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<p class="TitleMain">Statistically Designed Bioprocess for Enhanced Production of Alkaline Protease in <em>Bacillus cereus</em> HP_RZ17</p>

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Title Statement <p class="TitleMain">Statistically Designed Bioprocess for Enhanced Production of Alkaline Protease in <em>Bacillus cereus</em> HP_RZ17</p>
 
Added Entry - Uncontrolled Name Jadhav, H P; Department of Microbiology, P S G V P Mandal’s Arts, Science, and Commerce College, Shahada 425 409 (MS), India
Sayyed, R Z; Department of Microbiology, P S G V P Mandal’s Arts, Science, and Commerce College, Shahada 425 409 (MS), India
Shaikh, S S; Department of Microbiology, P S G V P Mandal’s Arts, Science, and Commerce College, Shahada 425 409 (MS), India
Bhamre, H M; S S V P S L K Dr P R Ghogrey Science College, Dhule 424 005 (MS), India
Sunita, Kumari ; Department Botany, DDU Gorakhapur University, Gorakhpur (UP), India
El Enshasy, H A; City of Scientific Research and Technology Applications, New Burg Al Arab, Alexandria, Egypt
 
Uncontrolled Index Term Central Composite Design; Optimization; Plackett Burman Design; Response Surface Methodology; Scale-up
 
Summary, etc. <p class="Abstract">Alkaline protease is one of the bulk enzymes having wide commercial demand for various applications. It is commercially produced by a submerged fermentation process employing various bacteria, <em>Bacillus</em> sp. being the most widely used species. Statistical optimization of the process for the production of alkaline proteases from rhizospheric bacteria and its application in the biocontrol of plant pathogens has not been explored fully and needs to be studied for the development of efficient bioprocess. We report the enhanced production of alkaline protease in the minimal salt medium (MSM) optimized using statistical approaches such as Plackett Burman Design (PBD) and Response Surface Methodology (RSM). In the first step; PBD, among the total eight variables, three variables namely, yeast extract (<em>p</em>&lt;0.05), fructose (<em>p</em>&lt;0.05) and pH (<em>p</em>&lt;0.05) influenced the production of alkaline protease by <em>Bacillus cereus </em>HP_RZ17. These three variables were further analyzed in the second step i.e. Central Composite Design (CCD) of RSM. The optimum yield of alkaline protease by <em>B. cereus </em>HP_RZ17 (130.72 UmL<sup>-1</sup>) was obtained under the optimal conditions such as yeast extract (0.899% w/v), fructose (0.873% w/v), and pH (11.25) of production media. The statistically optimized values of variables used for the scale-up of the process at 5 L capacity bioreactor enhanced the alkaline protease yield (132.48 UmL<sup>-1</sup>) by 1.09 fold vis-à-vis un-optimized protocol (121.96 UmL<sup>-1</sup>) in <em>B. cereus </em>HP_RZ17.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2020-08-26 14:54:13
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/39515
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 06
 
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