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

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Published: Nov 10, 2019
DOI: https://doi.org/10.2298/JSC190227021B
Keywords:
alpha-amylase Bacillus paralicheniformis optimization response sur¬face methodology

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Fatma Matpan Bekler
Department of Biology, Faculty of Science, Dicle University, 21280 Diyarbakır
Seçil Yalaz
Department of Statistics, Faculty of Science, Dicle University, 21280 Diyarbakır
Reyhan Gül Güven
Science Teaching Section, Education Faculty, Dicle University, 21280 Diyarbakir
Kemal Güven
Department of Molecular Biology and Genetics, Faculty of Science, Dicle University, 21280 Diyarbakır

Abstract

A novel amylolytic enzyme producing thermoalkaliphilic bacterium, the source of industrially used enzymes was isolated. Isolated strain was identified by morphological, physio-biochemical tests and the 16S rRNA gene sequence ana­lysis. The optimal conditions of enzyme activity were determined. For higher alpha-amylase production, the variables such as yeast extract, starch, CaCl2, (NH4)2SO4, NaCl and MgSO4 in the a-amylase production medium, the tem­perature and pH were screened by Plackett–Burman design and opti­mised using response surface methodology (RSM). The optimal conditions were found to be 0.15 g/L for starch, 0.15 mg/L for CaCl2 and 60 °C for tempe­rature. By using RSM model, amylase production increase was achieved seven­fold. It is showed that this method can be utilised to optimize alpha-amylase pro­duction in athermophilic bacteria such as Bacillus paralicheniformis.

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How to Cite
[1]
F. Matpan Bekler, S. Yalaz, R. Gül Güven, and K. Güven, “Optimization of the thermostable alkaline and Ca-dependent alpha-amylase production from Bacillus paralicheniformis by statistical modeling”, J. Serb. Chem. Soc., vol. 84, no. 10, pp. 1093–1104, Nov. 2019.
Issue
Vol. 84 No. 10 (2019)
Section
Biochemistry & Biotechnology

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