This article details the application of Model Predictive Control (MPC) to manage complex aquatic systems. MPC utilizes real-time measurements of key parameters like pH, Dissolved Oxygen (DO), and glucose to predict future system states and calculate optimal control actions, ensuring stability and optimal conditions over a defined prediction horizon.

This article details a robust, multi-stage separation train that combines Ultrafiltration (UF) and selective Adsorption chromatography to achieve high-purity bioproduct recovery from complex fermentation broths, overcoming limitations of traditional single-stage methods.

Traditional media formulations are static and fail to account for dynamic metabolic shifts. Metabolomics provides a global, unbiased snapshot of the cellular metabolic state, enabling the identification of rate-limiting factors and allowing for targeted, data-driven media adjustments to maximize cell productivity.

This article explores the complex biochemical mechanisms by which microorganisms degrade various pollutants, detailing the critical roles of electron acceptors and the transition from reductive to oxidative metabolic pathways.

This article explores the critical role of advanced computational modeling, integrating fluid dynamics (CFD) and metabolic kinetics, to optimize large-scale bioreactor performance. By predicting spatial variations and metabolic shifts, engineers can enhance cell viability and product yield.

This article explores the critical role of Computational Fluid Dynamics (CFD) in simulating bioreactor performance. It details how RANS models are used to predict complex flow patterns and how species transport equations model the concentration of nutrients and oxygen, which are vital for optimizing bioprocesses.

Scaling up bioprocesses in high-viscosity media presents significant challenges related to mass transfer limitations, heat removal, and mixing heterogeneity. This article details the mechanistic basis of scale-up failure and outlines advanced strategies, including specialized impeller selection and process modification, to ensure stable and efficient operation.

This article explores the fundamental concept of Perfusion Rate (Q), defining it as the product of a medium exchange rate and a volume. We delve into its practical applications and implications across various scientific and engineering fields.

This article explores how process intensification, particularly through microreactors and membrane bioreactors, enhances efficiency by minimizing heat transfer limitations, ensuring rapid mixing, and allowing for higher biomass concentrations.

This article explores the complex factors governing observed reaction rates, specifically detailing the interplay between intrinsic enzyme kinetics (Michaelis-Menten) and external mass transfer limitations. A combined model is presented to quantify the overall reaction rate under non-ideal conditions.