Cybernetic Modeling for Bioreaction Engineering

Hardback

Main Details

Title Cybernetic Modeling for Bioreaction Engineering
Authors and Contributors      By (author) Doraiswami Ramkrishna
By (author) Hyun-Seob Song
SeriesCambridge Series in Chemical Engineering
Physical Properties
Format:Hardback
Pages:294
Dimensions(mm): Height 253,Width 179
Category/GenreBiochemical engineering
ISBN/Barcode 9781107000520
ClassificationsDewey:612.01421
Audience
Professional & Vocational
Illustrations 143 Line drawings, black and white

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 18 October 2018
Publication Country United Kingdom

Description

Uniquely focusing on dynamic modeling, this volume incorporates metabolic regulation as a survival mechanism for cells, by driving metabolism through optimal investment of its resources for control of enzyme synthesis and activity. Consequently, the models have a proven record of describing various uptake patterns of mixed carbon substrates that have become significant in modern applications of biomass for the production of bioenergy. The models accurately describe dynamic behavior of microbes in nutrient environments with mixtures of complementary substrates, such as carbon and nitrogen. Modeling of large metabolic networks (including prospects for extension to genome scale) is enabled by lumped hybrid cybernetic models with an unparalleled capacity to predict dynamic behavior of knockout strains. This is an invaluable, must-have reference for bio-researchers and practicing engineers.

Author Biography

Doraiswami Ramkrishna is the Harry Creighton Peffer Distinguished Professor of Chemical Engineering at Purdue University, Indiana. He pioneered the development of dynamic metabolic modeling, and has been active in the area for over thirty years. He is a member of the National Academy of Engineering, coined the term 'cybernetic modeling', and has authored several academic books. Hyun-Seob Song is a Senior Research Scientist at Pacific Northwest National Laboratory, Washington (PNNL). His new development of metabolic pathway analysis enabled dynamic metabolic modeling for complex, large-scale networks. He is also active in the areas of network inference and microbial community modeling.