Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics

Mathematical modeling of the kinetics of fermentation processes is crucial to understand complex microorganism behavior and identify problems. To investigate growth kinetics, as well as glucose utilization and recombinant collagen-like protein formation kinetics, E. coli BL21 (DE3) harboring a colla...

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Main Authors: Mohamed Gameil, Abeir Hussein, Yusof, Faridah, Azmi, Azlin Suhaida, Mohamad Puad, Noor Illi
Format: Proceeding Paper
Language:English
Published: Kulliiyyah of Engineering, IIUM 2023
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Online Access:http://irep.iium.edu.my/108261/1/108261_Modeling%20of%20E.%20coli%20growth.pdf
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spelling my.iium.irep.1082612023-11-21T01:27:12Z http://irep.iium.edu.my/108261/ Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics Mohamed Gameil, Abeir Hussein Yusof, Faridah Azmi, Azlin Suhaida Mohamad Puad, Noor Illi TP155 Chemical engineering TP248.13 Biotechnology Mathematical modeling of the kinetics of fermentation processes is crucial to understand complex microorganism behavior and identify problems. To investigate growth kinetics, as well as glucose utilization and recombinant collagen-like protein formation kinetics, E. coli BL21 (DE3) harboring a collagen-like protein from Rhodopseduomonas palustris (RPCLP) was cultivated in M9-casamino acids medium containing glucose (10 g/L). OD600 and a glucose assay kit were used to monitor the biomass concentration and glucose depletion, respectively. The RPCLP concentration was measured via a fluorometric assay. Results show that the maximum biomass achieved was 8.25 g/L, whereas the maximum RPCLP yield was 2 mg/L. Growth data was then fitted into unstructured models-Monod model and logistic model. The Luedeking-Piret model was used for the substrate utilization and product formation data. Kinetic parameters were determined by nonlinear regression and ANOVA analyses were done to determine the significance of each fit. While the growth data fitted both the Monod and the logistic model well, with significant coefficients of determination (R 2 values 0.96 and 0.99, respectively), the Luedeking-Piret models did not represent the substrate utilization and product formation well (correlation coefficient= 0.7). The study suggests that the production is mixed-growth associated and modification of the model is required. Kulliiyyah of Engineering, IIUM 2023-10-12 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/108261/1/108261_Modeling%20of%20E.%20coli%20growth.pdf Mohamed Gameil, Abeir Hussein and Yusof, Faridah and Azmi, Azlin Suhaida and Mohamad Puad, Noor Illi (2023) Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics. In: International Conference on Chemical Engineering & Sustainability 2023 (ICCHES 2023), 15th - 16th August 2023, Kuala Lumpur, Malaysia. https://journals.iium.edu.my/ejournal/index.php/proc/article/view/3011 10.31436/iiumecp.v1i1.3011
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 TP155 Chemical engineering
TP248.13 Biotechnology
spellingShingle TP155 Chemical engineering
TP248.13 Biotechnology
Mohamed Gameil, Abeir Hussein
Yusof, Faridah
Azmi, Azlin Suhaida
Mohamad Puad, Noor Illi
Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics
description Mathematical modeling of the kinetics of fermentation processes is crucial to understand complex microorganism behavior and identify problems. To investigate growth kinetics, as well as glucose utilization and recombinant collagen-like protein formation kinetics, E. coli BL21 (DE3) harboring a collagen-like protein from Rhodopseduomonas palustris (RPCLP) was cultivated in M9-casamino acids medium containing glucose (10 g/L). OD600 and a glucose assay kit were used to monitor the biomass concentration and glucose depletion, respectively. The RPCLP concentration was measured via a fluorometric assay. Results show that the maximum biomass achieved was 8.25 g/L, whereas the maximum RPCLP yield was 2 mg/L. Growth data was then fitted into unstructured models-Monod model and logistic model. The Luedeking-Piret model was used for the substrate utilization and product formation data. Kinetic parameters were determined by nonlinear regression and ANOVA analyses were done to determine the significance of each fit. While the growth data fitted both the Monod and the logistic model well, with significant coefficients of determination (R 2 values 0.96 and 0.99, respectively), the Luedeking-Piret models did not represent the substrate utilization and product formation well (correlation coefficient= 0.7). The study suggests that the production is mixed-growth associated and modification of the model is required.
format Proceeding Paper
author Mohamed Gameil, Abeir Hussein
Yusof, Faridah
Azmi, Azlin Suhaida
Mohamad Puad, Noor Illi
author_facet Mohamed Gameil, Abeir Hussein
Yusof, Faridah
Azmi, Azlin Suhaida
Mohamad Puad, Noor Illi
author_sort Mohamed Gameil, Abeir Hussein
title Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics
title_short Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics
title_full Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics
title_fullStr Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics
title_full_unstemmed Modeling of E. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics
title_sort modeling of e. coli growth, glucose consumption, and recombinant collagen like protein formation kinetics
publisher Kulliiyyah of Engineering, IIUM
publishDate 2023
url http://irep.iium.edu.my/108261/1/108261_Modeling%20of%20E.%20coli%20growth.pdf
http://irep.iium.edu.my/108261/
https://journals.iium.edu.my/ejournal/index.php/proc/article/view/3011
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score 13.160551