A new processing scheme for ultra-high resolution direct infusion mass spectrometry data
Authors
Kourtchev, Ivan
Bortolini, Claudio
Fuller, Stephen J
Bogialli, Sara
Tapparo, Andrea
Publication Date
2018-04-01Journal Title
Atmospheric Environment
ISSN
1352-2310
Publisher
Elsevier
Volume
178
Pages
129-139
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Zielinski, A., Kourtchev, I., Bortolini, C., Fuller, S. J., Giorio, C., Popoola, O., Bogialli, S., et al. (2018). A new processing scheme for ultra-high resolution direct infusion mass spectrometry data. Atmospheric Environment, 178 129-139. https://doi.org/10.1016/j.atmosenv.2018.01.034
Abstract
High resolution, high accuracy mass spectrometry is widely used to characterise environmental or biological samples with highly complex composition enabling the identification of chemical composition of often unknown compounds. Despite instrumental advancements, the accurate molecular assignment of compounds acquired in high resolution mass spectra remains time consuming and requires automated algorithms, especially for samples covering a wide mass range and large numbers of compounds. A new processing scheme is introduced implementing filtering methods based on element assignment, instrumental error, and blank subtraction. Optional post-processing incorporates common ion selection across replicate measurements and shoulder ion removal. The scheme allows both positive and negative direct infusion electrospray ionisation (ESI) and atmospheric pressure photoionisation (APPI) acquisition with the same programs. An example application to atmospheric organic aerosol samples using an Orbitrap mass spectrometer is reported for both ionisation techniques resulting in final spectra with 0.8% and 8.4% of the peaks retained from the raw spectra for APPI positive and ESI negative acquisition, respectively.
Keywords
UHRMS, ESI, APPI, Environmental samples, direct infusion, Orbitrap
Relationships
Is supplemented by: https://doi.org/10.17863/CAM.9495
Sponsorship
This work was supported by the European Research Council (ERC starting grant 279405) and by the U.K. Natural Environment Research Council (NERC grant NE/H52449X/1). ATZ thanks the Natural Sciences and Engineering Research Council of Canada, the Sir Winston Churchill Society of Edmonton, and the Cambridge Trust for PhD funding. IK was supported by a M. Curie Intra-European fellowship (project no. 254319)
Funder references
European Research Council (279405)
European Commission (254319)
Identifiers
External DOI: https://doi.org/10.1016/j.atmosenv.2018.01.034
This record's URL: https://www.repository.cam.ac.uk/handle/1810/271033
Rights
Licence:
http://www.rioxx.net/licenses/all-rights-reserved
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.