Print Email Facebook Twitter 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 Title 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 Author Bailey, Melanie J. (University of Surrey) Randall, Elizabeth C. (National Physical Laboratory; University of Birmingham) Costa, Catia (University of Surrey) Salter, Tara L. (National Physical Laboratory) Race, Alan M. (National Physical Laboratory) de Puit, M. (TU Delft OLD ChemE/Organic Materials and Interfaces; Netherlands Forensic Institute - NFI) Koeberg, Mattijs (Netherlands Forensic Institute - NFI) Baumert, Mark (Harlow Enterprise Hub) Bunch, Josephine (National Physical Laboratory; University of Nottingham) Date 2016-04-28 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. To reference this document use: http://resolver.tudelft.nl/uuid:e7e67f53-c973-448b-bfe4-761edf838eb1 DOI https://doi.org/10.1039/c6ay00782a Embargo date 2017-03-24 ISSN 1759-9660 Source Analytical Methods, 8 (16), 3373-3382 Part of collection Institutional Repository Document type journal article Rights © 2016 Melanie J. Bailey, Elizabeth C. Randall, Catia Costa, Tara L. Salter, Alan M. Race, M. de Puit, Mattijs Koeberg, Mark Baumert, Josephine Bunch Files PDF LESA_paper_final_accepted ... script.pdf 782.59 KB Close viewer /islandora/object/uuid:e7e67f53-c973-448b-bfe4-761edf838eb1/datastream/OBJ/view