Evidence map›Paper›PMID 33051553›Full record

ArticleScientific reports2020

Pre-validation of a MALDI MS proteomics-based method for the reliable detection of blood and blood provenance.

Katie Kennedy, Cameron Heaton, Glenn Langenburg, Laura Cole, Tom Clark, Malcolm R Clench, Vaughn Sears, Mark Sealey, Richard McColm, Simona Francese

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. MALDI-MSI: A potential game changer in forensic sciences.Forensic science, medicine, and pathology · 2025
    Review
  2. Article
  3. Article
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

10 authors.

Katie KennedyCentre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.
Cameron HeatonCentre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.
Glenn LangenburgElite Forensic Services, LLC, Saint Paul, MN, USA.
Laura ColeCentre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.
Tom ClarkSheffield Hallam University, Sheffield, UK.
Malcolm R ClenchCentre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.
Vaughn SearsFormer Centre for Applied Science and Technology (CAST), Home Office, St Albans, UK.
Mark SealeyDefence Science and Technology Laboratories (DSTL), Porton Down, Salisbury, UK.
Richard McColmDefence Science and Technology Laboratories (DSTL), Porton Down, Salisbury, UK.
Simona FranceseCentre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK. s.francese@shu.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reliable identification of blood, as well as the determination of its origin (human or animal) is of great importance in a forensic investigation. Whilst presumptive tests are rapid and deployed in situ, their very nature requires confirmatory tests to be performed remotely. However, only serological tests can determine blood provenance. The present study improves on a previously devised Matrix Assisted Laser Desorption Ionisation Mass Spectrometry (MALDI MS)-proteomics based method for the reliable detection of blood by enabling the determination of blood provenance. The overall protocol was developed to be more specific than presumptive tests and faster/easier than the gold standard liquid chromatography (LC) MS/MS analysis. This is considered a pre-validation study that has investigated stains and fingermarks made in blood, other biofluids and substances that can elicit a false-positive response to colorimetric or presumptive tests, in a blind fashion. Stains and marks were either untreated or enhanced with a range of presumptive tests. Human and animal blood were correctly discriminated from other biofluids and non-biofluid related matrices; animal species determination was also possible within the system investigated. The procedure is compatible with the prior application of presumptive tests. The refined strategy resulting from iterative improvements through a trial and error study of 56 samples was applied to a final set of 13 blind samples. This final study yielded 12/13 correct identifications with the 13th sample being correctly identified as animal blood but with no species attribution. This body of work will contribute towards the validation of MALDI MS based methods and deployment in violent crimes involving bloodshed.

Indexed as

Blood StainsAnimalsBlood Chemical AnalysisBody FluidsChromatography, LiquidCrimeFalse Positive ReactionsForensic MedicineHumansMaleProteomicsSemenSpecies SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStaining and LabelingTandem Mass Spectrometry

Identifiers

PMID33051553
PMCPMC7555906

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