Abstract
The preparation of solid dispersions by mixing insoluble drugs with polymers is the main way to improve the aqueous solubility of drugs. The introduction of organic small molecule excipients into binary solid dispersions is expected to further enhance drug solubility by regulating intermolecular hydrogen bonding within the system at the microscopic level. In this study, we used carbamazepine (CBZ) as the target drug and polyvinylpyrrolidone as the solid dispersion matrix and screened the third component from 13 organic small molecules with good miscibility in the solid dispersion based on the principle of similarity of solubility parameters. The hydrogen bonding parameters and dissociation Gibbs free energy of the 13 organic small molecule-CBZ dimer were calculated by quantum mechanical simulation, and the tryptophan (Try) was identified as the optimal third component of organic small molecule. The migration of CBZ in binary and ternary systems was also analyzed by molecular dynamics simulation. On this theoretical basis, the corresponding solid dispersions were prepared, characterized, and tested for solubility analysis, which verified that the drug solubility was stronger for the system with the addition of polar fractions and the Try was indeed the best third component of organic small molecule compound, which was consistent with the simulation predictions. This screening method may provide theoretical guidance for drug modification design and clinical studies.
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Introduction
Crystalline insoluble drugs make up more than 60% of all medications being researched at the moment [1]. It has become an urgent need to figure out how to increase these drugs’ water solubility and bio-absorption so that they can be used more extensively. Researchers frequently use the addition of polymeric excipients to prepare solid dispersions to address the issue of the drugs’ low solubility [2,3,4,5]. According to previous studies, most of the solid dispersions are used to disperse the drug by adding excipient substances that introduce hydrogen bonding between the drug and excipients. The addition of excipient makes while introducing specific polar groups in the solid dispersion, thus creating drug-excipient interaction. This allows the drug molecules to be stripped from their original crystallization and dispersed in the excipient matrix, thereby enhancing their solubility and bioabsorption properties [6, 7].
As a common non-covalent intermolecular interaction force, hydrogen bonding plays an important role in solid dispersion systems [8, 9]. On the one hand, most crystalline insoluble drugs have polar groups containing electronegative atoms in their molecular structure. The presence of these groups induces the formation of hydrogen bonds between drug molecules, and drug molecules are oriented and arranged under such conditions to form long-range ordered crystal structures [10, 11]. On the other hand, the side groups or backbone structures of excipient materials also contain structures that could create intermolecular hydrogen bonds. These group structures can make hydrogen bonds with the drug molecule’s donor or acceptor, creating the network that prevents the drug molecule from crystallization [12]. Thus, the core of improving drug solubility using solid dispersion technology lies in regulating the hydrogen bonds within the system, which means increasing the ratio of hydrogen bonds between drug-excipient as much as possible and reducing or replacing the hydrogen bonds between drug-drug molecules [6, 13].
Currently, some polymeric materials are commercially available, and many of these have been selected as polymeric excipients for the preparation of solid dispersion [14,15,16]. However, the single selection of commercially available polymeric excipients sometimes has certain drawbacks from the perspective of intermolecular hydrogen bond formation. For example, polyvinylpyrrolidone (PVP), a commonly used commercially polymeric excipient, has a ketone carbonyl group attached to its molecular structure that is a typical intermolecular hydrogen bonding proton acceptor [12, 17]. This structure can be effective for drugs with a high number of proton donors to form hydrogen bonding interactions. But, for drug molecules with a high proportion of proton receptor structures, PVP could not pass through to form effective hydrogen bonds with the active site of the drug. This instead exposed the proton acceptor of the drug and induced drug crystallization. Relevant studies have been conducted to demonstrate that there is still room for improving the solubility of solid dispersions formed by some drugs with PVP [18]. Therefore, based on the principle of hydrogen bonding, modification and adjustment are needed for such binary solid dispersion systems to further enhance the solubility performance of drugs.
It has been reported that the third component of some organic small molecule excipients can form a co-crystalline or amorphous state with the drug, which can produce certain improvement in the dissolution property of the drugs [19,20,21]. For example, Wu et al. investigated that controlling the molar ratio between carvedilol and organic acids allows the drug to form a co-amorphous system with organic small molecules [22]. Based on this clue, for the internal hydrogen bonding modulation of binary solid dispersions, this can be achieved by introducing organic small molecule excipients to form ternary solid dispersions, and the addition of these excipients theoretically enriches the internal hydrogen bonding network of the system and can form a synergistic effect with polymeric excipients. Fung and Suryanarayanan also prepared solid dispersions containing succinic acid and other solid dispersions based on PVP-ketoconazole (KTZ), respectively, to finally achieve a 30 ~ 80% increase in dissolution rate [23]. By this way, there is a synergistic effect for the improvement of properties such as solubilization effect of insoluble drugs. However, many types and numbers of organic small molecule excipients may be considered as the third component candidates, including various organic acids [24], amino acids [25], and sugars [26]. For these excipients, the screening mechanism for specific drugs is still not clear, especially at the molecular level. In addition, there is a lack of quantitatively analysis of the microscopic formation and synergistic effects of ternary solid dispersion systems compared with binary solid dispersion systems [27].
With the development of computer technology, multi-scale simulations such as quantum mechanical simulations and molecular dynamics simulations can explain the internal formation mechanism and performance advantages of solid dispersions [28,29,30,31,32,33]. For example, Paroma Chakravarty et al. calculated the difference in solubility parameter (δ) between GENE-A and HPMCAS by means of molecular dynamics simulations to provide a criterion for the miscibility of solid dispersions [34]. Li Bin et al. used quantum mechanical simulations to construct a model of an associative dimer consisting of two drug molecule units of toltrazuril and patrozuril and quantitatively analyzed the intermolecular hydrogen-bonding interactions while also obtaining the binding site with the lowest energy [35]. It can be seen that the simulation method is of advantage for the analysis of micro-mechanisms such as molecular migration and diffusion, system miscibility [36], and intermolecular forces. In addition, compared with the characterization of interactions, multi-scale simulation can quantify the strength of intermolecular interactions, mainly hydrogen bonding, which can solve the shortcomings of experimental methods that make it deeply probe the binding mechanism at the molecular level.
In this study, an antiepileptic drug carbamazepine, with the molecular structure shown in Fig. 1, was selected as the model drug [37]. Among them, the amide group attached to the drug is considered as the active site for the formation of hydrogen bonds, containing both donor and acceptor. The research is proposed to obtain the solubility parameters based on molecular dynamics simulation and analyze the thermodynamic parameters of hydrogen bond dissociation based on quantum mechanical simulation (QM) method, with a view to screening out the optimal third component molecular structure. On the basis of the determining third component, molecular dynamics (MD) simulation was used to quantitatively calculate the binding energy of the system, hydrogen bonding concentration, and other microscopic parameters and to study the variation rule of drug molecules’ migration resistance in binary and ternary solid dispersions. Then, the simulation results were verified by relevant experimental characterization and performance tests to explore the theoretical mechanism of the third component incorporation.
Molecular Simulation Methodology
Both quantum mechanical (QM) and molecular dynamic (MD) simulations were used in this study as methods of simulation. The software used is Materials Studios developed by Accelrys, USA. Among them, the optimal third component screening is determined by QM and MD methods, and the solid dispersion system performance prediction and comparison is realized by MD simulation method.
Details of Quantum Mechanical Simulation
QM simulations were run and calculated through the part of Dmol3 in the software. The main parameters obtained through QM simulations include the conformation, geometric parameters, dissociation Gibbs free energy, and other thermodynamic parameters of the dimer model involving organic small molecules in association with the drug molecule. All these parameters are the key parameters to characterize the molecular interaction and can be used as an important basis for third component screening. The energy minimum conformation of the model is first obtained using the Geometry Optimizer command in the Forcite module. Based on this, computations were made using Dmol3’s part of geometric optimization. According to density generalization theory (DFT) [38], the total molecular energy is expressed as a generalization of the density function of electrons, and the ground state properties of the multi-electron system can be determined accordingly. The generalized gradient approximation (GGA) in the form of Perdew-Burke-Ernzerhof (PBE) is used to approximate the exchange–correlation potential in the KS equation. The wave function of the system is described by the TNP unit [39, 40].
The thermodynamic cycle and energy calculation of the hydrogen bond dissociation reaction can be simplified as Fig. 2. In this figure, A and B are both strongly electronegative atoms (N/O/F), while H, which is connected to A, is electron-deficient hydrogen. Therefore, AH and B are the proton donor and the proton acceptor of the intermolecular hydrogen bond, respectively [41].
Besides, according to the thermodynamic cycle diagram of hydrogen bond dissociation in Fig. 2, the Gibbs free energy of dimer dissociation at a specific temperature T can be calculated from Eq. (1) [41].
In the formulation above, G0K represents the standard Gibbs free energy of AH, B, AH…B at 0 K, and Gθ, T refers to the standard Gibbs free energy of AH, B, AH…B at T K, respectively. Both free energies, Gcor (with cor subscript) refers to the Gibbs free energy corrected value of AH, B, and AH…B calculated from 0 K to T K.
Details of Molecular Dynamic Simulation
The calculation of the solubility parameters of the organic small molecules and the comparison of the performance differences between binary and ternary composite systems were achieved by means of molecular dynamics simulations. First, under COMPASS II force field [31], periodic unit cell models of single and composite systems are executed under Forcite module with geometry optimization procedure to obtain the cell with the lowest energy. On this basis, 200 cycles of annealing process were executed at a time, with temperatures ranging from 300 to 500 K. The kinetic process was selected as a regular system synthesis (NVT) and a constant temperature and pressure system (NPT), running for 500 ps and 1000 ps, respectively. The energy of the system is monitored during the calculation, and the system is considered to be converged when the fluctuation range is less than 10% [42].
Theoretical Results and Discussion
Screening Process for Organic Small Molecule Excipients
Through relevant literature research [23, 43, 44], 13 organic small molecules were selected that usually be used as modulators of intermolecular interactions in drug-polymer systems. The molecular formulae and their IDs in this study are shown in Fig. 3.
The preliminary screening of the 13 organic small molecules to be candidate was carried out using the principle of “similar miscibility of solubility parameters” [45]. The solubility parameter is defined as the square root of the cohesive energy density (CED) of a substance and has important applications in the field of evaluating the miscibility of components of a system [46].
In solid dispersions and pharmacological studies, two components are usually considered compatible when the absolute value of the difference between their solubility parameters is less than 7 (J/cm3)1/2, and vice versa. The results of the solubility parameter values for 13 organic small molecules and their absolute values of solubility parameter differences with CBZ, respectively, are shown in Fig. 4. It can be found that the solubility parameters of 2, 8, 9, 10, 11, and 13 are less than 7 (J/cm3)1/2 from the solubility parameter of carbamazepine [34]. Therefore, these six organic small molecule additives were initially screened out for subsequent calculations.
Based on the screening of six organic small molecules, the molecular model of the lowest energy CBZ-small molecule-conjugated dimer was constructed, and these conformations and hydrogen bonding morphology are shown in Fig. 5. From the conformational information, it can be found that only a single hydrogen bond is formed between 10, 11, and CBZ, while two hydrogen bonds are formed between CBZ and 2, 8, 9, and 13 small molecules, which indicates that CBZ can act as both a donor and an acceptor in the process of forming hydrogen bonding interaction with the above molecules. The L represents the bond length of the hydrogen bond and A refers to the bond angle of the hydrogen bond in Fig. 5. For intermolecular hydrogen bonds, it is usually considered that the smaller the bond length and the larger the bond angle, the higher the strength will be [47]. It can be found that the intermolecular hydrogen bonds between the two conjoined dimer models of CBZ-10 and CBZ-11 are significantly weaker than the remaining four dimers. Therefore, four organic small molecules, 2, 8, 9, and 13 in this step, were continued to be screened on the results of the analysis of the hydrogen bond conformation for the follow-up study.
For the above four hydrogen bonded dimer of CBZ-2, CBZ-8, CBZ-9, and CBZ-13, the Gibbs free energy (△G) of the dissociation reaction was calculated separately according to Eq. (1) in the “Details of Quantum Mechanical Simulation” section. The results are shown in Fig. 6a, and the dissociation Gibbs free energies are CBZ-9, CBZ-13, CBZ-2, and CBZ-8 in descending order, and the corresponding small molecules are tryptophan, citric acid, saccharin, and phenylalanine in descending order. Therefore, it can be assumed that the intermolecular hydrogen bonding formed between the organic small molecule tryptophan (No. 9) and CBZ is the strongest among these four systems.
Besides, for the dissociation reaction equilibrium constant lnKθ was equally examined. The calculation procedure is shown in Eq. (2) [48].
where R represents the ideal gas constant, T is the reaction temperature, and c(AH), c(B), and c(AH⋅⋅⋅B) are the moles of proton acceptor, proton donor, and associative dimer concentration, respectively. The standard Gibbs free energy ΔGθ is obtained from Eq. (1).
From the calculated equations, it can be inferred that this parameter is related to the hydrogen bond concentration. When the concentrations of the donor and acceptor units composing the conjugated dimer are constant, the lower the value of lnKθ, the higher the molar concentration of the constituent hydrogen bonds. It can be inferred from Fig. 6b that the hydrogen bond concentration in the four systems composed of CBZ is tryptophan > saccharin > citric acid > phenylalanine from the highest to the lowest. Therefore, the No. 9 organic small molecule, also known as tryptophan, was once more confirmed as a suitable third component to be added to the CBZ solid dispersion.
Performance Prediction and Analysis of Designed Excipient
As shown in Fig. 7, the binary complex system model of CBZ/PVP and the ternary complex model of CBZ/PVP/Try were constructed on the basis of determining the selection of tryptophan (Try) as the third small molecule component as the research object. In the systems above, the molecular chains of PVP contained 50 repeating units. Among them, the mass ratio of CBZ to polymer was 1:9 according to the ratios of solid dispersions prepared by previous researchers [23], while the third small molecule components were kept in equimolar ratio with CBZ. Therefore, the number of molecules of CBZ, PVP, and Try in the periodic repetitive cell model is set as 10, 4, and 10, respectively.
Dispersibility of CBZ Molecules
The degree of dispersion of drug molecules in the matrix has an important influence on the property transformation of solid dispersions. Firstly, the migration resistance of small molecules in the system was investigated using the mean square displacement MSD, which represents the mean value of the squared displacement of the object of study at a specific time, and is an important indicator of molecular migration and diffusion. MSD is calculated as shown in Eq. (3) [46].
In Eq. (3), N represents the number of particles counted, and ri(0) and ri(t) denote the position coordinates of particles at moment 0 and moment t, respectively.
The variation of MSD of CBZ drug molecules in both systems is shown in Fig. 8a. It can be demonstrated that the MSD of CBZ molecules is lower in the ternary system containing organic small molecule Try, which means that the CBZ molecules in the CBZ/PVP/Try ternary system are more resistant to migration than the CBZ molecules in CBZ/PVP binary system.
To further quantify the migration and diffusion of drug molecules, the diffusion coefficient (D) of CBZ molecules was extracted from the MSD results. The diffusion coefficient (D) of a molecule is calculated by the Einstein equation, as shown in Eq. 4 [46].
The differential part of Eq. (4) can be approximated as the derivative of MSD to time t, that is, the slope value of the MSD curve. The diffusion coefficient results were quantified as in Fig. 7b. In the CBZ/PVP/Try ternary system (red), the D value of CBZ was reduced by 78% compared to the binary system (blue), which further indicates that the addition of organic small molecule Try can inhibit the migration and diffusion of CBZ molecules in the spatial range.
At the same time, the binding energy (Ebinding) is used to examine the binding effect of CBZ components with carrier components and indirectly reflects the degree of dispersion of CBZ and the inhibition of drug crystallization by excipients. The calculation procedure of Ebingding is shown in Eq. (5) [28].
In Eq. (5), Etotal indicates the total energy of the system, ECBZ is the total energy of carbamazepine, and Ecarrier indicates the total energy of the remaining excipients in the system, except CBZ.
The results are shown in Fig. 9. It can be found that the binding energy of CBZ and excipients in the ternary system with the addition of Try increased by 18.8% compared with the binary system. On the one hand, the binding effect of CBZ with the excipients in the system with the addition of the third component is stronger than that in the binary system. On the other hand, it can be speculated that CBZ will present better dispersion in the ternary system.
Intermolecular Interaction Discussion
Based on the characteristics of the CBZ molecule and the accompanying polar groups, the potential proton donors and proton acceptors within the molecule were identified and labeled as shown in Fig. 10a. The proton donor grouping of Type A hydrogen bonds is the amino hydrogen within the carbamazepine molecule, and the proton acceptor grouping includes all the N and O electronegative atoms in the PVP and Try molecules. Similarly, Type B hydrogen bonds have the O atoms in the carbamazepine molecule as the proton acceptor grouping, and the proton donor grouping is all the electron-deficient hydrogens in the Try molecule that are bonded to electronegative atoms. The radial distribution function (RDF, G(r)) is defined as the probability distribution of finding an atom at a distance r from another atom and can be used to monitor the type of hydrogen bonding within the system [49]. When r is monitored in the range of 2–2.5 Å for significant peak patterns, it can be assumed that some type of intermolecular hydrogen bonding is present in the system, which is beneficial for the improved dispersion [45].
Based on the results in Fig. 10b as well as Fig. 10c, it is known that only type A hydrogen bonding exists in the CBZ/PVP binary system, i.e., CBZ can only act as a proton donor in this system. In contrast, in the CBZ/PVP/Try ternary system, both type A and type B hydrogen bonds are present, which indicates that the addition of Try plays a strong role in regulating the nets of intermolecular hydrogen bonds in the system.
For the type A and type B hydrogen bonds involved in both systems, the molar concentrations of hydrogen bonds (CHBs) were used to quantify their contents [50]. The calculation procedure for this parameter is shown in Eq. 6.
In Eq. (6), NHBs is the statistical number of hydrogen bonds, V is the volume of the unit cell, and NA is Avogadro’s constant. The concentrations of type A and type B hydrogen bonds in both systems were quantitatively accounted for, as shown in Fig. 11. From the results, it can be seen that the intermolecular hydrogen bonding in the ternary CBZ/PVP/Try system not only has more B-type hydrogen bonding than that in the CBZ/PVP system, but also has a relatively higher overall intermolecular hydrogen bonding concentration. This suggests that the hydrogen bonding between the CBZ and the excipient inside the ternary system is also stronger.
The mechanisms of solid dispersion formation for the two systems inferred from the results of the simulations are illustrated in Fig. 12. In the CBZ/PVP system, CBZ binds to the PVP molecular chain with the help of type A hydrogen bonding as a proton donor for hydrogen bond formation and PVP as a proton acceptor. The polymer, however, is unable to bind to the ketone carbonyl group of carbamazepine due to the lack of sites that act as proton donors, which induces the formation of more drug-drug hydrogen bonds. Meanwhile, in the CBZ/PVP/Try ternary system, the addition of organic small molecule Try not only elevates the concentration of type A hydrogen bonds in the system but also introduces type B hydrogen bonds to bind with CBZ, which plays a role in inhibiting migration and destroying crystallization. Besides, these effects above are expected to improve the dispersion state and enhance the dissolution performance of solid dispersions.
Materials and Methods
Materials
Carbamazepine (CBZ) was obtained from Jiuding Chemical Co., Ltd., Shanghai, China. Polyvinylpyrrolidone (PVP) was purchased from Solarbio Co., Ltd., Beijing, China, and the number average molecular weight of PVP is 2.0 × 104. L-tryptophan (Try) was achieved from Macklin Co., Ltd., Beijing, China. The anhydrous ethanol and deionized water involved in the preparation process are industrial grade solvents. The above-mentioned raw materials are directly put to use without further research.
Preparation of Two Solid Dispersions
The solid dispersion samples for this study were prepared by the solvent-lyophilization method. For the binary solid dispersions and the simulation mixing ratio (The mass ratio of CBZ to PVP is 1:9), 2.70 g of PVP powder, 0.30 g of CBZ powder were firstly weighed, and 150 ml of anhydrous ethanol was added, and the mixture was magnetically stirred for 1 h to dissolve fully. On this basis, the CBZ/PVP-ethanol solution was rotary evaporated at 35°C until a large amount of organic solvent was removed to obtain the CBZ/PVP concentrated product. The concentrated product was transferred to a freeze dryer for 24 h and then ball milled and passed through 80 mesh sieve to finally obtain a binary solid dispersion powder of CBZ/PVP. This obtained solid dispersion sample was labeled as CBZ/PVP-SD.
For the ternary solid dispersion, an additional 0.26 g of Try was added at the time of weighing to maintain an equimolar amount with CBZ, and about 15 ml of deionized water was added during the dissolution process to ensure the full dissolution of Try. Other than that, the rest of the operation was consistent with the preparation of binary solid dispersions. The solid dispersion obtained from the final product was labeled as CBZ/PVP/Try-SD.
Measurements and Characterization
X-Ray Diffractometry (XRD)
The X-ray diffractometer (XRD-600, Shimadzu, Japan) was used to qualitatively detect the crystallinity of the samples. XRD tests were performed on an XRD-600 diffractometer with a Cu Kα radiation source. The 2θ range of the test is from 5 to 60°.
Differential Scanning Calorimetry (DSC)
Differential scanning calorimetry (Mettler DSC3, Mettler, Switzerland) is applied to characterize the thermal behavior of a sample such as melting, crystallization, and glass transition. The temperature of the test is monitored starting from 0°C, with a temperature rise of 10°C per minute and a monitoring end point of 220°C. The gas atmosphere is nitrogen. The flow rate of nitrogen for DSC was in the range of 250–300 mL/min.
Scanning Electron Microscope (SEM)
Scanning electron microscope was used to monitor the surface morphology of the samples. CBZ drug and solid dispersion samples were monitored by scanning electron microscope (SU8010, Hitachi, Japan). Samples were pretreated by applying on conductive adhesive and sprayed with gold.
Fourier Infrared Spectroscopy (FT-IR)
FT-IR spectroscopy (Vertex 70v, Bruker, Germany) is utilized to monitor changes in sample moieties and intermolecular interactions. As both drug and solid dispersions were powdered samples, the spectroscopy was performed using the potassium bromide compression method for the wavenumber range of 4000–400 cm−1. This infrared spectrometer has a resolution of 4 cm−1.
Dissolution Tests
UV–Vis Spectrophotometry
The test of UV–Vis absorption is designed to determine the wavelength of maximum absorption of carbamazepine in solution. Five CBZ-ethanol solution samples were configure according to a certain concentration gradient, and the UV–Vis spectrophotometric curves were measured in the wavelength range of 400–200 nm using a UV spectrophotometer (UV-2600, Shimadzu, Japan). The highest absorbance in this range was monitored, and the standard solubility curves were plotted sequentially.
Dissolution Test
The dissolution test reflects the change in concentration of drug released from solid dispersions with time and is an important indicator of sample solubility. Dissolution testing is done by an automatic dissolution meter (FOCS, China). The dissolution medium was a hydrochloric acid solution with pH = 1.2 simulating the gastric fluid environment, the dissolution temperature was set at 37.0 ± 0.5 ℃, the dissolution method was paddle method, and the stirring speed was 100 rpm. A mass of 20 mg of pure drug CBZ and two solid dispersion samples containing 20 mg active ingredient of CBZ were weighed and immersed in the dissolution medium. Samples were taken at 5 min, 10 min, 15 min, 30 min, 60 min, 90 min, 120 min, and 180 min to identify the UV–Vis absorbance and then to determine the CBZ content in the medium.
Experimental Results and Analysis
Results and Analysis of XRD
The diffraction patterns of CBZ with its solid dispersion are shown in Fig. 13. Among them, the diffraction spectrum of pure CBZ has dense crystalline diffraction peaks in the range of 2θ for 0–60°, which can be inferred that CBZ is a crystalline sample. On the contrary the samples of CBZ/PVP-SD and CBZ/PVP/Try-SD show amorphous diffraction peaks in this range. It can be concluded that the solid dispersions modified with the addition of excipients are more dispersed with the drug relative to the original CBZ, having the crystalline state transformed to the amorphous state.
Results and Analysis of DSC
The DSC curves of the samples are shown in Fig. 14. Among them, the CBZ crystals contain two forms, which are type I and type III [51]. It corresponds to two sharp melt heat absorption peaks at the temperatures 174.9°C and 192.7°C, respectively. And the DSC spectra of both solid dispersion samples disappeared the characteristic melting peaks at these two temperatures. Besides, the glass transition temperatures (Tg) of CBZ/PVP-SD and CBZ/PVP/Try-SD were 133.9°C and 132.0°C, respectively. On the one hand, the Tg obtained for CBZ and L-Try were 42°C (the temperature in this literature is in Kelvin, 315 K) and 141°C [52, 53], respectively. In contrast, the Tg of CBZ/PVP-SD and CBZ/PVP/Try-SD measured in this study were 133.9°C and 132.0°C, respectively, which were significantly higher than that of CBZ. It suggests that the physical stability of the solid dispersion is higher than that of the pure drug sample. On the other hand, according to the rule of thumb that amorphous solid dispersions should be stored below the temperature of “Tg-50°C” [51], it means both prepared solid dispersions can be stored for a long time under conventional conditions.
Surface Structure Observation
For the surface morphology of CBZ and the corresponding binary and ternary solid dispersions, observations were made using the scanning electron microscopy method, and the results are shown in Fig. 15. It can be seen that many of the scanning electron microscopy images of the CBZ powder particles are angular particles with a characteristic and significant crystalline structure. On the contrary, CBZ/PVP-SD and CBZ/PVP/Try-SD showed irregular and smooth particles in the microscopic morphology, as the surface morphology in the amorphous state.
Results and Analysis of FT-IR
The FT-IR spectra of CBZ, PVP, Try, and two solid dispersions are shown in Fig. 16. For CBZ, its N–H stretching characteristic peak of primary amine was present at the wavenumber of 3462 cm−1. The stretching vibrational peak of C = O was present at 1678 cm−1 as well as the deformation characteristic peak of N–H at 1602 cm−1. And the carbonyl stretching vibration peak on the molecular chain is present at 1715 cm−1 for PVP. According to the characteristics of CBZ/PVP-SD and CBZ/PVP/Try-SD spectra, the C = O characteristic peak position of PVP was significantly blue-shifted, which indicated that the carbonyl group of PVP was involved in the formation of intermolecular hydrogen bonds with CBZ and acted as a proton acceptor. Meanwhile, the N–H stretching vibration peak of CBZ disappeared in both solid dispersions, which is also an evidence that the amino group of CBZ is involved in the formation of intermolecular hydrogen bonds and acts as a proton donor. This evidence demonstrates the formation of Type A hydrogen bonds between CBZ and PVP in the solid dispersion as discussed in the molecular simulation above.
In addition, the amino stretching vibration peak of Try (3407 cm−1) and the hydroxyl absorption band carried by the carboxyl group (gray rectangular area in the figure) disappeared in the ternary solid dispersions, which can indicate that Try is also involved in the formation of intermolecular hydrogen bonds in the solid dispersions and can be used as a proton donor. In addition, the absorption bands of the solid dispersion (yellow rectangular region in Fig. 16 are two distinctly separated peaks for both CBZ and Try samples at the same wavenumber range. The formation of the absorption bands also indicates the existence of intermolecular interactions between CBZ and Try. This corresponds to the tendency to form Type A to Type B hydrogen bonds between CBZ and Try as discussed above in the molecular dynamic discussion.
UV–Vis Absorption Spectrum and Standard Curve of CBZ
In this part, the UV–Vis absorption spectra of five CBZ-ethanol solution samples with equal concentration gradients are shown in Fig. 17a. From the results, it can be obtained that the CBZ sample standard solution has the maximum absorption peak at the wavelength of 290 nm. And there is a standard linear relationship between absorbance and concentration in the concentration range of 2.8–25.2 μg/ml, as shown in Fig. 17b, with the fitted standard equation r2 = 0.9998. This indicates that the subsequent dissolution assay of solid dispersions can be performed at this wavelength for absorbance determination and quantification of CBZ concentration.
Dissolution Test
According to the dissolution test described in the “Dissolution Test” section, the dissolution curves of CBZ, CBZ/PVP-SD, and CBZ/PVP/Try-SD can be obtained, and the dissolution curves are shown in Fig. 18. In Fig. 18, the [CBZ] refers to the cumulative concentration of CBZ. From the results, the dissolution plateaus of the three-part samples in the range of 0–180 min were in the order of CBZ/PVP/Try-SD > CBZ/PVP-SD > CBZ. On the one hand, the pure drug release rate was slow and did not reach 50% within 40 min, which is the defective for oral drug delivery. On the other hand, the dissolution plateau of CBZ/PVP/Try-SD was about 21% higher than that of CBZ/PVP-SD. The dissolution performance of ternary solid dispersions containing Try solid dispersion was also higher than that of solid binary dispersions, which revealed the performance advantage of the addition of the third component of organic small molecule excipient. This is consistent with the predictions of simulation parameters such as mean square displacement (MSD), binding interaction energy (Ebinding), and hydrogen bonding concentrations (CHBs).
Conclusion
In this study, the third component regulating CBZ/PVP solid dispersions was identified by multi-scale simulations based on miscibility and intermolecular hydrogen bonding. At the same time, the microscopic formation mechanism of the CBZ/PVP/Try ternary solid dispersion was quantified, and the corresponding solid dispersions were prepared to confirm the conjecture. The main contributions are as follows:
-
(1)
Based on the miscibility criteria and hydrogen bond strength analysis, from 13 organic small molecule candidate compounds, excellent amino acid (Try) was selected according to solubility parameters (δ), conjugated dimer conformation, hydrogen bond dissociation Gibbs free energy (∆G), and dissociation equilibrium constant (lnKθ).
-
(2)
The binary system of CBZ/PVP was compared with the ternary system of CBZ/PVP/Try by means of molecular dynamics simulations. Analyzing the parameters of mean square displacement (MSD), diffusion coefficient (D), binding energy (Ebinding), and concentration of hydrogen bonds (CHBs), it was found that the drug mobility resistance, interactions, and hydrogen bonding content of the ternary system of CBZ/PVP/Try were higher than that of the binary system of CBZ/PVP. This analysis theoretically explains the mechanism of the solubility enhancement compared with the ternary system.
-
(3)
The corresponding binary and ternary solid dispersions were prepared. The DSC, XRD, and SEM experimental results confirmed that the two solid dispersions achieved amorphous transformation compared to CBZ. FT-IR results showed that Try was involved in hydrogen bond formation in the solid dispersion. The solubility experimental results of drug release proved that the cumulative solubility of the ternary solid dispersion CBZ/PVP/Try-SD was about 21% higher than that of CBZ/PVP-SD.
In sum, this study may provide a new way for the design of drug modification and solid dispersion system, which has some theoretical guidance.
Data Availability
The data that support the findings of this study are available from the corresponding author, upon reasonable request.
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Funding
The authors gratefully acknowledge financial support from the original exploration project funded by National Science Foundation of China (Grant No. 52250357) and Fundamental Research Funds for the Central Universities (Grant No. 3332022038).
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SZ: investigation, methodology, data curation, formal analysis, and writing—original draft.
HW: investigation and software.
XZ: supervision, methodology, and investigation.
HX: supervision, methodology conceptualization, and writing—review and editing.
SW: conceptualization, methodology, validation, and writing—review and editing.
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Zhang, S., Wang, H., Zhao, X. et al. Screening of Organic Small Molecule Excipients on Ternary Solid Dispersions Based on Miscibility and Hydrogen Bonding Analysis: Experiments and Molecular Simulation. AAPS PharmSciTech 25, 21 (2024). https://doi.org/10.1208/s12249-024-02737-6
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DOI: https://doi.org/10.1208/s12249-024-02737-6