| Title |
Identification of isobaric lyso-phosphatidylcholines in lipid extracts of gilthead sea bream (Sparus aurata) fillets by hydrophilic interaction liquid chromatography coupled to high-resolution Fourier-transform mass spectrometry
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, May 2015
|
| DOI | 10.1007/s00216-015-8671-9 |
| Pubmed ID | |
| Authors |
Sara Granafei, Ilario Losito, Francesco Palmisano, Tommaso R. I. Cataldi |
| Abstract |
The numerous and varied biological roles of phosphatidylcholines (PC) and lysophosphatidylcholines (LPC) have fueled a great demand for technologies that enable rapid, in-depth structural examination of these lipids in foodstuffs. Here, we describe the capabilities of a newly configured combination of high-efficiency liquid chromatography and high-resolution/accuracy Fourier-transform mass spectrometry with electrospray ionization (LC-ESI-FTMS), designed for lipidomics applications that require the identification of PC in their lyso forms. The devised strategy, involving a separation by hydrophilic interaction liquid chromatography (HILIC) on spherical, fused-core ultrapure silica particles (2.7 μm) of a narrow-bore column (2.1 mm i.d.), enabled the identification of as many as 71 LPC species in the lipid extracts of gilthead sea bream (Sparus aurata) fillets. In this way, LPC as proton (43) and sodium (28) adducts, i.e., [M + H](+) and [M + Na](+) ions (with M representing the zwitterionic form), were identified. In several cases, the extremely high (sub-ppm) mass accuracy and the high chromatographic efficiency available with the adopted instrumentation enabled the distinction of isobaric and closely eluting LPC species. Informative tandem mass spectra, based on high-energy collision induced dissociation (HCD), were also obtained, thus distinguishing regioisomeric LPC species (i.e., LPC differing only for the location of the residual side chain on the glycerol backbone) and between proton and sodium adducts. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 3% |
| Austria | 1 | 3% |
| Unknown | 31 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Master | 6 | 18% |
| Student > Bachelor | 3 | 9% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 5 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 18 | 55% |
| Agricultural and Biological Sciences | 3 | 9% |
| Psychology | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 7 | 21% |
Attention Score in Context
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