摘要
【目的】研究内生真菌菌株YCEF005、YCEF053固态发酵培养基。【方法】通过单因素试验和正交试验设计优化固态发酵培养基基质组成;通过单因素试验和均匀试验设计及神经网络结合遗传算法优化基质外加组分和接种量。【结果】优化的YCEF005培养基基质组成(质量比)为麸皮50%、豆饼粉10%、米糠20%、玉米碎粒20%;YCEF053培养基基质组成为麸皮60%、豆饼粉10%、米糠10%、玉米碎粒20%。YCEF005基质外加组分和接种量(/kg基质)为蔗糖12.96 g、蛋白胨12.70 g、NH4NO3 4.00 g、KH2PO4 1.50 g、Ca SO4 10.00 g、Mg SO4 0.48 g、含水量500 g、接种量24 m L。YCEF053基质外加组分和接种量(/kg基质)为蔗糖13.37 g、蛋白胨14.02 g、Na NO33.85 g、KH2PO4 1.23 g、Ca SO4 10.89 g、Mg SO4 0.52 g、含水量480 g、接种量20 m L。在优化培养基上发酵7-9 d获得最大发酵生物产量。【结论】通过对固态发酵培养基的优化提高了发酵的生物产量。
[Objective] Solid-state fermentation(SSF) media for growth of the two endophytic fungal strains(YCEF005 and YCEF053) were investigated. [Methods] The composition of fermentation substrates were optimized through single factor experiment and orthogonal experimental design. The additional nutrients and inoculum dose on the basis of the fermentation substrates were optimized through the combination of single factor experiment, uniform experimental design as well as artificial neural network with genetic algorithm. [Results] The optimal fermentation substrates for YCEF005 are as follows(W/W): 50% wheat bran, 10% bean cake powder, 20% rice bran, 20% corn flour. The optimal fermentation substrates for YCEF053 are as follows(W/W): 60% wheat bran, 10% bean cake powder, 10% rice bran, 20% corn flour. The optimal additional nutrients and inoculum dose(per kg substrates) for YCEF005 is as follows: sucrose 12.96 g, peptone 12.70 g, NH4NO3 4.00 g, KH2PO41.50 g, Ca SO4 10.00 g, Mg SO4 0.48 g, water content 500 g, inoculum dose 24 m L. The optimal additional nutrients and inoculum dose(per kg substrates) for YCEF053 is as follows: sucrose 13.37 g, peptone 14.02 g, Na NO3 3.85 g, KH2PO4 1.23 g, Ca SO4 10.89 g, Mg SO4 0.52 g, water content 480 g, inoculum dose 20 m L. The maximum fungal biomass was achieved when cultured on the optimal medium for 7–9 d. [Conclusion] The biomass of fungal SSF was improved by optimizing the media compositions.
出处
《微生物学通报》
CAS
CSCD
北大核心
2016年第3期550-558,共9页
Microbiology China
基金
浙江中烟工业有限责任公司重点科技项目~~
关键词
内生真菌
固态发酵
人工神经网络
遗传算法
Endophytic fungi
Solid-state fermentation
Artificial neural network
Genetic algorith