Neural Network Analysis for Fermentation Production Technics of Succinic Acid from Crop Straw Hydrolysate

FOOD SCIENCE ›› 2008, Vol. 29 ›› Issue (8): 471-474.

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Neural Network Analysis for Fermentation Production Technics of Succinic Acid from Crop Straw Hydrolysate

LI Xing-Jiang, PAN Li-Jun, JIANG Shao-Tong

School of Biotechnology and Food Engineering,Hefei University of Technology,Hefei 230009,China

Online:2008-08-15 Published:2011-08-26

Abstract

Abstract: The results of single factor test showed that volume percentages of CO2 and H2 as well as biotin concentration in basic medium have obvious effects on fermentation of crop straw hydrolysate for producing succinic acid. The neural network analysis showed that 75.80 g/L yield of succinic acid is gained under the conditions of 62% CO2,5.4% H2 and 7.8 mmol/L biotin. The neural network has the considerable simulation and prediction abilities.

Key words: crop straw, Actinobacillus succinogenes, BP neural network

LI Xing-Jiang, PAN Li-Jun, JIANG Shao-Tong. Neural Network Analysis for Fermentation Production Technics of Succinic Acid from Crop Straw Hydrolysate[J]. FOOD SCIENCE, 2008, 29(8): 471-474.

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Neural Network Analysis for Fermentation Production Technics of Succinic Acid from Crop Straw Hydrolysate

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