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夏桑菊中药渣发酵菌种筛选及其发酵条件优化

Screening of fermentation strains of traditional Chinese medicine residue from Xiasangju and fermentation conditions optimization

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【作者】 林可心周庆雯张俊豪舒志恒胡超兰时乐曾卓

【Author】 LIN Kexin;ZHOU Qingwen;ZHANG Junhao;SHU Zhiheng;HU Chao;LAN Shile;ZENG Zhuo;College of Bioscience and Biotechnology, Hunan Agricultural University;College of Life and Environmental Sciences, Hunan University of Arts and Sciences;

【通讯作者】 曾卓;

【机构】 湖南农业大学生物科学技术学院湖南文理学院生命与环境科学学院

【摘要】 该研究以总生物碱含量为评价指标,从长期堆积的夏桑菊中药渣中分离筛选提高夏桑菊中药渣生料发酵中总生物碱含量的菌株,通过形态学特征、生理生化试验和16S r DNA序列分析对菌株进行鉴定,并通过单因素试验及响应面法对菌株发酵条件进行优化。结果表明,共分离纯化出6株可提高夏桑菊中药渣中总生物碱的菌株(L-1~L-6),其中菌株L-1发酵物料中总生物碱含量最高(24.89 mg/g),其被鉴定为枯草芽孢杆菌(Bacillus subtilis)。最优发酵条件为:物料(夏桑菊中药渣80 g+麦麸10 g+豆饼粉10 g)与水的固水比1:1(g:m L),装料量50 g/250 mL,接种量6.7%,发酵时间6 d,初始pH值6.5。在此优化条件下,总生物碱含量达31.15 mg/g。

【Abstract】 Using the total alkaloid content as the evaluation index, the strains that increased the total alkaloid content in raw material of Xiasangju traditional Chinese medicine residue were isolated and selected from the long-term stacking of Xiasangju traditional Chinese medicine residue, and identified by morphological characteristics, physiological and biochemical tests, and 16S r DNA sequence analysis, and the fermentation conditions of the strains were optimized through single-factor experiments and response surface methodology. The results showed that a total of 6 strains(L-1-L-6)that could increase the total alkaloid contents in Xiasangju traditional Chinese medicine residue were isolated and purified. Among them, the total alkaloid content in the fermentation material by strain L-1 was the highest(24.89 mg/g) and the strain was identified as Bacillus subtilis. The optimal fermentation conditions were: material(Xiasangju traditional Chinese medicine residue 80 g + wheat bran 10 g + soybean cake powder 10 g) and water ratio 1∶1(g∶m L), loading volume 50 g/250 ml, inoculum 6.7%, fermentation time 6 d, and initial pH 6.5. Under these optimal conditions, the total alkaloid content reached 31.15 mg/g.

【基金】 湖南省自然科学基金常德联合基金项目(2021JJ50130)
  • 【分类号】X172;TQ920.6;X787
  • 【下载频次】120
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