TAN Xian-dong, LU Shang-fei, HU Wei, WEI Kun, YANG Yi-jin. Optimization of Technological Conditions for Producing Ganoderma lucidum Fungal Substance by Solid State Fermentation of Panax notoginseng Residues[J]. Science and Technology of Food Industry, 2020, 41(18): 130-134. DOI: 10.13386/j.issn1002-0306.2020.18.021
Citation: TAN Xian-dong, LU Shang-fei, HU Wei, WEI Kun, YANG Yi-jin. Optimization of Technological Conditions for Producing Ganoderma lucidum Fungal Substance by Solid State Fermentation of Panax notoginseng Residues[J]. Science and Technology of Food Industry, 2020, 41(18): 130-134. DOI: 10.13386/j.issn1002-0306.2020.18.021

Optimization of Technological Conditions for Producing Ganoderma lucidum Fungal Substance by Solid State Fermentation of Panax notoginseng Residues

  • Technological conditions of producing Ganoderma lucidum fungal substance by solid state fermentation of Panax notoginseng residues were studied. Based on the single factor experiment,fermentation technological conditions were optimized by response surface analysis with inoculum size,fermentation temperature,fermentation time as influencing factors and biomass as response value. Results showed that inoculum size and fermentation time had significant effects on fermentation results(P<0.01),fermentation temperature had significant effects on fermentation results(P<0.05),and the interaction between inoculum size and fermentation time and that of fermentation temperature and fermentation time were very significant(P<0.01).Optimum fermentation technological conditions were as follows:Inoculum size 15.2%,fermentation temperature 28.4℃,fermentation time 14 d. Under these conditions,the predicted value and verification experimental value of biomass per gram of Ganoderma lucidum fungal substance were 0.4327and 0.4205 g,respectively,and the relative error was 2.82%.The production of Ganoderma lucidum from Panax notoginseng residues by solid state fermentation provides a new way for the resource utilization of Panax notoginseng residues. The response surface analysis method has high accuracy and small error in the optimization of fermentation conditions.
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