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297189

Mutationsand Statistical Modeling for Cellulase Production by Aspergillus flavus

Article

Last updated: 01 Jan 2025

Subjects

-

Tags

Textile chemistry

Abstract

Cellulosic materials present in nature as environmental wastes and also it is considered as a source of energy and sugars. Biological degradation of cellulosic materials using cellulose-degrading enzymes can solve these issues. For economic process, cellulase productivity should be at the highest yield and lowest cost. Therefore the improvement of cellulase productivity is a crucial step for beneficial process. The recent biotechnological methods such as mutagenesis and modeling provided effective tools for stimulation of microbial enzyme production. In the current work, Gamma and UV-radiation and Ethidium bromide have been used for improving cellulase production by a promising fungal isolate. In addition, statistical methods have been used to optimize nutritional and environmental conditions. The fungal isolate have been identified on molecular basis as Aspergillus flavus and given an accession number in NCBI. Mutagenesis resulted in 343.77% increase in cellulase activity compare with the wild-type, while statistical modelling resulted in 1.48% compared with the mutated cells productivity. The over all used methods resulted in 510.69% increase in cellulase production by the mutated Aspergillus flavus compared with the wild-type. Data showed that Aspergillus flavus is a promising cellulase fungal source for application in biotechnological industries. Mutagenesis and statistical modeling provide vital tool as driving force for evolution.

DOI

10.21608/ejchem.2023.125988.5594

Keywords

Aspergillus flavus, fungi, Cellulase, gamma-radiation, UV-radiation, Design of Experiment, central composite design

Authors

First Name

Mostafa

Last Name

Abo Elsoud

MiddleName

Mostafa

Affiliation

Microbial Biotechnology Dept., National Research Centre, Giza, Egypt.

Email

masnrc@gmail.com

City

Giza

Orcid

0000-0002-4192-9495

First Name

Ola

Last Name

Al-Hagar

MiddleName

E.A.

Affiliation

Plant Research Department, Nuclear Research Center, Egyptian Atomic Energy Authority, 137599, Cairo, Egypt

Email

ola.alhager@yahoo.com

City

-

Orcid

-

Volume

66

Article Issue

13

Related Issue

43707

Issue Date

2023-12-01

Receive Date

2022-03-07

Publish Date

2023-12-01

Page Start

671

Page End

682

Print ISSN

0449-2285

Online ISSN

2357-0245

Link

https://ejchem.journals.ekb.eg/article_297189.html

Detail API

https://ejchem.journals.ekb.eg/service?article_code=297189

Order

297,189

Type

Original Article

Type Code

297

Publication Type

Journal

Publication Title

Egyptian Journal of Chemistry

Publication Link

https://ejchem.journals.ekb.eg/

MainTitle

Mutationsand Statistical Modeling for Cellulase Production by Aspergillus flavus

Details

Type

Article

Created At

30 Dec 2024