These are the measurable characteristics of the method output (e.g., resolution, retention time, peak tailing) that must be controlled to achieve the goals set in the ATP.

These are the input variables that significantly impact method performance, such as mobile phase pH, flow rate, or column temperature in chromatography.

A Review on Quality by Design Approach in Analytical Methods

The success of an AQbD approach relies on several interdependent core elements:

Implementing AQbD typically follows a structured, three-stage lifecycle model aligned with guidelines like USP and ICH Q14 :

This is a multidimensional space based on method factors (CMPs) that provides suitable method performance. Operating within this range ensures robustness and regulatory flexibility. Stages of the AQbD Workflow