Evidence map›Paper›PMID 42832747›Full record

ArticleAnalytical chemistry2026

From Single Injection to Dual Insights: Integrating EAD and CID Acquisition for Spectral Library Generation and EAD-CID Spectral Matching.

Lisa Panzenboeck, Christina Brenner, Veronika Fitz, Mingxun Wang, Patrick Mueller, Evelyn Rampler, Yasin El Abiead, Gunda Koellensperger

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Lisa PanzenboeckDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090Vienna, Austria.ORCID 0000-0001-6694-3499
Christina BrennerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090Vienna, Austria.ORCID 0009-0002-2419-2708
Veronika FitzDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090Vienna, Austria.
Mingxun WangDepartment of Computer Science and Engineering, University of California Riverside, Riverside, California92521, United States.ORCID 0000-0001-7647-6097
Patrick MuellerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090Vienna, Austria.ORCID 0000-0003-1597-0299
Evelyn RamplerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090Vienna, Austria.ORCID 0000-0002-9429-7663
Yasin El AbieadBOKU University, Department of Chemistry, Institute of Analytical Chemistry, Muthgasse 18, 1190Vienna, Austria.
Gunda KoellenspergerDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, 1090Vienna, Austria.ORCID 0000-0002-1460-4919

Funding

Austrian Science Fund I6482BAustrian Science Fund KLI 1089?sterreichische Akademie der Wissenschaften NA
6 · The paper itself

Abstract

Mass spectral MS/MS libraries are essential in nontargeted metabolomics as they facilitate metabolite annotation and provide the basis for in silico annotation tools and fragmentation rules. While significant progress has been made toward more comprehensive MS/MS libraries, those efforts have focused mainly on collision-induced dissociation (CID)- and higher-energy collisional dissociation (HCD)-based approaches. In this work, we introduce a flow injection-high-resolution targeted MS/MS-based acquisition strategy that acquires electron-activated dissociation (EAD) and CID across a wide range of fragmentation energies within a single injection. The workflow supports both nontargeted and targeted analysis, through efficient library generation and MS/MS parameter optimization, respectively. We apply the workflow via a set of 45 steroid standards, known for their important role in human health, disease, and doping, expanding the coverage of public libraries for both CID and EAD. Finally, we utilize public MS/MS libraries and raw data to reveal that EAD MS/MS spectra can, to some extent, be annotated via existing MS/MS libraries, governed by CID and HCD, and show that the acquired CID library enables novel annotations in publicly available clinical data, demonstrating its utility for biological studies.

Indexed as

MetabolomicsSteroidsTandem Mass SpectrometryElectronsFlow Injection AnalysisHumansSteroids

Identifiers

PMID42832747
PMCPMC13689410

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.