| Issue |
EPJ Web Conf.
Volume 351, 2026
The 11th International Symposium on Hydrogen Energy, Renewable Energy, and Materials (HEREM 2025)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202635101011 | |
| Published online | 05 February 2026 | |
https://doi.org/10.1051/epjconf/202635101011
Biochemical characterization of indigenous green microalgae and FAMEs profiling of lipids for sustainable biodiesel production
1 Department of Biological Sciences, Yaba College of Technology, Lagos, Nigeria
2 Department of Microbiology, University of Lagos, Akoka, Yaba, Nigeria
3 Department of Physical Sciences, Yaba College of Technology, Lagos, Nigeria
4 Department of Fish, Wildlife, and Conservation Ecology, New Mexico State University, Las Cruces, NM 88003, USA
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 5 February 2026
Abstract
There is a growing need for sustainable energy sources, which has led to increased interest in microalgae as a feedstock for the production of biodiesel. This study investigated indigenous green microalgae for biodiesel generation through comprehensive biochemical and analytical evaluations of their biomass. Green microalgae species were cultured in BG-11 medium under controlled photobioreactor conditions, harvested, and analyzed for protein, carbohydrate, lipid, and Carbon-Hydrogen-Nitrogen-Sulphur (CHNS) composition. Nile red staining and Bligh and Dyer extraction revealed lipid content ranging from 11.74 32.17 % and in-situ transesterification and GC-MS profiling quantified fatty acid methyl esters (FAMEs). Chlorella sp. MOW 3 showed the highest yield (4.48 % of biomass). Protein and carbohydrate content varied between 17.76 – 47.43 % and 13.59 – 46.56 %, respectively. The CHNS analysis showed the highest carbon content in Graesiella emersonii MOW 9 (55.55 %). Only lipid content exhibited a statistically significant correlation with the C/N ratio, and the CHNS analysis directly validates lipid metabolic regulation in these isolates. GC-MS analysis revealed saturated, monounsaturated, and polyunsaturated fatty acids, with palmitic acid, oleic acid, and linoleic acid being the most abundant. These findings underscore the viability of indigenous microalgae strains as promising candidates for renewable biodiesel production.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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