Literature DB >> 21511418

Imaging electrostatic fingerprints with implications for a forensic timeline.

Philip Watson1, Robert J Prance, Sam T Beardsmore-Rust, Helen Prance.   

Abstract

The electrical charge deposited by contact electrification due to a finger touching a thin insulating surface is imaged using an electric field microscopy system. It is based on an ultrahigh impedance electric potential sensor used as a non-contact raster scanning probe to measure surface charge density with a spatial resolution of up to 5 μm. Preliminary results are presented which yield two principle findings. First, they indicate that the spatial resolution of the fingerprint image is sufficient for identification purposes. Secondly, that the decay of the surface charge may be considered as a candidate method for the dating or sequencing of these electrical charge fingerprints. The decay of surface charge with time is well defined, largely material dependent, and may take many days. This intrinsic decay rate for the material may be quantified using the charge imaging system described in this paper and a known test charge. The measurement technique described is non-destructive, may be repeated without degradation of the sample, and does not preclude the subsequent use of other techniques such as DNA analysis or conventional latent fingerprint development.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21511418     DOI: 10.1016/j.forsciint.2011.02.024

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


  3 in total

1.  Electrostatic microprobe for determining charge domains on surfaces.

Authors:  Robert A Fletcher
Journal:  Rev Sci Instrum       Date:  2015-11       Impact factor: 1.523

2.  The Impact of Particulate Matters and Nanoparticles on Thermoplastic Polymer Coatings and Paint Layers.

Authors:  Pierre-Antoine Héritier
Journal:  Polymers (Basel)       Date:  2022-06-17       Impact factor: 4.967

3.  A Novel Fingerprint Sensing Technology Based on Electrostatic Imaging.

Authors:  Kai Tang; Aijia Liu; Wei Wang; Pengfei Li; Xi Chen
Journal:  Sensors (Basel)       Date:  2018-09-12       Impact factor: 3.576

  3 in total

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