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通过中心复合设计的多响应分析制定培养基成分以提高泛菌中几丁质酶的产量

Formulation of medium constituents by multiresponse analysis of central composite design to enhance chitinase production in Pantoea dispersa.

作者信息

Gohel Vipul, Trivedi Smita, Vyas Pranav, Chhatpar H S

机构信息

Department of Microbiology and Biotechnology Centre, Faculty of Science, MS University of Baroda, Vadodara 390 002, India.

出版信息

Indian J Exp Biol. 2004 Nov;42(11):1123-31.

Abstract

In the present study, a high chitinase producing strain Pantoea dispersa was isolated from the sea dumps at Bhavnagar, India. Chitin, urea, CaCl2 and MgSO4 x 7H2O were variables used in central composite design for chitinase production. Chitinase, biomass and pH were the responses used in different models to evaluate individually fit ones. Quadratic model was found to be fit for chitinase response whereas in the case of biomass and pH, linear model was found to be fit without the effect of others. Chitinase production was optimized with respect to other responses such as biomass and pH in multiresponse analysis of response surface design by using desirability approach. In multiresponse analysis, following medium formulation (g/l), chitin, 15; urea, 0.32; CaCl2, 0.10 and MgSO4 x 7H2O, 0.08 was found to predict optimum chitinase production of 482.77 units/ml with overall highest desirability of 0.854 as compared to other formulations. The selection of model was done on the basis of high Adjusted R-squared value and lowered p-value for each model in individual analysis of each response. In multiresponse experiment, it was found that for response chitinase quadratic model and for responses pH and biomass linear models were well fit. Through desirability analysis, it was found that in the chitinase production, pH was essential as compared to biomass in P. dispersa. Endochitinase and chitobiase actvities were also studied.

摘要

在本研究中,从印度巴夫纳加尔的海洋垃圾场分离出了一株高产几丁质酶的菌株——分散泛菌。几丁质、尿素、氯化钙和七水硫酸镁是中心复合设计中用于几丁质酶生产的变量。几丁质酶、生物量和pH值是不同模型中用于评估各自拟合情况的响应指标。发现二次模型适用于几丁质酶响应,而对于生物量和pH值,发现线性模型在无其他因素影响时适用。通过使用期望函数法在响应面设计的多响应分析中,针对生物量和pH值等其他响应指标对几丁质酶生产进行了优化。在多响应分析中,发现以下培养基配方(g/l):几丁质15、尿素0.32、氯化钙0.10和七水硫酸镁0.08,与其他配方相比,可预测出最佳几丁质酶产量为482.77单位/毫升,总体最高期望度为0.854。模型的选择是基于每个响应指标单独分析中每个模型的高调整R平方值和低p值。在多响应实验中,发现对于几丁质酶响应二次模型适用,对于pH值和生物量响应线性模型适用。通过期望度分析发现,在分散泛菌的几丁质酶生产中,与生物量相比,pH值至关重要。还研究了内切几丁质酶和壳二糖酶的活性。

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