Evidence map›Paper›PMID 26118853›Full record

ArticleScientific reports2015

Detection and mapping of illicit drugs and their metabolites in fingermarks by MALDI MS and compatibility with forensic techniques.

G Groeneveld, M de Puit, S Bleay, R Bradshaw, S Francese

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  16. Infrared Laser Ablation with Vacuum Capture for Fingermark Sampling.Journal of the American Society for Mass Spectrometry · 2017
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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

5 authors.

G Groeneveld1] Department of Fingerprint Research, Netherlands Forensic Institute, The Hague, Netherlands [2] Biomedical Research Centre, Sheffield Hallam University, Sheffield, UK.
M de Puit1] Department of Fingerprint Research, Netherlands Forensic Institute, The Hague, Netherlands [2] Technische Natuur Wetenschappen, Delft University of Technology, Delft, The Netherlands.
S BleayCentre for Applied Science and Technology, Home Office, Sandridge, UK.
R BradshawBiomedical Research Centre, Sheffield Hallam University, Sheffield, UK.
S FranceseBiomedical Research Centre, Sheffield Hallam University, Sheffield, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the proven capabilities of Matrix Assisted Laser Desorption Ionisation Mass Spectrometry (MALDI MS) in laboratory settings, research is still needed to integrate this technique into current forensic fingerprinting practice. Optimised protocols enabling the compatible application of MALDI to developed fingermarks will allow additional intelligence to be gathered around a suspect's lifestyle and activities prior to the deposition of their fingermarks while committing a crime. The detection and mapping of illicit drugs and metabolites in latent fingermarks would provide intelligence that is beneficial for both police investigations and court cases. This study investigated MALDI MS detection and mapping capabilities for a large range of drugs of abuse and their metabolites in fingermarks; the detection and mapping of a mixture of these drugs in marks, with and without prior development with cyanoacrylate fuming or Vacuum Metal Deposition, was also examined. Our findings indicate the versatility of MALDI technology and its ability to retrieve chemical intelligence either by detecting the compounds investigated or by using their ion signals to reconstruct 2D maps of fingermark ridge details.

Indexed as

DermatoglyphicsMetabolomeForensic SciencesHumansIllicit DrugsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationIllicit Drugs

Identifiers

PMID26118853
PMCPMC4484357

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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.