Solubility and thermodynamics of probenecid-4,4′-azopyridine cocrystal in pure and binary solvents

Shen, Yunli; Zong, Shanghong; Dang, Leping; Wei, Hongyuan

doi:10.1016/j.molliq.2019.111195

Cited by 15 publications

(4 citation statements)

References 25 publications

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“…The general cosolvency model was reported by Mohammad Barzegar-Jalali and his co-workers (24), which is derived from above mentioned models. During last twenty years, the applications of the CNIBS/R-K equation was extended to represent solvent composition and temperature effects on solute solubility and applied to other physico-chemical properties (PCPs) of mixed solvent systems (25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37) and re-named as the Jouyban-Acree model. The model provided reasonably accurate predictions employing experimental data in mono-solvents and a number of data in mixed solvents at various temperatures.…”

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confidence: 99%

Review of the Cosolvency Models for Predicting Drug Solubility in Solvent Mixtures: An Update

Jouyban

2019

J Pharm Pharm Sci

119

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The cosolvency models frequently used in solubility data modeling of drugs in mixed solvents were reviewed and their accuracies for calculating the solubility of solutes were briefly discussed. The models could be used either for correlation of the generated solubility data with temperature, solvent composition etc or for prediction of unmeasured solubility data using interpolation/extrapolation technique. Concerning the correlation results employing a given number of independent variables, the accuracies of the investigated models were comparable, since they could be converted to a single mathematical form, however, the accuracies were decreased when models emplyed more independent variables. The accurate correlative models could be employed for prediction purpose and/or screening the experimental solubility data to detect possible outliers. With regard to prediction results, the best predictions were made using the cosolvency models trained by a minimum number of experimental data points and an ab initio accurate prediction is not possible so far and further mathematical efforts are needed to provide such a tool. To connect this gap between available accurate correlative models with the ab initio predictive model, the generally trained models for calculating the solubility of various drugs in different binary mixtures, various drugs in a given binary solvent and also a given drug in various binary solvents at isothermal condition and/or different temperatures were reported. Available accuracy criteria used in the recent publications were reviewed including mean percentage deviation (MPD). The MPD for correlative models is 1-10% whereas the corresponding range for predictive models is 10-80% depend on the model capability and the number of independent variables employed by the model. This is an update for a review article published in this journal in 2008.

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confidence: 99%

Review of the Cosolvency Models for Predicting Drug Solubility in Solvent Mixtures: An Update

Jouyban

2019

J Pharm Pharm Sci

119

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“…Unlike the macroscopic phase, it exhibits many interesting phenomenon such as a tunneling effect . The preface of surfactant molecules at the nanoscale level has been approved for various field applications, for example, chemical, biochemical, pharmaceutical and industrial. − It is greatly influenced by changing their properties, which depend on the size and shape of surfactant moieties when they are dispersed in solvent media. There is a strong interaction between the adsorption and micellization of surfactant which can be attributed to the surface-to-volume ratio.…”

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confidence: 99%

Effect of Added Counterions on the Micellization of Cetylpyridinium Chloride in the Presence of Acetonitrile–Water Mixture

2019

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Solvent allows the assessment of surfactant aggregates at different compositions, which can provide useful information on surfactant molecules for their fundamental and practical significance. The critical micelle concentration (cmc) is one of the basic parameters that assists in understanding the aggregation behavior of amphiphiles. In our present studies, the cmc values of CPC are determined using the surface tension method (STM). The adsorption isotherm of CPC in the presence of acetonitrile−water mixture measured by STM is found to be quite unusual compared to that of CPC in an aqueous medium as a result of the change in solvophobicity of the medium. It can be quantified in terms of the Gordon parameter (GP), and the calculated GP value of acetonitrile lies ∼2.74 J m–3 ≥ GP > 1.68 ± 0.01. The present studies envisage that the CPC monomer has two different premicellar and micellar regions of aggregates, which is further confirmed by the addition of different sets of electrolytes. The role of selective counterion pairs (Cl counterion from CPC and X counterions from added electrolyte) in the micellization parameter of CPC has also been studied in detail using Corrin–Harkins and the modified Corrin–Harkins equation. The present studies of the micellization and adsorption behavior of CPC can assist in inducing their different modes of application in the practical world.

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“…Apleblat equation collected from the literature. [9][10][11] Careful examination of the listed MPD values in Table 2 revealed that the proposed model provides reasonably accurate correlations for the solubility of the investigated co-crystals. The model fits all solubility data of a co-crystal in different mono-solvents at various temperatures whereas Apelblat, van't Hoff and λh models fit the solubility of a cocrystal in a given solvent at various temperatures.…”

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confidence: 97%

“…By including these parameters in the van't Hoff equation, the entropic and enthalpic changes during dissolution of a drug in the various mono-solvents are correlated with the mono-solvents' parameters and provide the capability of extension of the applicability of the model to other mono-solvents. The most significant (p < 0.05) independent variables obtained from the regression of the solubility data of three investigated cocrystals (stable co-crystal in solution after equilibration) in the mono-solvents at various temperatures [9][10][11]…”

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confidence: 99%

Simulation of Co-Crystal Solubility in the Mono-Solvents at Different Temperatures

Ali Shayanfar,

Abolghasem Jouyban

2024

SCE

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Solubility and thermodynamics of probenecid-4,4′-azopyridine cocrystal in pure and binary solvents

Cited by 15 publications

References 25 publications

Review of the Cosolvency Models for Predicting Drug Solubility in Solvent Mixtures: An Update

Review of the Cosolvency Models for Predicting Drug Solubility in Solvent Mixtures: An Update

Effect of Added Counterions on the Micellization of Cetylpyridinium Chloride in the Presence of Acetonitrile–Water Mixture

Simulation of Co-Crystal Solubility in the Mono-Solvents at Different Temperatures

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