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


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
13 10 2020
Historique:
received: 15 04 2020
accepted: 28 09 2020
entrez: 14 10 2020
pubmed: 15 10 2020
medline: 27 1 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33051553
doi: 10.1038/s41598-020-74253-z
pii: 10.1038/s41598-020-74253-z
pmc: PMC7555906
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

17087

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Auteurs

Katie Kennedy (K)

Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.

Cameron Heaton (C)

Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.

Glenn Langenburg (G)

Elite Forensic Services, LLC, Saint Paul, MN, USA.

Laura Cole (L)

Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.

Tom Clark (T)

Sheffield Hallam University, Sheffield, UK.

Malcolm R Clench (MR)

Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.

Vaughn Sears (V)

Former Centre for Applied Science and Technology (CAST), Home Office, St Albans, UK.

Mark Sealey (M)

Defence Science and Technology Laboratories (DSTL), Porton Down, Salisbury, UK.

Richard McColm (R)

Defence Science and Technology Laboratories (DSTL), Porton Down, Salisbury, UK.

Simona Francese (S)

Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK. s.francese@shu.ac.uk.

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Classifications MeSH