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Analysis of Fatty Acid Content and Composition in Microalgae

Authors :
Packo P. Lamers
Dirk E. Martens
Dorinde M.M. Kleinegris
Guido Breuer
Jeroen H. de Vree
René H. Wijffels
Wendy A. C. Evers
Source :
Journal of Visualized Experiments, ISSUE=80;ISSN=1940087X;TITLE=Journal of Visualized Experiments, Journal of Visualized Experiments (2013) 80
Publication Year :
2013

Abstract

A method to determine the content and composition of total fatty acids present in microalgae is described. Fatty acids are a major constituent of microalgal biomass. These fatty acids can be present in different acyl-lipid classes. Especially the fatty acids present in triacylglycerol (TAG) are of commercial interest, because they can be used for production of transportation fuels, bulk chemicals, nutraceuticals (ω-3 fatty acids), and food commodities. To develop commercial applications, reliable analytical methods for quantification of fatty acid content and composition are needed. Microalgae are single cells surrounded by a rigid cell wall. A fatty acid analysis method should provide sufficient cell disruption to liberate all acyl lipids and the extraction procedure used should be able to extract all acyl lipid classes. With the method presented here all fatty acids present in microalgae can be accurately and reproducibly identified and quantified using small amounts of sample (5 mg) independent of their chain length, degree of unsaturation, or the lipid class they are part of. This method does not provide information about the relative abundance of different lipid classes, but can be extended to separate lipid classes from each other. The method is based on a sequence of mechanical cell disruption, solvent based lipid extraction, transesterification of fatty acids to fatty acid methyl esters (FAMEs), and quantification and identification of FAMEs using gas chromatography (GC-FID). A TAG internal standard (tripentadecanoin) is added prior to the analytical procedure to correct for losses during extraction and incomplete transesterification.

Details

Language :
English
ISSN :
1940087X
Issue :
80
Database :
OpenAIRE
Journal :
Journal of Visualized Experiments
Accession number :
edsair.doi.dedup.....0ab3520d083a3af937e910794d691169