Enhancing quality-by-design through weighted goal programming: a case study on formulation of ultradeformable...

Area of Science:

• Pharmaceutical Sciences
• Formulation Development
• Drug Delivery Systems

Background:

• Pharmaceutical formulation requires advanced tools for quality, safety, and efficacy.
• Quality by Design (QbD) emphasizes early process understanding and control.
• Traditional single-objective optimization methods are often insufficient for complex formulations.

Purpose of the Study:

• To apply Weighted Goal Programming (WGP) as an advanced multi-objective optimization tool.
• To optimize timolol (TM)-loaded nanoliposomes in alignment with QbD principles.
• To compare WGP with the desirability function for pharmaceutical formulation optimization.

Main Methods:

• A six-step optimization process including Design of Experiments (DoE).
• Definition of ideal/anti-ideal points and aspiration levels for six responses.
• Application of WGP and comparison with desirability function, prioritizing balanced deviations.

Main Results:

• WGP yielded a more balanced nanoliposome formulation, optimizing multiple responses simultaneously.
• WGP enhanced control over vesicle size, colloidal stability, and drug entrapment efficiency.
• Comparative analysis confirmed WGP's effectiveness in managing conflicting objectives without oversimplification.

Conclusions:

• WGP is a valuable advanced multi-objective optimization tool for pharmaceutical applications.
• WGP improves upon traditional methods for complex drug delivery systems.
• The WGP approach harmonizes critical attributes, supporting high-quality pharmaceutical product development under QbD.