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用于生物质生产的微藻生长速率多变量数学模型。

Microalgae growth rate multivariable mathematical model for biomass production.

作者信息

Martinez-Ruiz Manuel, Vazquez Karina, Losoya Liliana, Gonzalez Susana, Robledo-Padilla Felipe, Aquines Osvaldo, Iqbal Hafiz M N, Parra-Saldivar Roberto

机构信息

Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, 64849, Mexico.

Department of Biomedical Engineering, Universidad de Monterrey, Av. Morones Prieto 4500, San Pedro Garza García 66238, N.L., Mexico.

出版信息

Heliyon. 2022 Dec 22;9(1):e12540. doi: 10.1016/j.heliyon.2022.e12540. eCollection 2023 Jan.


DOI:10.1016/j.heliyon.2022.e12540
PMID:36691555
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9860277/
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 and 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 ( T=36°C, and I<787 μmol/ms; T=23°C and I<150 μmol/ms), 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.

摘要

背景:微藻的利用已成为一种潜在技术,可减少温室气体、对受污染水体进行生物修复并生产高价值产品,如色素、植物激素、生物燃料和生物活性化合物。提高生物质产量是使该技术在上述每种应用中实现盈利的首要任务。 方法:本研究旨在探索利用 属和 属的微藻来生成具有紫外线吸收能力的目标物质。针对这两种微藻建立了一个数学模型,以考虑光强、温度和养分消耗的影响来表征微藻生物质的生产。该模型在MATLAB软件中编程,将这三个参数纳入一个单一的比生长速率方程。 结果:发现每个属的最佳环境条件( 温度=36°C,光强<787 μmol/ms; 温度=23°C,光强<150 μmol/ms),以及取决于这三个参数个性化值的最佳比生长速率。 结论:这项工作可用于微藻生物质的生产,以设计和开发局部应用,取代基于对健康有害且对环境有不良影响的化合物的商业产品。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/187062a4ecb0/gr008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/9546cbb70bc4/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/15904a18b80a/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/3354a4f8bfc8/gr003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/6b5de63e41be/gr004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/6046d2454af0/gr005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/2146d232a478/gr006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/7668717e0ba4/gr007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/187062a4ecb0/gr008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/9546cbb70bc4/gr001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/15904a18b80a/gr002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/3354a4f8bfc8/gr003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/6b5de63e41be/gr004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/6046d2454af0/gr005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/2146d232a478/gr006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/7668717e0ba4/gr007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fb3/9860277/187062a4ecb0/gr008.jpg

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Microalgae growth rate multivariable mathematical model for biomass production.

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本文引用的文献

[1]
Novel simultaneous method for the determination of avobenzone and oxybenzone in human plasma by UHPLC-MS/MS with phospholipid removal pretreatment: An application to a sunscreen clinical trial.

J Chromatogr B Analyt Technol Biomed Life Sci. 2021-4-15

[2]
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Int J Mol Sci. 2021-2-4

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J Cosmet Dermatol. 2015-3

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