| Title |
Determining fatty acids by desorption/ionization mass spectrometry using thin-layer chromatography substrates
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, March 2015
|
| DOI | 10.1007/s00216-015-8630-5 |
| Pubmed ID | |
| Authors |
Mario F. Mirabelli, Giuseppe Coviello, Dietrich A. Volmer |
| Abstract |
In this study, we demonstrate the application of ambient mass spectrometry for measuring fatty acids from various biological sample matrices such as olive oil, fish oil, salmon, and human serum. Optimum performance was obtained after spotting samples onto thin-layer chromatography (TLC) plates as sample substrates for a custom-built solvent-assisted desorption/ionization mass spectrometry (DI-MS) interface. Good to excellent linearities (coefficients of determination, 0.9856 to 0.9977) and reproducibilities (average 6 % relative standard deviation (RSD) using syringe deposition) were obtained after application of an internal standard. Signal suppression phenomena were minimized by separating the analytes by TLC to some extent prior to DI-MS, leading to a fourfold increase of signal-to-noise ratios as compared to single spot mixture analysis without TLC separation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 8% |
| Unknown | 12 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Student > Postgraduate | 2 | 15% |
| Researcher | 2 | 15% |
| Professor | 1 | 8% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 7 | 54% |
| Unspecified | 1 | 8% |
| Agricultural and Biological Sciences | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 June 2015.
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#22,759,452
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Outputs from Analytical & Bioanalytical Chemistry
#7,542
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Outputs of similar age from Analytical & Bioanalytical Chemistry
#117
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