Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology

Physical optimization is important for enzyme production by fermentation process. In general, fermentation process at optimal condition increases the expression and production level of enzyme to many times in comparison with their natural production. This study was focused on the optimization of the...

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Main Authors: Nor Hidayah Bohari, Noor Azlina Ibrahim
Format: Non-Indexed Article
Language:English
Published: 2016
Online Access:http://discol.umk.edu.my/id/eprint/8296/1/Physical%20optimization%20of%20thermostable%20alkaline%20protease%20by%20E.%20coli%20BL21%20%28DE3%29%20plyss%20harboring%2050a%20protease%20gene%20using%20response%20surface%20methodology.pdf
http://discol.umk.edu.my/id/eprint/8296/
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spelling my.umk.eprints.82962022-05-23T10:34:24Z http://discol.umk.edu.my/id/eprint/8296/ Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology Nor Hidayah Bohari Noor Azlina Ibrahim Physical optimization is important for enzyme production by fermentation process. In general, fermentation process at optimal condition increases the expression and production level of enzyme to many times in comparison with their natural production. This study was focused on the optimization of the physical factors that influenced the thermostable alkaline protease production. The induction and incubation time were studied using conventional method while the other three factors which are incubation temperature, initial pH of medium and agitation speed were optimized by response surface methodology (RSM). The interaction effects among these factors were explained using response plot and the model adequacy was satisfactory as the coefficient of determination (R²) was 96.48%. The enhancement of thermostable protease from 197.83 U/ml to 325.89 U/ml was achieved using both conventional and statistical approach of response surface methodology (RSM). This present study proved that physical optimization significantly affects the protease production and the optimum physical condition obtained may applied in large scale process. 2016 Non-Indexed Article NonPeerReviewed pdf en http://discol.umk.edu.my/id/eprint/8296/1/Physical%20optimization%20of%20thermostable%20alkaline%20protease%20by%20E.%20coli%20BL21%20%28DE3%29%20plyss%20harboring%2050a%20protease%20gene%20using%20response%20surface%20methodology.pdf Nor Hidayah Bohari and Noor Azlina Ibrahim (2016) Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology. Jurnal Teknologi, 78 (1). pp. 121-129. ISSN 2180-3722
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
language English
description Physical optimization is important for enzyme production by fermentation process. In general, fermentation process at optimal condition increases the expression and production level of enzyme to many times in comparison with their natural production. This study was focused on the optimization of the physical factors that influenced the thermostable alkaline protease production. The induction and incubation time were studied using conventional method while the other three factors which are incubation temperature, initial pH of medium and agitation speed were optimized by response surface methodology (RSM). The interaction effects among these factors were explained using response plot and the model adequacy was satisfactory as the coefficient of determination (R²) was 96.48%. The enhancement of thermostable protease from 197.83 U/ml to 325.89 U/ml was achieved using both conventional and statistical approach of response surface methodology (RSM). This present study proved that physical optimization significantly affects the protease production and the optimum physical condition obtained may applied in large scale process.
format Non-Indexed Article
author Nor Hidayah Bohari
Noor Azlina Ibrahim
spellingShingle Nor Hidayah Bohari
Noor Azlina Ibrahim
Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology
author_facet Nor Hidayah Bohari
Noor Azlina Ibrahim
author_sort Nor Hidayah Bohari
title Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology
title_short Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology
title_full Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology
title_fullStr Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology
title_full_unstemmed Physical optimization of thermostable alkaline protease by E. coli BL21 (DE3) plyss harboring 50a protease gene using response surface methodology
title_sort physical optimization of thermostable alkaline protease by e. coli bl21 (de3) plyss harboring 50a protease gene using response surface methodology
publishDate 2016
url http://discol.umk.edu.my/id/eprint/8296/1/Physical%20optimization%20of%20thermostable%20alkaline%20protease%20by%20E.%20coli%20BL21%20%28DE3%29%20plyss%20harboring%2050a%20protease%20gene%20using%20response%20surface%20methodology.pdf
http://discol.umk.edu.my/id/eprint/8296/
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score 13.188404