Evidence map›Paper›PMID 40387875›Full record

ArticleJournal of the American Society for Mass Spectrometry2025

Peptide Analysis by Soft X-ray Atmospheric Pressure Photoionization Mass Spectrometry.

Simona Sedláčková, Juha-Pekka Hieta, Miroslava Blechová, Josef Cvačka

Abstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Simona SedláčkováInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo nám. 2, CZ-166 10 Prague 6, Czech Republic.
Juha-Pekka HietaDrug Research Program and Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, P.O. Box 56, FI-00014 Helsinki, Finland.
Miroslava BlechováInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo nám. 2, CZ-166 10 Prague 6, Czech Republic.
Josef CvačkaInstitute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo nám. 2, CZ-166 10 Prague 6, Czech Republic.ORCID 0000-0002-3590-9009

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bottom-up proteomics typically involves enzymatic digestion of proteins, generating a complex peptide mixture. These peptides are separated using reversed-phase ultrahigh-performance liquid chromatography (UHPLC) and analyzed using electrospray ionization (ESI) tandem mass spectrometry (MS/MS) in positive ion mode. Despite its widespread use, this approach has limitations, particularly in ionizing highly acidic or hydrophobic peptides and detecting certain post-translational modifications (PTMs). To overcome these challenges, alternative ionization methods, such as vacuum ultraviolet (VUV) atmospheric pressure photoionization (APPI), have been explored. In this study, we propose peptide analysis using a novel prototype APPI source employing soft X-ray photons. Soft X-ray photons possess orders of magnitude higher energy than VUV photons, enabling additional ionization pathways. Here, we present peptide ionization data using soft X-ray and VUV APPI in both positive and negative ion modes. Notably, soft X-ray photons exhibited a remarkable capacity to generate deprotonated peptides and hydrogen-deficient peptide radical anions ([M - 2H]

Indexed as

PeptidesSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryAtmospheric PressureChromatography, High Pressure LiquidPhotonsProtein Processing, Post-TranslationalProteomicsUltraviolet RaysX-RaysPeptides

Identifiers

PMID40387875
PMCPMC12142675

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.