Metal-Organic Frameworks for fingermark detection — A feasibility study

Journal article

Moret, S., Esther Scott, Adrian Barone, Kang Liang, Chris Lennard, Claude Roux and Xanthe Spindler 2018. Metal-Organic Frameworks for fingermark detection — A feasibility study. Forensic Science International. Vol 291 (October 2018), pp. 83 - 93. https://doi.org/10.1016/j.forsciint.2018.08.005
AuthorsMoret, S., Esther Scott, Adrian Barone, Kang Liang, Chris Lennard, Claude Roux and Xanthe Spindler
Abstract

Metal-Organic Frameworks (MOFs) are porous crystalline structures, currently used as sensors, separation membranes, and as catalysts. Due to their physicochemical and optical properties, they have been recently proposed for fingermark detection. This study further explored their potential for fingermark detection. Natural fingermarks, as well as charged and protein-enriched marks, were used to test the efficiency of the technique. Various parameters, such as precursor concentration, pH, immersion time and detection protocols, were investigated and optimised. The performance of the optimised MOF-based method was then compared to that of routinely used techniques.

The results obtained indicated that MOFs can effectively detect fingermarks, especially protein-rich marks such as marks contaminated with body fluids. However, after comparison and evaluation against benchmark techniques, results were judged to be inferior to those from currently employed detection methods. However, with further research and optimisation MOFs may be promising as an alternative to current powder suspension techniques.

KeywordsFingerprints; MOFs; Small particle reagent
Year2018
JournalForensic Science International
Journal citationVol 291 (October 2018), pp. 83 - 93
PublisherElseiver
ISSN03790738
Digital Object Identifier (DOI)https://doi.org/10.1016/j.forsciint.2018.08.005
Web address (URL)https://doi.org/10.1016/j.forsciint.2018.08.005
https://www.scopus.com/record/display.uri?eid=2-s2.0-85052480891&origin=resultslist&sort=plf-f&src=s&sid=635bd20b02269ebb5f3a5c770efd4f9b&sot=b&sdt=b&s=TITLE-ABS-KEY%28Metal-Organic+Frameworks+for+fingermark+detection+%E2%80%94+A+feasibility+study%29&sl=86&sessionSearchId=635bd20b02269ebb5f3a5c770efd4f9b
Publication dates
Online11 Aug 2019
Online29 Aug 2019
Oct 2018
Publication process dates
Accepted03 Aug 2019
Deposited24 May 2023
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