| Title |
Overcoming the equivalent-chain-length rule with pH-zone-refining countercurrent chromatography for the preparative separation of fatty acids
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, May 2015
|
| DOI | 10.1007/s00216-015-8723-1 |
| Pubmed ID | |
| Authors |
Michael Englert, Walter Vetter |
| Abstract |
Purification of individual fatty acids from vegetable oils by preparative liquid chromatography techniques such as countercurrent chromatography (CCC) is a challenging task due to the equivalent-chain-length (ECL) rule. It implies that one double bond equals two carbon atoms in the alkyl chain of a fatty acid and therefore causes co-elutions of saturated and unsaturated fatty acids. Accordingly, existing methods for the purification of individual fatty acids are cumbersome and time-consuming as two or more steps with different conditions are required. To avoid additional purification steps, we report a method utilizing pH-zone-refining CCC which enabled the purification of all major fatty acids from sunflower oil (purities >95 %) in one step by circumventing co-elutions caused by the ECL rule. This method is based on the involvement of acid strength and hydrophobicity of fatty acids during the separation process. By exploiting the preparative character of the pH-zone-refining mode, a tenfold sample amount of free fatty acids from sunflower oil could be separated in comparison to regular CCC. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 44% |
| Student > Ph. D. Student | 1 | 11% |
| Lecturer | 1 | 11% |
| Researcher | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Other | 0 | 0% |
| Unknown | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 67% |
| Chemical Engineering | 1 | 11% |
| Agricultural and Biological Sciences | 1 | 11% |
| Medicine and Dentistry | 1 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 25 February 2016.
All research outputs
#7,301,532
of 25,373,627 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,676
of 9,618 outputs
Outputs of similar age
#81,406
of 279,091 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#14
of 193 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 9,618 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 82% of its peers.
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We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.