Sensors in Bioprocess Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Sensors in Bioprocess Control write by John Twork. This book was released on 2020-07-24. Sensors in Bioprocess Control available in PDF, EPUB and Kindle. This volume presents the reader with an overview of current chemical sensor technology and outlines a framework relating industrial bioprocess monitoring to modern process control technology. It deals with conventional multivariable control technology, focusing on bioprocess applications.
Sensors in Bioprocess Control
Sensors in Bioprocess Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Sensors in Bioprocess Control write by John Twork. This book was released on 2020-07-24. Sensors in Bioprocess Control available in PDF, EPUB and Kindle. This volume presents the reader with an overview of current chemical sensor technology and outlines a framework relating industrial bioprocess monitoring to modern process control technology. It deals with conventional multivariable control technology, focusing on bioprocess applications.
Control in Bioprocessing
Control in Bioprocessing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Control in Bioprocessing write by Pablo A. López Pérez. This book was released on 2020-03-10. Control in Bioprocessing available in PDF, EPUB and Kindle. Closes the gap between bioscience and mathematics-based process engineering This book presents the most commonly employed approaches in the control of bioprocesses. It discusses the role that control theory plays in understanding the mechanisms of cellular and metabolic processes, and presents key results in various fields such as dynamic modeling, dynamic properties of bioprocess models, software sensors designed for the online estimation of parameters and state variables, and control and supervision of bioprocesses Control in Bioengineering and Bioprocessing: Modeling, Estimation and the Use of Sensors is divided into three sections. Part I, Mathematical preliminaries and overview of the control and monitoring of bioprocess, provides a general overview of the control and monitoring of bioprocesses, and introduces the mathematical framework necessary for the analysis and characterization of bioprocess dynamics. Part II, Observability and control concepts, presents the observability concepts which form the basis of design online estimation algorithms (software sensor) for bioprocesses, and reviews controllability of these concepts, including automatic feedback control systems. Part III, Software sensors and observer-based control schemes for bioprocesses, features six application cases including dynamic behavior of 3-dimensional continuous bioreactors; observability analysis applied to 2D and 3D bioreactors with inhibitory and non-inhibitory models; and regulation of a continuously stirred bioreactor via modeling error compensation. Applicable across all areas of bioprocess engineering, including food and beverages, biofuels and renewable energy, pharmaceuticals and nutraceuticals, fermentation systems, product separation technologies, wastewater and solid-waste treatment technology, and bioremediation Provides a clear explanation of the mass-balance–based mathematical modelling of bioprocesses and the main tools for its dynamic analysis Offers industry-based applications on: myco-diesel for implementing "quality" of observability; developing a virtual sensor based on the Just-In-Time Model to monitor biological control systems; and virtual sensor design for state estimation in a photocatalytic bioreactor for hydrogen production Control in Bioengineering and Bioprocessing is intended as a foundational text for graduate level students in bioengineering, as well as a reference text for researchers, engineers, and other practitioners interested in the field of estimation and control of bioprocesses.
Sensors for Bioprocess Control
Sensors for Bioprocess Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Sensors for Bioprocess Control write by Neil Cleland. This book was released on 1988. Sensors for Bioprocess Control available in PDF, EPUB and Kindle.
Development of soft sensors for monitoring and control of bioprocesses
Development of soft sensors for monitoring and control of bioprocesses - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Development of soft sensors for monitoring and control of bioprocesses write by Robert Gustavsson. This book was released on 2018-10-31. Development of soft sensors for monitoring and control of bioprocesses available in PDF, EPUB and Kindle. In the manufacture of bio-therapeutics the importance of a well-known process is key for a high product titer and low batch to batch variations. Soft sensors are based on the concept that online sensor signals can be used as inputs to mathematical models to derive new valuable process information. This information could then be used for better monitoring and control of the bioprocess. The aim of the present thesis has been to develop soft sensor solutions for upstream bioprocessing and demonstrate their usefulness in improving robustness and increase the batch-to-batch reproducibility in bioprocesses. The thesis reviews the potential and possibilities with soft sensors for use in production of bio-therapeutics to realize FDA´s process analytical technology (PAT) initiative. Modelling and hardware sensor alternatives which could be used in a soft sensor setup are described and critically analyzed. Different soft sensor approaches to control glucose feeding in fed-batch cultures of Escherichia coli are described. Measurements of metabolic fluxes and specific carbon dioxide production was used as control parameters to increase product yield and decrease the variability of produced recombinant proteins. Metabolic heat signals were used in uninduced cultures to estimate and control the specific growth rate at a desired level and thereby also estimate the biomass concentration online. The introduction of sequential filtering of the signal enabled this method to be used in a down-scaled system. The risk and high impact of contaminations in cell cultures are also described. An in situ microscope (ISM) was used as an online tool to estimate cell concentration and also to determine cell diameter size which enabled the detection of contaminant cells at an early stage. The work presented in this thesis supports the idea that soft sensors can be a useful tool in the strive towards robust and reliable bioprocesses, to ensure high product quality and increased economic profit.
