Digital application of bioreactor monitoring

Abstract

Real-time monitoring of the batch process is beneficial as many batch processes are employed to produce high value-added products. Although many theoretical studies deal with the monitoring algorithm, the platform where to apply these ideas as well as the algorithm based on a mechanistic model are rarely proposed. In this study, the gPROMS Digital Applications Platform (gDAP) that takes care of all activities for online implementation and execution of models is described. This platform allows connecting a mechanistic cell culture model implemented in the gPROMS Formulat-edProducts modeling environment with plant data and web-based Dashboards, which displays both plant data and values estimated by the model. The mathematical model is used to predict the process performance, and it is started by the user from the dashboards. Model outputs are instantly stored in a database, where all the plant and model data are historized. Users can access the dashboards which displays the values stored in the database through the internet. The proposed platform is applied to a monoclonal antibody production process.