Measurement and correlation study of silymarin solubility in supercritical carbon dioxide with and without a cosolvent using semi-empirical models and back-propagation artificial neural networks

• Главные авторы: Gang Yang (Автор), Zhe Li (Автор), Qun Shao (Автор), Nianping Feng (Автор)
• Формат: ‌
• Опубликовано: Elsevier, 2017-09-01T00:00:00Z.
• Предметы: article
• Online-ссылка: Connect to this object online.

The solubility data of compounds in supercritical fluids and the correlation between the experimental solubility data and predicted solubility data are crucial to the development of supercritical technologies. In the present work, the solubility data of silymarin (SM) in both pure supercritical carb...