Rapid and robust on‐scene detection of cocaine in street samples using a handheld near‐infrared spectrometer and machine learning algorithms-Reference-Cited by-同舟云学术

Rapid and robust on‐scene detection of cocaine in street samples using a handheld near‐infrared spectrometer and machine learning algorithms

Published:2020-07-27 Issue:10 Volume:12 Page:1404-1418
ISSN:1942-7603
Container-title:Drug Testing and Analysis
language:en
Short-container-title:Drug Test Anal

Author:

Kranenburg Ruben F.¹²^ORCID,Verduin Joshka¹²^ORCID,Weesepoel Yannick³^ORCID,Alewijn Martin³,Heerschop Marcel⁴,Koomen Ger⁴,Keizers Peter⁵^ORCID,Bakker Frank⁵,Wallace Fionn⁶,Esch Annette⁶,Hulsbergen Annemieke⁶,Asten Arian C.²⁷^ORCID

Affiliation:

1. Dutch National Police, Unit Amsterdam, Forensic Laboratory Amsterdam the Netherlands

2. Van't Hoff Institute for Molecular Sciences University of Amsterdam Amsterdam the Netherlands

3. Wageningen Food Safety Research part of Wageningen University and Research Wageningen the Netherlands

4. Dutch Customs Laboratory Amsterdam the Netherlands

5. National Institute of Public Health and the Environment (RIVM) Bilthoven the Netherlands

6. Netherlands Forensic Institute (NFI) Den Haag the Netherlands

7. Co van Ledden Hulsebosch Center (CLHC), Amsterdam Center for Forensic Science and Medicine Amsterdam the Netherlands

Publisher

Wiley

Subject

Spectroscopy,Pharmaceutical Science,Environmental Chemistry,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dta.2895

Reference42 articles.

1. The United Nations Office on Drugs and Crime (UNODC) World Drug Report 2019 (United Nations publication Sales No. E.19.XI.8)

2. National Drug Monitor jaarbericht.2019(Trimbos‐Instituut AF1643)

3. The Drug Information and Monitoring System (DIMS) in the Netherlands: Implementation, results, and international comparison

4. Drug testing in Europe: monitoring results of the Trans European Drug Information (TEDI) project

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