| Title |
LC-MS/MS-based analysis of coenzyme A and short-chain acyl-coenzyme A thioesters
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, July 2015
|
| DOI | 10.1007/s00216-015-8825-9 |
| Pubmed ID | |
| Authors |
Stefan Neubauer, Dinh Binh Chu, Hans Marx, Michael Sauer, Stephan Hann, Gunda Koellensperger |
| Abstract |
Absolute quantification of intracellular coenzyme A (CoA), coenzyme A disulfide, and short-chain acyl-coenzyme A thioesters was addressed by developing a tailored metabolite profiling method based on liquid chromatography in combination with tandem mass spectrometric detection (LC-MS/MS). A reversed phase chromatographic separation was established which is capable of separating a broad spectrum of CoA, its corresponding derivatives, and their isomers despite the fact that no ion-pairing reagent was used (which was considered as a key advantage of the method). Excellent analytical figures of merit such as high sensitivity (LODs in the nM to sub-nM range) and high repeatability (routinely 4 %; N = 15) were obtained. Method validation comprised a study on standard purity, stability, and recoveries during sample preparation. Uniformly labeled U(13)C yeast cell extracts offered ideal internal standards for validation purposes and for a quantification exercise in the rumen bacterium Megasphaera elsdenii. |
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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 1% |
| Vietnam | 1 | 1% |
| Unknown | 88 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 22% |
| Researcher | 16 | 18% |
| Student > Bachelor | 9 | 10% |
| Student > Master | 8 | 9% |
| Student > Doctoral Student | 7 | 8% |
| Other | 9 | 10% |
| Unknown | 21 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 27% |
| Chemistry | 23 | 26% |
| Agricultural and Biological Sciences | 12 | 13% |
| Engineering | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 23 | 26% |
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 26 August 2015.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,541
of 9,618 outputs
Outputs of similar age
#235,960
of 276,415 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#75
of 191 outputs
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So far Altmetric has tracked 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 191 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.