Literature DB >> 23462006

Fuzzy logic control of rotating drum bioreactor for improved production of amylase and protease enzymes by Aspergillus oryzae in solid-state fermentation.

Monton Sukumprasertsri1, Pornkamol Unrean, Jindarat Pimsamarn, Panit Kitsubun, Anan Tongta.   

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.

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Year:  2013        PMID: 23462006     DOI: 10.4014/jmb.1204.04038

Source DB:  PubMed          Journal:  J Microbiol Biotechnol        ISSN: 1017-7825            Impact factor:   2.351


  1 in total

1.  Response Surface Methodology Modelling of an Aqueous Two-Phase System for Purification of Protease from Penicillium candidum (PCA 1/TT031) under Solid State Fermentation and Its Biochemical Characterization.

Authors:  Amaal M Alhelli; Mohd Yazid Abdul Manap; Abdulkarim Sabo Mohammed; Hamed Mirhosseini; Eilaf Suliman; Zahra Shad; Nameer Khairulla Mohammed; Anis Shobirin Meor Hussin
Journal:  Int J Mol Sci       Date:  2016-11-11       Impact factor: 5.923

  1 in total

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