This article explores the fundamental chemical differences, reactivities, and biological significance of carbon-oxygen ($ ext{C-O}$) and carbon-nitrogen ($ ext{C-N}$) bonds, two of the most crucial functional groups in organic chemistry.
Scaling up bioprocesses presents significant challenges related to oxygen transfer, shear stress, and process heterogeneity. Advanced engineering solutions, including perfusion strategies, specialized reactor designs, and Process Analytical Technology (PAT), are crucial for maintaining optimal cell…
This article details the fundamental mathematical models used to describe complex reaction and transport phenomena within porous reactors, covering species conservation, energy balance, and fluid dynamics.
Protein purification is a critical bottleneck in biopharmaceutical manufacturing. Novel membrane-based bioseparation technologies offer a promising, continuous, and scalable alternative to traditional methods, addressing limitations in throughput and selectivity.
Shear stress management is critical in bioprocessing, as excessive mechanical forces can disrupt cell viability and trigger apoptosis. This article details strategies for optimizing impeller design, gas dispersion, and process control to maintain optimal conditions…
This article details the critical operational strategies required to maximize product titer in a chemostat system, focusing on precise control of dilution rate, substrate feeding, and continuous product recovery to overcome metabolic limitations and inhibition.
This article explores the fundamental electrochemical principles governing the interaction between metal ions, nitrogen species, and biological systems. It details how controlled potential electrolysis can be used to study redox reactions critical to life, such…
This article explores the critical design and operational strategies required for closed Photobioreactors (PBRs) to maximize microalgal biomass productivity and lipid accumulation for biofuel applications.
The purification of viral particles (virions) from complex biological matrices is a critical bottleneck in biopharmaceutical manufacturing. Advanced techniques like SEC, IEX, AC, and TFF are employed to achieve high purity and concentration while removing…
This article explores advanced control strategies for bioreactors, focusing on predictive modeling and Reinforcement Learning (RL) to maintain optimal operational states. By predicting critical variables and learning optimal policies, these systems enable proactive adjustments, significantly…