Efficiency of the dry-wet method for the MALDI-MSI analysis of latent fingermarks

FERGUSON, Leesa S, CREASEY, Stuart, WOLSTENHOLME, Rosalind, CLENCH, Malcolm R and FRANCESE, Simona (2013). Efficiency of the dry-wet method for the MALDI-MSI analysis of latent fingermarks. Journal of Mass Spectrometry, 48 (6), 677-684.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1002/jms.3216
Link to published version:: 10.1002/jms.3216

Abstract

Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) has proven to be a powerful analytical tool to investigate problems in several fields of life science. A novel application is in the field of forensics, particularly in the analysis of latent fingermarks. This technology enables images of the fingermark ridge detail and additional intelligence to be simultaneously obtained. Although several methods are available to deposit the MALDI matrix, to make the technology forensically operational, another deposition approach was devised and reported, namely the ‘dry–wet’ method. In the present study, the efficiency of the dry–wet method was evaluated and compared with the conventional spray coat methodology. Results indicate that the dry–wet method is superior for all the donors' typologies in terms of ion signal intensity and clarity of the ridge details. To underpin the reasons of this efficiency, scanning electron microscopy analyses were carried out in parallel to MALDI-MSI experiments using matrices of different particle size. Results have confirmed that the particle size plays an important role in the efficiency of the method as higher quality images and higher intensity spectra are produced as the matrix particle size decreases.

Item Type: Article
Research Institute, Centre or Group: Biomolecular Sciences Research Centre
Identification Number: 10.1002/jms.3216
Depositing User: Louise Vickers
Date Deposited: 05 Nov 2014 12:38
Last Modified: 05 Nov 2014 12:38
URI: http://shura.shu.ac.uk/id/eprint/8587

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics