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Digital twinstools and concepts for ...

Herwig, Christoph.

Digital twinstools and concepts for smart biomanufacturing /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital twinsedited by Christoph Herwig, Ralf Portner, Johannes Moller.
Reminder of title:	tools and concepts for smart biomanufacturing /
other author:	Herwig, Christoph.
Published:	Cham :Springer International Publishing :2021.
Description:	vii, 262 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Biochemical engineering.
Online resource:	https://doi.org/10.1007/978-3-030-71660-8
ISBN:	9783030716608$q(electronic bk.)

Digital twinstools and concepts for smart biomanufacturing /
Digital twinstools and concepts for smart biomanufacturing /[electronic resource] :edited by Christoph Herwig, Ralf Portner, Johannes Moller. - Cham :Springer International Publishing :2021. - vii, 262 p. :ill. (some col.), digital ;24 cm. - Advances in biochemical engineering/biotechnology,1760724-6145 ;. - Advances in biochemical engineering/biotechnology ;138..

Towards the development of digital twins for the biomanufacturing industry -- When is an In silico representation a digital twin? A biopharmaceutical industry approach to the digital twin concept -- Digitalization and bioprocessing, regulatory aspects -- Usage of Digital Twins along a typical process development cycle -- Mechanistic Mathematical Models as a Basis for Process Optimization and Digital Twins -- Digital Seed Train Twins and Statistical Methods -- Digital Twins in Biomanufacturing.

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.

ISBN: 9783030716608$q(electronic bk.)

Standard No.: 10.1007/978-3-030-71660-8doiSubjects--Topical Terms:

188921
Biochemical engineering.

LC Class. No.: TP248.3 / .D545 2021

Dewey Class. No.: 660.63

Digital twinstools and concepts for smart biomanufacturing /
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520 $a 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.
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