期刊
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
卷 167, 期 -, 页码 1491-1498出版社
ELSEVIER
DOI: 10.1016/j.ijbiomac.2020.11.102
关键词
Arthrospira platensis; Extracellular protease; Box-Behnken design; Growth-kinetic modelling; Biochemical characterization
资金
- Tunisian Ministry of Higher Education and Scientific Research
The study identified a novel extracellular neutral protease produced from Arthrospira platensis with strong proteolytic activity; statistical modeling was used to predict the growth kinetic values of A. platensis and optimal culture conditions for protease production were found; the neutral protease could be easily used in the food industry due to its important activity at neutral pH and low production cost.
Proteases are industrially important catalysts. They belong to a complex family of enzymes that perform highly focused proteolysis functions. Given their potential use, there has been renewed interest in the discovery of proteases with novel properties and a constant thrust to optimize the enzyme production. In the present study, a novel extracellular neutral protease produced from Arthrospira platensis was detected and characterized. Its proteolytic activity was strongly activated by beta-mercaptoethanol, 5,5-dithio-bis-(2-nitrobenzoic acid) and highly inhibited by Hg2+ and Zn2+ metal ions which support the fact that the studied protease belongs to the cysteine protease family. Using statistical modelling methodology, the logistic model has been selected to predict A. platensis growth-kinetic values. The optimal culture conditions for neutral protease production were found using Box-Behnken Design. The maximum experimental protease activities (159.79 U/mL) was achieved after 13 days of culture in an optimized Zarrouk medium containing 0.625 g/L NaCl, 0.625 g/L K2HPO4 and set on 9.5 initial pH. The extracellular protease of A. platensis can easily be used in the food industry for its important activity at neutral pH and its low production cost since it is a valuation of the residual culture medium after biomass recovery. (C) 2020 Elsevier B.V. All rights reserved.
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