Variable Data Independent Acquisition and Data Mining Exploring Feature-Based Molecular Networking Analysis for Untargeted Screening of Synthetic Cannabinoids in Oral Fluid-Reference-Cited by-同舟云学术

Variable Data Independent Acquisition and Data Mining Exploring Feature-Based Molecular Networking Analysis for Untargeted Screening of Synthetic Cannabinoids in Oral Fluid

Published:2021-08-16 Issue:9 Volume:32 Page:2417-2424
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

de Albuquerque Cavalcanti Gustavo¹^ORCID,Moreira Borges Ricardo²,Reis Alves Carneiro Gabriel¹,Costa Padilha Monica¹,Gualberto Pereira Henrique Marcelo¹

Affiliation:

1. Brazilian Doping Control Laboratory (LBCD), Chemistry Institute, Federal University of Rio de Janeiro (UFRJ), 21941-598 Rio de Janeiro, RJ, Brazil

2. Walter Mors Institute of Research on Natural Products (IPPN), Federal University of Rio de Janeiro (UFRJ), 21941-902 Rio de Janeiro, RJ, Brazil

Publisher

American Chemical Society (ACS)

Subject

Spectroscopy,Structural Biology

Link

https://pubs.acs.org/doi/pdf/10.1021/jasms.1c00124

Reference27 articles.

1. United Nations Office on Drugs and Crime (UNODC). https://www.unodc.org/LSS/Home/NPS (accessed 2021-03-25).

2. European Monitoring Center for Drugs and Drug Addiction (EMCDDA). European Drug Report 2017. Available at: https://www.emcdda.europa.eu/system/files/publications/4541/TDAT17001ENN.pdf_en (2021-03-25).

3. New Synthetic Cannabinoids Metabolism and Strategies to Best Identify Optimal Marker Metabolites

4. Analysis of Fragmentation Pathways of New-Type Synthetic Cannabinoids Using Electrospray Ionization

5. The next generation of synthetic cannabinoids: Detection, activity, and potential toxicity of pent‐4en and but‐3en analogues including MDMB‐4en‐PINACA

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