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Updated: Jun 17, 2025

Solubility of Hydrophobic Compounds in Aqueous Solution Using Combinations of Self-assembling Peptide and Amino Acid
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通过各种热力学和混合机器学习方法对药品在超临界溶剂中的溶解度进行全面研究

Yang Yu1, Chen Sun2, Wenxiao Jiang3

  • 1Pharmacy Department, Shandong University Qilu Hospital (Qingdao), Shandong, 266035, China.

International journal of pharmaceutics
|August 13, 2024
PubMed
概括

这项研究使用热力学和机器学习模型评估了药物在超临界CO2中的溶解性. 在SRK和UNIQUAC模型中,Febuxostat和Chlorpromazine可溶性预测的准确度很高.

关键词:
扩展的液体模型.混合机器学习是一种混合机器学习.可溶性 溶解度 可溶性 溶解度超临界的二氧化碳.热力学建模热力学建模

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