Preprints
https://doi.org/10.5194/egusphere-2024-3132
https://doi.org/10.5194/egusphere-2024-3132
14 Oct 2024
 | 14 Oct 2024
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Product Ion Distributions using H3O+ PTR-ToF-MS: Mechanisms, Transmission Effects, and Instrument-to-Instrument Variability

Michael F. Link, Megan S. Claflin, Christina E. Cecelski, Ayomide A. Akande, Delaney Kilgour, Paul A. Heine, Matthew Coggon, Chelsea E. Stockwell, Andrew Jensen, Jie Yu, Han N. Huynh, Jenna C. Ditto, Carsten Warneke, William Dresser, Keighan Gemmell, Spiro Jorga, Rileigh L. Robertson, Joost de Gouw, Timothy Bertram, Jonathan P. D. Abbatt, Nadine Borduas-Dedekind, and Dustin Poppendieck

Abstract. Proton-transfer-reaction mass spectrometry (PTR-MS) using hydronium ion (H3O+) ionization is widely used for the measurement of volatile organic compounds (VOCs) both indoors and outdoors. Unlike more energetic ionization methods (e.g., electron impact), H3O+ ionization can leave a target VOC molecule mostly intact and thus a VOC in a PTR-MS mass spectrum can be identified by its mass-to-charge ratio corresponding to the proton-transfer product (MH+). However, H3O+ ionization, and associated chemistry in the ion molecule reactor, is known to generate other product ions besides the proton-transfer product. The product ion distributions (PIDs) created during ionization include ions resulting from charge transfer reactions, water clustering, and fragmentation, all of which can create ambiguity when interpreting PTR-MS mass spectra. A standardized method of evaluating and quantifying the possible influence of PIDs on PTR-MS mass spectra is limited in part due to an incomplete understanding of the formation mechanisms and effects of instrument settings on measured PIDs, as well as the reasons for instrument-to-instrument variability.

We present a method, using gas-chromatography pre-separation, for quantifying PIDs from PTR-MS measurements of nearly 100 VOCs of different functional types including alcohols, ketones, aldehydes, acids, aromatics, halogens, and alkenes. Using this method we highlight major contributions of water cluster and fragment product ions to the PIDs of oxygenated VOCs. We characterize the influence of ion-molecule reactor conditions, ion transmission effects from quadrupole and ion optic tuning, and inlet capillary configuration on measured PIDs. We find that reactor conditions have the strongest impact on measured PIDs, but ion optic voltage differences and inlet capillary configuration can also affect PIDs.

Through an interlaboratory comparison of PIDs measured from calibration cylinders we characterize the variability of PID production from the same model of PTR-MS across seven participating laboratories. A subset of VOCs measured by the different laboratories had standard deviations (1 σ) associated with product ions that varied no more than 20 % thus providing a constraint for predicting PIDs across instruments operating under different conditions. We highlight the potential for misidentification of VOCs in PTR-MS mass spectra with a case study measurement of restroom air. We propose methods for identifying likely product ions and constraining the influence of PIDs on PTR-MS mass spectra. Finally, we present a library of H3O+ PIDs, from measurements acquired as part of this study, to be publicly available and updated periodically with user-provided data for the continued investigation into instrument-to-instrument variability of PIDs.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Michael F. Link, Megan S. Claflin, Christina E. Cecelski, Ayomide A. Akande, Delaney Kilgour, Paul A. Heine, Matthew Coggon, Chelsea E. Stockwell, Andrew Jensen, Jie Yu, Han N. Huynh, Jenna C. Ditto, Carsten Warneke, William Dresser, Keighan Gemmell, Spiro Jorga, Rileigh L. Robertson, Joost de Gouw, Timothy Bertram, Jonathan P. D. Abbatt, Nadine Borduas-Dedekind, and Dustin Poppendieck

Status: open (until 04 Dec 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Michael F. Link, Megan S. Claflin, Christina E. Cecelski, Ayomide A. Akande, Delaney Kilgour, Paul A. Heine, Matthew Coggon, Chelsea E. Stockwell, Andrew Jensen, Jie Yu, Han N. Huynh, Jenna C. Ditto, Carsten Warneke, William Dresser, Keighan Gemmell, Spiro Jorga, Rileigh L. Robertson, Joost de Gouw, Timothy Bertram, Jonathan P. D. Abbatt, Nadine Borduas-Dedekind, and Dustin Poppendieck
Michael F. Link, Megan S. Claflin, Christina E. Cecelski, Ayomide A. Akande, Delaney Kilgour, Paul A. Heine, Matthew Coggon, Chelsea E. Stockwell, Andrew Jensen, Jie Yu, Han N. Huynh, Jenna C. Ditto, Carsten Warneke, William Dresser, Keighan Gemmell, Spiro Jorga, Rileigh L. Robertson, Joost de Gouw, Timothy Bertram, Jonathan P. D. Abbatt, Nadine Borduas-Dedekind, and Dustin Poppendieck

Viewed

Total article views: 316 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
231 74 11 316 15 2 2
  • HTML: 231
  • PDF: 74
  • XML: 11
  • Total: 316
  • Supplement: 15
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 14 Oct 2024)
Cumulative views and downloads (calculated since 14 Oct 2024)

Viewed (geographical distribution)

Total article views: 300 (including HTML, PDF, and XML) Thereof 300 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Nov 2024
Download
Short summary
Proton-transfer-reaction mass spectrometry (PTR-MS) is widely used for the measurement of volatile organic compounds (VOCs) both indoors and outdoors. An analytical challenge for PTR-MS measurements is the formation of unintended measurement interferences, product ion distributions (PIDs), that may appear in the data as VOCs of interest. We developed a method for quantifying PID formation and use interlaboratory comparison data to put quantitative constraints on PID formation.