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Two complementary reversed-phase separations for comprehensive coverage of the semipolar and nonpolar metabolome

Overview of attention for article published in Analytical & Bioanalytical Chemistry, December 2017
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  • High Attention Score compared to outputs of the same age and source (88th percentile)

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Title
Two complementary reversed-phase separations for comprehensive coverage of the semipolar and nonpolar metabolome
Published in
Analytical & Bioanalytical Chemistry, December 2017
DOI 10.1007/s00216-017-0768-x
Pubmed ID
Authors

Fuad J. Naser, Nathaniel G. Mahieu, Lingjue Wang, Jonathan L. Spalding, Stephen L. Johnson, Gary J. Patti

Abstract

Although it is common in untargeted metabolomics to apply reversed-phase liquid chromatography (RPLC) and hydrophilic interaction liquid chromatography (HILIC) methods that have been systematically optimized for lipids and central carbon metabolites, here we show that these established protocols provide poor coverage of semipolar metabolites because of inadequate retention. Our objective was to develop an RPLC approach that improved detection of these metabolites without sacrificing lipid coverage. We initially evaluated columns recently released by Waters under the CORTECS line by analyzing 47 small-molecule standards that evenly span the nonpolar and semipolar ranges. An RPLC method commonly used in untargeted metabolomics was considered a benchmarking reference. We found that highly nonpolar and semipolar metabolites cannot be reliably profiled with any single method because of retention and solubility limitations of the injection solvent. Instead, we optimized a multiplexed approach using the CORTECS T3 column to analyze semipolar compounds and the CORTECS C8 column to analyze lipids. Strikingly, we determined that combining these methods allowed detection of 41 of the total 47 standards, whereas our reference RPLC method detected only 10 of the 47 standards. We then applied credentialing to compare method performance at the comprehensive scale. The tandem method showed more than a fivefold increase in credentialing coverage relative to our RPLC benchmark. Our results demonstrate that comprehensive coverage of metabolites amenable to reversed-phase separation necessitates two reconstitution solvents and chromatographic methods. Thus, we suggest complementing HILIC methods with a dual T3 and C8 RPLC approach to increase coverage of semipolar metabolites and lipids for untargeted metabolomics. Graphical abstract Analysis of semipolar and nonpolar metabolites necessitates two reversed-phase chromatography (RPLC) methods, which extend metabolome coverage more than fivefold for untargeted profiling. HILIC hydrophilic interaction liquid chromatography.

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Mendeley readers

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The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 16%
Student > Ph. D. Student 12 14%
Student > Master 11 13%
Student > Bachelor 7 8%
Other 6 7%
Other 11 13%
Unknown 23 28%
Readers by discipline Count As %
Chemistry 17 20%
Agricultural and Biological Sciences 13 16%
Biochemistry, Genetics and Molecular Biology 12 14%
Pharmacology, Toxicology and Pharmaceutical Science 4 5%
Unspecified 2 2%
Other 3 4%
Unknown 32 39%
Attention Score in Context

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 02 February 2018.
All research outputs
#7,050,597
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,589
of 9,619 outputs
Outputs of similar age
#129,714
of 446,012 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#16
of 164 outputs
Altmetric has tracked 25,382,440 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 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,012 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 164 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.