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High-Efficiency Microflow and Nanoflow Negative Electrospray Ionization of Peptides Induced by Gas-Phase Proton Transfer Reactions

Overview of attention for article published in Analytical Chemistry, April 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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3 tweeters
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1 patent

Citations

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5 Dimensions

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20 Mendeley
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Title
High-Efficiency Microflow and Nanoflow Negative Electrospray Ionization of Peptides Induced by Gas-Phase Proton Transfer Reactions
Published in
Analytical Chemistry, April 2017
DOI 10.1021/acs.analchem.6b04466
Pubmed ID
Authors

Marija Nišavić, Amela Hozić, Zdenko Hameršak, Martina Radić, Ana Butorac, Marija Duvnjak, Mario Cindrić

Abstract

Liquid chromatography coupled to electrospray ionization mass spectrometry is routinely used in proteomics research. Mass spectrometry-based peptide analysis is de facto performed in positive ion mode, except for the analysis of some post-translationally modified peptides (e.g. phosphorylation and glycosylation). Collected mass spectrometry data after peptide negative ionization analysis is scarce because of a lack of negatively charged amino acid side chain residues that would enable efficient ionization (i.e. in average, every tenth amino acid residue is negatively charged). Also, several phenomena linked to negative ionization such as corona discharge, arcing and electrospray destabilization due to the presence of polar mobile-phase solutions or acidic mobile phase additives (e.g. formic or trifluoroacetic acid) reduce its use. Named phenomena influence micro- and nano-flow electrospray ionization of peptides in a way that prevents formation of negatively charged peptide ions. In this work we have investigated the effects of post-column addition of isopropanol solutions of formaldehyde, 2,2-dimethylpropanal, ethyl methanoate and 2-phenyl-2-oxoethanal as the negative ion mode mobile phase modifiers for the analysis of peptides. According to the obtained data, all four modifiers exhibited significant enhancement of peptide negative ionization, while ethyl methanoate showed the best results. The proposed mechanism of action of the modifiers includes proton transfer reactions trough oxonium ion formation. In this way, mobile phase protons are prevented from interfering with the process of negative ionization. To the best of our knowledge, this is the first study that describes the use and reaction mechanism of aforementioned modifiers for enhancement of peptide negative ionization.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 45%
Researcher 4 20%
Other 3 15%
Student > Doctoral Student 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 1 5%
Readers by discipline Count As %
Chemistry 6 30%
Biochemistry, Genetics and Molecular Biology 4 20%
Engineering 3 15%
Agricultural and Biological Sciences 3 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 0 0%
Unknown 3 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 14 November 2018.
All research outputs
#4,178,551
of 14,821,238 outputs
Outputs from Analytical Chemistry
#4,949
of 20,965 outputs
Outputs of similar age
#88,629
of 264,534 outputs
Outputs of similar age from Analytical Chemistry
#61
of 275 outputs
Altmetric has tracked 14,821,238 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 20,965 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 76% 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 264,534 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 66% of its contemporaries.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.