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
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;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3