experiments: map the layout, e.g., with confocal Raman microscopy.
  • Are the findings regarding the evolution of relaxation kinetics universal for other low-molecular organic glasses? Experiments: repeat the study for other materials while focusing on the compounds with the least interfering phenomena, i.e., compounds that exhibit no significantly competing polymorphism and have a zero-to-low rate of glass-crystal growth in the glass transition region.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/ijms242216275/s1.

Author Contributions

Conceptualization, R.S.; methodology, R.S., M.P. and P.D.; software, M.P. and P.D.; validation, R.S., M.P. and P.D.; formal analysis, R.S.; investigation, R.S., M.P. and P.D.; resources, R.S., M.P. and P.D.; data curation, R.S. and M.P.; writing—original draft preparation, R.S.; writing—review and editing, R.S., M.P. and P.D.; visualization, R.S.; funding acquisition, R.S. and P.D. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Ministry of Education, Youth, and Sports of the Czech Republic, grant number LM2023037.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are available on request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Angell, C.A.; Ngai, K.L.; McKenna, G.B.; McMillan, P.F.; Martin, S.W. Relaxation in glassforming liquids and amorphous solids. J. Appl. Phys. 2000, 88, 3113–3157. [Google Scholar] [CrossRef]
  2. Struik, L.C.E. Physical Aging in Amorphous Polymers and Other Materials; Elsevier Scientific Pub. Co.: Amsterdam, The Netherlands, 1978. [Google Scholar]
  3. Kovacs, A.J. Transition vitreuse dans les polymères amorphes. Etude phénoménologique. In Fortschritte der Hochpolymeren-Forschung; Advances in Polymer Science; Springer: Berlin/Heidelberg, Germany, 1964; Volume 3. [Google Scholar] [CrossRef]
  4. Scherer, G.W. Theories of relaxation. J. Non-Cryst. Sol. 1990, 123, 75–89. [Google Scholar] [CrossRef]
  5. Hodge, I.M. Enthalpy relaxation and recovery in amorphous materials. J. Non-Cryst. Sol. 1994, 169, 211–266. [Google Scholar] [CrossRef]
  6. Richert, R. Physical Aging and Heterogeneous Dynamics. Phys. Rev. Lett. 2010, 104, 085702. [Google Scholar] [CrossRef]
  7. Shi, X.; Mandanici, A.; McKenna, G.B. Shear stress relaxation and physical aging study on simple glass-forming materials. J. Chem. Phys. 2005, 123, 174507. [Google Scholar] [CrossRef]
  8. Berthier, L.; Biroli, G. Theoretical perspective on the glass transition and amorphous materials. Rev. Mod. Phys. 2011, 83, 587. [Google Scholar] [CrossRef]
  9. McKenna, G.B.; Simon, S.L. 50th Anniversary Perspective: Challenges in the Dynamics and Kinetics of Glass-Forming Polymers. Macromolecules 2017, 50, 6333–6361. [Google Scholar] [CrossRef]
  10. Gao, X.Y.; Ong, C.Y.; Lee, C.S.; Yip, C.T.; Deng, H.Y.; Lam, C.H. Kauzmann paradox: A possible crossover due to diminishing local excitations. Phys. Rev. B 2023, 107, 174206. [Google Scholar] [CrossRef]
  11. Jaeger, T.D.; Simmons, D.S. Temperature dependence of aging dynamics in highly non-equilibrium model polymer glasses. J. Chem. Phys. 2022, 156, 114504. [Google Scholar] [CrossRef] [PubMed]
  12. Wu, G.; Liu, Y.; Shi, G. New Experimental Evidence for Thermodynamic Links to the Kinetic Fragility of Glass-Forming Polymers. Macromolecules 2021, 54, 5595–5606. [Google Scholar] [CrossRef]
  13. Peredo-Ortiz, R.; Medina-Noyola, M.; Voigtmann, T.; Elizondo-Aguilera, L.F. “Inner clocks” of glass-forming liquids. J. Chem. Phys. 2022, 156, 244506. [Google Scholar] [CrossRef]
  14. Ngai, K.L.; Capaccioli, S.; Wang, L.M. Segmental α-Relaxation for the First Step and Sub-Rouse Modes for the Second Step in Enthalpy Recovery in the Glassy State of Polystyrene. Macromolecules 2019, 52, 1440–1446. [Google Scholar] [CrossRef]
  15. Vela, D.D.; Simmons, D.S. The microscopic origins of stretched exponential relaxation in two model glass-forming liquids as probed by simulations in the isoconfigurational ensemble. J. Chem. Phys. 2020, 153, 234503. [Google Scholar] [CrossRef] [PubMed]
  16. Tool, A.Q. Relation between inelastic deformability and thermal expansion of glass in its annealing range. J. Am. Ceram. Soc. 1946, 29, 240–253. [Google Scholar] [CrossRef]
  17. Narayanaswamy, O.S. A model of structural relaxation in glass. J. Am. Ceram. Soc. 1971, 54, 491–497. [Google Scholar] [CrossRef]
  18. Moynihan, C.T.; Easteal, A.J.; DeBolt, M.A.; Tucker, J. Dependence of the fictive temperature of glass on cooling rate. J. Am. Ceram. Soc. 1976, 59, 12–16. [Google Scholar] [CrossRef]
  19. Adam, G.; Gibbs, J.H. On the Temperature Dependence of Cooperative Relaxation Properties in Glass-Forming Liquids. J. Chem. Phys. 1965, 43, 139–146. [Google Scholar] [CrossRef]
  20. Svoboda, R.; Košťálová, D.; Krbal, M.; Komersová, A. Indomethacin: The Interplay between Structural Relaxation, Viscous Flow and Crystal Growth. Molecules 2022, 27, 5668. [Google Scholar] [CrossRef]
  21. Nitta, K.-H.; Ito, K.; Ito, A. A Phenomenological Model for Enthalpy Recovery in Polystyrene Using Dynamic Mechanical Spectra. Polymers 2023, 15, 3590. [Google Scholar] [CrossRef]
  22. Bari, R.; Simon, S.L. Determination of the non-linearity and activation energy parameters in the TNM model of structural recovery. J. Therm. Anal. Calorim. 2018, 131, 317–324. [Google Scholar] [CrossRef]
  23. Málek, J. Structural Relaxation Rate and Aging in Amorphous Solids. J. Phys. Chem. C 2023, 127, 6080–6087. [Google Scholar] [CrossRef]
  24. Hempel, E.; Kahle, S.; Unger, R.; Donth, E. Systematic calorimetric study of glass transition in the homologous series of poly(n-alkyl methacrylate)s: Narayanaswamy parameters in the crossover region. Thermochim. Acta 1999, 329, 97–108. [Google Scholar] [CrossRef]
  25. Svoboda, R. Relaxation processes in Se-rich chalcogenide glasses: Effect of characteristic structural entities. Acta Mater. 2013, 61, 4354–4541. [Google Scholar] [CrossRef]
  26. El Banna, A.A.; McKenna, G.B. Challenging the Kauzmann paradox using an ultra-stable perfluoropolymer glass with a fictive temperature below the dynamic VFT temperature. Sci. Rep. 2023, 13, 4224. [Google Scholar] [CrossRef]
  27. Lancelotti, R.F.; Cassar, D.R.; Nalin, M.; Peitl, O.; Zanotto, E.D. Is the structural relaxation of glasses controlled by equilibrium shear viscosity? J. Am. Ceram. Soc. 2021, 104, 2066–2076. [Google Scholar] [CrossRef]
  28. Novikov, V.N.; Sokolov, A.P. Temperature Dependence of Structural Relaxation in Glass-Forming Liquids and Polymers. Entropy 2022, 24, 1101. [Google Scholar] [CrossRef]
  29. Toda, A. Isothermal enthalpy relaxation of amorphous polystyrene studied using temperature-modulated fast scanning calorimetry. Thermochim. Acta 2023, 721, 179433. [Google Scholar] [CrossRef]
  30. Boucher, V.M.; Cangialosi, D.; Alegria, A.; Colmenero, J. Enthalpy Recovery of Glassy Polymers: Dramatic Deviations from the Extrapolated Liquid-like Behavior. Macromolecules 2011, 44, 8333–8342. [Google Scholar] [CrossRef]
  31. Araujo, A.; Delpouve, N.; Domenek, S.; Guinault, A.; Golovchak, R.; Szatanik, R.; Ingram, A.; Fauchard, C.; Delbreilh, L.; Dargent, E. Cooperativity Scaling and Free Volume in Plasticized Polylactide. Macromolecules 2019, 52, 6107–6115. [Google Scholar] [CrossRef]
  32. Valenti, S.; del Valle, L.J.; Romanini, M.; Mitjana, M.; Puiggalí, J.; Tamarit, J.L.; Macovez, R. Drug-Biopolymer Dispersions: Morphology- and Temperature-Dependent (Anti)Plasticizer Effect of the Drug and Component-Specific Johari–Goldstein Relaxations. Int. J. Mol. Sci. 2022, 23, 2456. [Google Scholar] [CrossRef]
  33. Guo, W.; Yamada, R.; Saida, J. Unusual plasticization for structural relaxed bulk metallic glass. Mater. Sci. Eng. A 2017, 699, 81–87. [Google Scholar] [CrossRef]
  34. Bogdanova, E.; Kocherbitov, V. Assessment of activation energy of enthalpy relaxation in sucrose-water system: Effects of DSC cycle type and sample thermal history. J. Therm. Anal. Calorim. 2022, 147, 9695–9709. [Google Scholar] [CrossRef]
  35. Klähn, M.; Krishnan, R.; Phang, J.M.; Lim, F.C.H.; van Herk, A.M.; Jana, S. Effect of external and internal plasticization on the glass transition temperature of (Meth)acrylate polymers studied with molecular dynamics simulations and calorimetry. Polymer 2019, 179, 121635. [Google Scholar] [CrossRef]
  36. Fu, L.; Engqvist, H.; Xia, W. Glass-Ceramics in Dentistry: A Review. Materials 2020, 13, 1049. [Google Scholar] [CrossRef] [PubMed]
  37. Rawlings, R.D.; Wu, J.P.; Boccaccini, A.R. Glass-ceramics: Their production from wastes—A Review. J. Mater. Sci. 2006, 41, 733–761. [Google Scholar] [CrossRef]
  38. Davis, M.J. Practical Aspects and Implications of Interfaces in Glass-Ceramics: A Review. Int. J. Mater. Res. 2008, 99, 120–128. [Google Scholar] [CrossRef]
  39. Atiq, O.; Ricci, E.; Baschetti, M.G.; De Angelis, M.G. Modelling solubility in semi-crystalline polymers: A critical comparative review. Fluid Phase Equilibria 2022, 556, 113412. [Google Scholar] [CrossRef]
  40. Brinkmann, M. Insights into the structural complexity of semi-crystalline polymer semiconductors: Electron diffraction contributions. Mater. Chem. Front. 2020, 4, 1916–1929. [Google Scholar] [CrossRef]
  41. Bigg, D.M. Mechanical property enhancement of semi-crystalline polymers—A review. Polym. Eng. Sci. 1988, 28, 830–841. [Google Scholar] [CrossRef]
  42. Mano, J.F.; Gómez Ribelles, J.L.; Alves, N.M.; Sanchez, M.S. Glass transition dynamics and structural relaxation of PLLA studied by DSC: Influence of crystallinity. Polymer 2005, 46, 8258–8265. [Google Scholar] [CrossRef]
  43. Bier, J.M.; Verbeek, C.J.R.; Lay, M.C. Thermal Transitions and Structural Relaxations in Protein-Based Thermoplastics. Macromol. Mater. Eng. 2014, 299, 524–539. [Google Scholar] [CrossRef]
  44. Rault, J. Origin of the Vogel–Fulcher–Tammann law in glass-forming materials: The α–β bifurcation. J. Non-Cryst. Solids 2000, 271, 177–217. [Google Scholar] [CrossRef]
  45. Wang, H.; Zhang, L.; Peh, K.W.E.; Yu, Q.; Lu, Y.; Hua, W.; Men, Y. Effect of Phase Separation and Crystallization on Enthalpy Relaxation in Thermoplastic Polyurethane. Macromolecules 2022, 55, 8566–8576. [Google Scholar] [CrossRef]
  46. Monnier, X.; Delpouve, N.; Saiter-Fourcin, A. Distinct dynamics of structural relaxation in the amorphous phase of poly(l-lactic acid) revealed by quiescent crystallization. Soft Matter 2020, 16, 3224–3233. [Google Scholar] [CrossRef]
  47. Svoboda, R.; Machotová, J.; Krbal, M.; Jezbera, D.; Nalezinková, M.; Loskot, J.; Bezrouk, A. Complex thermokinetic characterization of polydioxanone for medical applications: Conditions for material processing. Polymer 2023, 277, 125978. [Google Scholar] [CrossRef]
  48. Svoboda, R.; Honcová, P.; Málek, J. Apparent activation energy of structural relaxation for Se70Te30 glass. J. Non-Cryst. Solids 2010, 356, 165–168. [Google Scholar] [CrossRef]
  49. Ağagündüz, D.; Çelik, M.; Dazıroğlu, M.; Capasso, R. Emergent drug and nutrition interactions in covid-19: A comprehensive narrative review. Nutrients 2021, 13, 1550. [Google Scholar] [CrossRef]
  50. Baraldi, C.; Pellesi, L.; Guerzoni, S.; Cainazzo, M.; Pini, L. Therapeutical approaches to paroxysmal hemicrania, hemicrania continua and short lasting unilateral neuralgiform headache attacks: A critical appraisal. J. Headache Pain 2017, 18, 71. [Google Scholar] [CrossRef] [PubMed]
  51. Seyberth, H.; Schlingmann, K. Bartter- and gitelman-like syndromes: Salt-losing tubulopathies with loop or dct defects. Pediatr. Nephrol. 2011, 26, 1789–1802. [Google Scholar] [CrossRef]
  52. Duncan, C.; White, A. Copper complexes as therapeutic agents. Metallomics 2012, 4, 127–138. [Google Scholar] [CrossRef]
  53. Hasebe, M.; Musumeci, D.; Powell, C.; Cai, T.; Gunn, E.; Zhu, L.; Yu, L. Fast surface crystal growth on molecular glasses and its termination by the onset of fluidity. J. Phys. Chem. B 2014, 118, 7638–7646. [Google Scholar] [CrossRef] [PubMed]
  54. Musumeci, D.; Hasebe, M.; Yu, L. Crystallization of organic glasses: How does liquid flow damage surface crystal growth? Cryst. Growth Des. 2016, 16, 2931–2936. [Google Scholar] [CrossRef]
  55. Wu, T.; Sun, Y.; Li, N.; Villiers, M.; Yu, L. Inhibiting surface crystallization of amorphous indomethacin by nanocoating. Langmuir 2007, 23, 5148–5153. [Google Scholar] [CrossRef] [PubMed]
  56. Svoboda, R. Utilization of “q+/q = const.” DSC cycles for enthalpy relaxation studies. Eur. Polym. J. 2014, 59, 180–188. [Google Scholar] [CrossRef]
  57. Svoboda, R. Utilization of constant heating rate DSC cycles for enthalpy relaxation studies and their influenceability by error data-distortive operations. J. Non-Cryst. Sol. 2015, 408, 115–122. [Google Scholar] [CrossRef]
  58. Wu, T.; Yu, L. Origin of Enhanced Crystal Growth Kinetics near Tg Probed with Indomethacin Polymorphs. J. Phys. Chem. B 2006, 110, 15694–15699. [Google Scholar] [CrossRef]
  59. Zhang, W.; Brian, C.W.; Yu, L. Fast Surface Diffusion of Amorphous o-Terphenyl and Its Competition with Viscous Flow in Surface Evolution. J. Phys. Chem. B 2015, 119, 5071–5078. [Google Scholar] [CrossRef]
  60. Svoboda, R.; Brandová, D. Crystal growth from mechanically induced defects: A phenomenon observed for glassy materials. J. Therm. Anal. Calorim. 2017, 127, 799–808. [Google Scholar] [CrossRef]
  61. Kong, N.; Kirichenko, T.; Hwang, G.; Banerjee, S. Interstitial-based boron diffusion dynamics in amorphous silicon. Appl. Phys. Lett. 2008, 93, 082109. [Google Scholar] [CrossRef]
  62. Toninelli, C.; Wyart, M.; Biroli, G.; Bouchaud, J. Dynamical susceptibility of glass formers: Contrasting the predictions of theoretical scenarios. Phys. Rev. E 2005, 71, 041505. [Google Scholar] [CrossRef]
  63. Cipelletti, L.; Ramos, L. Slow dynamics in glassy soft matter. J. Phys. Condens. Matter 2005, 17, 253–285. [Google Scholar] [CrossRef]
  64. Mattsson, J.; Wyss, H.M.; Fernández-Nieves, A.; Miyazaki, K.; Hu, Z.; Reichman, D.R.; Weitz, D.A. Soft colloids make strong glasses. Nature 2009, 462, 83–86. [Google Scholar] [CrossRef]
  65. Svoboda, R.; Koutná, N.; Košťálová, D.; Krbal, M.; Komersová, A. Indomethacin: Effect of diffusionless crystal growth on thermal stability during long-term storage. Molecules 2023, 28, 1568. [Google Scholar] [CrossRef] [PubMed]
  66. Surwase, S.A.; Boetker, J.; Saville, D.; Boyd, B.; Gordon, K.; Peltonen, L.; Strachan, C.J. Indomethacin: New Polymorphs of an Old Drug. Mol. Pharm. 2013, 10, 4472–4480. [Google Scholar] [CrossRef] [PubMed]
  67. Ueda, H.; Ida, Y.; Kadota, K.; Tozuka, Y. Raman mapping for kinetic analysis of crystallization of amorphous drug based on distributional images. Int. J. Pharm. 2013, 462, 115–122. [Google Scholar] [CrossRef]
  68. Shu, H.-C.; Gaur, U.; Wunderlich, B. Heat capacity and chemical equilibria of liquid selenium. J. Polym. Sci. Polym. Phys. Ed. 1980, 18, 449–456. [Google Scholar] [CrossRef]
  69. Svoboda, R.; Málek, J. Description of macroscopic relaxation dynamics in glasses. J. Non-Cryst. Solids 2013, 378, 186–195. [Google Scholar] [CrossRef]
  70. Svoboda, R. Novel equation to determine activation energy of enthalpy relaxation. J. Therm. Anal. Calorim. 2015, 121, 895–899. [Google Scholar] [CrossRef]
  71. Hodge, I.M.; Berens, A.R. Effects of annealing and prior history on enthalpy relaxation in glassy polymers. 2. Mathematical modeling. Macromolecules 1982, 15, 762–770. [Google Scholar] [CrossRef]
  72. Svoboda, R.; Málek, J. Enthalpy relaxation in Ge–Se glassy system. J. Therm. Anal. 2012, 113, 831–842. [Google Scholar] [CrossRef]
Figure 1. Sets of CR (graphs A,C) and CHR cycles (graphs B,D) obtained for the IMC powders with particle sizes 50–125 µm (graphs (A,B) and 300–500 µm (graphs C,D). The exothermic effects evolve in the upward direction. In the case of CR cycles, the arrows and symbols q and q+ denote the parts of the DSC data in which the cooling and heating steps (respectively) of the CR cycles are shown. Absolute magnitudes of q and q+ being applied in the corresponding steps of the cyclic program increase in the directions of the given arrows. In the CHR measurements, q varied, and q+ was always 10 °C·min−1. The arrow and symbol q denote the parts of the DSC data that differ in accordance with applied q. In the upper part of the graph (where cooling steps are depicted), the absolute magnitude of q increases with the arrow. In the part where the heating steps are shown, the arrow denotes the increase in |q| in the preceding cooling step.
Figure 1. Sets of CR (graphs A,C) and CHR cycles (graphs B,D) obtained for the IMC powders with particle sizes 50–125 µm (graphs (A,B) and 300–500 µm (graphs C,D). The exothermic effects evolve in the upward direction. In the case of CR cycles, the arrows and symbols q and q+ denote the parts of the DSC data in which the cooling and heating steps (respectively) of the CR cycles are shown. Absolute magnitudes of q and q+ being applied in the corresponding steps of the cyclic program increase in the directions of the given arrows. In the CHR measurements, q varied, and q+ was always 10 °C·min−1. The arrow and symbol q denote the parts of the DSC data that differ in accordance with applied q. In the upper part of the graph (where cooling steps are depicted), the absolute magnitude of q increases with the arrow. In the part where the heating steps are shown, the arrow denotes the increase in |q| in the preceding cooling step.
Ijms 24 16275 g001
Figure 2. Sets of DSC curves obtained for the amorphous and partially crystallized IMC powders after their full experimental exploitation (performed CR and CHR cyclic measurements). The exothermic effects evolve in the upward direction. Temperature ranges for the most important thermo-kinetic phenomena are indicated. The zoomed-in glass transition and crystallization regions are shown in the Supplementary Materials. Graphs (A,B) show the data for the 50–125 µm and 300–500 µm powders, respectively.
Figure 2. Sets of DSC curves obtained for the amorphous and partially crystallized IMC powders after their full experimental exploitation (performed CR and CHR cyclic measurements). The exothermic effects evolve in the upward direction. Temperature ranges for the most important thermo-kinetic phenomena are indicated. The zoomed-in glass transition and crystallization regions are shown in the Supplementary Materials. Graphs (A,B) show the data for the 50–125 µm and 300–500 µm powders, respectively.
Ijms 24 16275 g002
Figure 3. (A) Raman spectra for the amorphous, partially crystalline, and fully crystalline IMC powders. (B) Fully amorphous IMC grain. (C) Fragment of a broken partially crystallized IMC grain. (D) Fully crystalline IMC grains.
Figure 3. (A) Raman spectra for the amorphous, partially crystalline, and fully crystalline IMC powders. (B) Fully amorphous IMC grain. (C) Fragment of a broken partially crystallized IMC grain. (D) Fully crystalline IMC grains.
Ijms 24 16275 g003
Figure 4. DSC curves obtained within the last cycles (q = 1 °C∙min−1 & q+ = 10 °C∙min−1) of the CHR experiments performed for the amorphous and partially crystalline IMC powders. The exothermic effects evolve in the upward direction. The degree of crystallinity is indicated by χc and by the corresponding Tcs. Graphs (A,B) show the data for the 50–125 µm and 300–500 µm powders, respectively.
Figure 4. DSC curves obtained within the last cycles (q = 1 °C∙min−1 & q+ = 10 °C∙min−1) of the CHR experiments performed for the amorphous and partially crystalline IMC powders. The exothermic effects evolve in the upward direction. The degree of crystallinity is indicated by χc and by the corresponding Tcs. Graphs (A,B) show the data for the 50–125 µm and 300–500 µm powders, respectively.
Ijms 24 16275 g004
Figure 5. Values of the glass transition temperature Tg (graph A) and heat capacity difference in the glass transition range Δcp (graph B) obtained from the CHR measurements performed for the two studied IMC powders.
Figure 5. Values of the glass transition temperature Tg (graph A) and heat capacity difference in the glass transition range Δcp (graph B) obtained from the CHR measurements performed for the two studied IMC powders.
Ijms 24 16275 g005
Figure 6. (A) The evaluation of Δh* according to Equation (4) from the CR cycles measured for the amorphous and partially crystallized 50–125 µm IMC powders. (B) The evaluation of Δh* according to Equation (4) from the CR cycles measured for the amorphous and partially crystallized 300–500 µm IMC powders. (C) The Δh* values determined in accordance with Equation (4) and corrected by applying Equation (5) for the amorphous and partially crystallized IMC powders. The values are displayed in dependence on the degree of crystallinity χc.
Figure 6. (A) The evaluation of Δh* according to Equation (4) from the CR cycles measured for the amorphous and partially crystallized 50–125 µm IMC powders. (B) The evaluation of Δh* according to Equation (4) from the CR cycles measured for the amorphous and partially crystallized 300–500 µm IMC powders. (C) The Δh* values determined in accordance with Equation (4) and corrected by applying Equation (5) for the amorphous and partially crystallized IMC powders. The values are displayed in dependence on the degree of crystallinity χc.
Ijms 24 16275 g006
Figure 7. (A) Cpmax values determined from the CHR cycles measured for the amorphous and partially crystallized 50–125 µm IMC powders. (B) Cpmax values determined from the CHR cycles measured for the amorphous and partially crystallized 300–500 µm IMC powders. (C) Example comparison of the experimental Cpmax values determined from the CHR cycles measured for the amorphous 300–500 µm IMC powder (points) and of the Cpmax-log(q/q+) dependences theoretically simulated for the corresponding temperature history and Δh* and ATNM parameters (lines). The red line and the shown β and x values indicate the best correspondence of the theoretically simulated data with the experimental data. The colored version of this graph is included in the Supplementary Materials. (D) Example of the 3-dimensional hyperspace extracted from graph C for log(q/q+) = 0.
Figure 7. (A) Cpmax values determined from the CHR cycles measured for the amorphous and partially crystallized 50–125 µm IMC powders. (B) Cpmax values determined from the CHR cycles measured for the amorphous and partially crystallized 300–500 µm IMC powders. (C) Example comparison of the experimental Cpmax values determined from the CHR cycles measured for the amorphous 300–500 µm IMC powder (points) and of the Cpmax-log(q/q+) dependences theoretically simulated for the corresponding temperature history and Δh* and ATNM parameters (lines). The red line and the shown β and x values indicate the best correspondence of the theoretically simulated data with the experimental data. The colored version of this graph is included in the Supplementary Materials. (D) Example of the 3-dimensional hyperspace extracted from graph C for log(q/q+) = 0.
Ijms 24 16275 g007
Figure 8. The β (graph A) and x (graph B) values determined by means of the simulation-comparative method from the CHR cycles measured for the amorphous and partially crystallized IMC powders. The values are displayed in dependence on the degree of crystallinity χc.
Figure 8. The β (graph A) and x (graph B) values determined by means of the simulation-comparative method from the CHR cycles measured for the amorphous and partially crystallized IMC powders. The values are displayed in dependence on the degree of crystallinity χc.
Ijms 24 16275 g008
Table 1. Pre-exponential factors from the TNM model determined by curve-fitting for the amorphous and partially crystalline IMC powders.
Table 1. Pre-exponential factors from the TNM model determined by curve-fitting for the amorphous and partially crystalline IMC powders.
50–125 µm
Tc/°C:as-prepared74757677
ln(ATNM/s):113.5117.2123.2113.6120.0
300–500 µm
Tc/°C:as-prepared9799101
ln(ATNM/s):115.5124.7117.0104.2
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Svoboda, R.; Pakosta, M.; Doležel, P. How the Presence of Crystalline Phase Affects Structural Relaxation in Molecular Liquids: The Case of Amorphous Indomethacin. Int. J. Mol. Sci. 2023, 24, 16275. https://doi.org/10.3390/ijms242216275

AMA Style

Svoboda R, Pakosta M, Doležel P. How the Presence of Crystalline Phase Affects Structural Relaxation in Molecular Liquids: The Case of Amorphous Indomethacin. International Journal of Molecular Sciences. 2023; 24(22):16275. https://doi.org/10.3390/ijms242216275

Chicago/Turabian Style

Svoboda, Roman, Marek Pakosta, and Petr Doležel. 2023. "How the Presence of Crystalline Phase Affects Structural Relaxation in Molecular Liquids: The Case of Amorphous Indomethacin" International Journal of Molecular Sciences 24, no. 22: 16275. https://doi.org/10.3390/ijms242216275

APA Style

Svoboda, R., Pakosta, M., & Doležel, P. (2023). How the Presence of Crystalline Phase Affects Structural Relaxation in Molecular Liquids: The Case of Amorphous Indomethacin. International Journal of Molecular Sciences, 24(22), 16275. https://doi.org/10.3390/ijms242216275

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop