Evidence map›Paper›PMID 31429055›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

Absolute Quantitation of Oxidizable Peptides by Coulometric Mass Spectrometry.

Pengyi Zhao, Richard N Zare, Hao Chen

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 14 citations in OpenAlex.

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  5. Absolute Quantitation ofJournal of the American Society for Mass Spectrometry · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Pengyi ZhaoDepartment of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, NJ, 07102, USA.
Richard N ZareDepartment of Chemistry, Stanford University, Stanford, CA, 94305-5080, USA. zare@stanford.edu.
Hao ChenDepartment of Chemistry & Environmental Science, New Jersey Institute of Technology, Newark, NJ, 07102, USA. hao.chen.2@njit.edu.
New Jersey Institute of Technology · USStanford University · US

Funding

National Science Foundation CHE-1915878
6 · The paper itself

Abstract

Quantitation methods for peptides using mass spectrometry have advanced rapidly. These methods rely on using standard and/or isotope-labeled peptides, which might be difficult or expensive to synthesize. To tackle this challenge, we present a new approach for absolute quantitation without the use of standards or calibration curves based on coulometry combined with mass spectrometry (MS). In this approach, which we call coulometric mass spectrometry (CMS), the mass spectrum of a target peptide containing one or more tyrosine residues is recorded before and after undergoing electrochemical oxidation. We record the total integrated oxidation current from the electrochemical measurement, which according to the Faraday's Law of coulometry, provides the number of moles of oxidized peptide. The ion intensity ratio of the target peptide before and after oxidation provides an excellent estimate of the fraction of the peptide that has been oxidized, from which the total amount of peptide is calculated. The striking strength of CMS is that it needs no standard peptide, but CMS does require the peptide to contain a known number of oxidizable groups. To illustrate the power of this method, we analyzed various tyrosine-containing peptides such as GGYR, DRVY, oxytocin, [Arg

Indexed as

Electrochemical TechniquesMass SpectrometryOxidation-ReductionPeptidesTyrosinePeptidesTyrosineCoulometryElectrochemistryMass spectrometryPeptideQuantitation

Identifiers

PMID31429055
OpenAlexW2969454532

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.