Oil & Gas Research
Open Access

Using Genetic Algorithm to predict the suitable light intensity for best influence on lipid characteristics and fatty acid profile of freshwater Microalgae for biodiesel production

Copyright: © 2020  . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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The present study was purposed to predict the suitable light intensity on the lipid Accumulation properties of a freshwater microalga Chlorococcum Oleofaciens KF584224.1 to get the highest lipid content. Based on some previous studies and gathered data for light intensity, by using Genetic Algorithm via R programming language, we predicted that if we cultivate the body of these microalgae species at two different light intensities (200 and 400 μmol photons m-2s-1) then we will get the highest lipid content at highest probability. In continuation, the microalga was isolated from a freshwater body and cultivated at five different light intensities of 50, 100, 200, 400, and 800 μmol photons m-2s-1 for 20 days. Once algae reached the stationary phase, the maximum biomass productivity (367.82±4.26mgL-1d-1) was found in culture illuminated with 200 μmol photons m-2s-1, while the highest lipid content (59.18±1.62%) and lipid productivity (126.72±3.27mgL-1d-1) were achieved in culture illuminated with 400 μmol photons m-2s-1. The properties of biodiesel obtained from C. oleofaciens cultured fewer than 50 μmol photons m-2s-1 met the specifications provided by the international biodiesel standards (European EN 14214 and US ASTM D6751), higher light illumination improved the biodiesel quality which makes C. oleofaciens as a potential feedstock for biodiesel production especially under 400 μmol photons m-2s-1 light intensity.

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