Solubility of dapsone in deep eutectic solvents: Experimental analysis, molecular insights and machine learning predictions.

Jelinski, Tomasz; Przybylek, Maciej; Rózalski, Rafal; Cysewski, Piotr

Jelinski, Tomasz; Przybylek, Maciej; Rózalski, Rafal; Cysewski, Piotr.

Afiliación

Jelinski T; Department of Physical Chemistry, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Poland.
Przybylek M; Department of Physical Chemistry, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Poland.
Rózalski R; Department of Clinical Biochemistry, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Poland.
Cysewski P; Department of Physical Chemistry, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Poland.

Polim Med ; 54(1): 15-25, 2024.

Article en En | MEDLINE | ID: mdl-38197603

Asunto(s)

Dapsona; Disolventes Eutécticos Profundos; Aprendizaje Automático; Solubilidad; Dapsona/química; Disolventes Eutécticos Profundos/química; Termodinámica; Solventes/química

Palabras clave

dapsone; deep eutectic solvents; intermolecular interactions; machine learning; solubility

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Solubilidad / Dapsona / Aprendizaje Automático / Disolventes Eutécticos Profundos Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Polim Med Año: 2024 Tipo del documento: Article País de afiliación: Polonia

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