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Cited by 3,324

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Mass Spectrometry Sampling Under Ambient Conditions with Desorption Electrospray Ionization

Takáts, Zoltán, Wiseman, Justin M., Gologan, Bogdan, Cooks, R. Graham·2004·Science

Abstract

A new method of desorption ionization is described and applied to the ionization of various compounds, including peptides and proteins present on metal, polymer, and mineral surfaces. Desorption electrospray ionization (DESI) is carried out by directing electrosprayed charged droplets and ions of solvent onto the surface to be analyzed. The impact of the charged particles on the surface produces gaseous ions of material originally present on the surface. The resulting mass spectra are similar to normal ESI mass spectra in that they show mainly singly or multiply charged molecular ions of the analytes. The DESI phenomenon was observed both in the case of conductive and insulator surfaces and for compounds ranging from nonpolar small molecules such as lycopene, the alkaloid coniceine, and small drugs, through polar compounds such as peptides and proteins. Changes in the solution that is sprayed can be used to selectively ionize particular compounds, including those in biological matrices. In vivo analysis is demonstrated.

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Metadata

Authors
Takáts, Z., Wiseman, J. M., Gologan, B., & Cooks, R. G.
Venue
Science
Published
2004-10-15
Volume
306
Issue
5695
Pages
471-473
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2010004076
Cited by
3,324
References
1
FWCI
25.07
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mass Spectrometry Sampling Under Ambient Conditions with Desorption Electrospray Ionization. https://app.cochat.ai/papers/10.1126/science.1104404
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Takáts, Z., Wiseman, J. M., Gologan, B., & Cooks, R. G. (2004). Mass Spectrometry Sampling Under Ambient Conditions with Desorption Electrospray Ionization. Science. https://doi.org/10.1126/science.1104404

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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.