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酱香大曲中高温放线菌的筛选及其产蛋白酶条件优化
引用本文:王芙蓉,李靖,赵益梅,唐佳代,刘治敏,彭兴龙. 酱香大曲中高温放线菌的筛选及其产蛋白酶条件优化[J]. 中国酿造, 2022, 41(8): 132-136. DOI: 10.11882/j.issn.0254-5071.2022.08.022
作者姓名:王芙蓉  李靖  赵益梅  唐佳代  刘治敏  彭兴龙
作者单位:(1.茅台学院 酿酒工程系,贵州 仁怀 564500;2.仁怀市中等职业学校,贵州 仁怀 564500)
摘    要:该研究从酱香大曲中分离筛选出高产蛋白酶的高温放线菌,对菌株进行形态学观察、生理生化试验和分子生物学鉴定,并通过单因素试验和正交试验研究其产蛋白酶的最适条件。结果表明,分离筛选到一株高产蛋白酶菌株,经鉴定,该菌株为普通高温放线菌(Thermoactinomyces vulgaris)。该菌株产蛋白酶的最优条件为pH 6.5,发酵温度45℃,发酵时间5 d,在此条件下,蛋白酶活力最高,为214.99 U/g,这对酱香大曲中酱香风味物质形成的研究有一定的参考意义。

关 键 词:酱香大曲  高温放线菌  分离  鉴定  16S r RNA  蛋白酶  条件优化

Screening of high-temperature actinomycetes in sauce-flavor Daqu and optimization of protease-producing conditions
WANG Furong,LI Jing,ZHAO Yimei,TANG Jiadai,LIU Zhimin,PENG Xinglong. Screening of high-temperature actinomycetes in sauce-flavor Daqu and optimization of protease-producing conditions[J]. China Brewing, 2022, 41(8): 132-136. DOI: 10.11882/j.issn.0254-5071.2022.08.022
Authors:WANG Furong  LI Jing  ZHAO Yimei  TANG Jiadai  LIU Zhimin  PENG Xinglong
Affiliation:(1.Department of Liquor Engineering, Moutai Institute, Renhuai 564500, China; 2.Renhuai Secondary Vocational School, Renhuai 564500, China)
Abstract:The high-temperature actinomycetes with high protease yield was isolated and screened from sauce-flavor Daqu, identified by morphological observation, physiological and biochemical tests and molecular identification, and the optimum conditions for protease production were studied by single factor tests and orthogonal tests. The results showed that a proteinase-producing strain was isolated and screened, which was identified as Thermoactinomyces vulgaris. The optimal conditions for protease production by the strain were pH 6.5, fermentation temperature 45 ℃ and time 5 d, under the conditions, the protease production activity of the strain was the highest, which was 214.99 U/g, which had certain reference significance for the study on the formation of pickles flavor substances in sauce-flavor Daqu.
Keywords:sauce-flavor Daqu  high temperature actinomycetes  isolation  identification  16S rRNA  protease  optimization  
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