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                            Library & Multimedia
 Rapid Detection and Quantification of Hallucinogenic Salvinorin A in Commercial Salvia divinorum Products DART-HRMS
NCJ Number
              306069
Journal

*Acs Omega* Volume: 8 Issue: 1 Dated: 2023 Pages: 761-770
Author(s)
          Megan I. Chambers;
                        Justine E. Giffen-Lemieux;
                        Rabi A. Musah*
Date Published

2023
Length
              10 pages
Annotation
              In this study, direct analysis in real time–high-resolution mass spectrometry (DART-HRMS) was used to rapidly screen for Salvia plant material.
Abstract
              In recent years, national laboratories have identified several plant-derived materials as concerns to public health because of their psychoactive effects, potential for abuse, and the lack of federal regulation of their use. One of these is Salvia divinorum (aka Salvia), which has received focused attention due to its increasing recreational use and the ease by which it can be acquired. Traditional chromatographic approaches for the detection of the major psychoactive component of Salvia (i.e., salvinorin A) typically require time-consuming sample pretreatment prior to identifying the presence of salvinorin A in plant material unknowns. The approach used in the current project facilitated the analysis of bulk material in its native form, thereby bypassing sample pretreatment steps. In addition, a validated DART-HRMS method was developed for the quantification of salvinorin A in commercial Salvia products (e.g., raw plant materials, enhanced leaf extracts). In this regard, cholesterol was found to be a suitable internal standard. The average salvinorin A content in raw Salvia leaves was determined to be 1.54 mg/g, while the salvinorin A quantified in enhanced Salvia leaf extracts was between 13.0 and 53.2 mg/g. (Published abstract provided)
      
  
          Additional Details
Grant Number(s)
        2015-DN-BX-K057
                                2017-R2-CX-0020
                                2019-DU-BX-0026


  
  
        
  Agencies
        NIJ-Sponsored


  
  
        
  Publication Type
        Research (Applied/Empirical)


  
  
        
  Award
        Development of Ambient Ionization Mass Spectrometric and Multivariate Statistical Analysis Methods for Rapid High Throughput Analysis and Identification of Psychotropic Plant Species
                                Chemometric Processing of DART-HRMS-derived Dark Matter for the Identification of New Psychoactive Substances
                                Research to Develop Validated Methods for THC Quantification in Complex Matrices by High-resolution DART-MSFocus on Edibles and Plant Materials
    
  
  
Date Published: January 1, 2023
    
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