Literature DB >> 17090443

D-optimal mixture design: optimization of ternary matrix blends for controlled zero-order drug release from oral dosage forms.

Yasser El-Malah1, Sami Nazzal, Nile M Khanfar.   

Abstract

The objective of the present study was to develop a tablet formulation with a zero-order drug release profile based on a balanced blend of three matrix ingredients. To accomplish this goal, a 17-run, three-factor, two-level D-Optimal mixture design was employed to evaluate the effect of Polyox (X1), Carbopol (X2), and lactose (X3) concentrations on the release rate of theophylline from the matrices. Tablets were prepared by direct compression and were subjected to an in vitro dissolution study in phosphate buffer at pH 7.2. Polynomial models were generated for the responses Y4 (percent released in 8 h) and Y6 (similarity factor or f2). Fitted models were used to predict the composition of a formulation that would have a similar dissolution profile to an ideal zero-order release at a rate of 8.33% per hour. When tested, dissolution profile of the optimized formulation was comparable to the reference profile (f2 was 74.2, and n [release exponent] was 0.9). This study demonstrated that a balanced blend of matrix ingredients could be used to attain a zero-order release profile. Optimization was feasible by the application of response surface methodology, which proved efficient in designing controlled-release dosage forms.

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Year:  2006        PMID: 17090443     DOI: 10.1080/03639040600685167

Source DB:  PubMed          Journal:  Drug Dev Ind Pharm        ISSN: 0363-9045            Impact factor:   3.225


  7 in total

1.  Optimization by Response Surface Methodology of Confluent and Aligned Cellular Monolayers for Nerve Guidance.

Authors:  Celinda M Kofron; Diane Hoffman-Kim
Journal:  Cell Mol Bioeng       Date:  2009-12       Impact factor: 2.321

2.  A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models.

Authors:  Weng Kee Wong; Ray-Bing Chen; Chien-Chih Huang; Weichung Wang
Journal:  PLoS One       Date:  2015-06-19       Impact factor: 3.240

3.  D-optimal mixture design optimized solid formulation containing fruits extracts of Momordica charantia and Abelmoschus esculentus.

Authors:  Emanuel L Peter; Crispin D Sesaazi
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

4.  Multiple-reaction monitoring (MRM) LC-MS/MS quantitation of venlafaxine and its O-desmethyl metabolite for a preclinical pharmacokinetic study in rabbits.

Authors:  Abdul Aala Fazli; Bala Krishna Panigrahy; Varinder Kumar; Syed Naiem Raza; Bilal Ahmad Zarger; Taha Umair Wani; Shavej Ahmad; Arshad Khuroo; Nisar Ahmad Khan
Journal:  Sci Rep       Date:  2022-06-04       Impact factor: 4.996

5.  Development and optimization of solid lipid nanoparticle formulation for ophthalmic delivery of chloramphenicol using a Box-Behnken design.

Authors:  Jifu Hao; Xinsheng Fang; Yanfang Zhou; Jianzhu Wang; Fengguang Guo; Fei Li; Xinsheng Peng
Journal:  Int J Nanomedicine       Date:  2011-04-06

6.  Optimization of maize-millet based soy fortified composite flour for preparation of RTE extruded products using D-optimal mixture design.

Authors:  Chandrahas Sahu; S Patel
Journal:  J Food Sci Technol       Date:  2020-09-03       Impact factor: 3.117

7.  Process optimization and evaluation of novel baicalin solid nanocrystals.

Authors:  Peng-Fei Yue; Yu Li; Jing Wan; Yong Wang; Ming Yang; Wei-Feng Zhu; Chang-Hong Wang; Hai-Long Yuan
Journal:  Int J Nanomedicine       Date:  2013-08-09
  7 in total

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