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Microalgae growth rate multivariable mathematical model for biomass production

Research Output:
Contribution to journal
Article
Peer-review

Open access

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SciVal
Citations
13
SciVal
FWCI
0.80
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Author count
8
SciVal
Paper percentile
65
Scopus
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Abstract

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 2s; Tetradesmus T=23°C and I<150 μmol/m 2s), 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.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

e12540

Pages from-to (Number of pages)

Pages e12540 (11 pages)

Journal (Volume, Issue Number)

Heliyon (Volume 9, Issue 1)

Publication milestones

  • Published - 01/2023

Publication status

Published - 01/2023

ISSN

2405-8440

Publication IDs

  • ORCID: /0000-0003-0588-5779/work/125136698
  • Scopus: 85146360066
  • PubMed: 36691555