Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling

Bekler, Fatma Matpan; Yalaz, Seçil; Güven, Reyhan Gül; Güven, Kemal

doi:10.2298/jsc190227021b

Cited by 8 publications

(8 citation statements)

References 30 publications

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“…While for α-amylase production only 7 variables exerted a significant effect on enzyme production distinguished into 5 positive variables that exerted enhancement effect (RS weight, (NH 4 ) 2 SO 4, CaCl 2 , baker's yeast, and PS weight) and 2 negative variables (lactose, and CuSO 4 ). The enhancement effect of CaCl 2 on α-amylase production was also reported by Balkan et al (2011) andBekler et al (2019). While, Retnaningrum & Purwestri (2016) and Hazaa et al (2018) found α-amylase production was enhanced by the addition of, starch and yeast extract as carbon and nitrogen sources, maltose followed by lactose, respectively.…”

Section: Statistical Optimization Of Splicatus Mk559563 Xylanase and α-Amylase Production Plackett-burman Design (Pb)supporting

confidence: 65%

Statistical Optimization of Industrially Potent Streptomyces plicatus MK559563 Xylanase And Α-Amylase Production Utilizing Agricultural Wastes

Amer

Mostafa

2020

Egypt. J. Microbiol.

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Section: Statistical Optimization Of Splicatus Mk559563 Xylanase and α-Amylase Production Plackett-burman Design (Pb)supporting

confidence: 65%

Statistical Optimization of Industrially Potent Streptomyces plicatus MK559563 Xylanase And Α-Amylase Production Utilizing Agricultural Wastes

Amer

Mostafa

2020

Egypt. J. Microbiol.

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“…Likewise, the producing strain enhances its enzyme synthesis depending on its phase of growth (lag, exponential, etc.) 24 and for this reason, there is an optimum cultivation time when the enzyme activity is at its top. Finally, if the lines of two parameters intersect twice at different point of the observed interval, these two parameters have a joint influence on the response.…”

Section: Optimization Of the Process Parametersmentioning

confidence: 99%

Optimization of the simultaneous production of cellulase and xylanase by submerged and solid-state fermentation of wheat chaff

Jovanović

Vučurović

Bajić

et al. 2020

JSCS

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Wheat chaff as an agricultural waste represents a cheap raw material for biotechnological processes. With its lignocellulosic composition, it is suitable for producing hydrolytic enzymes for second generation renewable fuel production technologies. The aim of this work was to optimize the process parameters (cultivation temperature 25-35 °C, pH value 4-6 and cultivation time 3-7 days) of the cultivating fungi (Trichoderma reesei QM 9414) on a media based on wheat chaff by submerged and solid-state techniques, in order to enhance and compare the two types of simultaneous cellulase and xylanase production. Optimal conditions for the submerged fermentation were 29.65 °C for temperature, pH 4.27 and 7 days of cultivation, while for the solid-state fermentation, the optimal conditions were 28.01 °C, pH 6.00 and 7 days. The cellulolytic and xylanolytic activities of the obtained cultivation broth filtrates were 0.0535 and 0.1676 U mL-1 for the submerged fermentation, and 0.0407 and 0.1401 U mL-1 for the solid-state fermentation, respectively, and with a 26.77 and 13.39 % enhancement of enzyme activity for submerged fermentation, and a 22.96 and 42.66 % enhancement for solid-state fermentation, respectively, compared to the results obtained before optimization.

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“…RSII-1b and Bacillus tequilensis RG-01, respectively. However, other studies reported the production of amylases at a wider range of temperatures as mentioned and reported by Bekler et al who obtained the maximum level of amylase from Bacillus paralicheniformis at 60°C [ 13 ].…”

Section: Discussionmentioning

confidence: 98%

“…Statistical and mathematical techniques for predicting the behavior of process variables and explaining their interactions, and response surface methodology (RSM) have been applied in the optimization of amylase production [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Statistical factorial designs for optimum production of thermostable α-amylase by the degradative bacterium Parageobacillus thermoglucosidasius Pharon1 isolated from Sinai, Egypt

Saeed

El-Shatoury

Sayed

2021

Journal of Genetic Engineering and Biotechnology

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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 caseinase and was identified by 16S rRNA gene sequencing as Parageobacillus thermoglucosidasius Pharon1 (MG965879). A growth medium containing 1% soluble starch was found to optimize the amylase production. Dinitrosalycalic acid method (DNS) was used to estimate the amount of reducing sugar produced. Statistical full factorial and response surface designs were employed to optimize physical variables affecting the α-amylase production and determine the significant interactions of the studied variables during the fermentation process. According to the results obtained by the response optimizer, the maximum amylase activity reached 76.07 U/mL/ min at 54.1°C, pH 5.6 after 98.5 h incubation under aerobic conditions. Moreover, the produced enzyme was thermostable and retained most of its activity when exposed to a high temperature of 100°C for 120 min. Maximum enzyme activity was attained when the enzyme was incubated at 70°C for 30 min. Conclusions This is the first report of the production of thermostable α-amylase by the potent thermophilic Parageobacillus thermoglucosidasius. The enzyme endured extreme conditions of temperature and pH which are important criteria for commercial and industrial applications.

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Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling

Cited by 8 publications

References 30 publications

Statistical Optimization of Industrially Potent Streptomyces plicatus MK559563 Xylanase And Α-Amylase Production Utilizing Agricultural Wastes

Statistical Optimization of Industrially Potent Streptomyces plicatus MK559563 Xylanase And Α-Amylase Production Utilizing Agricultural Wastes

Optimization of the simultaneous production of cellulase and xylanase by submerged and solid-state fermentation of wheat chaff

Statistical factorial designs for optimum production of thermostable α-amylase by the degradative bacterium Parageobacillus thermoglucosidasius Pharon1 isolated from Sinai, Egypt

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