Table I.
Summary of Applications and Novel Publications with Respect to Model-Based Experimental Design
| Method | Criteria | Application | Real-time | Reference |
|---|---|---|---|---|
| Application paper | ||||
| Signal to noise ratio | SNR = const | estimation of sampling points with respect to deviations on specific rates | at-line/ off-line | (34) |
| Sequential experimental design | D-criteria | experimental design within a model discrimination workflow | at-line/ off-line | (35,36) |
| Optimal dynamic experiments | – | MB-DoE in microbioreactor systems under use of FTIR spectroscopy as monitoring tool | at-line/ real-time | (37) |
| Simultaneous solution Approach for MB-DoE | A, D & E - criteria | design of feed rates and adaptive optimal sampling strategy | at-line/ off-line | (38) |
| CMB-DoE | A, D & E - criteria | adaption of a dynamic experiment under usage of real-time data control on information criteria | real-time | (39,40) |
| Online optimal experimental re-design | A-criteria | adaption of a dynamic experiment under usage of real-time data control on information criteria | real-time | (41,42) |
| Model discriminating experimental design | – | Model descrimination within an sequential workflow | at-line/ real-time | (43) |
| Design criteria paper | ||||
|
D-optimal design DMOO design (multi objective optimization) |
reduction of parameter interactions with MB-DoE under usage of a multi objective optimization criteria | at-line/ off-line | (44) | |
| Multi objective approach | Multi-objective MB-DoE to descriminate between models and estimate kinetic parameters | at-line/ off-line | (45) | |
| Anticorrelation criteria | anticorrelation criteria to estimate model parameters | at-line/ off-line | (46) | |