Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22360
Title: Implementation of quality by design principles in the development of microsponges as drug delivery carriers: Identification and optimization of critical factors using multivariate statistical analyses and design of experiments studies
Authors: Simonoska Crcarevska, Maja
Dimitrovska, Aneta 
Sibinovska, Nadica 
Mladenovska, Kristina 
Slavevska Raicki, Renata
Glavas Dodov, Marija
Issue Date: 15-Jul-2015
Publisher: Elsevier BV
Journal: International Journal of Pharmaceutics
Abstract: Microsponges drug delivery system (MDDC) was prepared by double emulsion-solvent-diffusion technique using rotor-stator homogenization. Quality by design (QbD) concept was implemented for the development of MDDC with potential to be incorporated into semisolid dosage form (gel). Quality target product profile (QTPP) and critical quality attributes (CQA) were defined and identified, accordingly. Critical material attributes (CMA) and Critical process parameters (CPP) were identified using quality risk management (QRM) tool, failure mode, effects and criticality analysis (FMECA). CMA and CPP were identified based on results obtained from principal component analysis (PCA-X&Y) and partial least squares (PLS) statistical analysis along with literature data, product and process knowledge and understanding. FMECA identified amount of ethylcellulose, chitosan, acetone, dichloromethane, span 80, tween 80 and water ratio in primary/multiple emulsions as CMA and rotation speed and stirrer type used for organic solvent removal as CPP. The relationship between identified CPP and particle size as CQA was described in the design space using design of experiments - one-factor response surface method. Obtained results from statistically designed experiments enabled establishment of mathematical models and equations that were used for detailed characterization of influence of identified CPP upon MDDC particle size and particle size distribution and their subsequent optimization.
URI: http://hdl.handle.net/20.500.12188/22360
DOI: 10.1016/j.ijpharm.2015.04.038
Appears in Collections:Faculty of Pharmacy: Journal Articles

Show full item record

Page view(s)

57
checked on Apr 24, 2024

Google ScholarTM

Check

Altmetric


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