Statistical modeling of protein spray drying at the lab scale

Area of Science:

• * Pharmaceutical Sciences
• * Materials Science
• * Chemical Engineering

Background:

• * Spray drying is a key technique for producing protein powders with desired characteristics.
• * Understanding formulation and process variables is crucial for controlling powder properties like particle size and yield.
• * Bovine serum albumin (BSA) serves as a model protein for investigating spray drying parameters.

Purpose of the Study:

• * To investigate the influence of formulation and process variables on spray-dried bovine serum albumin (BSA) particle characteristics.
• * To identify critical parameters affecting particle size, product yield, and outlet temperature.
• * To develop mathematical models for predicting spray drying outcomes.

Main Methods:

• * Employed a partial factorial design of experiments to study formulation (concentration, zinc:protein ratio) and process variables (inlet temperature, feed rate, airflow, nitrogen pressure).
• * Utilized statistical data analysis (F ratios) to rank the importance of input variables for each powder characteristic.
• * Constructed mathematical models to represent input-output relationships in the spray drying process.

Main Results:

• * Protein concentration and atomizing nitrogen pressure were identified as the most influential variables for BSA particle size.
• * Protein concentration emerged as the critical variable for determining product yield.
• * Inlet temperature and liquid feed rate were the primary drivers of outlet temperature.

Conclusions:

• * Formulation and process parameters significantly influence spray-dried protein powder characteristics.
• * Key variables like protein concentration and atomizing nitrogen pressure can be manipulated to control particle size and yield.
• * Developed mathematical models offer valuable insights into optimizing the spray drying process for BSA.