Abstract
The solubility and solution thermodynamics of isotretinoin (ITN) (3) in numerous {dimethyl sulfoxide (DMSO) (1) + water (H2O) (2)} combinations were studied at 298.2–318.2 K under fixed atmospheric pressure of 101.1 kPa. A shake flask methodology was used to determine ITN solubility, and correlations were made using the “van’t Hoff, Apelblat, Buchowski-Ksiazczak λh, Yalkowsky-Roseman, Jouyban-Acree, and Jouyban-Acree-van’t Hoff models”. In mixtures of {(DMSO (1) + H2O (2)}, the solubility of ITN in mole fractions was enhanced with the temperature and DMSO mass fraction. The mole fraction solubility of ITN was highest in neat DMSO (1.02 × 10−1 at 318.2 K) and lowest in pure H2O (3.14 × 10−7 at 298.2 K). The output of computational models revealed good relationships between the solubility data from the experiments. The dissolution of ITN was “endothermic and entropy-driven” in all of the {(DMSO (1) + H2O (2)} mixtures examined, according to the positive values of measured thermodynamic parameters. Enthalpy was discovered to be the driving force behind ITN solvation in {(DMSO (1) + H2O (2)} combinations. ITN-DMSO displayed the highest molecular interactions when compared to ITN-H2O. The outcomes of this study suggest that DMSO has a great potential for solubilizing ITN in H2O.
Keywords: computational models, isotretinoin, molecular interactions, {DMSO (1) + water (2)} mixtures, solubility, thermodynamic analysis
1. Introduction
The drug isotretinoin (ITN) is an isomer of retinoic acid, also referred to as 13-cis-retenoic acid, that has a cis structure [1,2]. Its molecular structure/formula is shown in Figure 1A [3]. ITN was shown to be suitable for the treatment of several malignancies because it plays a significant part in regulating gene expression [4,5]. Additionally, it was discovered to be effective in the treatment of several skin conditions, including psoriasis, skin cancer, and acne [6,7,8,9,10]. It is touted as the most effective treatment for acne [10,11]. A practical approach for the oral administration of ITN in pediatric neuroblastoma patients was recently reported [12] because the patients were unable to swallow marketed tablets or capsules. Due to its poor solubility in water and high lipophilicity, ITN presents challenges in the development of formulations and drug delivery systems especially in terms of liquid dosage forms [13,14]. These challenges in formulation development and drug delivery systems are a poor dissolution rate, poor oral absorption, and poor bioavailability after oral administration [14].
Figure 1.
Molecular structures/formulae of (A) isotretinoin (ITN) and (B) dimethyl sulfoxide (DMSO).
Over many years, the pharmaceutical industry has recognized the value of solubility expertise [15,16]. By enabling chemists/scientists to make useful decisions, the solubility data of drugs, particularly in the area of drug development and research, provides useful information to enhance the quality of drug candidates and enhance the success rate clinically [17]. Additionally, the estimation of in vivo pharmacokinetics using solubility data enhances dose prediction [18,19]. The cosolvency technique, one of many that have been researched to enhance the solubility of medications [20,21,22,23], has been widely used in pharmaceutical science and practice [19]. In order to increase the solubility of ITN in this work, the cosolvency technique was applied with dimethyl sulfoxide (DMSO) [Figure 1B], as a cosolvent. The enhancement in ITN solubility using DMSO could resolve several issues of ITN, such as poor aqueous solubility, a poor dissolution rate, poor oral absorption, and poor bioavailability problems. Pharmaceutical drug solubility data are an important physicochemical attribute for a number of industrial processes, including manufacturing, formulation development, and other uses [24,25,26]. The solubilization of ITN in solutions of water (H2O) and a cosolvent has not been well reported. To change the physicochemical and basic properties of ITN, a variety of lipid-based formulations, including microemulsions, microemulsion gels, and self-nanoemulsifying formulations, was investigated [27,28,29,30,31,32]. The solubility of ITN in a few environmentally friendly solvents, such as propylene glycol (PG), polyethylene glycol-400 (PEG-400), and carbitol, has been documented at room temperature [28,31]. At temperatures ranging from 298.2 to 318.2 K and an atmospheric pressure of 101.1 kPa, we previously reported the solubility and thermodynamic data of ITN in 11 distinct green solvents, namely H2O, methanol, ethanol, 1-butanol, 2-butanol, ethylene glycol, PG, PEG-400, ethyl acetate, carbitol, and DMSO [33].
The stock solution of DMSO has been utilized as a de facto standard for the storage of numerous substances and the distribution of various assays, including solubility assessment [34]. In addition, DMSO is one of the most commonly used cosolvents for solubility enhancement due to its complete miscibility with H2O and low chemical reactivity [34,35]. The main limitation of using DMSO is that it affects enzyme activity and cell growth [36]. DMSO is known to influence the protein–ligand binding via solvent viscosity effects and hence it could influence the drug kinetics of the in vivo’s drug disposition [35,37]. It has been reported to reduce ligand–protein binding, which could result in an improved kinetics profile of the drug disposition [35]. The solubility of several weakly soluble pharmaceutical compounds, including raloxifene hydrochloride, sinapic acid, pyridazinone derivatves, baricitinib, meloxicam, and clozapine, has been enhanced using DMSO as a potential solubilizer/cosolvent [26,38,39,40,41,42]. There is no information in the literature regarding the solubility data and thermodynamic parameters of ITN (3) in numerous {DMSO (1) + H2O (2)} mixtures at different temperatures (298.2–318.2 K) under constant atmospheric pressure (101.1 kPa). Therefore, this investigation was conducted to determine the solubility and thermodynamic parameters of ITN (3) in numerous {DMSO (1) + H2O (2)} mixes, including pure DMSO and H2O, at 298.2–318.2 K under atmospheric pressure. The information acquired during the data collection phase of the study may be helpful for the development of dosage forms, pre-formulation studies, and purification of the studied drug.
2. Results and Discussion
2.1. Solid-State Characterization and Experimental Solubility Data of ITN
The solid-phase characterization of ITN before solubility determination (pure ITN) and after solubility determination (equilibrated ITN) was carried out to investigate the possibility of ITN evolving into polymorphs or solvates/hydrates. The findings of this characterization on pure and equilibrated ITN using differential scanning calorimetry (DSC), powder X-ray diffraction (PXRD), and Fourier transforms infrared spectroscopy (FTIR) investigations are presented in our most recent work [33]. The FTIR, DSC, and PXRD spectra of both samples of ITN were said to be similar and to exhibit similar peak characteristics in our most recent paper [33]. Furthermore, the equilibrated ITN sample did not exhibit any additional FTIR, DSC, or PXRD peaks. According to these results, ITN did not transform into polymorphs or solvates/hydrates. The experimental solubility values of ITN (3) in numerous {DMSO (1) + H2O (2)} mixtures at five distinct temperatures and constant pressure are mentioned in Table 1.
Table 1.
Experimental (xe) and ideal solubility (xidl) data of ITN (3) in binary {DMSO (1) + H2O (2)} mixes at 298.2–318.2 K and 101.1 kPa a (values in parentheses are standard deviations).
| m a | xe b | ||||
|---|---|---|---|---|---|
| T = 298.2 K | T = 303.2 K | T = 308.2 K | T = 313.2 K | T = 318.2 K | |
| 0.0 | 3.10 (0.07) × 10−7 | 4.60 (0.15) × 10−7 | 7.50 (0.18) × 10−7 | 1.10 (0.02) × 10−6 | 1.50 (0.03) × 10−6 |
| 0.1 | 1.12 (0.02) × 10−6 | 1.59 (0.03) × 10−6 | 2.45 (0.05) × 10−6 | 3.47 (0.06) × 10−6 | 4.61 (0.11) × 10−6 |
| 0.2 | 3.83 (0.08) × 10−6 | 5.28 (0.17) × 10−6 | 7.87 (0.21) × 10−6 | 1.10 (0.01) × 10−5 | 1.42 (0.02) × 10−5 |
| 0.3 | 1.36 (0.01) × 10−5 | 1.82 (0.03) × 10−5 | 2.57 (0.04) × 10−5 | 3.43 (0.06) × 10−5 | 4.29 (0.07) × 10−5 |
| 0.4 | 4.68 (0.07) × 10−5 | 6.06 (0.08) × 10−5 | 8.23 (0.10) × 10−5 | 1.08 (0.01) × 10−4 | 1.32 (0.02) × 10−4 |
| 0.5 | 1.65 (0.04) × 10−4 | 2.05 (0.05) × 10−4 | 2.69 (0.06) × 10−4 | 3.31 (0.07) × 10−4 | 3.96 (0.08) × 10−4 |
| 0.6 | 5.70 (0.10) × 10−4 | 6.88 (0.12) × 10−4 | 8.57 (0.17) × 10−4 | 1.08 (0.01) × 10−3 | 1.22 (0.02) × 10−3 |
| 0.7 | 2.02 (0.03) × 10−3 | 2.33 (0.05) × 10−3 | 2.79 (0.06) × 10−3 | 3.24 (0.07) × 10−3 | 3.66 (0.08) × 10−3 |
| 0.8 | 6.97 (0.10) × 10−3 | 7.81 (0.12) × 10−3 | 8.96 (0.20) × 10−3 | 1.02 (0.01) × 10−2 | 1.15 (0.01) × 10−2 |
| 0.9 | 2.44 (0.02) × 10−2 | 2.66 (0.03) × 10−2 | 2.86 (0.03) × 10−2 | 3.19 (0.04) × 10−2 | 3.39 (0.05) × 10−2 |
| 1.0 | 8.47 (0.10) × 10−2 | 8.88 (0.11) × 10−2 | 9.31 (0.12) × 10−2 | 9.80 (0.13) × 10−2 | 1.02 (0.01) × 10−1 |
| x idl | 4.28 (0.03) × 10−2 | 4.43 (0.04) × 10−2 | 4.58 (0.05) × 10−2 | 4.73 (0.06) × 10−2 | 4.88 (0.07) × 10−2 |
a The uncertainties u are u(T) = 0.18 K, u(m) = 0.0007, and u(p) = 2 kPa. b The relative uncertainty ur in solubility is ur(xe) = 0.04.
ITN solubility (3) in numerous {DMSO (1) + H2O (2)} mixes has not been documented. At 298.2–318.2 K, ITN mole fraction solubility data in pure DMSO and H2O have been recorded [33]. Figure 2 compares graphically the experimental and literature solubility data of ITN in pure H2O and DMSO at 298.2–318.2 K. According to the findings shown in Figure 2, there was a strong correlation between the experimental solubility data of ITN in pure H2O and DMSO and those mentioned in the literature [33]. These findings showed that ITN’s experimental solubility statistics agreed well with previously published research [33]. In general, it was found that neat DMSO and neat H2O had the highest and lowest mole fraction solubilities of ITN, respectively. The low polarity of DMSO in contrast to the high polarity of H2O may be the cause of ITN’s greatest solubility in pure DMSO [38,39,40]. In addition, the enhanced ITN solubility in DMSO could be due to intermolecular interactions between –COOH groups of ITN (Figure 1A) with S=O groups of DMSO (Figure 1B). Temperature and the mass fraction of DMSO both increased the mole fraction solubility of ITN (3) in different {DMSO (1) + H2O (2)} solutions. The effect of the DMSO mass fraction on the solubility of ITN in logarithmic mole fractions was also investigated between 298.2 and 318.2 K. Figure 3 provides documentation on the outcomes. At each temperature under study, the ITN solubility increased linearly with the DMSO mass fraction in mixes of {DMSO (1) + H2O (2)}. The solubility of ITN in mole fractions increased significantly from neat H2O to neat DMSO. Solubilizing ITN in an aqueous media could potentially use DMSO as a solubilizer or cosolvent.
Figure 2.
Graphic comparison between ITN mole fraction solubility data (xe) in (A) pure H2O and (B) pure DMSO with those found in the literature at 298.2–318.2 K. The symbol
indicates the stated mole fraction solubilities of ITN in (A) pure H2O and (B) pure DMSO, and the symbol
indicates the literature solubilities of ITN in (A) pure H2O and (B) pure DMSO retrieved from reference [33].
Figure 3.
Effect of DMSO mass fraction (m1) on ITN solubility values (xe) at 298.2–318.2 K.
2.2. Determination of Hansen Solubility Parameters (HSPs)
ITN’s total HSP (δt) was derived using reference [33], and it was found to be 19.30 MPa1/2, suggesting low polarity. The HSP values for neat DMSO (δ1) and neat H2O (δ2) are 23.60 MPa1/2 and 47.80 MPa1/2, respectively, according to the literature [33]. Calculations revealed that the range of HSP for different {DMSO (1) + H2O (2)} mixtures free of ITN (δmix) was between 26.02 and 45.38 MPa1/2. It was found that the δmix values fell in {DMSO (1) + H2O (2)} combinations as the DMSO mass percentage increased. As a result, DMSO mass fraction (m) = 0.1 and m = 0.9, respectively, were used to obtain the maximum and minimum δmix values. It was discovered, however, that a reduction in δmix values enhanced the solubility values of ITN. ITN (δt = 19.30 MPa1/2) and pure DMSO (δ1 = 23.60 MPa1/2) had HSPs that were generally close to one another. The examinations further revealed the greatest solubility of ITN in neat DMSO. Because of this, the ITN solubility data from experiments employing {DMSO (1) + H2O (2)} mixes closely mirrored these findings.
2.3. Ideal Solubility and Molecular Interactions
Table 1 displays the ideal solubility (xidl) values for ITN. The calculated values for ITN’s xidl range from 4.28 × 10−2 to 4.88 × 10−2 at 298.2–318.2 K. ITN exhibited substantially higher xidl values than experimental solubility (xe) values in pure H2O. At all temperatures examined, ITN’s xe values were higher than its xidl values in pure DMSO. Because ITN is most soluble in pure DMSO, it can be used as the best cosolvent for ITN solubilization.
Table 2 displays the activity coefficient (γi) values for ITN in various {DMSO (1) + H2O (2)} combinations at 298.2–318.2 K. At each of the studied temperatures, the ITN’s γi value was at its highest in pure H2O. But at each temperature considered, the γi of ITN was lowest in pure DMSO. In comparison to neat H2O, the γi values for ITN were substantially lower for neat DMSO. The highest γi for ITN in neat H2O may be explained by the least solubility of ITN in H2O. These outcomes suggest that, when compared to the ITN–H2O combination, the ITN–DMSO combination has the greatest number of solute–solvent interactions at the molecular level.
Table 2.
Activity coefficients (γi) of ITN in numerous {DMSO (1) + H2O (2)} combinations at 298.2–318.2 K.
| m | γ i | ||||
|---|---|---|---|---|---|
| T = 298.2 K | T = 303.2 K | T = 308.2 K | T = 313.2 K | T = 318.2 K | |
| 0.0 | 1,366,467 | 972,627.0 | 611,320.0 | 441,076.0 | 326,128.0 |
| 0.1 | 384,000.0 | 278,000.0 | 187,000.0 | 136,000.0 | 106,000.0 |
| 0.2 | 111,979.0 | 83,952.80 | 58,249.00 | 43,099.10 | 34,943.20 |
| 0.3 | 31,441.80 | 24,298.30 | 17,811.50 | 13,802.30 | 11,402.70 |
| 0.4 | 9161.740 | 7310.360 | 5568.540 | 4372.740 | 3713.1570 |
| 0.5 | 2602.340 | 2166.250 | 1703.980 | 1429.250 | 1233.060 |
| 0.6 | 751.8650 | 644.3650 | 534.7140 | 438.6560 | 399.5110 |
| 0.7 | 211.8050 | 189.9250 | 164.4500 | 146.1890 | 133.4190 |
| 0.8 | 61.48640 | 56.71900 | 51.11100 | 46.46460 | 42.45130 |
| 0.9 | 17.59830 | 16.68020 | 16.02050 | 14.83990 | 14.41810 |
| 1.0 | 5.057310 | 4.988350 | 4.918850 | 4.828590 | 4.790800 |
2.4. Correlation of ITN Solubility Data
ITN’s solubility values were correlated by six different computational models, like “van’t Hoff, Apelblat, Buchowski-Ksiazczak λh, Yalkowsky-Roseman, Jouyban-Acree, and Jouyban-Acree-van’t Hoff models” [26,43,44,45,46,47,48,49,50,51]. Table 3 displays the findings concerning the correlation with the “van’t Hoff model”. It was determined that this model’s overall root mean square deviation (RMSD) was 1.87%. For all cosolvent mixtures as well as neat DMSO and H2O, the determination coefficient (R2) for ITN was calculated to be 0.9940 to 0.9992. Results from the “van’t Hoff model” and ITN (3) experimental solubility values in mixes of {DMSO (1) + H2O (2)} showed a strong correlation.
Table 3.
Outcomes for the “van’t Hoff model” in terms of model parameters (a and b), R2, and RMSD for ITN (3) in numerous {DMSO (1) + H2O (2)} mixtures (values in parentheses are standard deviations of model parameters).
| m | a | b | R 2 | Overall RMSD (%) |
|---|---|---|---|---|
| 0.0 | 10.402 (0.34) | −7568.3 (512.12) | 0.9966 | |
| 0.1 | 9.3196 (0.32) | −6865.0 (432.41) | 0.9971 | |
| 0.2 | 8.8695 (0.30) | −6364.6 (402.15) | 0.9967 | |
| 0.3 | 7.4104 (0.27) | −5549.1 (321.27) | 0.9969 | |
| 0.4 | 6.9041 (0.22) | −5031.7 (301.43) | 0.9968 | |
| 0.5 | 5.5507 (0.17) | −4252.5 (284.81) | 0.9967 | 1.87 |
| 0.6 | 5.1279 (0.16) | −3757.5 (253.58) | 0.9940 | |
| 0.7 | 3.4432 (0.10) | −2877.3 (194.29) | 0.9978 | |
| 0.8 | 3.1037 (0.09) | −2408.9 (180.21) | 0.9988 | |
| 0.9 | 1.6606 (0.05) | −1603.6 (64.29) | 0.9948 | |
| 1.0 | 0.52410 (0.01) | −892.54 (28.41) | 0.9992 |
In binary solvent mixes, pure H2O, and DMSO, experimental and Apelblat solubility data for ITN are graphically correlated in Figure 4. The findings shown in Figure 4 reveal that the experimental solubility values of ITN and the “Apelblat model” correlated well. In Table 4, the Apelblat model parameters and correlation findings for ITN in binary {DMSO (1) + H2O (2)} mixes are shown. It was determined that this model’s overall RMSD was 1.69%. Including pure DMSO and H2O, ITN (3) demonstrated an R2 of 0.9951–0.9994 in all cosolvent combinations. A significant correlation was also found between the results of the “Apelblat model” and the experimental ITN (3) solubility values in numerous {DMSO (1) H2O (2)} mixes.
Figure 4.
Graphical comparison of experimental ITN (3) solubility data (xe) with “Apelblat model” in numerous {DMSO (1) + H2O (2)} mixes (DMSO mass fraction m = 0.0–1.0) against 1/T; symbols indicate the experimental ITN solubility data, whereas solid lines indicate the “Apelblat model” ITN solubility data.
Table 4.
Outcomes of the “Apelblat model” in terms of model parameters (A, B, and C), R2, and RMSD for ITN (3) in numerous {DMSO (1) + H2O (2)} mixes (values in parentheses are standard deviations of model coefficients).
| m | A | B | C | R 2 | Overall RMSD (%) |
|---|---|---|---|---|---|
| 0.0 | 454.09 (31.12) | −27954 (182.26) | −65.877 (6.71) | 0.9969 | |
| 0.1 | 563.01 (34.58) | −32298 (203.31) | −82.214 (8.45) | 0.9978 | |
| 0.2 | 512.95 (32.81) | −29519 (188.16) | −74.847 (7.71) | 0.9974 | |
| 0.3 | 521.99 (33.10) | −29183 (183.24) | −76.408 (7.93) | 0.9979 | |
| 0.4 | 436.22 (29.82) | −24751 (174.34) | −63.746 (6.94) | 0.9977 | |
| 0.5 | 344.90 (26.24) | −19840 (121.63) | −50.388 (5.13) | 0.9974 | 1.69 |
| 0.6 | 347.63 (26.31) | −19489 (119.06) | −50.857 (5.16) | 0.9951 | |
| 0.7 | 126.23 (6.13) | −8521.8 (64.31) | −18.230 (1.57) | 0.9980 | |
| 0.8 | −148.36 (7.21) | 4553.4 (44.12) | 22.479 (1.77) | 0.9994 | |
| 0.9 | 44.494 (2.84) | −3574.5 (38.84) | −6.3581 (0.76) | 0.9950 | |
| 1.0 | 11.915 (1.01) | −1418.1 (22.89) | −1.6901 (0.10) | 0.9992 |
The findings of the “Buchowski-Ksiazaczak λh” correlation for ITN in cosolvent mixtures and neat solvents are shown in Table 5. It was determined that this model’s overall RMSD was 3.15%. These results also show a strong agreement between the experimental solubility values from ITN and the “Buchowski-Ksiazaczak λh model”.
Table 5.
Outcomes of “Buchowski-Ksiazaczak λh model” for ITN (3) in numerous {DMSO (1) + H2O (2)} mixes (values in parentheses are standard deviations of model parameters).
| m | λ | h | Overall RMSD (%) |
|---|---|---|---|
| 0.0 | 5.3156 (0.86) | 1423.8 (31.23) | |
| 0.1 | 4.8451 (0.83) | 1416.9 (30.62) | |
| 0.2 | 4.1898 (0.75) | 1519.0 (33.18) | |
| 0.3 | 3.8473 (0.66) | 1442.3 (32.51) | |
| 0.4 | 3.2108 (0.51) | 1567.0 (34.21) | |
| 0.5 | 2.8430 (0.42) | 1495.8 (32.91) | 3.15 |
| 0.6 | 2.1723 (0.27) | 1729.7 (38.44) | |
| 0.7 | 1.9127 (0.12) | 1504.3 (33.61) | |
| 0.8 | 1.2176 (0.10) | 1978.4 (41.18) | |
| 0.9 | 0.88170 (0.01) | 1818.7 (39.42) | |
| 1.0 | 0.44750 (0.02) | 1994.4 (42.12) |
The results of the correlation with the “Yalkowsky-Roseman model” are shown in Table 6. It was determined that this model’s overall RMSD was 2.10%, suggesting a satisfactory connection between the “Yalkowsky-Roseman model” and the solubility data for ITN (3) in various {DMSO (1) + H2O (2)} combinations.
Table 6.
Findings of “Yalkowsky-Roseman model” for ITN (3) in several {DMSO (1) + H2O (2)} combinations at 298.2–318.2 K.
| m | log xYal | Overall RMSD (%) | ||||
|---|---|---|---|---|---|---|
| T = 298.2 K | T = 303.2 K | T = 308.2 K | T = 313.2 K | T = 318.2 K | ||
| 0.1 | −5.96 | −5.80 | −5.61 | −5.46 | −5.34 | |
| 0.2 | −5.42 | −5.28 | −5.10 | −4.96 | −4.85 | |
| 0.3 | −4.87 | −4.75 | −4.59 | −4.47 | −4.37 | |
| 0.4 | −4.33 | −4.22 | −4.08 | −3.97 | −3.89 | 2.10 |
| 0.5 | −3.79 | −3.69 | −3.57 | −3.48 | −3.40 | |
| 0.6 | −3.24 | −3.16 | −3.06 | −2.98 | −2.92 | |
| 0.7 | −2.70 | −2.63 | −2.55 | −2.49 | −2.44 | |
| 0.8 | −2.15 | −2.10 | −2.04 | −1.99 | −1.95 | |
| 0.9 | −1.61 | −1.57 | −1.54 | −1.50 | −1.47 | |
In several {DMSO (1) + H2O (2)} mixes at varied temperatures and in varied solvent mixes, the solubility value of ITN (3) was likewise correlated to “Jouyban-Acree and Jouyban-Acree-van’t Hoff models” [51]. The results of the correlation with the “Jouyban-Acree and Jouyban-Acree-van’t Hoff models” are shown in Table 7. According to the calculations, the overall RMSDs for the “Jouyban-Acree and Jouyban-Acree-van’t Hoff models” are 1.02% and 1.15%, respectively.
Table 7.
Findings of “Jouyban-Acree” and “Jouyban-Acree-van’t Hoff” models for ITN (3) in different {DMSO (1) + H2O (2)} mixtures (values in parentheses are standard deviations of model parameters).
| System | Jouyban-Acree | Jouyban-Acree-van’t Hoff |
|---|---|---|
|
A1 0.52410 (0.01) B1 −892.54 (28.41) A2 10.402 (0.34) B2 −7568.3 (512.12) Ji 29,178 (532.41) 1.15 |
||
| {DMSO (1) + H2O (2)} | Ji 30,624 (561.32) | |
| RMSD (%) | 1.02 |
2.5. Thermodynamic Parameters for ITN Dissolution
The van’t Hoff method was used to derive apparent standard enthalpy (ΔsolH°) values for ITN in all cosolvent mixtures as well as neat DMSO and H2O. The linear van’t Hoff graphs of ITN in all cosolvent mixtures, as well as in pure DMSO and H2O, are shown in Figure 5 where R2 > 0.99 was determined, as shown in Table 8. The results for all thermodynamic parameters are likewise shown in Table 8. ITN (3) ΔsolH° values in numerous {DMSO (1) + H2O (2)} mixes and neat DMSO and H2O ranged from 7.430 to 63.00 kJ mol−1. ITN (3) apparent standard Gibbs energy (ΔsolG°) values in various {DMSO (1) + H2O (2)} mixes and neat DMSO and H2O ranged from 6.077 to 36.27 kJ mol−1. These results for ITN’s ΔsolH° and ΔsolG° revealed “endothermic dissolution” of ITN (3) in various {DMSO (1) + H2O (2)} mixes as well as neat DMSO and H2O [26,38]. ITN (3) apparent standard entropy (ΔsolS°) values between 4.392 and 86.78 J mol−1 K−1 were obtained in numerous {DMSO (1) + H2O (2)} mixes as well as in neat DMSO and H2O, showing that entropy-driven ITN (3) dissolution occurs in these binary mixtures [26]. In all {DMSO (1) + H2O (2)} mixes, including neat DMSO and H2O, it was discovered that the dissolution of ITN (3) was “endothermic and entropy-driven” [26,38].
Figure 5.
van’t Hoff plots at the mean harmonic temperature (Thm) for ITN created between logarithmic mole fraction solubility (ln xe) and 1/T-1/Thm for ITN in numerous {DMSO (1) + H2O (2)} mixtures (DMSO mass fraction m = 0.0–1.0).
Table 8.
Apparent thermodynamic parameters (ΔsolH0, ΔsolG0, and ΔsolS0) along with R2 values for ITN (3) in different {DMSO (1) + H2O (2)} mixtures c (values in parentheses are standard deviations of thermodynamic parameters).
| m | ΔsolH0/kJ mol−1 | ΔsolG0/kJ mol−1 | ΔsolS0/J mol−1 K−1 | R 2 |
|---|---|---|---|---|
| 0.0 | 63.00 (0.76) | 36.27 (0.43) | 86.78 (1.12) | 0.9966 |
| 0.1 | 57.15 (0.67) | 33.20 (0.41) | 77.75 (1.03) | 0.9971 |
| 0.2 | 52.98 (0.63) | 30.19 (0.39) | 73.99 (1.00) | 0.9967 |
| 0.3 | 46.19 (0.52) | 27.15 (0.37) | 61.83 (0.98) | 0.9969 |
| 0.4 | 41.89 (0.48) | 24.14 (0.36) | 57.59 (0.92) | 0.9968 |
| 0.5 | 35.40 (0.42) | 21.13 (0.30) | 46.31 (0.81) | 0.9967 |
| 0.6 | 31.28 (0.40) | 18.10 (0.26) | 42.78 (0.74) | 0.9940 |
| 0.7 | 23.95 (0.32) | 15.10 (0.24) | 28.74 (0.56) | 0.9978 |
| 0.8 | 20.05 (0.28) | 12.07 (0.20) | 25.90 (0.48) | 0.9989 |
| 0.9 | 13.35 (0.22) | 9.078 (0.14) | 13.87 (0.23) | 0.9948 |
| 1.0 | 7.430 (0.10) | 6.077 (0.09) | 4.392 (0.10) | 0.9992 |
c The relative uncertainties are u(ΔsolH0) = 0.051, u(ΔsolG0) = 0.047 and u(ΔsolS0) = 0.057.
2.6. Enthalpy–Entropy Compensation Analysis
An enthalpy–entropy compensation analysis was utilized to study the solvation behavior of ITN (3) in various {DMSO (1) + H2O (2)} mixes as well as pure DMSO and H2O. The results are presented in Figure 6. Figure 6 demonstrates that ITN (3) delivers a linear ΔsolH° vs. ΔsolG° curve in all {DMSO (1) + H2O (2)} mixtures with neat DMSO and H2O, with a slope of larger than 1.0 and R2 of greater than 0.99. Based on these findings, it is predicted that the ITN (3) solvation driven mechanism is enthalpy-driven in all {DMSO (1) + H2O (2)} mixes as well as in neat DMSO and H2O. The fact that ITN solvates more effectively in pure DMSO molecules than in neat H2O molecules should be used to explain this mechanism of ITN solvation [26,38]. This led to stronger interactions between ITN-DMSO molecules than ITN-H2O molecules. ITN (3) solvated similarly to raloxifene hydrochloride, sinapic acid, pyridazinone derivatives, and baricitinib in numerous {DMSO (1) + H2O (2)} mixes as well as in neat DMSO and H2O [26,38,39,40].
Figure 6.
Apparent standard enthalpy (ΔsolH°) vs. apparent standard Gibbs energy (ΔsolG°) enthalpy–entropy compensation analysis for solubility of ITN in various {DMSO (1) + H2O (2)} mixtures at the mean harmonic temperature (Thm) = 308 K (DMSO mass fraction m = 0.0–1.0).
3. Materials and Methods
3.1. Materials
ITN was acquired from BOC Sciences (Shirley, NY, USA). DMSO was procured from Sigma Aldrich (St. Louis, MO, USA). Purified H2O was procured via a Milli-Q device. The details of each material are summarized in Table 9.
Table 9.
Summary of materials used.
| Material | Molecular Formula | Molar Mass (g mol−1) | CAS RN | Purification Method | Mass Fraction Purity | Analysis Method | Source |
|---|---|---|---|---|---|---|---|
| ITN | C20H28O2 | 300.40 | 4759-48-2 | None | >0.98 | HPLC | BOC Sciences |
| DMSO | C2H6OS | 78.13 | 67-68-5 | None | >0.99 | GC | Sigma Aldrich |
| Water | H2O | 18.07 | 7732-18-5 | None | - | - | Milli-Q |
ITN: isotretinoin; DMSO: dimethyl sulfoxide; HPLC: high-performance liquid chromatography; GC: gas chromatography.
3.2. Determination of ITN (3) Solubility in {DMSO (1) + H2O (2)} Mixes
Mass measurements of all {DMSO (1) + H2O (2)} combinations were taken by a digital analytical balance (Mettler Toledo, Greifensee, Switzerland), which had a sensitivity of 0.10 mg. A series of {DMSO (1) + H2O (2)} solutions, with DMSO mass percentages ranging from 0.10 to 0.90, was examined. Three replicates of each {DMSO (1) + H2O (2)} combination were taken [26]. ITN’s mole fraction solubility versus mass fraction of DMSO (m = 0.0–1.0) and neat DMSO and H2O was measured using a shake flask approach at 298.2–318.2 K and 101.1 kPa [52]. In essence, the known amounts of each {DMSO (1) + H2O (2)} combination and neat DMSO and H2O were combined with extra ITN crystals in triplicate. The equilibrium was achieved by saturating the resultant mixes in a WiseBath® WSB shaking water bath (Model WSB-18/30/-45, Daihan Scientific Co. Ltd., Seoul, Korea) at a shaking speed of 100 rpm for 72 h [33]. In order to evaluate the equilibrium time, the preliminary experiments were performed at different time intervals. It was found that there was negligible change in solubility after 72 h and hence it was selected as the equilibrium time. The saturated solutions were again removed from the shaker after they had reached equilibrium and centrifuged for 30 min at 5000 rpm. A previously established environmentally friendly HPLC method was used to assess the ITN content after the supernatants were isolated and diluted (as required) [53]. The identification of ITN was carried out via a Nucleodur (dimensions: 150 mm × 4.6 mm and particle size: 5 μm) reversed-phase C18 analytical column at 298.2 K. The environmentally friendly mobile used was a binary mixture of ethyl acetate and ethanol (50:50% v v−1). The mobile phase was delivered with a flow speed of 1 mL min−1. The ITN measurements were performed at a wavelength of 354 nm. The sample volume was 20 μL, which was injected using a Waters autosampler. The Analytical GREEnness (AGREE) score was determined to evaluate the eco-friendliness nature of the HPLC method. The AGREE score was predicted to be 0.76 for the present HPLC method, indicating the eco-friendly nature of the HPLC method [53]. ITN mole fraction solubilities (xe) were calculated using their standard formulae described in our previous work [38,39,40].
3.3. HSPs of ITN and Numerous {DMSO (1) + H2O (2)} Combinations
A drug’s HSP is directly correlated with how well it dissolves in a neat solvent or cosolvent–H2O combination. A medication will reportedly have the highest solubility in a certain solvent when its HSP is close to that solvent’s [54]. As a result, the HSPs for the research medication ITN, neat DMSO, and neat H2O were calculated. ITN, neat H2O, and neat DMSO δt values were derived from reference [33].
Using Equation (1), the δmix was calculated [55]:
| (1) |
where α is the DMSO volume percentage in the mixture of {DMSO (1) + H2O (2)}.
3.4. ITN Ideal Solubility and Molecular Interactions
Using Equation (2), we derived the xidl of ITN at 298.2–318.2 K [56]:
| (2) |
where T is an absolute temperature; Tfus is the ITN fusion/melting temperature; R is a universal gas constant; ∆Hfus is the ITN fusion enthalpy, and ∆Cp is the difference in the molar heat capacity of the ITN solid state with its liquid state [57]. Equation (3) was utilized to derive the ∆Cp for ITN [56,57]:
| (3) |
The Tfus and ∆Hfus values for ITN were taken as 452.7 K and 7.64 kJ mol−1, respectively from reference [33]. The ∆Cp for ITN was calculated to be 16.67 J mol−1 K−1 using Equation (3). Finally, the xidl values for ITN were derived from Equation (2). Equation (4) was used to derive the γi values for ITN in numerous {DMSO (1) + H2O (2)} mixes including neat DMSO and H2O [56,58]:
| (4) |
The chemical basis of molecular interactions between the solute and solvent was explained using ITN γi values.
3.5. Correlation of ITN Solubility with Computational Models
The computational verification of experimental drug solubility data is crucial for practical predictions and validations [43,44]. For the correlation of the experimental solubility data of ITN, six distinct computational models, namely “van’t Hoff, Apelblat, Buchowski-Ksiazczak λh, Yalkowsky-Roseman, Jouyban-Acree, and Jouyban-Acree-van’t Hoff models”, were utilized [26,43,44,45,46,47,48,49,50,51]. The program used for all modeling tasks was MS Excel 2013. “van’t Hoff model solubility (xvan’t)” of ITN (3) in binary {DMSO (1) + H2O (2)} mixtures was derived via Equation (5) [26]:
| (5) |
where a and b are Equation (5) model parameters recorded using the least squares methodology [49]. RMSD was used to correlate the values xe and xvan’t for the ITN. A formula taken from the literature was used to calculate the RMSD [59]. With the help of Equation (6), the “Apelblat model solubility (xApl)” of ITN (3) in numerous {DMSO (1) + H2O (2)} mixtures was derived [45,46]:
| (6) |
where “nonlinear multivariate regression analysis” [59] was used to obtain the Equation (6) model parameters from the experimental ITN solubility values provided in Table 1. In terms of RMSD, the results from ITN’s xe and xApl were likewise correlated. By Equation (7), the “Buchowski-Ksiazczak λh solubility (xλh)” of ITN (3) in numerous {DMSO (1) + H2O (2)} mixtures was derived [47,48]:
| (7) |
where λ and h are Equation (7) model parameters.
Because Equations (5)–(7) reflect solubility data at varied temperatures in a certain solvent composition, they cannot be used to forecast the solubility data of a binary solvent combination at varied solvent compositions [51,60,61]. In order to make such forecasts, cosolvency models such as the Yalkowsky–Roseman, Jouyban–Acree, and Jouyban–Acree–van’t Hoff models are needed. With the help of Equation (8), “logarithmic solubility of Yalkowsky-Roseman model (log xYal)” for ITN (3) in numerous {DMSO (1) + H2O (2)} mixtures was derived [50]:
| (8) |
where, x1 = ITN solubility (3) in DMSO (1); x2 = ITN solubility in H2O (2); w1 = DMSO mass fraction, and w2 = H2O mass fraction. Drug solubility data in various solvent compositions at a given temperature are linked by Equation (8).
Equation (9) was utilized to derive the solubility of drugs in distinct cosolvent mixtures and temperature () via the “Jouyban-Acree model” [51]:
| (9) |
where and are the solubility of ITN in DMSO (1) and H2O (2) at temperature T and J terms are Equation (9) model parameters. To calculate the solubility of ITN in cosolvent compositions at the target temperature, the solubility of ITN in neat DMSO and H2O must be used as input data. Equations (5) and (9) can be used to create the “Jouyban-Acree-van’t Hoff model” [51] to get around this restriction.
3.6. Thermodynamic Parameters
At the mean harmonic temperature (Thm), all apparent thermodynamic parameters for ITN were determined [56]. The Thm was determined using the reported equation [51,56]. The calculated Thm for ITN is 308 K. An apparent thermodynamic analysis was applied to derive several thermodynamic parameters. The “van’t Hoff and Gibbs equations” were used to calculate these parameters. The ΔsolH0 values for ITN (3) in various {DMSO (1) + H2O (2)} mixtures were calculated using Equation (10) and Thm = 308 K [47,62]:
| (10) |
The “ΔsolH0” for ITN was derived using the graphed “van’t Hoff” plots between the ln xe values of ITN and . The van’t Hoff plots for ITN (3) in binary {DMSO (1) + H2O (2)} mixes are shown in Figure 5.
Additionally, at Thm = 308 K, the ΔsolG0 for ITN (3) in binary {DMSO (1) + H2O (2)} mixes was calculated using the Krug et al. methodology via Equation (11) [62]:
| (11) |
where, the “van’t Hoff plots” shown in Figure 5 were used to determine the intercept values for ITN (3) in binary mixtures of DMSO (1) and H2O (2).
By Equation (12), the ΔsolS0 for ITN (3) in numerous {DMSO (1) + H2O (2)} mixtures was derived [56,62,63]:
| (12) |
3.7. Enthalpy–Entropy Compensation Analysis
An enthalpy–entropy compensation analysis was used, as previously described [26], to evaluate the solvation behavior of ITN (3) in numerous mixes of {DMSO (1) + H2O (2)}. Weighted curves of ΔsolH° vs. ΔsolG° were generated at Thm = 308 K for this experiment [64,65].
4. Conclusions
The solubility of ITN in several {DMSO (1) + H2O (2)} combinations has not yet been published. This study evaluated the solubility of ITN (3) in binary {DMSO (1) + H2O (2)} combinations as well as neat DMSO and H2O at various temperatures under constant pressure. In all {DMSO (1) + H2O (2)} mixes, including neat DMSO and H2O, ITN (3) mole fraction solubilities rose with the temperature and DMSO mass fraction. The maximum and minimum solubilities of ITN in neat DMSO and neat H2O, respectively, were found for each temperature studied. Six distinct computational models and experimentally determined ITN (3) solubility data were highly correlated for all {DMSO (1) + H2O (2)} mixes, including neat DMSO and H2O. It was discovered that all thermodynamic values, including ΔsolH°, ΔsolG°, and ΔsolS°, in numerous {DMSO (1) + H2O (2)} mixes as well as pure DMSO and H2O were positive, showing “endothermic and entropy-driven” ITN dissolution. Enthalpy drove the ITN solvation process in all {DMSO (1) + H2O (2)} combinations as well as in pure DMSO and H2O. The collected information from this study may be beneficial for recrystallization, purification, pre-formulation studies, and for the creation of dosage forms for the medicine under study.
Acknowledgments
The authors are grateful to the Researchers Supporting Project number (RSPD2023R1040), King Saud University, Riyadh, Saudi Arabia for supporting this work.
Author Contributions
Conceptualization, F.S. and N.H.; methodology, N.H., S.A. and I.A.A.; software, A.A.; validation, A.A., M.A. and I.A.A.; formal analysis, M.A.; investigation, N.H., I.A.A. and F.S.; resources, F.S.; data curation, M.A.; writing—original draft preparation, F.S.; writing—review and editing, N.H., A.A. and S.A.; visualization, F.S.; supervision, F.S.; project administration, F.S.; funding acquisition, F.S. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data are available on reasonable request from the corresponding author.
Conflicts of Interest
The authors declare no conflict of interest.
Sample Availability
Samples of the compound ITN are available from the authors.
Funding Statement
This research project was supported by Researchers Supporting Project number (RSPD2023R1040), King Saud University, Riyadh, Saudi Arabia.
Footnotes
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References
- 1.Berbenni V., Marini A., Bruni G., Cardini A. Thermoanalytical and spectroscopic characterization of solid-state retinoic acid. Int. J. Pharm. 2001;221:123–141. doi: 10.1016/S0378-5173(01)00677-9. [DOI] [PubMed] [Google Scholar]
- 2.Ghorab M.M., Babiker M.E. Formulation and in-vitro evaluation of isotretinoin tablets. J. Chem. Pharm. Res. 2012;4:2817–2831. [Google Scholar]
- 3.Ascenso A., Guedes R., Bernardino R., Diogo H., Carvalho F.A., Santos N.C., Silva A.M., Marques H.C. Complexation and full characterization of the tretinoin and dimethyl-βeta-cyclodextrin complex. AAPS PharmSciTech. 2011;12:553–563. doi: 10.1208/s12249-011-9612-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Muccio D.D., Brouillette W.J., Alam M., Vaezi M.F., Sani B.P., Venepally P., Reddy L., Li E., Norris A.W., Simpson-Herren L., et al. Conformationally defined 6-s-trans-retinoic acid analogs. 3. Structure–activity relationships for nuclear receptor binding, transcriptional activity, and cancer chemopreventive activity. J. Med. Chem. 1996;39:3625–3635. doi: 10.1021/jm9603126. [DOI] [PubMed] [Google Scholar]
- 5.Muccio D.D., Brouillette W.J., Breritman T.R., Taimi M., Emanuel P.D., Zhang X., Chen G., Sani B.P., Venepally P., Reddy L., et al. Conformationally defined retinoic acid analogues. 4. Potential new agents for acute promyelocytic and juvenile myelomonocytic leukemias. J. Med. Chem. 1998;41:1679–1687. doi: 10.1021/jm970635h. [DOI] [PubMed] [Google Scholar]
- 6.Levin A.H., Bos M.E., Zusi F.C., Nair X., Whiting G., Bouquin P., Tetrault G., Carrol F.I. Evaluation of retinoids as therapeutic agents in dermatology. Pharm. Res. 1994;11:192–200. doi: 10.1023/a:1018938920796. [DOI] [PubMed] [Google Scholar]
- 7.Anadolu R.Y., Sen T., Tarimci N., Birol A., Erdem C. Improved efficacy and tolerability of retinoic acid in acne vulgaris: A new topical formulation with cyclodextrin complex psi. Eur. J. Acad. Dermatol. Venereol. 2004;18:416–421. doi: 10.1111/j.1468-3083.2004.00929.x. [DOI] [PubMed] [Google Scholar]
- 8.Loveday S.M., Singh H. Recent advances in technologies for vitamin A protection in foods. Trends Food Sci. Technol. 2008;19:657–668. doi: 10.1016/j.tifs.2008.08.002. [DOI] [Google Scholar]
- 9.Gollnick H., Zouboulis C.C. Not all acne is acne vulgaris. Dtsch. Aerztebl. Int. 2014;111:301–312. doi: 10.3238/arztebl.2014.0301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Espinosa N.I., Cohen P.R. Acne vulgaris: A patient and physician’s experience. Dermatol. Ther. 2020;10:1–14. doi: 10.1007/s13555-019-00335-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Fallah H., Rademaker M. Isotretenoin for acne vulgaris—An update on adverse effects and laboratory monitoring. J. Dermatol. Treat. 2022;33:2414–2424. doi: 10.1080/09546634.2021.1967269. [DOI] [PubMed] [Google Scholar]
- 12.Alwhaibi A., Alenazi M., Almadi B., Alotaibi A., Alshehri S.M., Shakeel F. A practical method for oral administration of pediatric oncology patient: A case study of neuroblastoma. J. Oncol. Pharm. Pract. 2023;29:755–759. doi: 10.1177/10781552221117814. [DOI] [PubMed] [Google Scholar]
- 13.Tan X., Meltzer N., Lindebaum S. Solid-state stability studies of 13-cis-retinoic acid and all-trans-retinoic acid using microcalorimetry and HPLC analysis. Pharm. Res. 1992;9:1203–1208. doi: 10.1023/A:1015816225127. [DOI] [PubMed] [Google Scholar]
- 14.Yap K.L., Liu X., Thenmozhiyal J.C., Ho P.C. Characterization of the 13-cis-retinoic acid/cyclodextrin inclusion complexes by phase solubility, photostability, physicochemical and computational analysis. Eur. J. Pharm. Sci. 2005;25:49–56. doi: 10.1016/j.ejps.2005.01.021. [DOI] [PubMed] [Google Scholar]
- 15.Di L., Fish P.V., Mano T. Bridging solubility between drug discovery and development. Drug Discov. Today. 2012;17:486–495. doi: 10.1016/j.drudis.2011.11.007. [DOI] [PubMed] [Google Scholar]
- 16.Rezaei H., Rahimpour E., Zhao H., Martinez F., Barzegar-Jalali M., Jouyban A. Solubility of baclofen in some neat and mixed solvents at different temperatures. J. Mol. Liq. 2022;347:E118352. doi: 10.1016/j.molliq.2021.118352. [DOI] [Google Scholar]
- 17.Barrett J.A., Yang W., Skolnik S.M., Belliveau L.M., Patros K.M. Discovery solubility measurement and assessment of small molecules with drug development in mind. Drug Discov. Today. 2022;27:1315–1325. doi: 10.1016/j.drudis.2022.01.017. [DOI] [PubMed] [Google Scholar]
- 18.Soliman M.E., Adewumi A.T., Akawa O.B., Subair T.I., Okunlola F.O., Akinsuku A.E., Khan S. Simulation models for prediction of bioavailability of medicinal drugs-the interface between experiment and computation. AAPS PharmSciTech. 2022;23:E86. doi: 10.1208/s12249-022-02229-5. [DOI] [PubMed] [Google Scholar]
- 19.Yadav K., Sachan A.K., Kumar S., Dubey A. Techniques for increasing solubility: A review of conventional and new strategies. Asian J. Pharm. Res. Dev. 2022;10:144–153. doi: 10.22270/ajprd.v10i2.1054. [DOI] [Google Scholar]
- 20.Jouyban A. Review of the cosolvency models for predicting drug solubility in solvent mixtures: An update. J. Pharm. Pharm. Sci. 2019;22:466–485. doi: 10.18433/jpps30611. [DOI] [PubMed] [Google Scholar]
- 21.Bolla G., Nangia A. Pharmaceutical cocrystals: Walking the talk. Chem. Commun. 2016;52:8342–8360. doi: 10.1039/C6CC02943D. [DOI] [PubMed] [Google Scholar]
- 22.Bolla G., Sarma B., Nangia A.K. Crystal engineering of pharmaceutical cocrystals in the discovery and development of improved drugs. Chem. Rev. 2022;122:11514–11603. doi: 10.1021/acs.chemrev.1c00987. [DOI] [PubMed] [Google Scholar]
- 23.Duggirala N.K., Perry M.L., Almarsson O., Zaworotko M.J. Pharmaceutical cocrystals: Along with the path to improve medicines. Chem. Commun. 2016;52:640–655. doi: 10.1039/C5CC08216A. [DOI] [PubMed] [Google Scholar]
- 24.Paus R., Hart E., Ji Y., Sadowski G. Solubility and caloric properties of cinnarizine. J. Chem. Eng. Data. 2015;60:2256–2261. doi: 10.1021/acs.jced.5b00075. [DOI] [Google Scholar]
- 25.Ruether F., Sadowski G. Modeling the solubility of pharmaceuticals in pure solvents and solvent mixtures for drug process design. J. Pharm. Sci. 2009;98:4205–4215. doi: 10.1002/jps.21725. [DOI] [PubMed] [Google Scholar]
- 26.Alyamani M., Alshehri S., Alam P., Wani S.U.D., Ghoneim M.M., Shakeel F. Solubility and solution thermodynamics of raloxifene hydrochloride in various (DMSO + water) compositions. Alexand. Eng. J. 2022;61:9119–9128. doi: 10.1016/j.aej.2022.02.051. [DOI] [Google Scholar]
- 27.Guimarãesa C.A., Mena F., Mena B., Quenca-Guillena J.S., Matos J.D.R., Mercuri L.P., Braz A.B., Rossetti F.C., Kedor-Hackmann E.R.M., Santoro M.I.R.M. Comparative physical–chemical characterization of encapsulated lipid-based isotretinoin products assessed by particle size distribution and thermal behavior analyses. Thermochim. Acta. 2010;505:73–78. doi: 10.1016/j.tca.2010.04.001. [DOI] [Google Scholar]
- 28.Patel M.R., Patel R.B., Parikh J.R., Patel B.G. HPTLC method for estimation of isotretinoin in topical formulations, equilibrium solubility screening, and in vitro permeation study. J. Liq. Chromatogr. Relat. Technol. 2011;34:1783–1799. doi: 10.1080/10826076.2011.579218. [DOI] [Google Scholar]
- 29.Patel M.R., Patel R.B., Parikh J.R., Patel B.G. Improving the isotretinoin photostability by incorporating in microemulsion matrix. ISRN Pharm. 2011;2011:E838016. doi: 10.5402/2011/838016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Patel M.R., Patel R.B., Parikh J.R., Patel B.G. Novel isotretinoin microemulsion-based gel for targeted topical therapy of acne: Formulation consideration, skin retention and skin irritation studies. Appl. Nanosci. 2016;6:539–553. doi: 10.1007/s13204-015-0457-z. [DOI] [Google Scholar]
- 31.Chavda H., Patel J., Chavada D., Dave S., Patel A., Patel C. Self-nanoemulsifying powder of isotretinoin: Preparation and characterization. J. Powder Technol. 2013;2013:E108569. doi: 10.1155/2013/108569. [DOI] [Google Scholar]
- 32.Hosny K.M., Al Nahyah K.S., Alhakamy N.A. Self-nanoemulsion loaded with a combination of isotretinoin, an antiacne drug, and quercetin: Preparation, optimization, and in vivo assessment. Pharmaceutics. 2021;13:46. doi: 10.3390/pharmaceutics13010046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Shakeel F., Haq N., Mahdi W.A., Alsarra I.A., Alshehri S., Alenazi M., Alwhaibi A. Solubilization and thermodynamic analysis of isotretinoin in eleven different green solvents at different temperatures. Materials. 2023;15:8274. doi: 10.3390/ma15228274. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Alsenz J., Kansy M. High throughput solubility measurement in drug discovery and development. Adv. Drug Deliv. Rev. 2007;59:546–567. doi: 10.1016/j.addr.2007.05.007. [DOI] [PubMed] [Google Scholar]
- 35.Wernersson S., Birgersson S., Akke M. Cosolvent dimethyl sulfoxide influences protein-ligand binding kinetics via solvent viscosity effects: Revealing the success rate of complex formation following diffusive protein−ligand encounter. Biochemistry. 2023;62:44–52. doi: 10.1021/acs.biochem.2c00507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Novales N.A., Schwans J.P. Comparing the effects of organic cosolvents on acetylcholinesterase and butyrylcholinesterase activity. Anal. Biochem. 2022;654:E114796. doi: 10.1016/j.ab.2022.114796. [DOI] [PubMed] [Google Scholar]
- 37.Stenstrom O., Diehl C., Modig K., Nilsson U.J., Akke M. Mapping the energy landscape of protein−ligand binding via linear free energy relationships determined by protein NMR relaxation dispersion. RSC Chem. Biol. 2021;2:259–265. doi: 10.1039/D0CB00229A. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Shakeel F., Haq N., Salem-Bekhit M.M., Raish M. Solubility and dissolution thermodynamics of sinapic acid in (DMSO + water) binary solvent mixtures at different temperatures. J. Mol. Liq. 2017;225:833–839. doi: 10.1016/j.molliq.2016.11.009. [DOI] [Google Scholar]
- 39.Shakeel F., Alshehri S., Imran M., Haq N., Alanazi A., Anwer M.K. Experimental and computational approaches for solubility measurement of pyridazinone derivative in binary (DMSO + water) systems. Molecules. 2019;25:171. doi: 10.3390/molecules25010171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Alshahrani S.M., Shakeel F. Solubility data and computational modeling of baricitinib in various (DMSO + water) mixtures. Molecules. 2020;26:2124. doi: 10.3390/molecules25092124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Tinjaca D.A., Martinez F., Almanza O.A., Pena M.A., Jouyban A., Acree W.E., Jr. Increasing the equilibrium solubility of meloxicam in aqueous media by using dimethyl sulfoxide as a cosolvent: Correlation, dissolution thermodynamics and preferential solvation. Liquids. 2022;2:161–182. doi: 10.3390/liquids2030011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Yao X., Wang Z., Geng Y., Zhao H., Rahimpour E., Acree W.E., Jr., Jouyban A. Hirshfeld surface and electrostatic potential surface analysis of clozapine and its solubility and molecular interactions in aqueous blends. J. Mol. Liq. 2022;360:E119328. doi: 10.1016/j.molliq.2022.119328. [DOI] [Google Scholar]
- 43.Zhang Y., Shi X., Yu Y., Zhao S., Song H., Chen A., Shang Z. Preparation and characterization of vanillin cross-linked chitosan microspheres of pterostilbene. Int. J. Polym. Anal. Charact. 2014;19:83–93. doi: 10.1080/1023666X.2014.864488. [DOI] [Google Scholar]
- 44.Mohammadian E., Rahimpour E., Martinez F., Jouyban A. Budesonide solubility in polyethylene glycol 400+ water at different temperatures: Experimental measurement and mathematical modelling. J. Mol. Liq. 2019;274:418–425. doi: 10.1016/j.molliq.2018.10.088. [DOI] [Google Scholar]
- 45.Apelblat A., Manzurola E. Solubilities of o-acetylsalicylic, 4-aminosalicylic, 3,5-dinitrosalicylic and p-toluic acid and magnesium-DL-aspartate in water from T = (278–348) K. J. Chem. Thermodyn. 1999;31:85–91. doi: 10.1006/jcht.1998.0424. [DOI] [Google Scholar]
- 46.Manzurola E., Apelblat A. Solubilities of L-glutamic acid, 3-nitrobenzoic acid, acetylsalicylic, p-toluic acid, calcium-L-lactate, calcium gluconate, magnesium-DL-aspartate, and magnesium-L-lactate in water. J. Chem. Thermodyn. 2002;34:1127–1136. doi: 10.1006/jcht.2002.0975. [DOI] [Google Scholar]
- 47.Ksiazczak A., Moorthi K., Nagata I. Solid-solid transition and solubility of even n-alkanes. Fluid Phase Equilib. 1994;95:15–29. doi: 10.1016/0378-3812(94)80058-8. [DOI] [Google Scholar]
- 48.Tong Y., Wang Z., Yang E., Pan B., Jiang J., Dang P., Wei H. Determination and correlation of solubility and solution thermodynamics of ethenzamide in different pure solvents. Fluid Phase Equilib. 2016;427:549–556. doi: 10.1016/j.fluid.2016.08.019. [DOI] [Google Scholar]
- 49.Shakeel F., Alshehri S. Solubilization, Hansen solubility parameters, solution thermodynamics and solvation behavior of flufenamic acid in (Carbitol + water) mixtures. Processes. 2020;8:1204. doi: 10.3390/pr8101204. [DOI] [Google Scholar]
- 50.Yalkowsky S.H., Roseman T.J. Solubilization of drugs by cosolvents. In: Yalkowsky S.H., editor. Techniques of Solubilization of Drugs. Marcel Dekker Inc.; New York, NY, USA: 1981. pp. 91–134. [Google Scholar]
- 51.Jouyban A., Acree W.E., Jr. Mathematical derivation of the Jouyban-Acree model to represent solute solubility data in mixed solvents at various temperatures. J. Mol. Liq. 2018;256:541–547. doi: 10.1016/j.molliq.2018.01.171. [DOI] [Google Scholar]
- 52.Higuchi T., Connors K.A. Phase-solubility techniques. Adv. Anal. Chem. Instr. 1965;4:117–122. [Google Scholar]
- 53.Haq N., Alshehri S., Alsarra I.A., Alenazi M., Alwhaibi A., Shakeel F. Environmentally friendly stability-indicating HPLC method for the determination of isotretinoin in commercial products and solubility samples. Heliyon. 2023;9:E18405. doi: 10.1016/j.heliyon.2023.e18405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Zhu Q.N., Wang Q., Hu Y.B., Abliz X. Practical determination of the solubility parameters of 1-alkyl-3-methylimidazolium bromide ([CnC1im]Br, n = 5, 6, 7, 8) ionic liquids by inverse gas chromatography and the Hansen solubility parameter. Molecules. 2019;24:1346. doi: 10.3390/molecules24071346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Wan Y., He H., Huang Z., Zhang P., Sha J., Li T., Ren B. Solubility, thermodynamic modeling and Hansen solubility parameter of 5-norbornene-2,3-dicarboximide in three binary solvents (methanol, ethanol, ethyl acetate + DMF) from 278.15 K to 323.15 K. J. Mol. Liq. 2020;300:E112097. doi: 10.1016/j.molliq.2019.112097. [DOI] [Google Scholar]
- 56.Ruidiaz M.A., Delgado D.R., Martínez F., Marcus Y. Solubility and preferential solvation of indomethacin in 1,4-dioxane + water solvent mixtures. Fluid Phase Equilib. 2010;299:259–265. doi: 10.1016/j.fluid.2010.09.027. [DOI] [Google Scholar]
- 57.Hildebrand J.H., Prausnitz J.M., Scott R.L. Regular and Related Solutions. Van Nostrand Reinhold; New York, NY, USA: 1970. [Google Scholar]
- 58.Manrique Y.J., Pacheco D.P., Martínez F. Thermodynamics of mixing and solvation of ibuprofen and naproxen in propylene glycol + water cosolvent mixtures. J. Sol. Chem. 2008;37:165–181. doi: 10.1007/s10953-007-9228-0. [DOI] [Google Scholar]
- 59.Shakeel F., Bhat M.A., Haq N., Fathi-Azarbayjani A., Jouyban A. Solubility and thermodynamic parameters of a novel anti-cancer drug (DHP-5) in polyethylene glycol 400 + water mixtures. J. Mol. Liq. 2017;229:241–245. doi: 10.1016/j.molliq.2016.12.067. [DOI] [Google Scholar]
- 60.Cong Y., Du C., Xing K., Bian Y., Li X., Wang M. Research on dissolution of actarit in aqueous mixtures: Solubilitydetermination and correlation, preferential solvation, solvent effectand thermodynamics. J. Mol. Liq. 2022;355:E119141. doi: 10.1016/j.molliq.2022.119141. [DOI] [Google Scholar]
- 61.Tinjaca D.A., Martinez F., Almanza O.A., Jouyban A., Acree W.E., Jr. Solubility, correlation, dissolution thermodynamics and preferential solvation of meloxicam in aqueous mixtures of 2-propanol. Pharm. Sci. 2022;28:130–144. doi: 10.34172/PS.2021.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Krug R.R., Hunter W.G., Grieger R.S. Enthalpy-entropy compensation. 2. Separation of the chemical from the statistic effect. J. Phys. Chem. 1976;80:2341–2351. doi: 10.1021/j100562a007. [DOI] [Google Scholar]
- 63.Holguín A.R., Rodríguez G.A., Cristancho D.M., Delgado D.R., Martínez F. Solution thermodynamics of indomethacin in propylene glycol + water mixtures. Fluid Phase Equilib. 2012;314:134–139. doi: 10.1016/j.fluid.2011.11.001. [DOI] [Google Scholar]
- 64.Behboudi E., Soleymani J., Martinez F., Jouyban A. Solubility of amlodipine besylate in binary mixtures of polyethylene glycol 400 + water at various temperatures: Measurement and modelling. J. Mol. Liq. 2022;347:E118394. doi: 10.1016/j.molliq.2021.118394. [DOI] [Google Scholar]
- 65.Mohammadian E., Foroumadi A., Hasanvand Z., Rahimpour E., Zhao H., Jouyban A. Simulation of mesalazine solubility in the binary solvents at various temperatures. J. Mol. Liq. 2022;357:E119160. doi: 10.1016/j.molliq.2022.119160. [DOI] [Google Scholar]
Associated Data
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Data Availability Statement
The data are available on reasonable request from the corresponding author.






