摘要: |
利用苯胺蓝鉴别培养基及产酶培养基进行菌种筛选,从甘肃兴隆山分离得到的10株菌株中筛选到一株高产木质素酶活力的菌株L-520,对该菌株进行16S rDNA鉴定,确定该菌为荧光假单胞杆菌(Pseudomonas fluorescens)。分别考察了接种量、装液量,初始pH对L-520发酵产酶的影响,以及碳源、氮源对木质素酶活力的影响。结果得到最佳培养基为:蔗糖 1%,NH4Cl 0.2%, KH2PO4 0.1%,MgSO4?7H2O 0.05%。优化后的发酵条件为:初始pH 5,接种量3%,装液量50%。经发酵工艺优化后,漆酶(Lac)、木质素过氧化物酶(LiP)、锰过氧化物酶(MnP)三种酶活分别为16.43 U/L, 106.32 U/L, 95.89 U/L,与初始酶活相比分别提高了8.7、14.74、11.09倍。本研究筛选得到的荧光假单胞杆菌有助于染料废水中偶氮染料的降解。 |
关键词: 木质素酶 荧光假单胞杆菌 菌种筛选 发酵优化 |
DOI:10.14188/j.ajsh.2018.04.009 |
分类号:Q93 |
基金项目: |
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Screening of Pseudomonas fluorescens L-520 with high ligninase activity and optimization of its fermentation process |
SHI Xiaoling, LIN Shenghong, LIU Zhenfei, PAN Xiaomei, ALI Ihsan, TIAN Yongqiang
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School of Chemical and Biological Engineering, Lanzhou Jiaotong university, Lanzhou 730070, Gansu, China
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Abstract: |
A strain L-520 of high yield lignin enzyme activity was screened from 10 strains isolated from the Xinlong mountain in Gansu by aniline blue differential medium. The strain was identified as Pseudomonas fluorescens by 16S rDNA sequence analysis. The influencing factors of enzyme production fermentation of L-520, such as inoculum volume, liquid volume, initial pH were studied, and the carbon source and nitrogen source effects on the activity of lignin enzyme were also investigated. The results showed that, the optimum fermentation medium was: sucrose 1%, NH4Cl 0.2%, KH2PO4 0.1%,MgSO4·7H2O 0.05%; the optimum cultivation conditions were initial pH 5, inoculum amount 3%, liquid volume 50%. After optimization of the fermentation process, the activities of laccase(Lac), lignin peroxidase(LiP) and manganese-dependent peroxidase(MnP) were 16.43 U/L, 106.32 U/L and 95.89 U/L, respectively, which were increased 8.7, 14.74 and 11.09 times, respectively, compared with the initial enzyme activity. Pseudomonas fluorescens L-520, the high-yielding ligninase strain obtained in this study could be of great importance for the degradation of azo dyes in dye wastewater. |
Key words: ligninase Pseudomonas fluorescens strain screening fermentation optimization |