2021
DOI: 10.1186/s43141-021-00123-4
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Statistical factorial designs for optimum production of thermostable α-amylase by the degradative bacterium Parageobacillus thermoglucosidasius Pharon1 isolated from Sinai, Egypt

Abstract: Background This study aimed to isolate potent thermophilic and amylolytic bacteria from a hot spring of Pharaoh’s bath, Sinai, Egypt, and screen its degradative activity. The amylolytic activity was further optimized using a statistical full factorial design followed by response surface methodology. Results A thermophilic bacterium was isolated from the hot spring of Pharaoh’s Bath, Sinai, Egypt. The isolate produced amylase, cellulase, and caseina… Show more

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Cited by 10 publications
(10 citation statements)
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“…RSM is a powerful approach for optimizing various applications such as composition of media, bioprocess improvement, physical and chemical factors affecting microbial growth, and enzyme and protein yield 28 . Media optimization is achieved by monitoring the impact of the components/nutrients on the microbial development using fermentation protocols, choosing critical parameters and optimizing them 29 .…”
Section: Discussionmentioning
confidence: 99%
“…RSM is a powerful approach for optimizing various applications such as composition of media, bioprocess improvement, physical and chemical factors affecting microbial growth, and enzyme and protein yield 28 . Media optimization is achieved by monitoring the impact of the components/nutrients on the microbial development using fermentation protocols, choosing critical parameters and optimizing them 29 .…”
Section: Discussionmentioning
confidence: 99%
“…Abdel-Fattah et al [ 34 ] also applied RSM for conditions optimization of thermostable amylase production in Bacillus licheniformis isolate AI20. Saeed et al [ 35 ] studied statistical factorial designs for optimum production of thermostable α-amylase by the bacterium Parageobacillus thermoglucosidasius . The optimization of conditions for, thermostable amylase production through RSM, can improve the product quality.…”
Section: Discussionmentioning
confidence: 99%
“…Response surface methodology, including central composite and Box–Behnken, is a statistical modelling tool for estimating the behaviour of process parameters and understanding their interactions on the investigated response (process output) (El‐Sayed & Zaki, 2022; Saeed et al, 2020, 2021; Zaki et al, 2019, 2021, 2022; Zaki & El‐Sayed, 2021) Thus, RSM is an efficient methodology for improving and optimizing bioprocesses. In literature, Ahmady‐Asbchin (2016) proved the efficiency of the Box–Behnken model of RSM using Design‐Expert software to optimize Cd +2 biosorption on Pseudomonas aeruginosa with a maximum capacity of 0.56 mmol g −1 .…”
Section: Discussionmentioning
confidence: 99%