DEININGER, Lisa, PATEL, Ekta, CLENCH, Malcolm R., SEARS, Vaughn, SAMMON, Chris and FRANCESE, Simona (2016). Proteomics goes forensic: detection and mapping of blood signatures in fingermarks. Proteomics, 16 (11-12), 1707-1717.
PDF (Acceptance e-mail)
Francese - 12685.pdf
Restricted to Repository staff only
Deininger et al - protemics go forensic - 14042016.pdf - Accepted Version
Restricted to Repository staff only until 29 April 2017.
Available under License All rights reserved.
A bottom up in situ proteomic method has been developed enabling the mapping of multiple blood signatures on the intact ridges of blood fingermarks byMatrix Assisted Laser Desorption Mass Spectrometry Imaging (MALDI-MSI). This method, at a proof of concept stage, builds upon recently published work demonstrating the opportunity to profile and identify multiple blood signatures in bloodstains via a bottom up proteomic approach. The present protocol addresses the limitation of the previously developed profiling method with respect to destructivity; destructivity should be avoided for evidence such as blood fingermarks, where the ridge detail must be preserved in order to provide the associative link between the biometric information and the events of bloodshed. Using a blood mark reference model, trypsin concentration and spraying conditions have been optimised within the technical constraints of the depositor eventually employed; the application of MALDI-MSI and Ion Mobility MS have enabled the detection, confirmation and visualisation of blood signatures directly onto the ridge pattern. These results are to be considered a first insight into a method eventually informing investigations (and judicial debates) of violent crimes in which the reliable and non-destructive detection and mapping of blood in fingermarks is paramount to reconstruct the events of bloodshed.
|Research Institute, Centre or Group:||Biomolecular Sciences Research Centre|
|Depositing User:||Marguerite Lyons|
|Date Deposited:||27 Jul 2016 13:20|
|Last Modified:||29 Mar 2017 19:17|
Actions (login required)
Downloads per month over past year