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The prediction of the cell and substrate in a fed-batch fermentation system by modification of models

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Main Authors: Ngoh, Gek Cheng, Dr., Masitah, Hasan, Prof. Dr. Datin
Format: Article
Language:English
Published: The Institution of Engineers, Malaysia 2011
Subjects:
Bergter and Knorre model
Cell and substrate prediction
Fed batch system
Maximum specific growth rate
Monod equation
Overall yield coefficient
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/13625
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spelling my.unimap-136252011-09-04T00:25:23Z The prediction of the cell and substrate in a fed-batch fermentation system by modification of models Ngoh, Gek Cheng, Dr. Masitah, Hasan, Prof. Dr. Datin Bergter and Knorre model Cell and substrate prediction Fed batch system Maximum specific growth rate Monod equation Overall yield coefficient Link to publisher's homepage at http://www.myiem.org.my/ This objective of this study is to predict cell masses and substrate consumption in a fed-batch system after switching from a batch mode. A 2.0 litre reactor vessel was used to monitor the growth characteristics of Candida utilis in a bioreactor with the aid of a computer. The study enabled the development of two major mathematical models and their respective modified models for the prediction of the cell and substrate throughout the fermentation cycle. In the first model, the overall yield coefficient, Yx/s, obtained by multiple linear regressions relating yield to the input variables for the batch model was assumed to be constant throughout the fed-batch mode. With this yield, the modified Bergter and Knorre model is applied to determine the specific growth rate over the entire fed-batch fermentation cycle to predict both the cell and substrate concentrations. The second model assumes that the fed batch mode operates at maximum specific growth rate, µmax, after switching from batch mode. The value was obtained by using multiple linear regressions to relate the maximum specific growth rate, µmax to the input variables from the batch mode. Both the models were modified and have obtained reasonably good results when compared with the experimental data. 2011-09-04T00:25:23Z 2011-09-04T00:25:23Z 2008-12 Article The Journal of the Institution of Engineers, Malaysia, vol. 69(4), 2008, pages 9-14 0126-513X http://www.myiem.org.my/content/iem_journal_2008-179.aspx http://hdl.handle.net/123456789/13625 en The Institution of Engineers, Malaysia
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bergter and Knorre model
Cell and substrate prediction
Fed batch system
Maximum specific growth rate
Monod equation
Overall yield coefficient
spellingShingle Bergter and Knorre model
Cell and substrate prediction
Fed batch system
Maximum specific growth rate
Monod equation
Overall yield coefficient
Ngoh, Gek Cheng, Dr.
Masitah, Hasan, Prof. Dr. Datin
The prediction of the cell and substrate in a fed-batch fermentation system by modification of models
description Link to publisher's homepage at http://www.myiem.org.my/
format Article
author Ngoh, Gek Cheng, Dr.
Masitah, Hasan, Prof. Dr. Datin
author_facet Ngoh, Gek Cheng, Dr.
Masitah, Hasan, Prof. Dr. Datin
author_sort Ngoh, Gek Cheng, Dr.
title The prediction of the cell and substrate in a fed-batch fermentation system by modification of models
title_short The prediction of the cell and substrate in a fed-batch fermentation system by modification of models
title_full The prediction of the cell and substrate in a fed-batch fermentation system by modification of models
title_fullStr The prediction of the cell and substrate in a fed-batch fermentation system by modification of models
title_full_unstemmed The prediction of the cell and substrate in a fed-batch fermentation system by modification of models
title_sort prediction of the cell and substrate in a fed-batch fermentation system by modification of models
publisher The Institution of Engineers, Malaysia
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/13625
_version_ 1643790941332439040
score 13.211869

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