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Identification and optimization of enzymes extracted from solid-state fermention

Microbial enzymes produced through solid-state fermentation are essential source of numerous microbial strains due to their higher stability, production rate, biochemical versatility, and availability. These enzymes, especially the thermophilic ones, are capable of withstanding harsh environments, h...

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Main Authors: Arab, Sonia Hadj, Alam, Md Zahangir, Yusof, Faridah, Elgharbawy, Amal A.M.
Format: Article
Language:English
Published: Penerbit Universiti Sultan Zainal Abidin Malaysia (UniSZA Press) 2023
Subjects:
BPC158 Agriculture. Sustainable agriculture
QD Chemistry
TP248.13 Biotechnology
Online Access:http://irep.iium.edu.my/107324/8/107324_Identification%20and%20optimization%20of%20enzymes%20extracted.pdf
http://irep.iium.edu.my/107324/
https://journal.unisza.edu.my/agrobiotechnology/index.php/agrobiotechnology/article/view/304
https://doi.org/10.37231/jab.2023.14.2.304
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spelling my.iium.irep.1073242023-12-19T08:22:43Z http://irep.iium.edu.my/107324/ Identification and optimization of enzymes extracted from solid-state fermention Arab, Sonia Hadj Alam, Md Zahangir Yusof, Faridah Elgharbawy, Amal A.M. BPC158 Agriculture. Sustainable agriculture QD Chemistry TP248.13 Biotechnology Microbial enzymes produced through solid-state fermentation are essential source of numerous microbial strains due to their higher stability, production rate, biochemical versatility, and availability. These enzymes, especially the thermophilic ones, are capable of withstanding harsh environments, high temperatures, and chemicals used in various industrial processes. This study involved multiple steps. Firstly, bacteria were identified using 16S rRNA gene analysis. Subsequently, solid-state fermented (SSF) enzymes, including amylase, protease, cellulase, and xylanase, were screened using their respective assays. Prior to optimization, the conditions affecting the extraction were evaluated using a one-factor-at-a-time (OFAT) approach. The extraction of SSF enzymes was then optimized using a Face Centered Central Composite Design (FCCCD). Bacterial enzyme identification was performed using Next-generation sequencing, and the following strain families were found: Enterobacteriaceae, Klebsiella, Aneurinibacillaceae, Atopobiaceae, Bacillaceae, Burkholderiaceae, Clostridiaceae, Lactobacillaceae, Peptostreptococcaceae, Staphylococcaceae, Streptococcaceae, and Streptomycetaceae. The highest protein yield was achieved using the one-factor-at-a-time (OFAT) method, with a protein concentration of 6.07 mg/m obtained from 10g of SSF material (in 90 ml of sodium phosphate buffer) at pH 9. The extraction process involved a temperature of 65°C, a duration of 2 hours, and an incubation speed rotation of 250 rpm. Under these optimized conditions, the activities of the SSF enzymes were determined as follows: protease (11.04 U/ml), cellulase (11.59 U/ml), xylanase (174.13 U/ml), and amylase (11.01 U/ml). This research will further contribute to the extraction of palm oil, offering high yield and a promising solution across various fields by replacing the expensive industrial enzymes. Penerbit Universiti Sultan Zainal Abidin Malaysia (UniSZA Press) 2023-08-15 Article PeerReviewed application/pdf en http://irep.iium.edu.my/107324/8/107324_Identification%20and%20optimization%20of%20enzymes%20extracted.pdf Arab, Sonia Hadj and Alam, Md Zahangir and Yusof, Faridah and Elgharbawy, Amal A.M. (2023) Identification and optimization of enzymes extracted from solid-state fermention. Journal of Agrobiotechnology, 14 (2). pp. 12-27. E-ISSN 2180-1983 https://journal.unisza.edu.my/agrobiotechnology/index.php/agrobiotechnology/article/view/304 https://doi.org/10.37231/jab.2023.14.2.304
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic BPC158 Agriculture. Sustainable agriculture
QD Chemistry
TP248.13 Biotechnology
spellingShingle BPC158 Agriculture. Sustainable agriculture
QD Chemistry
TP248.13 Biotechnology
Arab, Sonia Hadj
Alam, Md Zahangir
Yusof, Faridah
Elgharbawy, Amal A.M.
Identification and optimization of enzymes extracted from solid-state fermention
description Microbial enzymes produced through solid-state fermentation are essential source of numerous microbial strains due to their higher stability, production rate, biochemical versatility, and availability. These enzymes, especially the thermophilic ones, are capable of withstanding harsh environments, high temperatures, and chemicals used in various industrial processes. This study involved multiple steps. Firstly, bacteria were identified using 16S rRNA gene analysis. Subsequently, solid-state fermented (SSF) enzymes, including amylase, protease, cellulase, and xylanase, were screened using their respective assays. Prior to optimization, the conditions affecting the extraction were evaluated using a one-factor-at-a-time (OFAT) approach. The extraction of SSF enzymes was then optimized using a Face Centered Central Composite Design (FCCCD). Bacterial enzyme identification was performed using Next-generation sequencing, and the following strain families were found: Enterobacteriaceae, Klebsiella, Aneurinibacillaceae, Atopobiaceae, Bacillaceae, Burkholderiaceae, Clostridiaceae, Lactobacillaceae, Peptostreptococcaceae, Staphylococcaceae, Streptococcaceae, and Streptomycetaceae. The highest protein yield was achieved using the one-factor-at-a-time (OFAT) method, with a protein concentration of 6.07 mg/m obtained from 10g of SSF material (in 90 ml of sodium phosphate buffer) at pH 9. The extraction process involved a temperature of 65°C, a duration of 2 hours, and an incubation speed rotation of 250 rpm. Under these optimized conditions, the activities of the SSF enzymes were determined as follows: protease (11.04 U/ml), cellulase (11.59 U/ml), xylanase (174.13 U/ml), and amylase (11.01 U/ml). This research will further contribute to the extraction of palm oil, offering high yield and a promising solution across various fields by replacing the expensive industrial enzymes.
format Article
author Arab, Sonia Hadj
Alam, Md Zahangir
Yusof, Faridah
Elgharbawy, Amal A.M.
author_facet Arab, Sonia Hadj
Alam, Md Zahangir
Yusof, Faridah
Elgharbawy, Amal A.M.
author_sort Arab, Sonia Hadj
title Identification and optimization of enzymes extracted from solid-state fermention
title_short Identification and optimization of enzymes extracted from solid-state fermention
title_full Identification and optimization of enzymes extracted from solid-state fermention
title_fullStr Identification and optimization of enzymes extracted from solid-state fermention
title_full_unstemmed Identification and optimization of enzymes extracted from solid-state fermention
title_sort identification and optimization of enzymes extracted from solid-state fermention
publisher Penerbit Universiti Sultan Zainal Abidin Malaysia (UniSZA Press)
publishDate 2023
url http://irep.iium.edu.my/107324/8/107324_Identification%20and%20optimization%20of%20enzymes%20extracted.pdf
http://irep.iium.edu.my/107324/
https://journal.unisza.edu.my/agrobiotechnology/index.php/agrobiotechnology/article/view/304
https://doi.org/10.37231/jab.2023.14.2.304
_version_ 1787131880463663104
score 13.211869

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