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Digital Twins: Applications to the Design and Optimization of Bioprocesses
Digital Twins: Applications to the Design and Optimization of Bioprocesses
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- More about Digital Twins: Applications to the Design and Optimization of Bioprocesses
Digital twins are a promising tool in the bioprocess industry, offering a virtual representation of the process that reflects the mechanistics of the biological system and the interactions between process parameters. This book focuses on the application of digital twins in various contexts, such as computer-aided experimental design, seed train prediction, and lifeline analysis, and offers the ideal introduction to the topic for researchers in academy and industry.
Format: Paperback / softback
Length: 254 pages
Publication date: 27 April 2022
Publisher: Springer Nature Switzerland AG
This comprehensive two-volume set provides an in-depth exploration of the latest advancements in the creation and utilization of digital twins in the field of bioprocess design and optimization. Over the past few decades, these processes have undergone a remarkable transformation, transitioning from data-driven approaches to the digitalization of the bioprocess industry. Furthermore, the growing demand for biotechnological products necessitates the adoption of efficient methodologies throughout research and development, tech transfer, and routine manufacturing.
In this context, the utilization of digital twins emerges as a promising tool, offering a virtual representation of the bioprocess. These digital replicas accurately mirror the mechanistic aspects of the biological system and the intricate interplay between process parameters, key performance indicators, and product quality attributes. By employing a mathematical process model, digital twins enable us to gain a deeper understanding of the process, test and evaluate novel bioprocesses, and effectively monitor them.
This book specifically delves into the diverse applications of digital twins, encompassing areas such as computer-aided experimental design, seed train prediction, and lifeline analysis. Covering both fundamental principles and practical applications, these two volumes serve as an ideal introduction to the topic for researchers and practitioners in academia and industry alike.
Weight: 409g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030716585
Edition number: 1st ed. 2021
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