Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/22360
DC FieldValueLanguage
dc.contributor.authorSimonoska Crcarevska, Majaen_US
dc.contributor.authorDimitrovska, Anetaen_US
dc.contributor.authorSibinovska, Nadicaen_US
dc.contributor.authorMladenovska, Kristinaen_US
dc.contributor.authorSlavevska Raicki, Renataen_US
dc.contributor.authorGlavas Dodov, Marijaen_US
dc.date.accessioned2022-08-17T06:53:01Z-
dc.date.available2022-08-17T06:53:01Z-
dc.date.issued2015-07-15-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/22360-
dc.description.abstractMicrosponges 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.en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.ispartofInternational Journal of Pharmaceuticsen_US
dc.titleImplementation 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 studiesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ijpharm.2015.04.038-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0378517315003464?httpAccept=text/xml-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S0378517315003464?httpAccept=text/plain-
dc.identifier.volume489-
dc.identifier.issue1-2-
dc.identifier.fpage58-
dc.identifier.lpage72-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Pharmacy-
crisitem.author.deptFaculty of Medicine-
crisitem.author.deptFaculty of Pharmacy-
Appears in Collections:Faculty of Pharmacy: Journal Articles
Show simple item record

Page view(s)

58
checked on May 3, 2024

Google ScholarTM

Check

Altmetric


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