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| Content Provider | Springer Nature Link |
|---|---|
| Author | Dodds, Eric D. McCoy, Mark R. Rea, Lorrie D. Kennish, John M. |
| Copyright Year | 2005 |
| Abstract | The determination of FAME by GC is among the most commonplace analyses in lipid research. Quantification of FAME by GC with FID has been effectively performed for some time, whereas detection with MS has been used chiefly for qualitative analysis of FAME. Nonetheless, the sensitivity and selectivity of MS methods advocate a quantitative role for GC-MS in FAME analysis—an approach that would be particularly advantageous for FAME determination in complex biological samples, where spectrometric confirmation of analytes is advisable. To assess the utility of GC-MS methods for FAME quantification, a comparative study of GC-FID and GC-MS methods has been conducted. FAME in prepared solutions as well as a biological standard reference material were analyzed by GC-FID and GC-MS methods using both ion trap and quadrupole MS systems. Quantification by MS, based on total ion counts and processing of selected ions, was investigated for FAME ionized by electron impact. Instrument precision, detection limits, calibration behavior, and response factors were investigated for each approach, and quantitative results obtained by each technique were compared. Although there were a number of characteristic differences between the MS methods and FID with respect to FAME analysis, the quantitative performance of GC-MS compared satisfactorily with that of GC-FID. The capacity to combine spectrometric examination and quantitative determination advances GC-MS as a powerful alternative to GC-FID for FAME analysis. |
| Starting Page | 419 |
| Ending Page | 428 |
| Page Count | 10 |
| File Format | |
| ISSN | 00244201 |
| Journal | Lipids |
| Volume Number | 40 |
| Issue Number | 4 |
| e-ISSN | 15589307 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2005-01-01 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Nutrition Bioorganic Chemistry Medicinal Chemistry Medical Biochemistry Biochemistry Microbial Genetics and Genomics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cell Biology Organic Chemistry Biochemistry |
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