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Cited by 299

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Established and emerging atmospheric pressure surface sampling/ionization techniques for mass spectrometry

Van Berkel, Gary J., Pasilis, Sofie P., Ovchinnikova, Olga·2008·Journal of Mass Spectrometry

Abstract

The number and type of atmospheric pressure techniques suitable for sampling analytes from surfaces, forming ions from these analytes, and subsequently transporting these ions into vacuum for interrogation by MS have rapidly expanded over the last several years. Moreover, the literature in this area is complicated by an explosion in acronyms for these techniques, many of which provide no information relating to the chemical or physical processes involved. In this tutorial article, we sort this vast array of techniques into relatively few categories on the basis of the approaches used for surface sampling and ionization. For each technique, we explain, as best known, many of the underlying principles of operation, describe representative applications, and in some cases, discuss needed research or advancements and attempt to forecast their future analytical utility. Copyright © 2008 John Wiley & Sons, Ltd.

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Metadata

Authors
Van Berkel, G. J., Pasilis, S. P., & Ovchinnikova, O.
Venue
Journal of Mass Spectrometry
Publisher
Wiley
Published
2008-07-31
Volume
43
Issue
9
Pages
1161-1180
ISSN
  • 1076-5174 (ISSN-L)
  • 1096-9888
OpenAlex
W2121857684
Cited by
299
References
47
FWCI
18.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Established and emerging atmospheric pressure surface sampling/ionization techniques for mass spectrometry. https://app.cochat.ai/papers/10.1002/jms.1440
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Van Berkel, G. J., Pasilis, S. P., & Ovchinnikova, O. (2008). Established and emerging atmospheric pressure surface sampling/ionization techniques for mass spectrometry. Journal of Mass Spectrometry. https://doi.org/10.1002/jms.1440

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.