Optimization of Solid State Fermentation Media for Soluble Dietary Fiber Production by Hericium erinaceus

Abstract:

In this paper, the optimum media supplemented to the basic substrate wheat bran (WB) for getting maximum soluble dietary fiber (SDF) production under solid state fermentation (SSF) by Hericium erinaceus was investigated. Soybean meal was suitable for mycelial growth as nitrogen source, four inorganic salts (KH2PO4、ZnSO4、FeSO4 and MgCl2) could increase SDF production significantly. Artificial neural networks (ANNs) and genetic algorithms (GA) formalisms were used for modeling the non-linear relationship between the fermentation media and SDF production and optimizing the model, respectively. After optimization, parameters of the five media supplemented to WB were (mg g-1 WB): soybean meal 124.3, KH2PO4 0.18, ZnSO4 0.6, FeSO4 0.2, MgCl2, 1.2. The SDF production increased to 13.06±0.51 g 100g-1 in the validation experiment, which was 4.68 fold as compared with control.

• Periodical: Advanced Materials Research (Volume 421)
• Pages: 81-89
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.421.81
• Online since: December 2011
• Authors: Xiao Hong Yu, Zhen Xin Gu, Kang Tu, Rong Shao, Xin Jiang Jin
• Keywords: Artificial Neural Network (ANN), Genetic Algorithm (GA), Optimization, Solid-State Fermentation (SSF), Soluble Dietary Fiber

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