Skip to content
2000
Volume 18, Issue 3
  • ISSN: 1573-4129
  • E-ISSN: 1875-676X

Abstract

Abstract: Background: Several analytical approaches for assessing anti-cancer drugs in pharmaceutical formulations have been developed over the last few years. QbD plays an important role in establishing accurate analytical methods to analyze anti-cancer compounds. Quality by Design has become a risk analysis and a science-based strategy, implemented by experimental methods to optimize system output with known variables for data. The influence of highly complex and correlations of input variables on the output reactions of pharmaceutical drugs and empirical approaches have been widely used to explain the design of experiments. Objectives: The efficiency of the anti-cancer drugs and their formulation in the various dosage forms has been made convenient with the help of QbD designs such as Plackett Burman, full factorial design, . QbD contains various steps, which help enhance and sustain the quality of the drug in its dosage form. Conclusion: This review covers a basic, efficient, and accurate analytical approach technique using Quality by Design for anti-cancer drugs. Thus, an outline of the experimental methods used in anti-cancer drugs was identified and discussed.

Loading

Article metrics loading...

/content/journals/cpa/10.2174/1573412917666210531113243
2022-03-01
2025-07-12
Loading full text...

Full text loading...

/content/journals/cpa/10.2174/1573412917666210531113243
Loading

  • Article Type:
    Review Article
Keyword(s): Anti-cancer drugs; Box Behnken design; experiments; factorial design; QbD; variables
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