scholarly journals Box-Behnken experimental design in the development of pectin-compritol ATO 888 compression coated colon targeted drug delivery of mesalamine

2010 ◽  
Vol 60 (1) ◽  
pp. 39-54 ◽  
Author(s):  
Nirav Patel ◽  
Jayvadan Patel ◽  
Shreeraj Shah

Box-Behnken experimental design in the development of pectin-compritol ATO 888 compression coated colon targeted drug delivery of mesalamineThe aim of this study was to investigate the combined influence of 3 independent variables in the compression coated tablet of mesalamine for ulcerative colitis. A 3-factor, 3-level Box-Behnken design was used to derive a second order polynomial equation and construct contour plots to predict responses. The independent variables selected were: percentage of polymers (pectin and compritol ATO 888) in compression coating (X1), coating mass (X2) and coating force (X3). Fifteen batches were prepared and evaluated for percent of drug released in 5 h (Y5), time required for 50 % mesalamine to dissolve (t50) with rat cecal (RC) content and without rat cecal content (t50), percent of drug released in 24 h in the presence of rat cecal content (Y24with RC). Transformed values of independent and dependent variables were subjected to multiple regressions to establish a full-model second-order polynomial equation.Fwas calculated to confirm the omission of insignificant terms from the full-model equation. The computer optimization process and contour plots predicted the levels of independent variablesX1,X2, andX3(0, 0.2 and -0.15, respectively) for colon targeting and total percent of drug released up to 24 h.

2013 ◽  
Vol 67 (12) ◽  
pp. 2706-2711 ◽  
Author(s):  
Juan Wang ◽  
Yuan Cao ◽  
Qin Zhong

The aim of this study was to investigate optimum conditions for biological removal of flue gas pretreatment wastewater and achieve maximum elemental sulfur yield. A three-factor, three-level Box–Behnken design was used to derive a second-order polynomial equation and construct contour plots to predict responses. The independent variables selected were hydraulic retention time (X1), inlet sulfate concentration (X2), and air flow (X3). Fifteen batches were done in a biological united system and evaluated for elemental sulfur yield (Y1). The transformed values of the independent variables and Y1 were subjected to a full-model second-order polynomial equation. The equation was modified based on Fisher's F- and probability P-values. The computer optimization process and contour plots predicted the values of independent variables X1, X2 and X3 (16 h, 1,348 mg L−1 and 165 L h−1 respectively), for maximized response of Y1. The experimental results at predicted conditions demonstrate that the modified model equation has good applicability to the practical system.


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