Chapter title |
A Robust GC-MS Method for the Quantitation of Fatty Acids in Biological Systems
|
---|---|
Chapter number | 4 |
Book title |
Metabolomics Tools for Natural Product Discovery
|
Published in |
Methods in molecular biology, January 2013
|
DOI | 10.1007/978-1-62703-577-4_4 |
Pubmed ID | |
Book ISBNs |
978-1-62703-576-7, 978-1-62703-577-4
|
Authors |
Jayasinghe, Nirupama Samanmalie, Dias, Daniel Anthony, Nirupama Samanmalie Jayasinghe, Daniel Anthony Dias |
Editors |
Ute Roessner, Daniel Anthony Dias |
Abstract |
Fatty acids (FAs) are involved in a wide range of functions in biological systems. It is important to measure the exact amount of fatty acids in biological matrices in order to determine the level of fatty acids and understand the role they play. The ability to quantify fatty acids in various systems, especially plant species and microbes has recently paved the way to the mass production of pharmaceuticals and energy substitutes including biodiesel. This chapter describes an efficient method to quantify the total fatty acids (TFAs) in biological systems using gas chromatography-mass spectrometry (GC-MS) and a commercially available standard mix of fatty acid methyl esters (FAMEs) using a step-by-step methodology to setup a quantitation method using the Agilent Chemstation software. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 23% |
Student > Bachelor | 3 | 14% |
Other | 2 | 9% |
Professor | 2 | 9% |
Lecturer | 1 | 5% |
Other | 4 | 18% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 5 | 23% |
Biochemistry, Genetics and Molecular Biology | 4 | 18% |
Agricultural and Biological Sciences | 4 | 18% |
Immunology and Microbiology | 1 | 5% |
Social Sciences | 1 | 5% |
Other | 1 | 5% |
Unknown | 6 | 27% |