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Optimized production of extracellular alkaline protease from Aspergillus tamarii with natural by-products in a batch stirred tank bioreactor
Preparative Biochemistry & Biotechnology ( IF 2.9 ) Pub Date : 2020-06-15
Nagarajan Arumugam, Balaji Dhandapani, Surianarayanan Mahadevan

Proteolytic enzymes are one of the significant commercially manufactured enzymes. The manufacture of extracellular alkaline protease by Aspergillus tamarii MTCC5152 was explored using several agricultural by-products as substrates viz., cottonseed meal, wheat bran, skimmed milk and soya flour in submerged fermentation, were found to be efficient for enzyme production and commercially significant. Response surface methodology (RSM) is a statistics-based experimental design, sourced to explore the impact of physical parameters on the manufacture of protease from A. tamarii in a batch stirred tank bioreactor (STBR). The four substantial variables (pH, temperature, inoculum size, and agitation) were carefully chosen for optimization analyses and the statistical pattern was created using a central composite design and the quadratic model has been developed. The optimum conditions for protease production (1.51 U mL−1) where: pH 6.4, temperature 27 °C, inoculum size 2.6%, and agitation 327 rpm. The analysis revealed that the anticipated values were in accord with trial data with a correlation coefficient of 0.969.



中文翻译:

在间歇搅拌罐式生物反应器中,利用天然副产物优化了塔玛曲霉胞外碱性蛋白酶的生产

蛋白水解酶是重要的商业生产的酶之一。探索了塔玛曲霉MTCC5152的细胞外碱性蛋白酶的生产,它使用了几种农业副产品作为底物,即棉籽粉,麦麸,脱脂牛奶和大豆粉在深层发酵中被发现对生产酶有效,并且具有商业意义。响应面方法(RSM)是一种基于统计的实验设计,旨在探究物理参数对番茄的生产过程的影响在间歇搅拌槽生物反应器(STBR)中。仔细选择了四个基本变量(pH,温度,接种量和搅拌)以进行优化分析,并使用中央复合设计创建了统计模式,并开发了二次模型。蛋白酶生产的最佳条件(1.51 U mL -1),其中:pH 6.4,温度27°C,接种量2.6%,搅拌327 rpm。分析表明,预期值与试验数据一致,相关系数为0.969。

更新日期:2020-06-15
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