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Type: Artigo de periódico
Title: Didanosine-loaded Chitosan Microspheres Optimized By Surface-response Methodology: A Modified Maximum Likelihood Classification" Approach Formulation For Reverse Transcriptase Inhibitors."
Author: Ferreira da Silva, Classius
Severino, Patrícia
Martins, Fernanda
Santana, Maria Helena A
Souto, Eliana B
Abstract: Didanosine-loaded chitosan microspheres were developed applying a surface-response methodology and using a modified Maximum Likelihood Classification. The operational conditions were optimized with the aim of maintaining the active form of didanosine (ddI), which is sensitive to acid pH, and to develop a modified and mucoadhesive formulation. The loading of the drug within the chitosan microspheres was carried out by ionotropic gelation technique with sodium tripolyphosphate (TPP) as cross-linking agent and magnesium hydroxide (Mg(OH)2) to assure the stability of ddI. The optimization conditions were set using a surface-response methodology and applying the Maximum Likelihood Classification, where the initial chitosan concentration, TPP and ddI concentration were set as the independent variables. The maximum ddI-loaded in microspheres (i.e. 1433mg of ddI/g chitosan), was obtained with 2% (w/v) chitosan and 10% TPP. The microspheres depicted an average diameter of 11.42μm and ddI was gradually released during 2h in simulated enteric fluid.
Subject: Chitosan
Reverse Transcriptase Inhibitors
Sodium Tripolyphosphate
Surface-response Methodology
Citation: Biomedicine & Pharmacotherapy = Biomédecine & Pharmacothérapie. v. 70, p. 46-52, 2015-Mar.
Rights: fechado
Identifier DOI: 10.1016/j.biopha.2014.12.047
Date Issue: 2015
Appears in Collections:Unicamp - Artigos e Outros Documentos

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