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Experimental design for determining quantitative structure activity relationship for antibacterial chitosan derivatives.
Sahariah, Priyanka; Snorradóttir, Bergthóra S; Hjálmarsdóttir, Martha Á; Sigurjónsson, Ólafur E; Másson, Már.
Afiliação
  • Sahariah P; Faculty of Pharmaceutical Sciences, School of Health Sciences, University of Iceland, Hofsvallagata 53, IS-107 Reykjavík, Iceland. mmasson@hi.is.
J Mater Chem B ; 4(27): 4762-4770, 2016 Jul 21.
Article em En | MEDLINE | ID: mdl-32263250
Experimental design approach was successfully used to guide the synthesis and determine the structure-activity relationship for antimicrobial derivatives of the biopolymer chitosan. Specialized software with D-optimal design capabilities was used to create a library of chitosan derivatives with optimal structural variation in order to conduct a detailed investigation of the structure-activity relationship. The derivatives contain three substituents: N,N,N-trimethylamine, N-acetyl and N-stearoyl at different degrees of substitution (DS) on the 2-amino group of chitosan. The design matrix consisted of 14 target materials that were synthesized in 'one-pot synthesis' using TBDMS-chitosan as the precursor to allow precise control of the DS. The antibacterial activity (MIC) towards the Gram positive bacteria Staphylococcus aureus and the Gram negative bacteria Escherichia coli, hemolytic activity (HC50) towards human red blood cells and solubility of the chitosan derivatives were used as the responses in the model. The response surface model was refined by removing the interaction terms to improve the statistical significance and predictive power of the model. The investigation showed that materials with DS for trimethylation in the range 0.45-0.65, acetylation in the range 0.08-0.33 and stearoylation in the range 0.22-0.29 were capable of showing high antimicrobial activity, high solubility and low hemolytic activity.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article