Optimization of green spherical agglomeration process based on response surface methodology for preparation of...

Area of Science:

• Pharmaceutical Manufacturing
• Chemical Engineering
• Materials Science

Background:

• Spherical agglomeration (SA) improves particle properties and process efficiency in pharmaceutical manufacturing.
• High nonlinearity in SA presents scalability challenges.
• Optimization of SA parameters is crucial for industrial application.

Purpose of the Study:

• To optimize spherical agglomeration (SA) process parameters for aspirin using a green modeling approach.
• To develop a sustainable SA model through response surface methodology.
• To enhance the physical properties and process efficiency of aspirin particles.

Main Methods:

• Plackett-Burman experiments identified key operating variables for SA.
• A Sustainability Index (STI) was defined to evaluate environmental impact and process efficiency.
• Box-Behnken design investigated the effects of three variables on mean size, yield, and STI.
• Second-order regression equations were developed for objective optimization.

Main Results:

• Optimized SA process parameters yielded aspirin with excellent anti-caking, filtration, and tableting properties.
• The developed green SA model demonstrated improved particle characteristics compared to raw materials.
• The study established a basis for applying environmentally friendly SA technology.

Conclusions:

• The optimized green SA model successfully enhanced aspirin powder properties.
• This approach offers a scalable and sustainable solution for pharmaceutical particle engineering.
• The findings support the broader application of environmentally conscious SA techniques in drug manufacturing.