Master Biocatalysis Optimized: Quantitative Kinetic Analysis & Scaling in 4 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Biocatalysis Optimized: Quantitative Kinetic Analysis & Scaling, from foundations to a certified capstone project.
Kinetics
โข Michaelis-Menten parameters and the initial-rate conditions they require
โข Fitting by nonlinear regression rather than Lineweaver-Burk linearisation
โข kcat over Km as the catalytic efficiency figure that permits comparison
Inhibition
โข Competitive, uncompetitive and mixed inhibition distinguished experimentally
โข Substrate and product inhibition as the usual industrial bottleneck
โข Solvent, pH and temperature effects on both rate and stability
Stability
โข Thermal and operational half-life measured under process conditions
โข Immobilisation on carriers, cross-linked aggregates and diffusion limitation
โข Enzyme reuse cycles and the total turnover number that decides economics
Engineering
โข Directed evolution and rational design and when each is appropriate
โข Screening throughput as the true constraint on any evolution campaign
โข Computational design tools and their realistic hit rates
Scale
โข Space-time yield, biocatalyst yield and E-factor as the reported metrics
โข Batch, fed-batch and continuous flow configurations
โข Mass transfer, mixing and the reasons bench kinetics fail to scale
e-Certificate and e-Marksheet issued on successful completion.