Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling
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 hi...
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Serbian Chemical Society
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doaj-cb1aa5ec4f2a489487b1fc65b15f218c2020-11-25T03:00:19ZengSerbian Chemical Society Journal of the Serbian Chemical Society0352-51391820-74212019-01-0184101093110410.2298/JSC190227021B0352-51391900021BOptimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modelingBekler Fatma Matpan0Yalaz Seçil1Güven Reyhan Gül2Güven Kemal3Dicle University, Faculty of Science, Department of Biology, Diyarbakır, TurkeyDicle University, Faculty of Science, Department of Statistics, Diyarbakır, TurkeyDicle University, Education Faculty, Science Teaching Section, Diyarbakir, TurkeyDicle University, Faculty of Science, Department of Molecular Biology and Genetics, Diyarbakır, TurkeyA 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 α-amylase production, the variables such as yeast extract, starch, CaCl2, (NH4)2SO4, NaCl and MgSO4 in the α-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 α-amylase production in athermophilic bacteria such as Bacillus paralicheniformis.http://www.doiserbia.nb.rs/img/doi/0352-5139/2019/0352-51391900021B.pdfα-amylasebacillus paralicheniformisoptimizationresponse surface methodology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Bekler Fatma Matpan Yalaz Seçil Güven Reyhan Gül Güven Kemal |
spellingShingle |
Bekler Fatma Matpan Yalaz Seçil Güven Reyhan Gül Güven Kemal Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling Journal of the Serbian Chemical Society α-amylase bacillus paralicheniformis optimization response surface methodology |
author_facet |
Bekler Fatma Matpan Yalaz Seçil Güven Reyhan Gül Güven Kemal |
author_sort |
Bekler Fatma Matpan |
title |
Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling |
title_short |
Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling |
title_full |
Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling |
title_fullStr |
Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling |
title_full_unstemmed |
Optimization of the thermostable alkaline and Ca-dependent α−amylase production from Bacillus paralicheniformis by statistical modeling |
title_sort |
optimization of the thermostable alkaline and ca-dependent α−amylase production from bacillus paralicheniformis by statistical modeling |
publisher |
Serbian Chemical Society |
series |
Journal of the Serbian Chemical Society |
issn |
0352-5139 1820-7421 |
publishDate |
2019-01-01 |
description |
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 α-amylase production, the variables such as yeast extract, starch, CaCl2, (NH4)2SO4, NaCl and MgSO4 in the α-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 α-amylase production in athermophilic bacteria such as Bacillus paralicheniformis. |
topic |
α-amylase bacillus paralicheniformis optimization response surface methodology |
url |
http://www.doiserbia.nb.rs/img/doi/0352-5139/2019/0352-51391900021B.pdf |
work_keys_str_mv |
AT beklerfatmamatpan optimizationofthethermostablealkalineandcadependentaamylaseproductionfrombacillusparalicheniformisbystatisticalmodeling AT yalazsecil optimizationofthethermostablealkalineandcadependentaamylaseproductionfrombacillusparalicheniformisbystatisticalmodeling AT guvenreyhangul optimizationofthethermostablealkalineandcadependentaamylaseproductionfrombacillusparalicheniformisbystatisticalmodeling AT guvenkemal optimizationofthethermostablealkalineandcadependentaamylaseproductionfrombacillusparalicheniformisbystatisticalmodeling |
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