The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Atmospheric pressure chemical ionization mass spectrometry for analysis of lipids
Abstract
Atmospheric pressure chemical ionization (APCI) mass spectrometry (MS) has proven to be a very valuable technique for analysis of lipids from a variety of classes. This instrumental method readily produces useful ions with gentle fragmentation from large neutral molecules such as triacylglycerols and carotenoids, which are often difficult to analyze using other techniques. Molecules that are easily ionized, such as phospholipids, produce molecular ions and diagnostically useful fragment ions that are complementary to those produced by methods such as electrospray ionization MS with collision‐induced dissociation. The simplicity and versatility of APCI‐MS make it an ideal tool for use in solving hitherto very difficult analytical problems.
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Cites
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Cited by
Han, X., & Gross, R. W. (2003) · Journal of Lipid Research · doi:10.1194/jlr.r300004-jlr200 · Cited by 914
Watson, A. D. (2006) · Journal of Lipid Research · doi:10.1194/jlr.r600022-jlr200 · Cited by 455
An update of MALDI-TOF mass spectrometry in lipid research
Fuchs, B., Süß, R., & Schiller, J. (2010) · Progress in Lipid Research · doi:10.1016/j.plipres.2010.07.001 · Cited by 324
Identification of disease markers in human cerebrospinal fluid using lipidomic and proteomic methods
Fonteh, A. N., Harrington, R. J., Huhmer, A. F., Biringer, R. G., Riggins, J. N., & Harrington, M. G. (2006) · Disease Markers · doi:10.1155/2006/202938 · Cited by 113
Carrasco-Pancorbo, A., Navas-Iglesias, N., & Cuadros-Rodríguez, L. (2009) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2008.12.005 · Cited by 100
Metadata
- Authors
- Byrdwell, W. C.
- Venue
- Lipids
- Publisher
- Wiley
- Published
- 2001-04
- Volume
- 36
- Issue
- 4
- Pages
- 327-346
- ISSN
- 0024-4201 (ISSN-L)
- 1558-9307
- OpenAlex
- W2028583333
- Cited by
- 279
- References
- 33
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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