Optimization of pH-independent release of nicardipine hydrochloride extended-release matrix tablets using response surface methodology

2005 ◽  
Vol 289 (1-2) ◽  
pp. 87-95 ◽  
Author(s):  
Yaw-Bin Huang ◽  
Yi-Hung Tsai ◽  
Shu-Hui Lee ◽  
Jui-Sheng Chang ◽  
Pao-Chu Wu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Extended Release ◽  
Matrix Tablets

scholarly journals Use of Response Surface Methodology in the Formulation and Optimization of Bisoprolol Fumarate Matrix Tablets for Sustained Drug Release

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Jadupati Malakar ◽  
Amit Kumar Nayak ◽  
Soumita Goswami
Keyword(s):  
Response Surface Methodology ◽  
Drug Release ◽  
Sustained Release ◽  
Response Surface ◽  
Diffusion Mechanism ◽  
Matrix Tablets ◽  
Fickian Diffusion ◽  
Order Model ◽  
Sustained Drug Release ◽  
Predicted Values

The aim of this investigation was to develop and optimize bisoprolol fumarate matrix tablets for sustained release application by response surface methodology based on 23 factorial design. The effects of the amounts of calcium alginate, HPMC K4M, and Carbopol 943 in bisoprolol fumarate matrix tablets on the properties of bisoprolol fumarate sustained release matrix tablets like drug release and hardness were analyzed and optimized. The observed responses were coincided well with the predicted values by the experimental design. The optimized bisoprolol fumarate matrix tablets showed prolonged sustained release of bisoprolol fumarate over 6 hours. These matrix tablets followed the first-order model with anomalous (non-Fickian) diffusion mechanism.

Role of Aminated derivatives of Natural Gum in Release Modulating Matrix Systems of Losartan Potassium: Optimization of Formulation using Box-Behnken Design

2021 ◽  
pp. 73-84
Author(s):  
Shankar B. Kalbhare ◽  
Vivek Kumar Redasani ◽  
Mandar J. Bhandwalkar ◽  
Rohit K. Pawar ◽  
Avinash M. Bhagwat
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Research Work ◽  
In Vitro Release ◽  
Kinetic Equations ◽  
Matrix Tablets ◽  
Losartan Potassium ◽  
Burst Release ◽  
Fenugreek Gum

The aim of the present research work was to systemically device a model of factors that would yield an optimized release modulating dosage form of an anti-hypertensive agent, losartan potassium, using response surface methodology by employing a 3-factor, 3-level Box-Behnken statistical design. Independent variables studied were the amount of the release retardant polymers – aminated fenugreek gum (X1), aminated tamarind gum (X2) and aminated xanthan gum (X3). The dependent variables were the burst release in 15 min (Y1), cumulative percentage release of drug after 60 min (Y2) and hardness (Y3) of the tablets with constraints on the Y2 = 31–35%. Statistical validity of the polynomials was established. In vitro release and swelling studies were carried out for the optimized formulation and the data were fitted to kinetic equations. The polynomial mathematical relationship obtained Y2=32.91-2.29X1-5.68X2-0.97X3+0.20X1X3-0.005X2X3-0.92X12-1.89X22 explained the main and quadratic effects, and the interactions of factors influencing the drug release from matrix tablets. The adjusted (0.9842) and predicted values (0.9600) of r2 for Y2 were in close agreement. Validation of the optimization study indicated high degree of prognostic ability of response surface methodology. The Box-Behnken experimental design facilitated the formulation and optimization of release modulating matrix systems of losartan potassium.

Formulation and evaluation of natural gum-based sustained release matrix tablets of flurbiprofen using response surface methodology

2009 ◽  
Vol 35 (12) ◽  
pp. 1470-1478 ◽  
Author(s):  
Syed Nisar Hussain Shah ◽  
Sajid Asghar ◽  
Muhammad Akram Choudhry ◽  
Muhammad Sajid Hamid Akash ◽  
Nisar ur Rehman ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Sustained Release ◽  
Response Surface ◽  
Matrix Tablets ◽  
Natural Gum

Formulation and evaluation of natural gum-based sustained release matrix tablets of flurbiprofen using response surface methodology

2009 ◽  
Vol 00 (00) ◽  
pp. 090730035508060-9
Author(s):  
Syed Nisar Hussain Shah ◽  
Sajid Asghar ◽  
Muhammad Akram Choudhry ◽  
Muhammad Sajid Hamid Akash ◽  
Nisar ur Rehman ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Sustained Release ◽  
Response Surface ◽  
Matrix Tablets ◽  
Natural Gum

scholarly journals Formulation and in vitro evaluation of mucoadhesive controlled release matrix tablets of flurbiprofen using response surface methodology

2014 ◽  
Vol 50 (3) ◽  
pp. 493-504 ◽  
Author(s):  
Ikrima Khalid ◽  
Mahmood Ahmad ◽  
Muhammad Usman Minhas ◽  
Muhammad Sohail
Keyword(s):  
Response Surface Methodology ◽  
Controlled Release ◽  
Drug Release ◽  
Response Surface ◽  
Release Profile ◽  
Matrix Tablets ◽  
In Vitro Dissolution ◽  
Direct Compression ◽  
Response Variables

The objective of the current study was to formulate mucoadhesive controlled release matrix tablets of flurbiprofen and to optimize its drug release profile and bioadhesion using response surface methodology. Tablets were prepared via a direct compression technique and evaluated for in vitro dissolution parameters and bioadhesive strength. A central composite design for two factors at five levels each was employed for the study. Carbopol 934 and sodium carboxymethylcellulose were taken as independent variables. Fourier transform infrared (FTIR) spectroscopy studies were performed to observe the stability of the drug during direct compression and to check for a drug-polymer interaction. Various kinetic models were applied to evaluate drug release from the polymers. Contour and response surface plots were also drawn to portray the relationship between the independent and response variables. Mucoadhesive tablets of flurbiprofen exhibited non-Fickian drug release kinetics extending towards zero-order, with some formulations (F3, F8, and F9) reaching super case II transport, as the value of the release rate exponent (n) varied between 0.584 and 1.104. Polynomial mathematical models, generated for various response variables, were found to be statistically significant (P<0.05). The study also helped to find the drug's optimum formulation with excellent bioadhesive strength. Suitable combinations of two polymers provided adequate release profile, while carbopol 934 produced more bioadhesion.

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