Christoph Herwig – författare

This 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.

This 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.

This is the first 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 explains the mathematical structure of digital twins, their development and the model’s respective parts, as well as concepts for the knowledge-driven generation and structural variability of digital twins. Covering fundamentals as well as applications, the two volumes offer the ideal introduction to the topic for researchers in academy and industry alike.

This is the first 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 explains the mathematical structure of digital twins, their development and the model’s respective parts, as well as concepts for the knowledge-driven generation and structural variability of digital twins. Covering fundamentals as well as applications, the two volumes offer the ideal introduction to the topic for researchers in academy and industry alike.

Dies ist der erste von zwei Bänden, die zusammen einen Überblick über die neuesten Fortschritte bei der Erzeugung und Anwendung digitaler Zwillinge in der Bioprozessentwicklung und -optimierung geben.Bioprozesse haben sich in den letzten Jahrzehnten stark entwickelt, von datengetriebenen Ansätzen hin zur Digitalisierung der Bioprozessindustrie im 21. Jahrhundert. Darüber hinaus erfordert die hohe Nachfrage nach biotechnologischen Produkten effiziente Methoden, sowohl in der Forschung und Entwicklung als auch im Technologietransfer und in der Routineproduktion.Ein vielversprechendes Werkzeug ist in diesem Zusammenhang der Einsatz von digitalen Zwillingen als virtuelle Darstellung des Bioprozesses. Sie spiegeln die Mechanik des biologischen Systems, die Wechselwirkungen zwischen Prozessparametern, Kennzahlen und Produktqualitätsmerkmalen in Form eines mathematischen Prozessmodells wider. Darüber hinaus ermöglichen digitale Zwillinge den Einsatz computergestützter Methoden, um ein besseres Prozessverständnis zu erlangen, neuartige Bioprozesse zu testen und zu planen sowie diese effizient zu überwachen.Dieses Buch erläutert die mathematische Struktur digitaler Zwillinge, ihre Entwicklung und die einzelnen Teile des Modells sowie Konzepte zur wissensbasierten Erzeugung und strukturellen Variabilität digitaler Zwillinge.Die beiden Bände decken sowohl Grundlagen als auch Anwendungen ab und bieten damit den idealen Einstieg in das Thema für Forscher und Entwickler in Wissenschaft und Industrie gleichermaßen.