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Detection and Quantification of Psychoactive N,N-Dimethyltryptamine in Ayahuasca Brews by Ambient Ionization High-Resolution Mass Spectrometry.
Chambers, Megan I; Appley, Meghan G; Longo, Cameron M; Musah, Rabi A.
Afiliação
  • Chambers MI; Department of Chemistry, University at Albany-State University of New York (SUNY), 1400 Washington Avenue, Albany, New York 12222, United States.
  • Appley MG; Department of Chemistry, University at Albany-State University of New York (SUNY), 1400 Washington Avenue, Albany, New York 12222, United States.
  • Longo CM; Department of Chemistry, University at Albany-State University of New York (SUNY), 1400 Washington Avenue, Albany, New York 12222, United States.
  • Musah RA; Department of Chemistry, University at Albany-State University of New York (SUNY), 1400 Washington Avenue, Albany, New York 12222, United States.
ACS Omega ; 5(44): 28547-28554, 2020 Nov 10.
Article em En | MEDLINE | ID: mdl-33195905
ABSTRACT
The United Nations Office on Drugs and Crime designated twenty psychoactive botanical species as "plants of concern" because of their increased recreational abuse. Four of these are used to prepare ayahuasca brews. The complexity of the plant matrices, as well as the beverage itself, make the identification and quantification of the Schedule I component, N,N-dimethyltryptamine (DMT), a time-consuming and resource-intensive endeavor when performed using conventional approaches previously reported. Reported here is the development of a rapid validated method for the quantification of DMT in ayahuasca by direct analysis in real time-high-resolution mass spectrometry (DART-HRMS). This ambient ionization approach also enables identification of ayahuasca through detection of the secondary metabolites associated with its plant constituents. Analysis of six ayahuasca brews created using different combinations of DMT/harmala alkaloid-containing plants resulted in beverages with DMT levels of 45.7-230.5 mg/L. The detected amounts were consistent with previously reported values determined by conventional approaches.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article