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      Optimization of bio-oil extraction from Chlorella biomass via a green approach to obtain algal-based Di-ethyl phthalate

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          High quality biodiesel production from a microalga Chlorella protothecoides by heterotrophic growth in fermenters.

          The aim of the study was to obtain high quality biodiesel production from a microalga Chlorella protothecoids through the technology of transesterification. The technique of metabolic controlling through heterotrophic growth of C. protothecoides was applied, and the heterotrophic C. protothecoides contained the crude lipid content of 55.2%. To increase the biomass and reduce the cost of alga, corn powder hydrolysate instead of glucose was used as organic carbon source in heterotrophic culture medium in fermenters. The result showed that cell density significantly increased under the heterotrophic condition, and the highest cell concentration reached 15.5 g L(-1). Large amount of microalgal oil was efficiently extracted from the heterotrophic cells by using n-hexane, and then transmuted into biodiesel by acidic transesterification. The biodiesel was characterized by a high heating value of 41 MJ kg(-1), a density of 0.864 kg L(-1), and a viscosity of 5.2 x 10(-4) Pa s (at 40 degrees C). The method has great potential in the industrial production of liquid fuel from microalga.
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            Biomass-based energy fuel through biochemical routes: A review

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              Hydrothermal Liquefaction and Gasification of Nannochloropsis sp.

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                Author and article information

                Contributors
                Journal
                Environmental Science and Pollution Research
                Environ Sci Pollut Res
                Springer Science and Business Media LLC
                1614-7499
                November 14 2023
                Article
                10.1007/s11356-023-30866-1
                ffba2a87-fba8-40b0-8bf1-ed18567421fe
                © 2023

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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