Improving the technological readiness of time of Flight-Secondary Ion Mass Spectrometry for enhancing fingermark recovery-towards operational deployment

被引:5
作者
Charlton, Deborah [1 ,2 ]
Costa, Catia [3 ]
Trindade, Gustavo F. [4 ]
Hinder, Steve [5 ]
Watts, John F. [5 ]
Bailey, Melanie J. [1 ]
机构
[1] Univ Surrey, Dept Chem, Guildford GU2 7XH, England
[2] Thames Valley Police, Fingerprint Dev Lab, Kidlington OX5 2NX, Oxon, England
[3] Univ Surrey, Surrey Ion Beam Ctr, Guildford GU2 7XH, England
[4] Natl Phys Lab, London TW11 0LW, England
[5] Univ Surrey, Sch Mech Engn Sci, Guildford GU2 7XH, Surrey, England
基金
英国工程与自然科学研究理事会;
关键词
LASER-DESORPTION IONIZATION; TOF-SIMS; FINGERPRINTS;
D O I
10.1016/j.scijus.2022.10.004
中图分类号
DF [法律]; D9 [法律]; R [医药、卫生];
学科分类号
0301 ; 10 ;
摘要
The processes routinely used by police forces to visualise fingermarks in casework may not provide sufficient ridge pattern quality to aid an investigation. Time of Flight-Secondary Ion Mass Spectrometry (ToF-SIMS) has been proposed as a technique to enhance fingermark recovery. The technique is currently designated a Category C process in the Fingermark Visualisation Manual (FVM) as it shows potential for effective fingermark visualisation but has not yet been fully evaluated. Here the sensitivity of ToF-SIMS on three common exhibit-type surfaces -paper, polyethylene and stainless-steel was compared to standard processes. An adapted Home Office grading scale was used to evaluate the efficacy of fingerprint development by ToF-SIMS and to provide a framework for comparison with standard processes. ToF-SIMS was shown to visualise more fingerprints than the respective standard process, for all surfaces tested. In addition, ToF-SIMS was applied after the standard processes and successfully enhanced the fingerprint detail, even when the standard process failed to visualise ridge detail. This demonstrates the benefit for incorporating it into current operational fingermark development workflows. Multivariate analysis (MVA), using simsMVA, was additionally explored as a method to simplify the data analysis and image generation process.
引用
收藏
页码:9 / 18
页数:10
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