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Multi-parametric modelling and kinetic sensitivity of microalgal cells

Mathematical modelling is a cognitive tool employed to describe the cellular response of microalgal cells to changes in nutrient inputs and other environmental factors. Currently, there exists no accurate model that simultaneously incorporates multi-parametric inputs such as carbon, nitrogen, phosph...

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Main Authors:	Tijani, Hamzat, Yuzir, Ali, Wan Dagang, Wan Rosmiza Zana, Zamyadi, Arash, Abdullah, Norhayati
Format:	Article
Published:	Elsevier B.V. 2018
Subjects:	T Technology (General)
Online Access:	http://eprints.utm.my/id/eprint/84134/ http://dx.doi.org/10.1016/j.algal.2018.04.009
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id	my.utm.84134
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spelling	my.utm.841342019-12-16T01:57:02Z http://eprints.utm.my/id/eprint/84134/ Multi-parametric modelling and kinetic sensitivity of microalgal cells Tijani, Hamzat Yuzir, Ali Wan Dagang, Wan Rosmiza Zana Zamyadi, Arash Abdullah, Norhayati T Technology (General) Mathematical modelling is a cognitive tool employed to describe the cellular response of microalgal cells to changes in nutrient inputs and other environmental factors. Currently, there exists no accurate model that simultaneously incorporates multi-parametric inputs such as carbon, nitrogen, phosphorus and light intensity as defining parameters for algae life. The main objective of this study is to develop mathematical models based on the defining four parametric inputs (i.e. carbon, nitrogen, phosphorus and light intensity) via Monod, Haldane, and Droop kinetics. These models were correlated with the growth data of microalgal cells in nutrient-saturated continuous cultures. Observed data did not conformed to the extended Monod and Haldane kinetics, but correlated to the extended Droop kinetics. The extended Droop kinetics (eDK) projected a similar trend in cell proliferation and response trajectory with the real-time experimental data. However, these model projections showed different transient dynamics in response to changes in the concentration of incoming nutrients in time-course simulations. Such differences suggest that the choice between Monod, Haldane and Droop kinetics to model the non-equilibrium dynamics of photosynthetic cells leads to widely divergent predictions of biomass proliferation. The mass transfer coefficient (kl. a), is the most sensitive parametric input for biomass synthesis with maximum influence on the growth response trajectory. Elsevier B.V. 2018-06 Article PeerReviewed Tijani, Hamzat and Yuzir, Ali and Wan Dagang, Wan Rosmiza Zana and Zamyadi, Arash and Abdullah, Norhayati (2018) Multi-parametric modelling and kinetic sensitivity of microalgal cells. Algal Research-Biomass Biofuels And Bioproducts, 32 . pp. 259-269. ISSN 2211-9264 http://dx.doi.org/10.1016/j.algal.2018.04.009
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	T Technology (General)
spellingShingle	T Technology (General) Tijani, Hamzat Yuzir, Ali Wan Dagang, Wan Rosmiza Zana Zamyadi, Arash Abdullah, Norhayati Multi-parametric modelling and kinetic sensitivity of microalgal cells
description	Mathematical modelling is a cognitive tool employed to describe the cellular response of microalgal cells to changes in nutrient inputs and other environmental factors. Currently, there exists no accurate model that simultaneously incorporates multi-parametric inputs such as carbon, nitrogen, phosphorus and light intensity as defining parameters for algae life. The main objective of this study is to develop mathematical models based on the defining four parametric inputs (i.e. carbon, nitrogen, phosphorus and light intensity) via Monod, Haldane, and Droop kinetics. These models were correlated with the growth data of microalgal cells in nutrient-saturated continuous cultures. Observed data did not conformed to the extended Monod and Haldane kinetics, but correlated to the extended Droop kinetics. The extended Droop kinetics (eDK) projected a similar trend in cell proliferation and response trajectory with the real-time experimental data. However, these model projections showed different transient dynamics in response to changes in the concentration of incoming nutrients in time-course simulations. Such differences suggest that the choice between Monod, Haldane and Droop kinetics to model the non-equilibrium dynamics of photosynthetic cells leads to widely divergent predictions of biomass proliferation. The mass transfer coefficient (kl. a), is the most sensitive parametric input for biomass synthesis with maximum influence on the growth response trajectory.
format	Article
author	Tijani, Hamzat Yuzir, Ali Wan Dagang, Wan Rosmiza Zana Zamyadi, Arash Abdullah, Norhayati
author_facet	Tijani, Hamzat Yuzir, Ali Wan Dagang, Wan Rosmiza Zana Zamyadi, Arash Abdullah, Norhayati
author_sort	Tijani, Hamzat
title	Multi-parametric modelling and kinetic sensitivity of microalgal cells
title_short	Multi-parametric modelling and kinetic sensitivity of microalgal cells
title_full	Multi-parametric modelling and kinetic sensitivity of microalgal cells
title_fullStr	Multi-parametric modelling and kinetic sensitivity of microalgal cells
title_full_unstemmed	Multi-parametric modelling and kinetic sensitivity of microalgal cells
title_sort	multi-parametric modelling and kinetic sensitivity of microalgal cells
publisher	Elsevier B.V.
publishDate	2018
url	http://eprints.utm.my/id/eprint/84134/ http://dx.doi.org/10.1016/j.algal.2018.04.009
_version_	1654960045496991744
score	13.211869

Multi-parametric modelling and kinetic sensitivity of microalgal cells

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