Advanced AI modeling and optimization for determination of pharmaceutical solubility in supercritical processing for production of nanosized drug particles-Reference-Cited by-同舟云学术

Advanced AI modeling and optimization for determination of pharmaceutical solubility in supercritical processing for production of nanosized drug particles

Published:2023-09 Issue: Volume:49 Page:103199
ISSN:2214-157X
Container-title:Case Studies in Thermal Engineering
language:en
Short-container-title:Case Studies in Thermal Engineering

Author:

Obaidullah Ahmad J.

Funder

King Saud University

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Engineering (miscellaneous)

Reference37 articles.

1. Solubility of ibuprofen in supercritical carbon dioxide;Kuznetsova;Russ. J. Phys. Chem. B,2013

2. Development and validation of machine learning models for prediction of nanomedicine solubility in supercritical solvent for advanced pharmaceutical manufacturing;Liu;J. Mol. Liq.,2022

3. Supercritical carbon dioxide extraction of pomegranate (Punica granatum L.) seed oil: kinetic modelling and solubility evaluation;Natolino;J. Supercrit. Fluids,2019

4. Multi support vector models to estimate solubility of Busulfan drug in supercritical carbon dioxide;Zhao;J. Mol. Liq.,2022

5. Continuous nanonization of lonidamine by modified-rapid expansion of supercritical solution process;Chen;J. Supercrit. Fluids,2018

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