Bioprocess optimization for pectinase production using Aspergillus niger in a submerged cultivation system

Abstract Background Pectinase enzymes present a high priced category of microbial enzymes with many potential applications in various food and oil industries and an estimated market share of $ 41.4 billion by 2020. Results The production medium was first optimized using a statistical optimization ap...

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Main Authors: Hesham A. El Enshasy, Elsayed Ahmed Elsayed, Noorhamizah Suhaimi, Roslinda Abd Malek, Mona Esawy
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Biotechnology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12896-018-0481-7
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author Hesham A. El Enshasy
Elsayed Ahmed Elsayed
Noorhamizah Suhaimi
Roslinda Abd Malek
Mona Esawy
author_facet Hesham A. El Enshasy
Elsayed Ahmed Elsayed
Noorhamizah Suhaimi
Roslinda Abd Malek
Mona Esawy
author_sort Hesham A. El Enshasy
collection DOAJ
description Abstract Background Pectinase enzymes present a high priced category of microbial enzymes with many potential applications in various food and oil industries and an estimated market share of $ 41.4 billion by 2020. Results The production medium was first optimized using a statistical optimization approach to increase pectinase production. A maximal enzyme concentration of 76.35 U/mL (a 2.8-fold increase compared with the initial medium) was produced in a medium composed of (g/L): pectin, 32.22; (NH4)2SO4, 4.33; K2HPO4, 1.36; MgSO4.5H2O, 0.05; KCl, 0.05; and FeSO4.5H2O, 0.10. The cultivations were then carried out in a 16-L stirred tank bioreactor in both batch and fed-batch modes to improve enzyme production, which is an important step for bioprocess industrialization. Controlling the pH at 5.5 during cultivation yielded a pectinase production of 109.63 U/mL, which was about 10% higher than the uncontrolled pH culture. Furthermore, fed-batch cultivation using sucrose as a feeding substrate with a rate of 2 g/L/h increased the enzyme production up to 450 U/mL after 126 h. Conclusions Statistical medium optimization improved volumetric pectinase productivity by about 2.8 folds. Scaling-up the production process in 16-L semi-industrial stirred tank bioreactor under controlled pH further enhanced pectinase production by about 4-folds. Finally, bioreactor fed-batch cultivation using constant carbon source feeding increased maximal volumetric enzyme production by about 16.5-folds from the initial starting conditions.
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spelling doaj.art-1c73ed4ae2454c56a4bd15e48519bf1a2022-12-21T20:17:08ZengBMCBMC Biotechnology1472-67502018-11-0118111310.1186/s12896-018-0481-7Bioprocess optimization for pectinase production using Aspergillus niger in a submerged cultivation systemHesham A. El Enshasy0Elsayed Ahmed Elsayed1Noorhamizah Suhaimi2Roslinda Abd Malek3Mona Esawy4Institute of Bioproduct Development (IBD), Universiti Teknologi Malaysia (UTM)Bioproducts Research Chair, Zoology Department, Faculty of Science, King Saud UniversityInstitute of Bioproduct Development (IBD), Universiti Teknologi Malaysia (UTM)Institute of Bioproduct Development (IBD), Universiti Teknologi Malaysia (UTM)Chemistry of Natural and Microbial Products Department, National Research CentreAbstract Background Pectinase enzymes present a high priced category of microbial enzymes with many potential applications in various food and oil industries and an estimated market share of $ 41.4 billion by 2020. Results The production medium was first optimized using a statistical optimization approach to increase pectinase production. A maximal enzyme concentration of 76.35 U/mL (a 2.8-fold increase compared with the initial medium) was produced in a medium composed of (g/L): pectin, 32.22; (NH4)2SO4, 4.33; K2HPO4, 1.36; MgSO4.5H2O, 0.05; KCl, 0.05; and FeSO4.5H2O, 0.10. The cultivations were then carried out in a 16-L stirred tank bioreactor in both batch and fed-batch modes to improve enzyme production, which is an important step for bioprocess industrialization. Controlling the pH at 5.5 during cultivation yielded a pectinase production of 109.63 U/mL, which was about 10% higher than the uncontrolled pH culture. Furthermore, fed-batch cultivation using sucrose as a feeding substrate with a rate of 2 g/L/h increased the enzyme production up to 450 U/mL after 126 h. Conclusions Statistical medium optimization improved volumetric pectinase productivity by about 2.8 folds. Scaling-up the production process in 16-L semi-industrial stirred tank bioreactor under controlled pH further enhanced pectinase production by about 4-folds. Finally, bioreactor fed-batch cultivation using constant carbon source feeding increased maximal volumetric enzyme production by about 16.5-folds from the initial starting conditions.http://link.springer.com/article/10.1186/s12896-018-0481-7Aspergillus NigerPectinaseMedium optimizationBioprocess optimizationBatch cultureFed-batch culture
spellingShingle Hesham A. El Enshasy
Elsayed Ahmed Elsayed
Noorhamizah Suhaimi
Roslinda Abd Malek
Mona Esawy
Bioprocess optimization for pectinase production using Aspergillus niger in a submerged cultivation system
BMC Biotechnology
Aspergillus Niger
Pectinase
Medium optimization
Bioprocess optimization
Batch culture
Fed-batch culture
title Bioprocess optimization for pectinase production using Aspergillus niger in a submerged cultivation system
title_full Bioprocess optimization for pectinase production using Aspergillus niger in a submerged cultivation system
title_fullStr Bioprocess optimization for pectinase production using Aspergillus niger in a submerged cultivation system
title_full_unstemmed Bioprocess optimization for pectinase production using Aspergillus niger in a submerged cultivation system
title_short Bioprocess optimization for pectinase production using Aspergillus niger in a submerged cultivation system
title_sort bioprocess optimization for pectinase production using aspergillus niger in a submerged cultivation system
topic Aspergillus Niger
Pectinase
Medium optimization
Bioprocess optimization
Batch culture
Fed-batch culture
url http://link.springer.com/article/10.1186/s12896-018-0481-7
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