Advanced modeling and intelligence-based evaluation of pharmaceutical nanoparticle preparation using green supercritical processing: Theoretical assessment of solubility

Alshahrani, Saad; Obaidullah, Ahmad J.; Alanazi, Jowaher; Alanazi, Muteb; Alharby, Tareq Nafea; Hani, Umme

doi:10.1016/j.csite.2023.103150

Case Studies in Thermal Engineering

2023

DOI: 10.1016/j.csite.2023.103150

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Advanced modeling and intelligence-based evaluation of pharmaceutical nanoparticle preparation using green supercritical processing: Theoretical assessment of solubility

Saad Alshahrani

Ahmad J. Obaidullah

Jowaher Alanazi

et al.

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Cited by 8 publications

References 32 publications

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A new semi-empirical model for correlation of solubility of ligands in supercritical carbon dioxide

Subashree,

Shruti Krishna,

Pitchaiah

et al. 2024

Chem. Pap.

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The solubility data of task specific ligands in supercritical carbon dioxide medium (scCO2) plays an important role in development of green separation methods for recovery of metal ions. However, experimental determination of solubility of these ligands at different process conditions is difficult, time-intensive and necessitating suitable model predictions. Many models are developed in the literature for the correlation of solubility of liquid and solid solutes in scCO2 medium. However, specific models for solubility correlation of ligands in scCO2 medium are not reported. Hence, in the present study, a new semi-empirical model was proposed to predict the solubility of ligands in scCO2 medium and is a modified version of existing Chrastil model. The correlation ability of new model was compared with existing density based models (Chrastil,

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A new semi-empirical model for correlation of solubility of ligands in supercritical carbon dioxide

Subashree,

Shruti Krishna,

Pitchaiah

et al. 2024

Chem. Pap.

View full text Add to dashboard Cite

show abstract

Data-driven models and comparison for correlation of pharmaceutical solubility in supercritical solvent based on pressure and temperature as inputs

Aldawsari

Mahdi

Alamoudi

2023

Case Studies in Thermal Engineering

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Computational intelligence modeling using Artificial Intelligence and optimization of processing of small-molecule API solubility in supercritical solvent

Obaidullah,

A. Alshammari,

Obidallah

et al. 2023

Case Studies in Thermal Engineering

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Advanced modeling and intelligence-based evaluation of pharmaceutical nanoparticle preparation using green supercritical processing: Theoretical assessment of solubility

Cited by 8 publications

References 32 publications

A new semi-empirical model for correlation of solubility of ligands in supercritical carbon dioxide

A new semi-empirical model for correlation of solubility of ligands in supercritical carbon dioxide

Data-driven models and comparison for correlation of pharmaceutical solubility in supercritical solvent based on pressure and temperature as inputs

Computational intelligence modeling using Artificial Intelligence and optimization of processing of small-molecule API solubility in supercritical solvent

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