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                            Library & Multimedia
 Statistical comparison of mass spectra of salvinorins in Salvia divinorum and related Salvia species
NCJ Number
              303287
Journal

*Forensic Chemistry* Volume: 17 Dated: 2020
Author(s)
          M. A. B. Willard;
                        et al
Date Published

2020
Annotation
              To increase confidence in identifications made from the use of mass spectrometry to analyze and compare samples to reference materials, the authors’ laboratory previously developed a method for the statistical comparison of unabbreviated mass spectra, which was used in the current study to compare the mass spectra of salvinorin A, the hallucinogenic compound in the plant Salvia divinorum.
Abstract
              Salvia divinorum samples collected from eight locations in the United States and Canada were extracted and analyzed by gas chromatography-mass spectrometry (GC–MS). Mass spectra of salvinorin A from three replicate extracts of S. divinorum were statistically associated with those of an authentic salvinorin A reference material at various concentrations at the 99.9- percent confidence level. Salvinorin A was distinguished from spectra of salvinorins B, C, and D, also at the 99.9-percent confidence level. For S. divinorum samples from different locations, statistical association of salvinorin A spectra was possible at the 99.9 to 98.0-percent confidence levels. Finally, 441 different Salvia species and varieties were screened for salvinorin A, and mass spectra of compounds with similar retention times were statistically discriminated from salvinorin A at the 99.9-percent confidence level. Overall, spectra of salvinorin A were associated to each other and discriminated from other compounds in plant materials obtained from different locations, extracted using different procedures, and analyzed using different GC–MS instruments and methods over a 3-year period. (publisher abstract modified)
      
  
          Additional Details
Grant Number(s)
        2015-IJ-CX-K008


  
  
        
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        NIJ-Sponsored


  
  
        
  Award
        Statistical and Mass Spectral Tools for the Identification and Characterization of Synthetic Phenethylamines
    
  
  
Date Published: January 1, 2020
    
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