Dutta Soma Gupta, Shaik Anver Basha, Ganesh Kumar C, Kamal Ahmed
Medicinal Chemistry and Biotechnology Division, CSIR-Indian Institute of Chemical Technology, Hyderabad, 500007, India.
Department of Biotechnology, Acharya Nagarjuna University, Guntur, 522510, India.
3 Biotech. 2017 Jul;7(3):221. doi: 10.1007/s13205-017-0866-7. Epub 2017 Jul 4.
The present study illustrates the optimization and characterization of β-glucosidase from a bacterial isolate, strain SG9. Sixty-eight different variables were first screened by one factor at a time method. The screened variable optimization was then performed by Plackett-Burman design followed by Box-Behnken response surface methodology. Thirty-one variables were screened, of which five variables were found to be significant. Box-Behnken design was then performed using the most significant variables, viz., esculin, KHPO and MgSO. The maximum enzyme activity was observed with an optimal medium composition of esculin (1.9 g/L), KHPO (0. 5 g/L) and MgSO (0.3 g/L) with a predicted value of 3392.01 IU. The maximum β-glucosidase production achieved was 3340 IU. The bacterial strain was identified by 16S rRNA gene sequence and biochemical characterization. The strain was identified as Bacillus stratosphericus and is a first report of its kind.
本研究阐述了从细菌菌株SG9中提取的β-葡萄糖苷酶的优化及特性。首先采用一次一个因素的方法对68个不同变量进行筛选。然后通过Plackett-Burman设计进行筛选变量的优化,随后采用Box-Behnken响应面法。筛选出31个变量,其中5个变量被发现具有显著性。接着使用最显著的变量,即七叶苷、KHPO和MgSO进行Box-Behnken设计。在七叶苷(1.9 g/L)、KHPO(0.5 g/L)和MgSO(0.3 g/L)的最佳培养基组成下观察到最大酶活性,预测值为3392.01 IU。实现的最大β-葡萄糖苷酶产量为3340 IU。通过16S rRNA基因序列和生化特性对该细菌菌株进行了鉴定。该菌株被鉴定为平流层芽孢杆菌,这是此类的首次报道。