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One barrier to the use of algae feedstocks as a source of CO2-neutral, renewable liquid fuel is the potential for high processing costs. An important processing step is the extraction of oil from the biomass. While there is substantial industrial experience in lipids from oil seeds, these processes may be unattractive for algal fuel oil due to high costs. Laboratory data suggest, however, that the relatively fragile nature of algal biomass may speed the mass transfer processes that control the extraction rate, and thus either reduce equipment size or allow increased throughput. In the present paper, laboratory-scale extraction data are used to develop a finite difference model of a full-scale extractor. The results indicate that such an extractor may have an increase in throughput of a factor of 5-10 without losing extraction efficiency.

Oil extracted from microalgae has the potential to offset demand for petroleum, if conditions of cost and scale can be met. In this paper, we present the compositional differences of fatty acid methyl esters (FAMEs) obtained by solvent extraction from two different oleaginous microalgae. Oil samples were extracted from a proprietary alga (Alga X) and a more common Nannochloropsis oculata (NC) using the Soxhlet process with n-hexane. The neutral lipids contained in Alga X comprised approximately 40 to 60% of the algal dry weight, and the oil was mostly converted to methyl esters using a transesterification process. On the other hand, NC produced approximately 25% lipids, but the yield of methyl esters was often less than 1% and subject to high variation. FAMEs were analyzed using gas chromatography and the average chain lengths for NC were shown to be greater than the average chain lengths for Alga X.