Evaluation of DNA as a taggant for fuels

Glover, Amy; Aziz, Naveed; Pillmoor, John B.; McCallien, Duncan W.J.; Croud, Vincent B.

doi:10.1016/j.fuel.2011.02.008

Cited by 9 publications

(6 citation statements)

References 2 publications

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“…While DNA damages caused by these stresses may be repaired by a number of processes within living organisms, the same cannot be said of the synthetic oligonucleotides included within forensic taggants. Concerns have therefore been raised over the general stability of DNAbased tagging materials and the subsequent compromise of genetic coding sequences [2,13,43].…”

Section: Dna Taggantsmentioning

confidence: 99%

Taggant materials in forensic science: A review

Gooch

Daniel

Abbate

et al. 2016

TrAC Trends in Analytical Chemistry

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Highlights The use of forensic taggant technologies has become considerably more widespread  The application of taggant materials for forensic purposes are described  The different coding methods used in commercial marking materials to infer identity are explored  Recent developments in the field are discussed along with future perspectives AbstractThe use of taggant technology to mark objects for the purpose of identification is becoming a significant part of national crime reduction strategies. Taggants may be able to prevent or monitor criminal offences by associating an object with a specific piece of information. While the material properties of a taggant will largely vary between application purposes, a specific 'coding' element will generally be incorporated to infer marker uniqueness. With the speed, simplicity and accuracy of coding component analysis largely determining the overall efficacy of taggants, continuing advances in portable in-field analysis, nanotechnology and material science should have allowed for the development of new and improved forensic marking agents. However, the limited amount of recent research in this area suggests that this is not the case. This critical review therefore examines the current state of presently available taggants before attempting to offer insight into the future direction of forensic marking technology.

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Section: Dna Taggantsmentioning

confidence: 99%

Taggant materials in forensic science: A review

Gooch

Daniel

Abbate

et al. 2016

TrAC Trends in Analytical Chemistry

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“…In addition, the readout processes of current PUF systems (e.g., spectrum verification, 10,11 current profile measurement, 5,6 minutiae extraction 3 ) require specialized equipment setups, and the necessity of conducting one-by-one search-and-compare algorithms within huge databases further makes the overall authentication time consuming. 1,3,12,13 Another technical challenge of…”

Section: Introductionmentioning

confidence: 99%

Multigenerational Crumpling of 2D Materials for Anticounterfeiting Patterns with Deep Learning Authentication

Jing

Xie

et al. 2020

Matter

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Multigenerational 2D-material (2DM) microstructures are fabricated via sequential deformations in a transfer-free fashion and exhibit physical unclonable function patterns with algorithm-recognizable features. Deep learning (DL)-facilitated software is developed on the basis of the ''classification and validation'' mechanism to shorten the authentication time. With 2DM tags and DL software, a reliable and environmentally stable anticounterfeiting technology, DeepKey, is realized to show superior encoding capacity and fast authentication, which can be applied as an add-on covert layer for QR codes to provide two-layer information security.

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“…Today, the portfolio includes GC 3 and IR/Raman analysis 4 as well as, according to the compilation of the ASTM (American Society for Testing and Materials), standard methods for gasoline analysis based on evaporation, density, distillation and ash content determination. 5 Another common technique is to mark the original refined fuels with tracers, 6 usually coloured dyes, 7 which, however, is costintensive on a larger scale. All these methods also have limitations in terms of portability and in-field analysis.…”

Section: Introductionmentioning

confidence: 99%