Nanomedicine Formulation Using Green Supercritical Processing: Experimental Solubility Measurement and Theoretical Investigation

Arabgol, Fatemeh; Amani, Mitra; Ardestani, Nedasadat Saadati; Sajadian, Seyed Ali

doi:10.1002/ceat.202300398

Cited by 4 publications

(2 citation statements)

References 64 publications

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“…Noteworthily, a crossover point occurs at about 180 bar. As mentioned in previous publications [66, 84–86], there are two competing effects as temperature increases: a linear decrease in density versus an exponential increase in sublimation pressure. Therefore, beyond 180 bar, the exponential increase of the sublimation pressure with temperature dominates over the density effect and, thus, the solubility is higher at higher temperatures.…”

Section: Resultsmentioning

confidence: 96%

Measurement and Modeling of the Solubility of Mebeverine Hydrochloride in Supercritical Carbon Dioxide

Sajadian,

Esfandiari,

Saadati Ardestani

et al. 2024

Chem Eng & Technol

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Mebeverine hydrochloride is an important drug to treat irritable bowel syndrome. The solubility of this drug in supercritical carbon dioxide was measured at temperatures from 35 to 65 °C and pressures from 12 to 30 MPa. Results were between 2.16 and 30.2 ppm by mole. The data were correlated with density‐based models (K‐J, MST, Chrastil, Garlapati and Madras, Bartle et al., and Sparks et al.) and equations of state (Peng‐Robinson, Soave, and Estévez et al. models). The mean relative deviation and corrected correlation coefficient were used to assess the goodness of the models. Based on all ten models, Sparks et al. performed best according to average absolute relative deviation (5.64 %), and Bartle et al. was the best according to Radj (0.997). However, this contribution's main merit is the reported experimental data.

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Section: Resultsmentioning

confidence: 96%

Measurement and Modeling of the Solubility of Mebeverine Hydrochloride in Supercritical Carbon Dioxide

Sajadian,

Esfandiari,

Saadati Ardestani

et al. 2024

Chem Eng & Technol

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“…The empirical models represent the initial and straightforward models extensively utilized to correlate the supercritical solubility of a variety of materials in binary and triple supercritical systems. Numerous researchers have previously validated the accuracy and reliability of these models in correlating supercritical solubility data for diverse compounds. ,− …”

Section: Experimental Partmentioning

confidence: 99%

Investigating the Influence of Cosolvents on the Solubility of Febuxostat in Supercritical CO₂: Experimental Analysis and Artificial Intelligence Study

Alsawad,

Mohammad AlHamad,

Rodriguez-Benites

et al. 2024

J. Chem. Eng. Data

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Assessing the solubility of pharmaceutical compounds in supercritical carbon dioxide (scCO 2 ) is a fundamental prerequisite for advancing the application of supercritical technologies in the pharmaceutical sector. The supercritical solubility of Febuxostat, a drug with limited solubility often prescribed for gout patients to lower blood uric acid levels, has previously been studied within the pressure and temperature ranges of 12−27 MPa and 308−338 K, exhibiting a mole fraction range of 0.05 × 10 −4 −7.42 × 10 −4 . This study explores the influence of various cosolvents, namely, ethanol, acetone, and dimethyl sulfoxide (DMSO), on the supercritical solubility of Febuxostat under comparable conditions. Results indicate solubility within the mole fraction range of 0.180 × 10 −4 −26.658 × 10 −4 for ethanol, 0.120 × 10 −4 −14.810 × 10 −4 for acetone, and 0.108 × 10 −4 −14.366 × 10 −4 for DMSO, respectively. Ethanol exhibits the most substantial impact, enhancing the supercritical solubility of Febuxostat by approximately 2.4−3.8 times, while acetone and DMSO contribute to an increase of approximately 2−2.5 times. Furthermore, the study employs empirical models and an artificial neural network (ANN) approach to theoretically investigate the supercritical solubility of Febuxostat with these cosolvents. Among the empirical models, the Jouyban model demonstrates the most accurate correlation for the solubility data of all cosolvents. Moreover, the ANN model demonstrates exceptional accuracy in forecasting the solubility of Febuxostat, with a mean AARD % of 3.207% and R adj of 0.993 across all experimental measurements for Febuxostat solubility in scCO 2 + ethanol, scCO 2 + acetone, and scCO 2 + DMSO solvents.

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Equilibrium adsorption of diethyl ketone on activated carbon in a supercritical CO2 environment: Measurements and thermodynamic modeling

Ushiki,

Tahara

2024

Journal of CO2 Utilization

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Nanomedicine Formulation Using Green Supercritical Processing: Experimental Solubility Measurement and Theoretical Investigation

Cited by 4 publications

References 64 publications

Measurement and Modeling of the Solubility of Mebeverine Hydrochloride in Supercritical Carbon Dioxide

Measurement and Modeling of the Solubility of Mebeverine Hydrochloride in Supercritical Carbon Dioxide

Investigating the Influence of Cosolvents on the Solubility of Febuxostat in Supercritical CO₂: Experimental Analysis and Artificial Intelligence Study

Equilibrium adsorption of diethyl ketone on activated carbon in a supercritical CO2 environment: Measurements and thermodynamic modeling

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Nanomedicine Formulation Using Green Supercritical Processing: Experimental Solubility Measurement and Theoretical Investigation

Cited by 4 publications

References 64 publications

Measurement and Modeling of the Solubility of Mebeverine Hydrochloride in Supercritical Carbon Dioxide

Measurement and Modeling of the Solubility of Mebeverine Hydrochloride in Supercritical Carbon Dioxide

Investigating the Influence of Cosolvents on the Solubility of Febuxostat in Supercritical CO2: Experimental Analysis and Artificial Intelligence Study

Equilibrium adsorption of diethyl ketone on activated carbon in a supercritical CO2 environment: Measurements and thermodynamic modeling

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Investigating the Influence of Cosolvents on the Solubility of Febuxostat in Supercritical CO₂: Experimental Analysis and Artificial Intelligence Study