Production of protease with Bacillus megaterium DSM32: Partial characterisation of the enzyme and modelling of the production

Author:

Coban H.B.123ORCID

Affiliation:

1. Izmir International Biomedicine and Genome Institute, Dokuz Eylul University, Balcova, 35340, Izmir, Turkey

2. Izmir Health Technologies Development and Accelerator (BioIzmir), Dokuz Eylul University, Balcova, 35340, Izmir, Turkey

3. Izmir Biomedicine and Genome Center, Dokuz Eylul University, Balcova, 35340, Izmir, Turkey

Abstract

Abstract Proteases hold an important position in today's world commercial enzyme market. Among various microbial producer genera, Bacillus is leading the commercial protease production. However, industry is still actively looking for new microbial protease producers with distinctive properties. Therefore, this study was undertaken for the evaluation of protease production by Bacillus megaterium DSM 32 strain in terms of its protease productivity, calculation of various production kinetics, partial characterisation of the enzyme, and modelling the protease production process. As results, the highest protease activity, specific cellular protease production rate, and protease productivity were calculated as 255.42 U mL−1, 36.2514 U g−1, and 16.1313 U mL−1 h−1, respectively, in shake flask fermentations. Partial characterisation studies showed that the enzyme has 45 °C and pH 8 as optimum working conditions, and its activity increased by 24% with the addition of 5 mM Mn+2 to the reaction medium. Additionally, the enzyme showed high stability and kept almost full activity in a cell-free medium for 20 days at 4 °C. Furthermore, modified Gompertz model provided the best fit in describing protease production with the lowest error and high fit values.

Funder

Dokuz Eylul University

BAP

Publisher

Akademiai Kiado Zrt.

Subject

Food Science

Reference31 articles.

1. Statistical modelling and optimization of protease production by an autochthonous Bacillus aryabhattai Ab15-ES: a response surface methodology approach;Adetunji, A.I.,2020

2. Purification and characterization of two thermostable protease fractions from Bacillus megaterium;Asker, M.M.S.,2013

3. Exogenous proteases for meat tenderization;Bekhit, A.E.,2014

4. Optimization of alkaline protease production by Bacillus cereus FT 1 isolated from soil;Bhakthavalsalam, A.,2018

5. A review on production of serine alkaline protease by Bacillus spp;Bhunia, B.,2012

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