Literature DB >> 34366560

Data Processing Workflow to Identify Structurally Related Compounds in Petroleum Substances Using Ion Mobility Spectrometry-Mass Spectrometry.

Alina T Roman-Hubers1, Alexandra C Cordova1, Noor A Aly1, Thomas J McDonald2, Dillon T Lloyd3, Fred A Wright3, Erin S Baker4, Weihsueh A Chiu1, Ivan Rusyn1.   

Abstract

Ion mobility spectrometry coupled with mass spectrometry (IMS-MS) is a post-ionization separation technique that can be used for rapid multidimensional analyses of complex samples. IMS-MS offers untargeted analysis, including ion-specific conformational data derived as collisional cross section (CCS) values. Here, we combine nitrogen gas drift tube CCS (DTCCSN2) and Kendrick mass defect (KMD) analyses based on CH2 and H functional units to enable compositional analyses of petroleum substances. First, polycyclic aromatic compound standards were analyzed by IMS-MS to demonstrate how CCS assists the identification of isomeric species in homologous series. Next, we used case studies of a gasoline standard previously characterized for paraffin, isoparaffin, aromatic, naphthene, and olefinic (PIANO) compounds, and a crude oil sample to demonstrate the application of the KMD analyses and CCS filtering. Finally, we propose a workflow that enables confident molecular formula assignment to the IMS-MS-derived features in petroleum samples. Collectively, this work demonstrates how rapid untargeted IMS-MS analysis and the proposed data processing workflow can be used to provide confident compositional characterization of hydrocarbon-containing substances.

Entities:  

Year:  2021        PMID: 34366560      PMCID: PMC8341389          DOI: 10.1021/acs.energyfuels.1c00892

Source DB:  PubMed          Journal:  Energy Fuels        ISSN: 0887-0624            Impact factor:   3.605


  3 in total

1.  Characterization of Compositional Variability in Petroleum Substances.

Authors:  Alina T Roman-Hubers; Alexandra C Cordova; Arlean M Rohde; Weihsueh A Chiu; Thomas J McDonald; Fred A Wright; James N Dodds; Erin S Baker; Ivan Rusyn
Journal:  Fuel (Lond)       Date:  2022-02-12       Impact factor: 6.609

2.  Uncovering PFAS and Other Xenobiotics in the Dark Metabolome Using Ion Mobility Spectrometry, Mass Defect Analysis, and Machine Learning.

Authors:  MaKayla Foster; Markace Rainey; Chandler Watson; James N Dodds; Kaylie I Kirkwood; Facundo M Fernández; Erin S Baker
Journal:  Environ Sci Technol       Date:  2022-06-02       Impact factor: 11.357

3.  Oil Irradiation Experiments Document Changes in Oil Properties, Molecular Composition, and Dispersant Effectiveness Associated with Oil Photo-Oxidation.

Authors:  Christoph Aeppli; Douglas A Mitchell; Phoebe Keyes; Erin C Beirne; Kelly M McFarlin; Alina T Roman-Hubers; Ivan Rusyn; Roger C Prince; Lin Zhao; Thomas F Parkerton; Tim Nedwed
Journal:  Environ Sci Technol       Date:  2022-05-23       Impact factor: 11.357

  3 in total

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