Optimization of L-asparaginase from Enterobacter aesburiae via response surface approach

Author:

Manhas Sweeta1,Khan Bushra2,Sharma Vikas1,Koul Diksha2,Chaubey Asha2,Wani Owais Ali1,Malik A. Raouf3

Affiliation:

1. Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu

2. CSIR- Indian Institute of Integrative Medicines

3. Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir

Abstract

Abstract L-asparaginase, an important biopharmaceutical, has been a boon to cancer patients, especially for the therapeutic treatment of acute lymphoblastic leukemia. However, asparaginase formulations from E. coli and Erwinia species currently being used are associated with potential side effects causing hindrances towards a successful therapeutic treatment. Therefore, optimization and production of asparaginase from varied microbial sources has been the aim of several studies to overcome the hypersensitive and toxicological responses associated with presently used drug formulations. In this study, the possibility of using Enterobacter aesburiae strain R16C1/MT93543isolated from black gram rhizospheric soil sample as L-asparaginase source of industrial importance, was investigated. Different fermentation process parameters for the production of enzyme were optimized using submerged fermentation in shake flask. Box Behnken design was used to optimize and study individual as well as interactive effect of rpm, inoculum size (%) and temperature for asparaginase activity. Comparable values for enzyme activity were obtained from experimental results and software predicted values. As per interaction data obtained for the selected fermentation parameters, rpm, size of inoculum and temperature showed significant effects at interactive levels, thus, showing effect on production of enzyme. A significant improvement in enzyme activity was obtained using optimized environment. Higher enzyme activity of 40.36 U/ml was observed in M9 medium which was 4.4-fold higher than the initial activity of enzyme.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3