DocumentCode
582816
Title
Cell density online detection and substrate concentration real-time control of microbial fermentation process
Author
Qingqiang, Guo ; Jianqiang, Lin ; Qiqiang, Li
Author_Institution
State Key Lab. of Microbial Technol., Shandong Univ., Jinan, China
fYear
2012
fDate
25-27 July 2012
Firstpage
7398
Lastpage
7402
Abstract
In many of the microbial fermentation and training process, the control of carbon source (glucose) is the key to achieve process optimization. However, glucose and other carbon electrodes is expensive, and can not be online sterilization, limiting its scope of application. Cell density measured by capacitance theory, which can be on online sterilization, have a good correspondence with cell dry weight, OD values and other biological indicators. Based on the kinetic model, real-time control of substrate concentration have been implemented with the cell density from fermentation detect data. The established microbial reaction kinetics model of batch fermentation process using genetic algorithms has a good simulation results. Several fermentation results comparison shows that this method can effectively improve the production of end products, which can be referenced by pharmaceutical, food and other fermentation industrial.
Keywords
fermentation; genetic algorithms; microorganisms; process control; reaction kinetics; OD values; batch fermentation process; biological indicators; capacitance theory; carbon electrodes; carbon source control; cell density online detection; genetic algorithms; glucose; kinetic model; microbial fermentation process; online sterilization; process optimization; substrate concentration real-time control; training process; Biological system modeling; Carbon; Educational institutions; Electronic mail; Process control; Real-time systems; Substrates; Cell Density; Fermentation; Real-time Control; Substrate Concentration;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6391250
Link To Document