Process Control, Intensification, and Digitalisation in Continuous Biomanufacturing 2021
DOI: 10.1002/9783527827343.ch9
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Digital Twins for Continuous Biologics Manufacturing

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Cited by 7 publications
(6 citation statements)
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“…The kinetic parameters could be determined that are needed for DT-based process optimization and automation. 103 The maximum reaction rate is 0.358 ± 0.001 μM/min for all nucleotides. The second important parameter for modeling the reaction in the process model is the Michaelis–Menten constant, which is 140.4 ± 2.9 μM for ATP, 71.5 ± 1.9 μM for CTP, 101.5 ± 3.8 μM for UTP, and 165.5 ± 6.4 μM for GTP.…”
Section: Discussionmentioning
confidence: 90%
See 1 more Smart Citation
“…The kinetic parameters could be determined that are needed for DT-based process optimization and automation. 103 The maximum reaction rate is 0.358 ± 0.001 μM/min for all nucleotides. The second important parameter for modeling the reaction in the process model is the Michaelis–Menten constant, which is 140.4 ± 2.9 μM for ATP, 71.5 ± 1.9 μM for CTP, 101.5 ± 3.8 μM for UTP, and 165.5 ± 6.4 μM for GTP.…”
Section: Discussionmentioning
confidence: 90%
“…The kinetic parameters could be determined that are needed for DT-based process optimization and automation . The maximum reaction rate is 0.358 ± 0.001 μM/min for all nucleotides.…”
Section: Discussionmentioning
confidence: 99%
“…Continuous manufacturing of pharmaceuticals is regarded as a product quality improvement due to batch harmonization and the reduction in batch lot failures [ 31 ]. Therefore, it starts industrialization with a MIT/Novartis cooperation [ 32 ] on synthetic active pharmaceutical ingredients; many studies have been published recently, trying to transfer such activities into biologics manufacturing [ 34 , 35 , 36 , 37 , 38 , 39 ].…”
Section: Advanced Pharmaceutical Technologymentioning
confidence: 99%
“…The multi-objective optimization challenges are methodologically approached with the aid of scalable Digital Twins [58,75]. Distinct in accuracy and precision, process models are validated in laboratory scale experiments [59,76], which are adapted to real-time phenomena of plant operation by sensors within PAT approaches [26,60] in order to predict optimal setpoints for process control which enables autonomous operation [58]. Though it is methodologically and interdisciplinarily complex, it has already verified with proofof-concept studies [71,[77][78][79][80][81].…”
Section: Process Developmentmentioning
confidence: 99%
“…This technology needs to have fast, flexible and modular facilities, and be feasibly operated autonomously, with minimal efforts from personnel [55,56]. Any engineering solution would need to be readily available [57][58][59][60], see Figure 8.…”
mentioning
confidence: 99%