Skip navigation
Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/15241
Title: Use of simulation and intelligence based optimization approach in bioprocess
Authors: Kumar P.
Ghosh, Sanjoy
Deep K.
Nagar A.
Pant M.
Bansal J.C.
Published in: Proceedings of Advances in Intelligent Systems and Computing
Abstract: Enzyme streptokinase is produced by streptococcus sp. in native form and useful to treat acute myocardial infarction, being an essential drug it is necessary to enhance its production utilizing its recombinant strain for thrombolytic therapy. Various fundamental models incorporating indispensable parameters are found to apparently describe the entire existence of employed cells in the bioreactor environment. The unstructured system features can be defined by dynamical system using a composite model. The endeavour would be to establish the fundamental constraints that affect the plasmid instability criterion and hold a relevant role in dynamics of batch and continuous culture system. On performing statistical analysis, screening of production media components and culture condition optimization has been achieved; the data obtained noticeably illustrates the role of few significant parameters governing the culture system. A useful technique has been further implemented using neural network simulation which on the other hand serves as soft computing tool for optimizing factors controlling the process dynamics. © Springer India 2014.
Citation: Proceedings of Advances in Intelligent Systems and Computing, (2014), 349- 364
URI: https://doi.org/10.1007/978-81-322-1768-8_32
http://repository.iitr.ac.in/handle/123456789/15241
Issue Date: 2014
Publisher: Springer Verlag
Keywords: Culture condition and process dynamics
Instability criterion
Streptokinase
Unstructured system
ISBN: 9.78813E+12
ISSN: 21945357
Author Scopus IDs: 57214054770
56603000600
Author Affiliations: Kumar, P., Computational Bioprocess Engineering Laboratory, Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Ghosh, S., Computational Bioprocess Engineering Laboratory, Department of Biotechnology, Indian Institute of Technology Roorkee, Roorkee, 247667, India
Corresponding Author: Kumar, P.; Computational Bioprocess Engineering Laboratory, Department of Biotechnology, Indian Institute of Technology RoorkeeIndia; email: pawanbioinfo22@yahoo.com
Appears in Collections:Conference Publications [BT]

Files in This Item:
There are no files associated with this item.
Show full item record


Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.