Evidence map›Paper›PMID 29750076›Full record

ArticleInternational journal of mass spectrometry2018

Enhancing Sensitivity of Liquid Chromatography-Mass Spectrometry of Peptides and Proteins Using Supercharging Agents.

Michael Nshanian, Rajeswari Lakshmanan, Hao Chen, Rachel R Ogorzalek Loo, Joseph A Loo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of mass spectrometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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  18. Coaxial Electrospray Ionization for the Study of Rapid In-source Chemistry.Journal of the American Society for Mass Spectrometry · 2018
    Article
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

5 authors.

Michael NshanianDepartment of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095.
Rajeswari LakshmananDepartment of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095.
Hao ChenCenter for Intelligent Chemical Instrumentation, Department of Chemistry and Biochemistry, Edison Biotechnology Institute, Ohio University, Athens, OH 45701.
Rachel R Ogorzalek LooDepartment of Biological Chemistry, David Geffen School of Medicine at UCLA, Molecular Biology Institute, and UCLA/DOE Institute for Genomics and Proteomics, University of California-Los Angeles, Los Angeles, CA 90095.
Joseph A LooDepartment of Chemistry and Biochemistry, University of California-Los Angeles, Los Angeles, CA 90095.

Funding

UV Laser for Photodissociation-Mass Spectrometry of Proteins and Protein ComplexesR01GM103479 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LOO, JOSEPH A · 2012 to 2021
$3.2M
NIGMS NIH HHS R01 GM103479
6 · The paper itself

Abstract

Trifluoroacetic acid (TFA) is often used as a mobile phase modifier to enhance reversed phase chromatographic performance. TFA adjusts solution pH and is an ion-pairing agent, but it is not typically suitable for electrospray ionization-mass spectrometry (ESI-MS) and liquid chromatography/MS (LC/MS) because of its significant signal suppression. Supercharging agents elevate peptide and protein charge states in ESI, increasing tandem MS (MS/MS) efficiency. Here, LC/MS protein supercharging was effected by adding agents to LC mobile phase solvents. Significantly, the ionization suppression generally observed with TFA was, for the most part, rescued by supercharging agents, with improved separation efficiency (higher number of theoretical plates) and lowered detection limits.

Indexed as

electrospray ionization mechanismion suppressionliquid chromatographysupercharging

Identifiers

PMID29750076
PMCPMC5937529

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Registered trials

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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.