Workflow to set up substantial target-oriented mechanistic process models in bioprocess engineering

摘要: Abstract A multitude of new applications in bioprocess technology strongly depend on model-based methods as they feature prediction and control capabilities. The critical path is usually the availability suitable models. In this work a workflow for generation substantial target-oriented mechanistic process models presented. This based backpropagation starting from material balance certain target variable. Iteratively, necessary states well links are included model using library reducing computational effort. parameters these estimated simplex algorithm whose objective function depends variable only. Practical identifiability analysis used assessment need further iterations validating model. To demonstrate workflow, describing mammalian cell culture aiming at modeling viable count an example. generated satisfies predefined requirements very simple, consisting three seven presented generic, transparent, so that also regulatory environment should be possible. It provides additional knowledge can development optimization.