Skip to content
2000
Volume 3, Issue 2
  • ISSN: 2210-3031
  • E-ISSN: 2210-304X

Abstract

Optimization of experiments, such as those used in drug discovery is useful for saving scientific resources. As bioavailability, practical mass production criteria of process and product reproducibility are foremost requirements of any final product and to meet these requirements optimization of production process is a necessary step. The main goal of this chapter is to provide different approaches of optimization and important features, strengths and limitations of optimization techniques like factorial design, Taguchi design, response surface methodology, simplex lattice design that used for the optimization of fast dissolving drug delivery systems. Factorial design is the design of choice for simultaneous determination of the effect of several factors and their interactions while Taguchi method reduces the variation in a process through robust design of experiments. Response surface methodology is a collection of statistical and mathematical techniques useful for developing, improving and optimizing processes. Simplex lattice can be used to determine the relative proportion of ingredients and optimizes a formulation with respect to specified variables.

Loading

Article metrics loading...

/content/journals/ddl/10.2174/2210304x113039990001
2013-08-01
2025-10-12
Loading full text...

Full text loading...

/content/journals/ddl/10.2174/2210304x113039990001
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test