Analysis of urine, oral fluid and fingerprints by liquid extraction surface analysis coupled to high resolution MS and MS/MS - Opportunities for forensic and biomedical science

Journal Article (2016)
Author(s)

Melanie J. Bailey (University of Surrey)

Elizabeth C. Randall (University of Birmingham, National Physical Laboratory)

Catia Costa (University of Surrey)

Tara L. Salter (National Physical Laboratory)

Alan M. Race (National Physical Laboratory)

Marcel De Puit (Nederlands Forensisch Instituut (NFI), TU Delft - OLD ChemE/Organic Materials and Interfaces)

Mattijs Koeberg (Nederlands Forensisch Instituut (NFI))

Mark Baumert (Harlow Enterprise Hub)

Josephine Bunch (National Physical Laboratory, University of Nottingham)

Research Group
OLD ChemE/Organic Materials and Interfaces
DOI related publication
https://doi.org/10.1039/c6ay00782a Final published version
More Info
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Publication Year
2016
Language
English
Research Group
OLD ChemE/Organic Materials and Interfaces
Journal title
Analytical Methods
Issue number
16
Volume number
8
Pages (from-to)
3373-3382
Downloads counter
347
Collections
Institutional Repository
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Abstract

Liquid Extraction Surface Analysis (LESA) is a new, high throughput tool for ambient mass spectrometry. A solvent droplet is deposited from a pipette tip onto a surface and maintains contact with both the surface and the pipette tip for a few seconds before being re-aspirated. The technique is particularly suited to the analysis of trace materials on surfaces due to its high sensitivity and low volume of sample removal. In this work, we assess the suitability of LESA for obtaining detailed chemical profiles of fingerprints, oral fluid and urine, which may be used in future for rapid medical diagnostics or metabolomics studies. We further show how LESA can be used to detect illicit drugs and their metabolites in urine, oral fluid and fingerprints. This makes LESA a potentially useful tool in the growing field of fingerprint chemical analysis, which is relevant not only to forensics but also to medical diagnostics. Finally, we show how LESA can be used to detect the explosive material RDX in contaminated artificial fingermarks.

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