- Methodology article
- Open Access
A simplified method for analysis of polyunsaturated fatty acids
© Kang and Wang; licensee BioMed Central Ltd. 2005
- Received: 12 November 2004
- Accepted: 24 March 2005
- Published: 24 March 2005
Analysis of fatty acid composition of biological materials is a common task in lipid research. Conventionally, preparation of samples for fatty acid analysis by gas chromatography involves two separate procedures: lipid extraction and methylation. This conventional method is complicated, tedious and time consuming. Development of a rapid and simple method for lipid analysis is warranted.
We simplified the conventional method by combining the extraction and methylation into a single step (omitting the procedure of prior extraction). Various biological samples including cultured cells, animal tissues and human specimens have been tested using the new method. Statistical analysis indicates that the recovery of long chain fatty acids from tissue samples by the simplified method is significantly higher than that by the traditional method, but there is no difference in relative fatty acid composition between the two methods. This simplified method can significantly save time and materials, and reduce the potentials of sample loss and contamination.
The lipid extraction procedure prior to methylation employed conventionally in lipid analysis can be omitted without affecting the recovery of long chain (≥ 18 C) fatty acids and their composition. The simplified method is rapid, easy-to-use, suitable for analysis of total long chain polyunsaturated fatty acid contents (e.g. n-6 and n-3 fatty acids) in various biological samples, especially when the number of samples to be analyzed is large and/or the specimen size is small.
- Fatty Acid Composition
- Fatty Acid Methyl Ester
- Chain Fatty Acid
- Fatty Acid Profile
- Boron Trifluoride
Fatty acid composition of cell membrane is an important determinant of cell function . Manipulation of cellular fatty acid composition has been a widely used approach to modulating the biological responsiveness of different cell types. Recently, fatty acid profile, particularly the ratio of omega-6 (n-6) to omega-3 (n-3) polyunsaturated fatty acids, of cells or tissues has become a biomarker for monitoring the outcome of dietary interventions (i.e., fatty acid supplementation) and for identifying the risk factors for lipid related diseases (e.g. cardiovascular disease) . Measurement of the n-6/n-3 fatty acid ratio can be also used to identify animal phenotypes, such as the fat-1 transgenic mice that we created recently . Thus, analysis of fatty acid composition is a commonly used technique in lipid research.
Analysis of fatty acid composition is usually carried out by gas chromatography (GC). Conventionally, preparation of samples for GC involves two separate procedures: extraction and methylation. Lipids are usually extracted from cells or tissue homogenates by using organic solvents such as chroloform/methanol . This procedure is time and material consuming, potentially causes sample loss and contamination, and generates organic wastes. These problems become more apparent when the number of samples to be extracted and analyzed is large and/or the specimen size is small.
This study validated a method that combines the extraction and methylation into a single step. Our results showed that this simplified method without the need of prior extraction yielded desirable outcome.
Quantitative results of lipid analysis by the conventional and simplified methods. Sample preparation and lipid analysis were performed as described in Fig.1. The quantity (absolute amount) of each fatty acid is represented by its peak area. (The initial weight of tissue samples for the two methods was the same.) The area percent of each fatty acid was calculated by dividing its peak area by the total peak area of the 8 fatty acids identified (excluding 23:0). Values are means ± SD of five (n = 5) measurements. Values for each fatty acid with the same letter do not differ significantly (p < 0.05) between conventional and simplified methods.
Fatty Acids Identified
Quantity (Area of Peak: × 1,000 counts)
Composition (% of total LCFA identified)
26.3 ± 0.8a
30.4 ± 0.6b
14.6 ± 0.1a
14.5 ± 0.6a
34.5 ± 1.2a
37.5 ± 0.4b
18.9 ± 0.2a
18.5 ± 0.3a
18.1 ± 0.6a
21.6 ± 0.3b
10.1 ± 0.1a
10.3 ± 0.1a
29.3 ± 0.9a
35.3 ± 0.5b
16.3 ± 0.2a
16.8 ± 0.3a
12.7 ± 0.5a
15.0 ± 0.2b
7.0 ± 0.2a
7.1 ± 0.1a
4.1 ± 0.2a
5.0 ± 0.3b
2.1 ± 0.1a
2.3 ± 0.2a
55.1 ± 1.6a
64.4 ± 1.3b
30.6 ± 0.2a
30.7 ± 0.3a
42.9 ± 1.6a
47.7 ± 1.0b
The present study has demonstrated that the lipid extraction procedure prior to methylation employed conventionally in lipid analysis of long chain (≥ 18 C) polyunsaturated fatty acids in biological samples can be omitted, without affecting the recovery of long chain fatty acids and their composition. This simplified method is suitable for analysis of long chain fatty acid composition in a variety of biological specimens, but not appropriate for quantification of medium and short chain (<16C) fatty acids. Because the modified method is relatively simple and sensitive, it has a number of advantages including saving time and easy-to-use, reducing the potentials of sample loss and contamination, and requiring only small quantities of specimens and solvents. These advantages become more obvious in the case where the number of samples to be analyzed is large and/or the specimen size is small. For example, use of the simplified method would make the task of lipid analysis much easier in the large clinical trials that need to monitor polyunsaturated fatty acid composition (especially n-3 fatty acid contents) of red blood cells or other specimens from a large number of subjects. This new method is particularly useful for phenotype analysis of the transgenic animals that exhibit a unique fatty acid profile, such as the fat-1 transgenic mice that we generated recently .
Cell or tissue lipids were extracted by the procedures similar to the Folch method . Chloroform/methanol (2:1, v/v) containing 0.005% butylated hydroxytoluene (as antioxidant) was added (usually 5 ml solvent added to 50–100 μl sample) and mixed vigorously for 1 min then left at 4°C overnight. One ml of 0.9% NaCl was added and mixed again. The chloroform phase containing lipids was collected. The remains were extracted with another 2 ml chloroform. The chloroform was pooled and dried under nitrogen and subjected to methylation. To monitor the recovery rate, the fatty acid C23:0 was added to the samples (usually 1 μg added to 2 mg tissue sample) as an internal standard.
Fatty acid methyl esters were prepared by methods similar to those described previously [5, 6] using BF3/methanol reagent (14% Boron Trifluoride). Lipid sample was mixed with 1 ml hexane in 16 ml glass tubes with Teflon-lined caps. BF3/MeOH reagent (1 ml) was added and the mixture was heated at 90–110°C in a metal block or a sand bath for 1 hour, cooled to room temperature and methyl esters extracted in the hexane phase after addition of 1 ml H2O. Samples were allowed to stand for 20–30 min, and then the upper hexane layer was removed and concentrated under nitrogen.
Fatty acid methyl esters were analyzed by gas chromatography using a fully automated HP5890 system equipped with a flame-ionization detector, as described previously  The chromatography utilized an Omegawax 250 capillary column (30 m × 0.25 mm I.D.). Peaks were identified by comparison with fatty acid standards (Nu-chek-Prep, Elysian, MN), and area and its percentage for each resolved peak were analyzed using a Perkin-Elmer M1 integrator.
An aliquot of cell pellet or tissue homogenate (<50 μl) in a glass methylation tube was mixed with 1 ml of hexane and 1 ml of 14% BF3/MeOH reagent. After blanketed with nitrogen, the mixture was heated at 100°C for 1 hour, cooled to room temperature and methyl esters extracted in the hexane phase following addition of 1 ml H2O. The samples were centrifuged for 1 minute, and then the upper hexane layer was removed and concentrated under nitrogen. Fatty acid methyl esters were analyzed by gas chromatography as described above.
The results from the two methods were compared by using unpaired t-test, and P values of <0.05 were considered significant. Results are means ± SD.
The authors thank Kelley Kallin for her technical assistance. This study was supported by grants from the American Cancer Society (RSG-03-140-01-CNE) and the American Institute for Cancer Research (2A017-REV) to J.X.K.
- Clandinin MT, Field CJ, Hargreaves K, Morson L, Zsigmond E: Role of diet fat in subcellular structure and function. Can J Physiol Pharmacol. 1985, 63: 546-556.View ArticlePubMedGoogle Scholar
- Harris WS, Von Schacky C: The Omega-3 Index: a new risk factor for death from coronary heart disease?. Prev Med. 2004, 39: 212-220. 10.1016/j.ypmed.2004.02.030.View ArticlePubMedGoogle Scholar
- Kang JX, Wang J, Wu L, Kang ZB: Fat-1 transgenic mice convert n-6 to n-3 fatty acids. Nature. 2004, 427: 504-10.1038/427504a.View ArticlePubMedGoogle Scholar
- Folch J, Lees M, Soane GH: A simple method for the isolation and purification of total lipids from animal tissues. J Biol Chem. 1957, 226: 497-509.PubMedGoogle Scholar
- Morrison WR, Smith LM: Preparation of fatty acid methyl esters and dimethylacetals from lipids with boron fluoride – methanol. J Lipid Res. 1964, 53: 600-608.Google Scholar
- Salem N, Reyzer M, Karanian J: Losses of arachidonic acid in rat liver after alcohol inhalation. Lipids. 1996, 31: S153-S156.View ArticlePubMedGoogle Scholar
- Kang JX, Man SF, Brown NE, Labrecque PA, Clandinin MT: Essential fatty acid metabolism in cultured human airway epithelial cells. Biochim Biophys Acta. 1992, 1128: 267-274.View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.