2008
DOI: 10.1080/03639040701386129
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Development of Extended Zero-Order Release Gliclazide Tablets by Central Composite Design

Abstract: The purpose of this study was to develop an extended release tablet formulation containing gliclazide as a model drug by optimization technique. A central composite design was employed with pH-dependent matrix forming polymers like keltone ® -HVCR (X 1 ) and eudragit ® -EPO (X 2 ) as independent variables. Five dependent variables were considered: hardness, percent drug release after 1 hr, percent drug release after 6 hr, diffusion exponent and time required for 50% of drug release. Response surface methodolog… Show more

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Cited by 18 publications
(9 citation statements)
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References 29 publications
(25 reference statements)
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“…Design Expert software was also used to evaluate the statistical validity of the constructed polynomial equations by performing one-way analysis of variance (ANOVA), as shown in Tables VI, VII, and VIII for Y 1 , Y 2 , and Y 3 , respectively. Using a 1.414% significance level, a model is considered significant if the P-value (significance probability value) is less than 0.05 (Shah et al, 2009;Vijayalakshmi et al, 2008). The slowing effect of both independent variables X 1 (CP) and X 2 (SCMC) is depicted in Equation 6, which shows that both polymers have a negative effect on Y 1 , with a slightly more negative effect in the case of SCMC, confirming its release rate slowing ability.…”
Section: Mathematical Modelingmentioning
confidence: 87%
“…Design Expert software was also used to evaluate the statistical validity of the constructed polynomial equations by performing one-way analysis of variance (ANOVA), as shown in Tables VI, VII, and VIII for Y 1 , Y 2 , and Y 3 , respectively. Using a 1.414% significance level, a model is considered significant if the P-value (significance probability value) is less than 0.05 (Shah et al, 2009;Vijayalakshmi et al, 2008). The slowing effect of both independent variables X 1 (CP) and X 2 (SCMC) is depicted in Equation 6, which shows that both polymers have a negative effect on Y 1 , with a slightly more negative effect in the case of SCMC, confirming its release rate slowing ability.…”
Section: Mathematical Modelingmentioning
confidence: 87%
“…A response surface type Central Composite Design was employed using Design-Expert Software (Version 7.0.0 Stat-Ease Inc., Minneapolis, USA). Independent factors are HPMC K100M (X1) and Eudragit RL100(X2) concentrations at three levels [13,14]. Weight Variation, Folding Endurance, Flatness, pH of patches, % Moisture Content, % Moisture uptake, % Elongation, % Drug Content & % Drug Release after 14 hours were kept as dependent variables [13,14].…”
Section: Experimental Designmentioning
confidence: 99%
“…Independent factors are HPMC K100M (X1) and Eudragit RL100(X2) concentrations at three levels [13,14]. Weight Variation, Folding Endurance, Flatness, pH of patches, % Moisture Content, % Moisture uptake, % Elongation, % Drug Content & % Drug Release after 14 hours were kept as dependent variables [13,14]. The different formulation of Nateglinide Transdermal Patches is as shown in Table-1.…”
Section: Experimental Designmentioning
confidence: 99%
“…All the response variables are fitted to a quadratic model and regression analysis was preformed to obtain the quantitative relationships between the dependent (i.e., drug release rate) and independent variables such as amount of ingredient needed, tablet hardness, amount of coating, etc. [10]. With the cited advantages, D-optimal design with a polynomial quadratic statistical model instead of a quadratic model was used in this study.…”
Section: Introductionmentioning
confidence: 99%
“…In 2008, Vijayalakshmi et al [10] utilized a central composite design to develop an extended release tablet formulation of gliclazide with pH dependent matrix forming polymers like Keltone ® HVCR (sodium alginate) (X 1 ) and Eudragit ® EPO (X 2 ) as independent variables. Five dependent variables were considered: hardness, percent of drug release after 1 hour, percent of drug release after 6 hours, diffusion exponent and the time required for 50% drug release.…”
Section: Introductionmentioning
confidence: 99%