The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
High sensitivity quantitative lipidomics analysis of fatty acids in biological samples by gas chromatography–mass spectrometry
Open accessAbstract
Historically considered to be simple membrane components serving as structural elements and energy storing entities, fatty acids are now increasingly recognized as potent signaling molecules involved in many metabolic processes. Quantitative determination of fatty acids and exploration of fatty acid profiles have become common place in lipid analysis. We present here a reliable and sensitive method for comprehensive analysis of free fatty acids and fatty acid composition of complex lipids in biological material. The separation and quantitation of fatty acids is achieved by capillary gas chromatography. The analytical method uses pentafluorobenzyl bromide derivatization and negative chemical ionization gas chromatography-mass spectrometry. The chromatographic procedure provides base line separation between saturated and unsaturated fatty acids of different chain lengths as well as between most positional isomers. Fatty acids are extracted in the presence of isotope-labeled internal standards for high quantitation accuracy. Mass spectrometer conditions are optimized for broad detection capacity and sensitivity capable of measuring trace amounts of fatty acids in complex biological samples.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A SIMPLE METHOD FOR THE ISOLATION AND PURIFICATION OF TOTAL LIPIDES FROM ANIMAL TISSUES
Folch, J., Lees, M., & Stanley, G. H. S. (1957) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)64849-5 · Cited by 65,189
A RAPID METHOD OF TOTAL LIPID EXTRACTION AND PURIFICATION
Bligh, E. G., & Dyer, W. J. (1959) · Canadian Journal of Biochemistry and Physiology · doi:10.1139/o59-099 · Cited by 54,751
Membrane lipids: where they are and how they behave
van Meer, G., Voelker, D. R., & Feigenson, G. W. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2330 · Cited by 7,157
Prostaglandins and Leukotrienes: Advances in Eicosanoid Biology
Funk, C. D. (2001) · Science · doi:10.1126/science.294.5548.1871 · Cited by 3,817
TLR4 links innate immunity and fatty acid-induced insulin resistance
Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., & Flier, J. S. (2006) · Journal of Clinical Investigation · doi:10.1172/jci28898 · Cited by 3,690
Fatty acid synthase and the lipogenic phenotype in cancer pathogenesis
Menendez, J. A., & Lupu, R. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2222 · Cited by 2,941 · cited 1×
“Plasma FFAs have also been linked to cystic fibrosis [16], asthma [17], cancer and cancer-induced cachexia [18,19], impairment of general lymphocyte function [20], and sudden cardiac death [21].”
BackgroundBurr, M. L., Gilbert, J. F., Holliday, R. M., Elwood, P. C., Fehily, A. M., Rogers, S., Sweetnam, P. M., & Deadman, N. M. (1989) · The Lancet · doi:10.1016/s0140-6736(89)90828-3 · Cited by 2,610
Oh, D. Y., Talukdar, S., Bae, E. J., Imamura, T., Morinaga, H., Fan, W., Li, P., Lu, W. J., Watkins, S. M., & Olefsky, J. M. (2010) · Cell · doi:10.1016/j.cell.2010.07.041 · Cited by 2,428
James, A. T., & Martin, A. J. P. (1952) · Biochemical Journal · doi:10.1042/bj0500679 · Cited by 1,822
Update of the LIPID MAPS comprehensive classification system for lipids
Fahy, E., Subramaniam, S., Murphy, R. C., Nishijima, M., Raetz, C. R. H., Shimizu, T., Spener, F., van Meer, G., Wakelam, M. J. O., & Dennis, E. A. (2009) · Journal of Lipid Research · doi:10.1194/jlr.r800095-jlr200 · Cited by 1,628
Self-citation
Cited by
Biomarkers of NAFLD progression: a lipidomics approach to an epidemic
Gorden, D. L., Myers, D. S., Ivanova, P. T., Fahy, E., Maurya, M. R., Gupta, S., Min, J., Spann, N. J., McDonald, J. G., Kelly, S. L., et al. (2015) · Journal of Lipid Research · doi:10.1194/jlr.p056002 · Cited by 372
Self-citationANGPTL8 has both endocrine and autocrine effects on substrate utilization
Oldoni, F., Cheng, H., Banfi, S., Gusarova, V., Cohen, J. C., & Hobbs, H. H. (2020) · JCI Insight · doi:10.1172/jci.insight.138777 · Cited by 73
Schröter, J., & Schiller, J. (2016) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2016/8386362 · Cited by 51
The Role of Fatty Acid Metabolites in Vaginal Health and Disease: Application to Candidiasis
Baldewijns, S., Sillen, M., Palmans, I., Vandecruys, P., Van Dijck, P., & Demuyser, L. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.705779 · Cited by 44
Metadata
- Authors
- Quehenberger, O., Armando, A. M., & Dennis, E. A.
- Venue
- Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids
- Publisher
- Elsevier BV
- Published
- 2011-11
- Volume
- 1811
- Issue
- 11
- Pages
- 648-656
- ISSN
- 1388-1981 (ISSN-L)
- OpenAlex
- W1974356017
- Cited by
- 258
- References
- 60
- FWCI
- 3.06
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: High sensitivity quantitative lipidomics analysis of fatty acids in biological samples by gas chromatography–mass spectrometry. https://app.cochat.ai/papers/10.1016/j.bbalip.2011.07.006
- The paper
- Quehenberger, O., Armando, A. M., & Dennis, E. A. (2011). High sensitivity quantitative lipidomics analysis of fatty acids in biological samples by gas chromatography–mass spectrometry. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. https://doi.org/10.1016/j.bbalip.2011.07.006
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
