Solubility of meloxicam in ethylene glycol-water and propylene glycol-ethanol mixtures: Experimental determination and thermodynamic analysis

Castro, G.T.; Loyola, Juan Martín; Gasull, Estela; Almandoz, M.C.

doi:10.1016/j.molliq.2022.118863

Cited by 9 publications

(4 citation statements)

References 23 publications

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“…According to the literature, the main reactant involved in the synthesis process of difenoconazole is ethanone, which will result in the final product containing a lot of incompletely reacted ethanone (yield 68%–89%). , Recrystallization, as an inexpensive and efficient separation method, is very suitable for the purification of difenoconazole, which is conducive to its widespread application. So far, no previous solubility of difenoconazole has been reported, and the solubility data obtained from this study not only fills this gap but also provides theoretical support for the recrystallization of difenoconazole. − …”

Section: Introductionmentioning

confidence: 58%

Solubility Measurement and Calculation of Difenoconazole in Several Solvents at 278.15 to 323.15 K

Huang

2023

J. Chem. Eng. Data

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The equilibrium solubility (mole fraction) of difenoconazole in methanol, ethanol, n-propanol, isopropanol, N,N-dimethylformamide (DMF), acetonitrile, acetone, propylene glycol (PG), ethylene glycol (EG), and water and methanol/ethanol/isopropanol/PG + water was measured by isothermal saturation method at 278.15–323.15 K under 101.2 kPa. The solubility of difenoconazole in pure solvents increased with increasing temperature, and the solubility in mixed solvents was proportional to the temperature and the ratio of cosolvents. The solubility of difenoconazole in pure solvents was correlated with the Apelblat, NRTL, and λh models. The Jouyban-Acree (JA), modified Apelblat-Jouyban-Acree (AJA), and van’t Hoff-Jouyban-Acree (VJA) models were applied to calculate the solubility of difenoconazole in mixtures. Solvent effect analysis as a powerful tool was used to estimate solvent–solvent and solvent–solute interactions at the molecular level, and the results showed that nonspecific dipolarity/polarizability interactions were the main influencing factor.

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Section: Introductionmentioning

confidence: 58%

Solubility Measurement and Calculation of Difenoconazole in Several Solvents at 278.15 to 323.15 K

Huang

2023

J. Chem. Eng. Data

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“…The dissolution of solutes in different solvents is generally determined by a combination of factors. Although the analysis result of the solvent effect is that the solute–solvent hydrogen bond interaction promotes the dissolution, aprotic solvents such as DMF show a higher performance due to the influence of the protic, aprotic, and polar properties of the solvents …”

Section: Resultsmentioning

confidence: 99%

“…Although the analysis result of the solvent effect is that the solute−solvent hydrogen bond interaction promotes the dissolution, aprotic solvents such as DMF show a higher performance due to the influence of the protic, aprotic, and polar properties of the solvents. 31 Equation Data Analysis. By means of the Mathcad software, 8-isoquinolinamine solubility was calculated by various models of Supporting Information accurately.…”

Section: ■ Introductionmentioning

confidence: 99%

Solubility Data, Modeling, and Solvent Effect of 8-Isoquinolinamine in Four Mixed Solvents and Ten Monosolvents from 278.15 to 323.15 K

Yao

2022

J. Chem. Eng. Data

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The equilibrium solubility of 8-isoquinolinamine in methanol, ethanol, n-propanol, isopropanol, N,N-dimethylformamide (DMF), acetonitrile, acetone, propylene glycol (PG), ethylene glycol (EG), and water, and aqueous mixtures of methanol/ethanol/n-propanol/isopropanol plus water was experimentally measured by the isothermal saturation method at 278.15–323.15 K under 101.2 kPa. The mole fractions of 8-isoquinolinamine in monosolvents were obtained to be maximum in neat DMF. For the four binary mixed solvent systems, the amount of 8-isoquinolinamine dissolved in n-propanol + water is more than that in the other three systems. The mole fractions of 8-isoquinolinamine in pure solvents were correlated using the Apelblat model, van’t Hoff model, and Wilson model, and the calculated value of the Apelblat model was the closest to the experimental value. The Jouyban–Acree model, modified Apelblat–Jouyban–Acree model, and van’t Hoff–Jouyban–Acree model were applied to calculate the solubility of 8-isoquinolinamine in the four solvent mixtures. The feedback obtained by comparing the experimental data with the calculated data is that the calculated data from the Jouyban–Acree model was relatively close to the experimental results. Solvent effects as a powerful tool can be used to estimate interactions at the molecular level, and the results showed that solvent–solvent intermolecular interactions contribute to dissolution. van’t Hoff plots are adopted as a method to show the relationship between ln(x) and 1/T.

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“…There are numerous publications regarding studies of the dissolution of a number of active substances in various mixed solvents: meloxicam in mixtures ethylene glycol -water and PG -ethanol [17]; mesalazine in ternary systems ethanol -PG -water [18]; nicotinamide in mixtures water -ethanol and water -PG [19]; caffeine in mixtures N-MP -PG [20]; lifitegrast in mixed solvents containing DME, glycerin, PEG 400, PG and water [21]; carvedilol in the ternary system water -choline chloride -PG [22]; paracetamol in mixed solvents water -ethanol and water -PG [23]; ketoconazole in mixtures ethanol -PG [24]; acetaminophen in mixed solvents containing ethanol, PG and water [25]; curcumin in four mixed solvents: water -ethanol, water -n-propanol, water -isopropyl alcohol, water -PG [26]; sodium phenytoin in mixed solvents PG -water [27]; sulfapyridine in mixed solvents water -PG [28] and sulfadiazine in binary mixtures PEG 400 -water [29]; deferiprone in mixed solvents water -ethylene glycol, water -PG and water -PEG 400 [30]; amlodipine besylate in mixed solvents PEG 400 -water [31]; fluphenazine decanoate in aqueous solutions of PEG 400 or PEG 600 [32].…”

Section: Introductionmentioning

confidence: 99%

Influence of physicochemical properties and structure of mixed solvents propylene glycol – macrogol 400 on their in vitro release

Bezuglaya

Krasnopyorova

Liapunova

et al. 2023

SR: PS

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Aim. To study the density and dynamic viscosity of the mixed solvents propylene glycol (PG) – macrogol 400 (M400), to calculate their excess values and excess activation parameters of viscous flow, to evaluate the features of the structure of the mixed solvents and its influence on the in vitro release of PG and M400. Materials and methods. The mixed solvents PG - M400 were studied over the entire concentration range at temperatures from 293.15 to 313.15 K. The density and dynamic viscosity were determined, and the excess density, excess dynamic viscosity, activation parameters of viscous flow, and excess activation parameters of viscous flow were calculated. The in vitro release of PG and M400 from the mixed solvents was studied using vertical diffusion cells. The content of PG and M400 in the receptor medium was determined by gas chromatography using validated analytical procedures. The release rate, cumulative content, percentage of released PG or M400, coefficients of correlation and coefficients of determination were calculated. Results. The isotherms of excess density and excess dynamic viscosity of the mixed solvents PG-M400 pass through a maximum. The enthalpy makes the main contribution to the free activation energy of the viscous flow. The excess free energy is positive and has small values; the values of the excess entropy and excess enthalpy are negative, and the isotherms have the minimum at PG concentrations of 70‑75mol %. The release parameters of M400 are greater in binary mixtures where the M400 structure predominates. At PG content of ~75 mol %, the release parameters for PG and M400 are identical. With the increase in PG content above 75 mol %, when the PG structure predominates in the system, the release parameters of PG increase dramatically, and the release parameters of M400 decrease sharply. Conclusions. The structure of the binary system PG – M400 depends on its composition. Based on the isotherms of excess activation of viscous flow, it is possible to differentiate the areas where the structure of PG or the structure of M400 dominates, or the mixed structure of the binary solvent prevails. The in vitro release parameters for PG and M400 depend on the structure of the mixed solvents. The greatest difference in the release parameters of PG and M400 was observed in the area where the structure of PG dominates

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Solubility of meloxicam in ethylene glycol-water and propylene glycol-ethanol mixtures: Experimental determination and thermodynamic analysis

Cited by 9 publications

References 23 publications

Solubility Measurement and Calculation of Difenoconazole in Several Solvents at 278.15 to 323.15 K

Solubility Measurement and Calculation of Difenoconazole in Several Solvents at 278.15 to 323.15 K

Solubility Data, Modeling, and Solvent Effect of 8-Isoquinolinamine in Four Mixed Solvents and Ten Monosolvents from 278.15 to 323.15 K

Influence of physicochemical properties and structure of mixed solvents propylene glycol – macrogol 400 on their in vitro release

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