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Comparative analyses of response surface methodology and artificial neural networks on incorporating tetracaine into liposomes BJPS
Pereira,Ana Karina Vidal; Barbosa,Raquel de Melo; Fernandes,Marcelo Augusto Costa; Finkler,Leandro; Finkler,Christine Lamenha Luna.
This study evaluated the incorporation of tetracaine into liposomes by RSM (Response Surface Methodology) and ANN (Artificial Neural Networks) based models. RCCD (rotational central composite design) and ANN were performed to optimize the sonication conditions of particles containing 100 % lipid. Laser light scattering was used to perform measure hydrodynamic radius and size distribution of vesicles. The liposomal formulations were analyzed by incorporating the drug into the hydrophilic phase or the lipophilic phase. RCCD and ANN were conducted, having the lipid/cholesterol ratio and concentration of tetracaine as variables investigated and, the encapsulation efficiency and mean diameter of the vesicles as response variables. The optimum sonication...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Local anesthetics; Liposomes; Response Surface Methodology; Artificial Neural Networks.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-82502020000100517
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