Modeling and Optimization of Continuous Viral Vaccine Production

A model that captures realistic viral growth dynamics has been developed based on a continuous and semi-continuous production of an influenza virus. This considers parameters such as latency. It also the lag observed during early viruses in culture explains later-phase dynamics. Furthermore, sensitivity analysis was performed to investigate effects each input output. revealed defective interfering particles (DIPs) highly depends number cells introduced reactor. The rationale for this is, per model, reduction be infected causes DIPs formed rate infection decreases. Finally, flowsheet created optimize platform, including supplied From this, it peak could reduced by one-third. is tailorable different using parameter estimation. Therefore, proposed mathematical provides versatile, comprehensive platform can tailored various cultures with or without latent phase.