Literature DB >> 14644581

Development and evaluation of bio-dissolution systems capable of detecting the food effect on a polysaccharide-based matrix system.

Xiaohong Mu1, Michael J Tobyn, John N Staniforth.   

Abstract

Methods are proposed and tested for mimicking the in vitro food effect on controlled release dosage forms, using USP dissolution apparatus 3. Using in vivo data a pH and time profile was constructed, and the methods utilized either presoaking in peanut oil or continuous oil contact to mimic the presence of a high fat meal. A water soluble drug (propranolol hydrochloride, class 1 by BCS) was used as a model material. Both methods were able to confirm that a labile multiparticulate system (Inderal LA) was susceptible to such in vitro effects. A hydrocolloid matrix tablet showed low susceptibility to either technique. There was a good correlation between methods, which may indicate that the oil presoaking method, which is less time consuming to carry out and leads to more simple subsequent analysis, may be sufficient to identify dosage forms susceptible to physical food effects.

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Year:  2003        PMID: 14644581     DOI: 10.1016/j.jconrel.2003.08.013

Source DB:  PubMed          Journal:  J Control Release        ISSN: 0168-3659            Impact factor:   9.776


  3 in total

1.  Bio-dis and the paddle dissolution apparatuses applied to the release characterization of ketoprofen from hypromellose matrices.

Authors:  Bianca Ramos Pezzini; Humberto Gomes Ferraz
Journal:  AAPS PharmSciTech       Date:  2009-06-03       Impact factor: 3.246

2.  A novel beads-based dissolution method for the in vitro evaluation of extended release HPMC matrix tablets and the correlation with the in vivo data.

Authors:  Uroš Klančar; Boštjan Markun; Saša Baumgartner; Igor Legen
Journal:  AAPS J       Date:  2012-11-28       Impact factor: 4.009

3.  Determining the polymer threshold amount for achieving robust drug release from HPMC and HPC matrix tablets containing a high-dose BCS class I model drug: in vitro and in vivo studies.

Authors:  Uroš Klančar; Saša Baumgartner; Igor Legen; Polona Smrdel; Nataša Jeraj Kampuš; Dejan Krajcar; Boštjan Markun; Klemen Kočevar
Journal:  AAPS PharmSciTech       Date:  2014-10-18       Impact factor: 3.246

  3 in total

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