Research Article | Volume: 5, Issue: 9, September, 2015

Enhanced production of thermostable lipase from Bacillus cereus ASSCRC-P1 in waste frying oil based medium using statistical experimental design

Ghada E. A. Awad Hanan Mostafa Enas N. Danial Nayera A.M. Abdelwahed Hassan M. Awad   

Open Access   

Published:  Sep 27, 2015

DOI: 10.7324/JAPS.2015.50902
Abstract

This study aim to isolate, identify a bacterial isolate and optimize production medium using frying oil waste for lipase production. Nine strains were isolated from an Egyptian soil samples. Among the isolates, a potent bacterial candidate ASSCRC-P1 was found to be the most potent lipase producer strain at 60 °C. Genotypic identification of ASSCRC-P1 showed 94% similarity with Bacillus sp. strains. Phylogenetic tree confirmed that ASSCRC-P1 was nearly similar to Bacillus cereus. Therefore, it was given the name Bacillus cereus ASSCRC-P1 and its 16S rRNA nucleotide has been deposited in the GenBank Data Library under the accession number: KJ531440. A sequential optimization strategy, based on statistical experimental designs, was employed to enhance the lipase production by this strain. A 2-level Plackett–Burman design was applied to differentiate between the bioprocess parameters that significantly influence lipase production followed by Box-Behnken design to optimize the amounts of variables which have the highest positive significant effect on lipase production. Overall more than 2.15-fold improvement in lipase production was achieved due to optimization compared to that obtained using the basal medium.


Keyword:     Isolation and genotypic identification Thermostable lipase Waste frying sunflower oil Bacillus cereus ASSCRC-P1 Statistical designs.


Citation:

Ghada Awad, Hanan Mostafaa, Enas Danial, Nayera Abdelwahed, Hassan M Awad. Enhanced production of thermostable lipase from Bacillus cereus ASSCRC-P1 in waste frying oil based medium using statistical experimental design. J App Pharm Sci, 2015; 5 (09): 007-015.

Copyright:The Author(s). This is an open access article distributed under the Creative Commons Attribution Non-Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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