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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9860277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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