ArticleChemical science2017
A structural examination and collision cross section database for over 500 metabolites and xenobiotics using drift tube ion mobility spectrometry.
Article in Chemical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed.
- Chromatography Coupled to High-Resolution Mass Spectrometry Analysis Reveals Flaws in van Krevelen Compound Class Assignments in DOM.Environmental science & technology · 2026Article
- Structural determination of natural products at speeds and scale of high-throughput screening.Natural product reports · 2026Review
- Performance Evaluation of Constant Field and Traveling Wave-Based Structures for Lossless Ion Manipulations Devices Coupled to Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2025Article
- Updated Guidance for Communicating PFAS Identification Confidence with Ion Mobility Spectrometry.Environmental science & technology · 2025Article
- Reference library for suspect screening of environmental toxicants using ion mobility spectrometry-mass spectrometry.Communications chemistry · 2025Article
- Bromine-Based Derivatization of Carboxyl-Containing Metabolites for Liquid Chromatography-Trapped Ion Mobility Spectrometry-Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2025Article
- In Silico Characterization of Glycan Ions from IM-MS Collision Cross Section.Journal of the American Society for Mass Spectrometry · 2025Article
- Ion Mobility-Coupled Mass Spectrometry for Metallophore Detection.Journal of natural products · 2025Article
- Eliminating the Deadwood: A Machine Learning Model for CCS Knowledge-Based Conformational Focusing for Lipids.Journal of chemical information and modeling · 2024Article
- Mapping microhabitats of lignocellulose decomposition by a microbial consortium.Nature chemical biology · 2024Article
- Quantitative Online Monitoring of an Immobilized Enzymatic Network by Ion Mobility-Mass Spectrometry.Journal of the American Chemical Society · 2024Article
- Measurement of very low-molecular weight metabolites by traveling wave ion mobility and its use in human urine samples.Journal of pharmaceutical analysis · 2024Article
- Development of a Modular, Open-Source, Reduced-Pressure, Drift Tube Ion Mobility Spectrometer.Journal of the American Society for Mass Spectrometry · 2024Article
- On-tissue dataset-dependent MALDI-TIMS-MSNature communications · 2023Article
- High-throughput analysis of lipidomic phenotypes of methicillin-resistant Staphylococcus aureus by coupling in situ 96-well cultivation and HILIC-ion mobility-mass spectrometry.Analytical and bioanalytical chemistry · 2023Article
- Collision cross section measurement and prediction methods in omics.Journal of mass spectrometry : JMS · 2023Review
- Implementing the Use of Collision Cross Section Database for Phycotoxin Screening Analysis.Journal of agricultural and food chemistry · 2023Article
- Highly accurate and large-scale collision cross sections prediction with graph neural networks.Communications chemistry · 2023Article
- General Method to Obtain Collision Cross-Section Values in Multipass High-Resolution Cyclic Ion Mobility Separations.Analytical chemistry · 2023Article
- Collision Cross Section Prediction Based on Machine Learning.Molecules (Basel, Switzerland) · 2023Review
19 more citing papers are in PubMed but not listed here.
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Authors and funding
11 authors.
Funding
Abstract
The confident identification of metabolites and xenobiotics in biological and environmental studies is an analytical challenge due to their immense dynamic range, vast chemical space and structural diversity. Ion mobility spectrometry (IMS) is widely used for small molecule analyses since it can separate isomeric species and be easily coupled with front end separations and mass spectrometry for multidimensional characterizations. However, to date IMS metabolomic and exposomic studies have been limited by an inadequate number of accurate collision cross section (CCS) values for small molecules, causing features to be detected but not confidently identified. In this work, we utilized drift tube IMS (DTIMS) to directly measure CCS values for over 500 small molecules including primary metabolites, secondary metabolites and xenobiotics. Since DTIMS measurements do not need calibrant ions or calibration like some other IMS techniques, they avoid calibration errors which can cause problems in distinguishing structurally similar molecules. All measurements were performed in triplicate in both positive and negative polarities with nitrogen gas and seven different electric fields, so that relative standard deviations (RSD) could be assessed for each molecule and structural differences studied. The primary metabolites analyzed to date have come from key metabolism pathways such as glycolysis, the pentose phosphate pathway and the tricarboxylic acid cycle, while the secondary metabolites consisted of classes such as terpenes and flavonoids, and the xenobiotics represented a range of molecules from antibiotics to polycyclic aromatic hydrocarbons. Different CCS trends were observed for several of the diverse small molecule classes and when urine features were matched to the database, the addition of the IMS dimension greatly reduced the possible number of candidate molecules. This CCS database and structural information are freely available for download at http://panomics.pnnl.gov/metabolites/ with new molecules being added frequently.
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Registered trials
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.