Literature DB >> 24053872

Towards the integration of matrix assisted laser desorption ionisation mass spectrometry imaging into the current fingermark examination workflow.

Robert Bradshaw1, Stephen Bleay, Rosalind Wolstenholme, Malcolm Ronald Clench, Simona Francese.   

Abstract

A wide range of fingermark enhancement techniques (FET) is currently employed to visualise latent fingermarks at crime scenes. However, if smudged, partial, distorted or absent in the National Fingerprint Database, crime scene marks may be not useful for identification purposes. In these circumstances, a technology enabling chemical imaging of both endogenous and exogenous species contained within the fingermark could provide additional and associative investigative information, to profile the suspect's activities prior to the crime. Matrix Assisted Laser Desorption Ionisation Mass Spectrometry Imaging (MALDI MSI) has proven to be such a technique, enabling investigative information to be gathered, for example, on what substances the donor has come in contact with and what they have ingested. Nonetheless, to be employed, MALDI MSI has to be validated and its compatibility with FET tested for integration into the standard fingermark examination workflow. For the first time, a direct comparison has been made between the efficiency of a range of FET and MALDI MSI under different conditions. This information will build towards validation of the technology. Also, for the first time, MALDI MSI has been successfully employed as a sequential step following fingermark enhancement using many of the currently employed FET. Additionally, known enhancers have been "re-visited" by combining them with a MALDI matrix, providing both improved fingermark development and chemical species detection via MALDI MSI. The result reported here are good indication in favour of the integration of MALDI MSI into the current fingermark examination workflow for gathering additional investigative information.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Development enhancers; Fingermarks; Forensic workflow; Integration; Intelligence; MALDI MSI

Mesh:

Substances:

Year:  2013        PMID: 24053872     DOI: 10.1016/j.forsciint.2013.07.013

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  6 in total

1.  Development of laser desorption imaging mass spectrometry methods to investigate the molecular composition of latent fingermarks.

Authors:  Nidia Lauzon; Martin Dufresne; Vinita Chauhan; Pierre Chaurand
Journal:  J Am Soc Mass Spectrom       Date:  2015-04-07       Impact factor: 3.109

2.  A mass spectrometry-based forensic toolbox for imaging and detecting biological fluid evidence in finger marks and fingernail scrapings.

Authors:  Sathisha Kamanna; Julianne Henry; Nicolas H Voelcker; Adrian Linacre; K Paul Kirkbride
Journal:  Int J Legal Med       Date:  2017-04-27       Impact factor: 2.686

3.  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.

Authors:  Melanie Bailey; Elizabeth C Randall; Catia Costa; Tara L Salter; Alan M Race; Marcel de Puit; Mattijs Koeberg; Mark Baumert; Josephine Bunch
Journal:  Anal Methods       Date:  2016-03-24       Impact factor: 2.896

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

Authors:  G Groeneveld; M de Puit; S Bleay; R Bradshaw; S Francese
Journal:  Sci Rep       Date:  2015-06-29       Impact factor: 4.379

5.  Image fusion of mass spectrometry and microscopy: a multimodality paradigm for molecular tissue mapping.

Authors:  Raf Van de Plas; Junhai Yang; Jeffrey Spraggins; Richard M Caprioli
Journal:  Nat Methods       Date:  2015-02-23       Impact factor: 28.547

6.  The analysis of latent fingermarks on polymer banknotes using MALDI-MS.

Authors:  K Scotcher; R Bradshaw
Journal:  Sci Rep       Date:  2018-06-08       Impact factor: 4.379

  6 in total

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