Didanosine-loaded chitosan microspheres optimized by surface-response methodology : A modified “Maximum Likelihood Classification” approach formulation for reverse transcriptase inhibitors

Didanosine-loaded chitosan microspheres optimized by surface-response methodology : A modified “Maximum Likelihood Classification” approach formulation for reverse transcriptase inhibitors

Classius Ferreira da Silva, Patrícia Severino, Fernanda Martins, Maria Helena A. Santana, Eliana B. Souto

ARTIGO

Inglês

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...

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

Fechado

Didanosine-loaded chitosan microspheres optimized by surface-response methodology : A modified “Maximum Likelihood Classification” approach formulation for reverse transcriptase inhibitors

Classius Ferreira da Silva, Patrícia Severino, Fernanda Martins, Maria Helena A. Santana, Eliana B. Souto


										

Didanosine-loaded chitosan microspheres optimized by surface-response methodology : A modified “Maximum Likelihood Classification” approach formulation for reverse transcriptase inhibitors

Classius Ferreira da Silva, Patrícia Severino, Fernanda Martins, Maria Helena A. Santana, Eliana B. Souto

    Fontes

    Biomedicine and pharmacotherapy

    Vol. 70 (Mar., 2015), p. 46-52