<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shi X</submitter><funding>European Commission</funding><funding>Stockholms Universitet</funding><funding>Ymer-80 foundation</funding><funding>HORIZON EUROPE Marie Sklodowska-Curie Actions</funding><pagination>4699-4708</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11912331</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>59(9)</volume><pubmed_abstract>Hydrophobic organic contaminants (HOCs) are conventionally screened by matching electron ionization (EI) mass spectra acquired using gas chromatography-mass spectrometry (GC-MS) to reference spectra. However, extensive in-source fragmentation hampers de novo structure elucidation of novel substances that are absent from EI databases. To address this problem, a new method based on GC-atmospheric pressure chemical ionization (APCI) coupled to ion mobility-high resolution mass spectrometry (IM-HRMS) was developed for simultaneous target, suspect, and nontarget screening of HOCs. Of 102 target chemicals, 85.3% produced (quasi-)molecular ions as base peaks, while 71.6% displayed method detection limits lower than those of GC-EI-low resolution MS. The optimized method was applied to standard reference sediment and sediments from the Baltic Sea, an Arctic shelf, and a Norwegian lake. In total, we quantified 56 target chemicals with concentrations ranging from 4.86 pg g&lt;sup>-1&lt;/sup> to 124 ng g&lt;sup>-1&lt;/sup> dry weight. Further, using a combination of full scan mass spectrum, retention time, collision cross section (CCS), and fragmentation spectrum, a total of 54 suspects were identified at Confidence Level (CL) 2. Among the remaining features, 169 were prioritized using a halogen-selective CCS cutoff (100 Å&lt;sup>2&lt;/sup> + 20% mass), leading to annotation of 54 substances (CL ≤ 3). Notably, a suite of fluorotelomer thiols, disulfides, and alkyl sulfones were identified in sediment (CL 1-2) for the first time. Overall, this work demonstrates the potential of GC-APCI-IM-HRMS as a next-generation technique for resolving complex HOC mixtures in environmental samples through exploitation of molecular ions.</pubmed_abstract><journal>Environmental science &amp; technology</journal><pubmed_title>Exploiting Molecular Ions for Screening Hydrophobic Contaminants in Sediments Using Gas Chromatography-Atmospheric Pressure Chemical Ionization-Ion Mobility-Mass Spectrometry.</pubmed_title><pmcid>PMC11912331</pmcid><funding_grant_id>101036756</funding_grant_id><funding_grant_id>101150779</funding_grant_id><pubmed_authors>Benskin JP</pubmed_authors><pubmed_authors>Langberg HA</pubmed_authors><pubmed_authors>Shi X</pubmed_authors><pubmed_authors>Sobek A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Exploiting Molecular Ions for Screening Hydrophobic Contaminants in Sediments Using Gas Chromatography-Atmospheric Pressure Chemical Ionization-Ion Mobility-Mass Spectrometry.</name><description>Hydrophobic organic contaminants (HOCs) are conventionally screened by matching electron ionization (EI) mass spectra acquired using gas chromatography-mass spectrometry (GC-MS) to reference spectra. However, extensive in-source fragmentation hampers de novo structure elucidation of novel substances that are absent from EI databases. To address this problem, a new method based on GC-atmospheric pressure chemical ionization (APCI) coupled to ion mobility-high resolution mass spectrometry (IM-HRMS) was developed for simultaneous target, suspect, and nontarget screening of HOCs. Of 102 target chemicals, 85.3% produced (quasi-)molecular ions as base peaks, while 71.6% displayed method detection limits lower than those of GC-EI-low resolution MS. The optimized method was applied to standard reference sediment and sediments from the Baltic Sea, an Arctic shelf, and a Norwegian lake. In total, we quantified 56 target chemicals with concentrations ranging from 4.86 pg g&lt;sup>-1&lt;/sup> to 124 ng g&lt;sup>-1&lt;/sup> dry weight. Further, using a combination of full scan mass spectrum, retention time, collision cross section (CCS), and fragmentation spectrum, a total of 54 suspects were identified at Confidence Level (CL) 2. Among the remaining features, 169 were prioritized using a halogen-selective CCS cutoff (100 Å&lt;sup>2&lt;/sup> + 20% mass), leading to annotation of 54 substances (CL ≤ 3). Notably, a suite of fluorotelomer thiols, disulfides, and alkyl sulfones were identified in sediment (CL 1-2) for the first time. Overall, this work demonstrates the potential of GC-APCI-IM-HRMS as a next-generation technique for resolving complex HOC mixtures in environmental samples through exploitation of molecular ions.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-04-26T05:47:24.513Z</modification><creation>2025-04-06T11:37:59.792Z</creation></dates><accession>S-EPMC11912331</accession><cross_references><pubmed>39996462</pubmed><doi>10.1021/acs.est.4c13059</doi></cross_references></HashMap>