LEADER 04046nam 22006615 450 001 9910484863603321 005 20251009161937.0 010 $a3-030-71656-2 024 7 $a10.1007/978-3-030-71656-1 035 $a(CKB)4100000011902522 035 $a(MiAaPQ)EBC6568327 035 $a(Au-PeEL)EBL6568327 035 $a(OCoLC)1247681820 035 $a(PPN)255289286 035 $a(DE-He213)978-3-030-71656-1 035 $a(EXLCZ)994100000011902522 100 $a20210425d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDigital Twins $eApplications to the Design and Optimization of Bioprocesses /$fedited by Christoph Herwig, Ralf Pörtner, Johannes Möller 205 $a1st ed. 2021. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2021. 215 $a1 online resource (260 pages) 225 1 $aAdvances in Biochemical Engineering/Biotechnology,$x1616-8542 ;$v177 311 08$a3-030-71655-4 327 $aPotential of model-based design of experiments approaches for bioprocess scale-down -- Digital Twins and Their Role in Model-Assisted Design of Experiments -- Digital twins for bioprocess control strategy development and realization -- The Kalman filter for the supervision of cultivation processes.-The challenge of implementing digital twins in operating value chains -- Digital twins in the (bio)pharma industry -- Numerical methods for the design and description of in vitro expansion processes of human mesenchymal stem cells -- Euler-Lagrangian Simulations: A Proper Tool for Predicting Cellular Performance in Industrial Scale Bioreactors. 330 $aThis is the second of two volumes that together provide an overview of the latest advances in the generation and application of digital twins in bioprocess design and optimization. Both processes have undergone significant changes over the past few decades, moving from data-driven approaches into the 21st-century digitalization of the bioprocess industry. Moreover, the high demand for biotechnological products calls for efficient methods during research and development, as well as during tech transfer and routine manufacturing. In this regard, one promising tool is the use of digital twins, which offer a virtual representation of the bioprocess. They reflect the mechanistics of the biological system and the interactions between process parameters, key performance indicators and product quality attributes in the form of a mathematical process model. Furthermore, digital twins allow us to use computer-aided methods to gain an improved process understanding, to test and plan novel bioprocesses, and to efficiently monitor them. This book focuses on the application of digital twins in various contexts, e.g. computer-aided experimental design, seed train prediction, and lifeline analysis. Covering fundamentals as well as applications, the two volumes offers the ideal introduction to the topic for researchers in academy and industry alike. 410 0$aAdvances in Biochemical Engineering/Biotechnology,$x1616-8542 ;$v177 606 $aBiotechnology 606 $aComputational intelligence 606 $aManufactures 606 $aChemical Bioengineering 606 $aBiotechnology 606 $aComputational Intelligence 606 $aMachines, Tools, Processes 615 0$aBiotechnology. 615 0$aComputational intelligence. 615 0$aManufactures. 615 14$aChemical Bioengineering. 615 24$aBiotechnology. 615 24$aComputational Intelligence. 615 24$aMachines, Tools, Processes. 676 $a660.63 676 $a338.476606 702 $aHerwig$b Christoph 702 $aPo?rtner$b Ralf 702 $aMo?ller$b Johannes 702 $aAnane$b E. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484863603321 996 $aDigital twins$92480004 997 $aUNINA