Response surface method applied to optimization of estradiol permeation in chitosan membranes

Bulletin of materials science

María I Cabrera²  Julio A Luna¹  Luciano Mengatto¹ 

[1] Laboratorio de Química Fina, INTEC â€�?? UNL â€�?? CONICET, Centro Científico Tecnológico, Ruta Nacional 168 Paraje El Pozo, Santa Fe, Argentina$$Laboratorio de Química Fina, INTEC â€�?? UNL â€�?? CONICET, Centro Científico Tecnológico, Ruta Nacional 168 Paraje El Pozo, Santa Fe, ArgentinaLaboratorio de Química Fina, INTEC â€�?? UNL â€�?? CONICET, Centro Científico Tecnológico, Ruta Nacional 168 Paraje El Pozo, Santa Fe, Argentina$$;Laboratorio de Química Fina, INTEC â€�?? UNL â€�?? CONICET, Centro Científico Tecnológico, Ruta Nacional 168 Paraje El Pozo, Santa Fe, Argentina$$Since deceased$$Laboratorio de Química Fina, INTEC â€�?? UNL â€�?? CONICET, Centro Científico Tecnológico, Ruta Nacional 168 Paraje El Pozo, Santa Fe, ArgentinaLaboratorio de Química Fina, INTEC â€�?? UNL â€�?? CONICET, Centro Científico Tecnológico, Ruta Nacional 168 Paraje El Pozo, Santa Fe, Argentina$$Since deceased$$Since deceasedLaboratorio de Química Fina, INTEC â€�?? UNL â€�?? CONICET, Centro Científico Tecnológico, Ruta Nacional 168 Paraje El Pozo, Santa Fe, Argentina$$Since deceased$$

关键词: Chitosan;    dry heat;    mass transport;    membranes;    water sorption.;   

DOI  :  

学科分类：材料工程

来源: Indian Academy of Sciences

【 摘 要 】

The present work deals with the study of estradiol permeation in chitosan membranes. A fractional factorial design was built for the determination of the main factors affecting estradiol permeation. The independent factors analysed were: concentration of chitosan, concentration of cross-linking agent, cross-linking time and thermal treatment. It was found that concentration of chitosan and cross-linking time significantly affected the response. The effects of thermal treatment and concentration of cross-linking agent were not significant. An optimization process based on response surface methodology was carried out in order to develop a statistical model which describes the relationship between active independent variables and estradiol flux. This model can be used to find out a combination of factor levels during response optimization. Possible options for response optimization are to maximize, minimize or move towards a target value.

【 授权许可】

Unknown