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Screening and Comparative Metabolic Profiling of High Lipid Content Microalgae Strains for Application in Wastewater Treatment Full article

Journal Bioresource Technology
ISSN: 0960-8524 , E-ISSN: 1873-2976
Output data Year: 2018, Volume: 250, Pages: 538-547 Pages count : 10 DOI: 10.1016/j.biortech.2017.11.063
Tags Lipid metabolism, Metabolic profiling, Microalgae, Wastewater
Authors Piligaev A.V. 1 , Sorokina K.N. 1,2 , Shashkov M.V. 1,2 , Parmon V.N. 1,2
Affiliations
1 Boreskov Institute of Catalysis, pr. Lavrentieva 5, Novosibirsk, 630090, Russia
2 Novosibirsk State University, Pirogova str. 2, Novosibirsk, 630090, Russia

Funding (1)

1 Russian Science Foundation 17-73-30032

Abstract: New strains of green microalgae were isolated and screened for growth and the production of lipids from municipal wastewater. It was shown that the strain Micractinium sp. IC-76 has a biomass productivity of 37.18 ± 4.12 mg L-1 d-1 and a lipid content of 36.29 ± 0.11%, with a total content of saturated and monounsaturated fatty acids of 71.9%. The efficiency of nitrogen (N-NH4) and phosphorus (P-PO4) removal was 96.4±0.7 and 77.8±5.6%, respectively. The metabolic differences at the exponential and stationary phases of growth between the closely related strains with different patterns of lipid accumulation were revealed via gas chromatography mass spectrometry metabolic profiling. The strain Micractinium sp. IC-76 in the stationary phase of growth shows a significant difference in carbohydrate metabolism, especially sucrose concentration. High lipid induction during cultivation in wastewater was also driven by changes in the biosynthesis of amino acids, fatty acids and the tricarboxylic acid cycle.
Cite: Piligaev A.V. , Sorokina K.N. , Shashkov M.V. , Parmon V.N.
Screening and Comparative Metabolic Profiling of High Lipid Content Microalgae Strains for Application in Wastewater Treatment
Bioresource Technology. 2018. V.250. P.538-547. DOI: 10.1016/j.biortech.2017.11.063 WOS Scopus РИНЦ AN PMID OpenAlex
Dates:
Submitted: Oct 3, 2017
Accepted: Nov 22, 2017
Published online: Nov 23, 2017
Published print: Feb 1, 2018
Identifiers:
Web of science: WOS:000430740000066
Scopus: 2-s2.0-85036588147
Elibrary: 35476711
Chemical Abstracts: 2017:1863331
PMID: 29197777
OpenAlex: W2770930040
Citing:
DB Citing
Web of science 53
Scopus 56
Elibrary 51
OpenAlex 71
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