Evidence map›Paper›PMID 27990179›Full record

ArticleAnalytical methods : advancing methods and applications2016

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.

Melanie Bailey, Elizabeth C Randall, Catia Costa, Tara L Salter, Alan M Race, Marcel de Puit, Mattijs Koeberg, Mark Baumert, Josephine Bunch

Abstract read
In one paragraph

Article in Analytical methods : advancing methods and applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Melanie BaileyDepartment of Chemistry, University of Surrey, Guildford, GU2 7XH, UK.
Elizabeth C RandallNational Physical Laboratory, Teddington, TW11 0LW, UK; School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
Catia CostaDepartment of Chemistry, University of Surrey, Guildford, GU2 7XH, UK.
Tara L SalterNational Physical Laboratory, Teddington, TW11 0LW, UK.
Alan M RaceNational Physical Laboratory, Teddington, TW11 0LW, UK.
Marcel de PuitNetherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB, The Hague, The Netherlands; Delft University of Technology, Julianalaan 136, 2628 BL, Delft, The Netherlands.
Mattijs KoebergNetherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB, The Hague, The Netherlands.
Mark BaumertAdvion Limited Advion Limited, Harlow Enterprise Hub, Edinburgh Way Harlow, Essex CM20 2NQ, UK.
Josephine BunchNational Physical Laboratory, Teddington, TW11 0LW, UK; School of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK; School of Pharmacy, University of Nottingham, Nottingham NG7 2RD.

Funding

19th Annual Health Economics ConferenceR13HS017487 · AHRQ · UNIVERSITY OF CHICAGO · PI MELTZER, DAVID O · 2008 to 2008
$46k
AHRQ HHS R13 HS017487
6 · The paper itself

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.

Identifiers

PMID27990179
PMCPMC5156400

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.