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Microalgae growth rate multivariable mathematical model for biomass production

BACKGROUND: The use of microalgae has been emerging as a potential technology to reduce greenhouse gases and bioremediate polluted water and produce high-value products as pigments, phytohormones, biofuels, and bioactive compounds. The improvement in biomass production is a priority to make the tech...

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Autores principales: Martinez-Ruiz, Manuel, Vazquez, Karina, Losoya, Liliana, Gonzalez, Susana, Robledo-Padilla, Felipe, Aquines, Osvaldo, Iqbal, Hafiz M.N., Parra-Saldivar, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860277/
https://www.ncbi.nlm.nih.gov/pubmed/36691555
http://dx.doi.org/10.1016/j.heliyon.2022.e12540
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author Martinez-Ruiz, Manuel
Vazquez, Karina
Losoya, Liliana
Gonzalez, Susana
Robledo-Padilla, Felipe
Aquines, Osvaldo
Iqbal, Hafiz M.N.
Parra-Saldivar, Roberto
author_facet Martinez-Ruiz, Manuel
Vazquez, Karina
Losoya, Liliana
Gonzalez, Susana
Robledo-Padilla, Felipe
Aquines, Osvaldo
Iqbal, Hafiz M.N.
Parra-Saldivar, Roberto
author_sort Martinez-Ruiz, Manuel
collection PubMed
description BACKGROUND: The use of microalgae has been emerging as a potential technology to reduce greenhouse gases and bioremediate polluted water and produce high-value products as pigments, phytohormones, biofuels, and bioactive compounds. The improvement in biomass production is a priority to make the technology implementation profitable in every application mentioned before. METHODS: The present study was conducted to explore the use of microalgae from genus Chlorella and Tetradesmus for the generation of substances of interest with UV absorption capacity. A mathematical model was developed for both microalgae to characterize the production of microalgae biomass considering the effects of light intensity, temperature, and nutrient consumption. The model was programmed in MATLAB software, where the three parameters were incorporated into a single specific growth rate equation. RESULTS: It was found that the optimal environmental conditions for each genus (Chlorella T=36°C, and I<787 μmol/m(2)s; Tetradesmus T=23°C and I<150 μmol/m(2)s), as well as the optimal specific growth rate depending on the personalized values of the three parameters. CONCLUSSION: This work could be used in the production of microalgae biomass for the design and development of topical applications to replace commercial options based on compounds that compromise health and have a harmful impact on the environment.
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spelling pubmed-98602772023-01-22 Microalgae growth rate multivariable mathematical model for biomass production Martinez-Ruiz, Manuel Vazquez, Karina Losoya, Liliana Gonzalez, Susana Robledo-Padilla, Felipe Aquines, Osvaldo Iqbal, Hafiz M.N. Parra-Saldivar, Roberto Heliyon Research Article BACKGROUND: The use of microalgae has been emerging as a potential technology to reduce greenhouse gases and bioremediate polluted water and produce high-value products as pigments, phytohormones, biofuels, and bioactive compounds. The improvement in biomass production is a priority to make the technology implementation profitable in every application mentioned before. METHODS: The present study was conducted to explore the use of microalgae from genus Chlorella and Tetradesmus for the generation of substances of interest with UV absorption capacity. A mathematical model was developed for both microalgae to characterize the production of microalgae biomass considering the effects of light intensity, temperature, and nutrient consumption. The model was programmed in MATLAB software, where the three parameters were incorporated into a single specific growth rate equation. RESULTS: It was found that the optimal environmental conditions for each genus (Chlorella T=36°C, and I<787 μmol/m(2)s; Tetradesmus T=23°C and I<150 μmol/m(2)s), as well as the optimal specific growth rate depending on the personalized values of the three parameters. CONCLUSSION: This work could be used in the production of microalgae biomass for the design and development of topical applications to replace commercial options based on compounds that compromise health and have a harmful impact on the environment. Elsevier 2022-12-22 /pmc/articles/PMC9860277/ /pubmed/36691555 http://dx.doi.org/10.1016/j.heliyon.2022.e12540 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Martinez-Ruiz, Manuel
Vazquez, Karina
Losoya, Liliana
Gonzalez, Susana
Robledo-Padilla, Felipe
Aquines, Osvaldo
Iqbal, Hafiz M.N.
Parra-Saldivar, Roberto
Microalgae growth rate multivariable mathematical model for biomass production
title Microalgae growth rate multivariable mathematical model for biomass production
title_full Microalgae growth rate multivariable mathematical model for biomass production
title_fullStr Microalgae growth rate multivariable mathematical model for biomass production
title_full_unstemmed Microalgae growth rate multivariable mathematical model for biomass production
title_short Microalgae growth rate multivariable mathematical model for biomass production
title_sort microalgae growth rate multivariable mathematical model for biomass production
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860277/
https://www.ncbi.nlm.nih.gov/pubmed/36691555
http://dx.doi.org/10.1016/j.heliyon.2022.e12540
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