Lisa Panzenboeck, Christina Brenner, Veronika Fitz, Mingxun Wang, Patrick Mueller, Evelyn Rampler, Yasin El Abiead, Gunda Koellensperger
{"title":"From Single Injection to Dual Insights: Integrating EAD and CID Acquisition for Spectral Library Generation and EAD–CID Spectral Matching","authors":"Lisa Panzenboeck, Christina Brenner, Veronika Fitz, Mingxun Wang, Patrick Mueller, Evelyn Rampler, Yasin El Abiead, Gunda Koellensperger","doi":"10.1021/acs.analchem.6c01204","DOIUrl":null,"url":null,"abstract":"<p>Mass spectral MS/MS\r\nlibraries are essential in nontargeted metabolomics\r\nas they facilitate metabolite annotation and provide the basis for\r\nin silico annotation tools and fragmentation rules. While significant\r\nprogress has been made toward more comprehensive MS/MS libraries,\r\nthose efforts have focused mainly on collision-induced dissociation\r\n(CID)- and higher-energy collisional dissociation (HCD)-based approaches.\r\nIn this work, we introduce a flow injection-high-resolution targeted\r\nMS/MS-based acquisition strategy that acquires electron-activated\r\ndissociation (EAD) and CID across a wide range of fragmentation energies\r\nwithin a single injection. The workflow supports both nontargeted\r\nand targeted analysis, through efficient library generation and MS/MS\r\nparameter optimization, respectively. We apply the workflow via a\r\nset of 45 steroid standards, known for their important role in human\r\nhealth, disease, and doping, expanding the coverage of public libraries\r\nfor both CID and EAD. Finally, we utilize public MS/MS libraries and\r\nraw data to reveal that EAD MS/MS spectra can, to some extent, be\r\nannotated via existing MS/MS libraries, governed by CID and HCD, and\r\nshow that the acquired CID library enables novel annotations in publicly\r\navailable clinical data, demonstrating its utility for biological\r\nstudies.</p>","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"98 41","pages":"29433–29444"},"PeriodicalIF":7.3000,"publicationDate":"2026-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.analchem.6c01204","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/10/2 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.