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响应面法:新型苏云金芽孢杆菌抗真菌生物乳化剂的优化

Response surface methodology: optimisation of antifungal bioemulsifier from novel Bacillus thuringiensis.

作者信息

Rajendran Deepak, Venkatachalam Ponnusami, Ramakrishnan Jayapradha

机构信息

School of Chemical and Biotechnology, SASTRA University, Thirumalaisamudram, Thanjavur, Tamil Nadu 613401, India.

Centre for Research on Infectious Diseases (CRID), School of Chemical and Biotechnology, SASTRA University, Thirumalaisamudram, Thanjavur, Tamil Nadu 613401, India.

出版信息

ScientificWorldJournal. 2014;2014:423289. doi: 10.1155/2014/423289. Epub 2014 Oct 14.

Abstract

An antifungal bioemulsifier compound was produced from a novel strain of Bacillus thuringiensis pak2310. To accentuate the production and as the first step to improve the yield, a central composite design (CCD) was used to study the effect of various factors like minimal salts (1X and 3X), glycerol concentration (2% and 4%), beef extract concentration (1% and 3%), and sunflower oil concentration (2% and 4%) on the production of bioemulsifier molecule and to optimize the conditions to increase the production. The E 24 emulsification index was used as the response variable as the increase in surfactant production was seen to be proportional to increased emulsification. A quadratic equation was employed to express the response variable in terms of the independent variables. Statistical tools like student's t-test, F-test, and ANOVA were employed to identify the important factors and to test the adequacy of the model. Under optimum conditions (1X concentration of minimal salts (MS), 2.6% glycerol (v/v), 1% beef extract (w/v), and 2% sunflower oil (v/v)) a 65% increase in yield was produced.

摘要

一种抗真菌生物乳化剂化合物是由苏云金芽孢杆菌pak2310的新型菌株产生的。为了突出产量并作为提高产量的第一步,采用中心复合设计(CCD)来研究各种因素的影响,如最低盐浓度(1X和3X)、甘油浓度(2%和4%)、牛肉提取物浓度(1%和3%)以及向日葵油浓度(2%和4%)对生物乳化剂分子产量的影响,并优化条件以提高产量。E24乳化指数用作响应变量,因为表面活性剂产量的增加与乳化增加成正比。采用二次方程根据自变量来表达响应变量。使用学生t检验、F检验和方差分析等统计工具来识别重要因素并检验模型的充分性。在最佳条件下(最低盐(MS)浓度为1X、甘油2.6%(v/v)、牛肉提取物1%(w/v)和向日葵油2%(v/v)),产量提高了65%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3519/4213991/cf420d1350f2/TSWJ2014-423289.001.jpg

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