Modeling Bioreactor Kinetics and Product Formation
This article explores the integration of physical outputs from bioreactor geometries into structured kinetic models to accurately predict cell growth, metabolism, and product formation rates.
This article explores the integration of physical outputs from bioreactor geometries into structured kinetic models to accurately predict cell growth, metabolism, and product formation rates.
Metabolic Flux Analysis (MFA) is a computational technique used to determine the optimal distribution of metabolic fluxes ($\mathbf{v}$) within a biochemical network. By solving the steady-state equation $\mathbf{S} \cdot \mathbf{v} = 0$ and incorporating experimental constraints, MFA identifies metabolic bottlenecks and guides strain engineering efforts.
This article provides a comprehensive mathematical framework for defining, deriving, and analyzing the maximum value, $\gamma_{max}$. It utilizes techniques from multivariable calculus and optimization theory, demonstrating how $\gamma_{max}$ can be determined by solving constrained or unconstrained maximization problems involving complex functions.
This article details the critical physicochemical parameters and advanced techniques required for optimizing the downstream processing and scaling up of Lipid Nanoparticle (LNP) formulations, focusing on maintaining structural integrity and purity.
The reliable production of bioproducts depends on maintaining the genetic integrity and high productivity of the working microbial strain. This article outlines integrated strategies for robust cryopreservation and subsequent scale-up of specialized bioprocess strains.
Advanced bioreactor systems, including perfusion, microfluidic, and packed bed designs, are critical for moving beyond static culture methods to create clinically relevant, high-fidelity models for tissue engineering and drug discovery.
Bioprocess optimization requires sophisticated, integrated control systems that monitor critical process parameters (CPPs) and critical quality attributes (CQAs) in real-time. This article details how Process Analytical Technology (PAT) establishes a closed-loop, predictive control mechanism, moving bioprocess management from reactive adjustments to proactive, data-driven optimization.
This article details the principles and operational considerations for utilizing continuous fermentation systems, such as chemostats, to achieve high-titer enzyme production. Key mechanisms include balancing the specific growth rate ($\mu$) with the dilution rate ($D$) while managing substrate feeding, shear stress, and product inhibition.
This article compares the two primary methodologies—Rational Design and Directed Evolution—used to enhance protein thermostability, detailing how structural modifications shift the thermodynamic equilibrium toward the folded state.
Traditional bioprocessing methods fail to capture cellular heterogeneity. Microfluidic platforms overcome this limitation by creating controlled microenvironments, enabling high-throughput, single-cell analysis crucial for accurate drug screening and understanding complex disease states.