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http://dx.doi.org/10.4014/jmb.1204.04038

Fuzzy Logic Control of Rotating Drum Bioreactor for Improved Production of Amylase and Protease Enzymes by Aspergillus oryzae in Solid-State Fermentation  

Sukumprasertsri, Monton (Department of Chemical Engineering, King Mongkut's University of Technology Thonburi)
Unrean, Pornkamol (Biochemical Engineering and Pilot Plant Research and Development Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC) at King Mongkut's University of Technology Thonburi)
Pimsamarn, Jindarat (Department of Chemical Engineering, King Mongkut's University of Technology Thonburi)
Kitsubun, Panit (Biochemical Engineering and Pilot Plant Research and Development Unit, National Center for Genetic Engineering and Biotechnology (BIOTEC) at King Mongkut's University of Technology Thonburi)
Tongta, Anan (School of Bioresources and Technology, King Mongkut's University of Technology Thonburi)
Publication Information
Journal of Microbiology and Biotechnology / v.23, no.3, 2013 , pp. 335-342 More about this Journal
Abstract
In this study, we compared the performance of two control systems, fuzzy logic control (FLC) and conventional control (CC). The control systems were applied for controlling temperature and substrate moisture content in a solidstate fermentation for the biosynthesis of amylase and protease enzymes by Aspergillus oryzae. The fermentation process was achieved in a 200 L rotating drum bioreactor. Three factors affecting temperature and moisture content in the solid-state fermentation were considered. They were inlet air velocity, speed of the rotating drum bioreactor, and spray water addition. The fuzzy logic control system was designed using four input variables: air velocity, substrate temperature, fermentation time, and rotation speed. The temperature was controlled by two variables, inlet air velocity and rotational speed of bioreactor, while the moisture content was controlled by spray water. Experimental results confirmed that the FLC system could effectively control the temperature and moisture content of substrate better than the CC system, resulting in an increased enzyme production by A. oryzae. Thus, the fuzzy logic control is a promising control system that can be applied for enhanced production of enzymes in solidstate fermentation.
Keywords
Fuzzy logic control; solid-state fermentation; automatic control; Aspergillus oryzae;
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