Feature-Based Molecular Network for New Psychoactive Substance Identification: The Case of Synthetic Cannabinoids in a Seized e-Liquid and Biological Samples-Reference-Cited by-同舟云学术

Feature-Based Molecular Network for New Psychoactive Substance Identification: The Case of Synthetic Cannabinoids in a Seized e-Liquid and Biological Samples

Published:2024-08-26 Issue: Volume: Page:
ISSN:1044-0305
Container-title:Journal of the American Society for Mass Spectrometry
language:en
Short-container-title:J. Am. Soc. Mass Spectrom.

Author:

Magny Romain¹²^ORCID,Lefrère Bertrand¹,Roulland Emmanuel³,Auzeil Nicolas³,Farah Soha¹²,Richeval Camille⁴⁵,Gish Alexandr⁴⁵,Vodovar Dominique²⁶,Labat Laurence¹²,Houzé Pascal¹²

Affiliation:

1. Laboratoire de Toxicologie, Fédération de Toxicologie, AH-HP, Hôpital Lariboisière, 75010 Paris, France

2. INSERM UMRS-1144, Université Paris Cité, 75006 Paris, France

3. CNRS, CiTCoM, Université Paris Cité, 75006 Paris, France

4. CHRU Lille, Unité Fonctionnelle de Toxicologie, 59000 Lille, France

5. ULR 4483-IMPECS-IMPact de l’Environnement Chimique sur la Santé humaine, Université de Lille, 59000 Lille, France

6. Centre antipoison de Paris, Hôpital Fernand Widal, AP-HP, 75010 Paris, France

Funder

Assistance Publique - H?pitaux de Paris

Conseil R?gional, ?le-de-France

Universit? Paris Cit?

Ville de Paris