Please use this identifier to cite or link to this item:
Type: Artigo
Title: Didanosine-loaded chitosan microspheres optimized by surface-response methodology: A modified “Maximum Likelihood Classification” approach formulation for reverse transcriptase inhibitors
Author: Silva, Classius Ferreira da
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. 1433 mg of ddI/g chitosan), was obtained with 2% (w/v) chitosan and 10% TPP. The microspheres depicted an average diameter of 11.42 μm and ddI was gradually released during 2 h in simulated enteric fluid
Subject: Quitosana
Country: França
Editor: Elsevier
Rights: Fechado
Identifier DOI: 10.1016/j.biopha.2014.12.047
Date Issue: 2015
Appears in Collections:FEQ - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
000351019300009.pdf5.33 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.