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