Use of simulation and intelligence based optimization approach in bioprocess

Abstract

Enzyme streptokinase is produced by streptococcus sp. in native form and useful to treat acute myocardial infarction, being an essential drug it is necessary to enhance its production utilizing its recombinant strain for thrombolytic therapy. Various fundamental models incorporating indispensable parameters are found to apparently describe the entire existence of employed cells in the bioreactor environment. The unstructured system features can be defined by dynamical system using a composite model. The endeavour would be to establish the fundamental constraints that affect the plasmid instability criterion and hold a relevant role in dynamics of batch and continuous culture system. On performing statistical analysis, screening of production media components and culture condition optimization has been achieved; the data obtained noticeably illustrates the role of few significant parameters governing the culture system. A useful technique has been further implemented using neural network simulation which on the other hand serves as soft computing tool for optimizing factors controlling the process dynamics.