Providing illicit drugs results in five seconds using ultra-portable NIR technology: An opportunity for forensic laboratories to cope with the trend toward the decentralization of forensic capabilities

Coppey, Florentin; Bécue, Andy; Sacre, Pierre-Yves; Ziemons, Eric; Hubert, Philippe; Esseiva, Pierre

doi:10.1016/j.forsciint.2020.110498

Article (Scientific journals)

Providing illicit drugs results in five seconds using ultra-portable NIR technology: An opportunity for forensic laboratories to cope with the trend toward the decentralization of forensic capabilities

Coppey, Florentin; Bécue, Andy; Sacre, Pierre-Yves et al.

2020 • In Forensic Science International, 317, p. 110498

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/251298

DOI
10.1016/j.forsciint.2020.110498

PubMed
33017781

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Keywords :

Forensic science; Cocaine; Heroin; Cannabis; Big data; Machine learning; Near infrared; Statistical model; Validation

Abstract :

[en] The analysis of illicit drugs faces many challenges, mainly regarding the production of timely and reliable results and the production of added value from the generated data. It is essential to rethink the way this analysis is operationalised, in order to cope with the trend toward the decentralization of forensic applications. This paper describes the deployment of an ultra–portable near-infrared detector connected to a mobile application. This allows analysis and display of results to end users within 5s. The development of prediction models and their validation, as well as strategies for deployment within law enforcement organizations and forensic laboratories are discussed.

Research Center/Unit :

CIRM - Centre Interdisciplinaire de Recherche sur le Médicament - ULiège

Disciplines :

Pharmacy, pharmacology & toxicology

Author, co-author :

Coppey, Florentin; Université de Lausanne > Ecole des Sciences Criminelles

Bécue, Andy; Université de Lausanne > Ecole des Sciences Criminelles

Sacre, Pierre-Yves ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique

Ziemons, Eric ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique

Hubert, Philippe ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique

Esseiva, Pierre; Université de Lausanne > Ecole des Sciences Criminelles

Language :

English

Title :

Publication date :

10 September 2020

Journal title :

Forensic Science International

ISSN :

0379-0738

eISSN :

1872-6283

Publisher :

Elsevier, Netherlands

Volume :

317

Pages :

110498

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 05 October 2020

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