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Advanced Process Modeling and Simulation for Complex Bioprocess Networks

The biopharmaceutical industry requires advanced modeling techniques to manage complex, non-linear bioprocess networks. By integrating multi-physics, multi-scale, and data-driven approaches, engineers can create ‘Digital Twins’ for predictive control, ensuring robust and scalable manufacturing.

Rational Scaffold Design for Enhanced Protein Stability

This article explores the principles and mechanisms of rational scaffold design, detailing how targeted modifications like cross-linking and disulfide engineering enhance protein stability and operational robustness.

Advanced Predictive Control for Complex Bioprocesses

Traditional PID controllers struggle with the multivariable, nonlinear nature of bioprocesses. Advanced techniques like Model Predictive Control (MPC) are necessary to achieve proactive, predictive control, optimizing yield and stability by managing coupled parameters like DO,… 

Optimizing Gas-Liquid Mass Transfer in Bioreactors

Achieving high cell density and maximizing product yield in bioreactors hinges on optimizing the gas-liquid mass transfer rate. This process, governed by the volumetric mass transfer coefficient ($k_L a$), is critical because the reaction rate…