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CARBON SEQUESTRATION FROM INDUSTRIAL EMISSIONS USING MICROALGAE: RESULTS OF LABORATORY MODELING

Darina Glazunova, Liliya Biktasheva, Polina Kuryntseva, Polina Galitskaya

First published: 2022-11-15https://doi.org/10.5593/sgem2022/4.1/s19.38View metrics

Abstract

Global climate change is one of the most acute environmental problems of our time. Among the methods of capturing CO2 in industrial emissions are chemical, physical and biological. The latter are based on the use of living organisms that absorb carbon dioxide in metabolic processes, and the subsequent use or burial of their biomass or their metabolic products. One variant of organisms used to capture carbon dioxide biotechnologically are microalgae. In the present study, the efficiency to capture carbon from the exhaust gas was compared for three microalgae species - Chlorella vulgaris, Scenedesmus obliquus and Spirullina platensis. A photobioreactor was assembled, consisting of transparent sealed flasks, a CO2 supply system, an oxygen removal system, and an illumination system. It was found that C. vulgaris was characterized by the largest increase in biomass (2.68 g l-1), and Sc. obliquus - by the lowest one (2.21 g l-1). The biofixation rate, the content of proteins and lipids were estimated to be 0.31, 0.26 and 0.29 g CO2 l ?1 d ?1, 64.0, 15.0 and 22.0 %, 15.0, 17.0 and 23.0 % for C. vulgaris, Sc. obliquus, and Sp. platensis, respectively.

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Publication details

Title
CARBON SEQUESTRATION FROM INDUSTRIAL EMISSIONS USING MICROALGAE: RESULTS OF LABORATORY MODELING
Authors
Darina Glazunova, Liliya Biktasheva, Polina Kuryntseva, Polina Galitskaya
Proceedings
SGEM International Multidisciplinary Scientific GeoConference- EXPO Proceedings; 22nd SGEM International Multidisciplinary Scientific GeoConference Proceedings 2022, Energy and Clean Technologies
Publisher
STEF92 Technology
Year
2022
Pages
295-302
SWS Citekey
Glazunova202219295302
ISSN
1314-2704
ISBN
978-619-7603-44-6
Language
en
Publication type
Conference Paper
Proceedings contents
Open official contents
Keywords
References14
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