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                            Funding & Awards
 Detection and Identification of Psychoactive Material Based On SPME-facilitated DART-MS-derived Headspace Chemical Signatures and Chemometrics
Award Information
Awardee
              RESEARCH FOUNDATION FOR THE STATE UNIVERSITY OF NEW YORK, THE
Award #
              2018-R2-CX-0012
Funding Category
              Competitive Discretionary
Location
                    ALBANY, NY
Congressional District
              20
Status
              Closed
Funding First Awarded
              2018
Total funding (to date)
              $100,000
Original Solicitation
              NIJ FY18 Graduate Research Fellowship in Science, Technology, Engineering, and Mathematics
Description of original award (Fiscal Year 2018, $100,000)
Due to the increased crackdown on the use of illegal drugs such as heroin and methamphetamine, users are turning to other psychoactives such as unscheduled synthetically-derived fentanyl derivatives and plant-based legal highs, such as kratom. These products represent occupational hazards for crime scene investigators (CSls) and sniffer dogs because of their high toxicity. Therefore, there is an urgent need for the development of methods to detect the presence of these compounds in open spaces prior to exposure to ensure the safety of CSl's. It is hypothesized that the headspace volatiles of synthetically-derived drugs can be used for compound identification using SPME fibers followed by DART-HRMS analysis and statistical analysis processing. This hypothesis will be explored, proof of principle developed, and a database of headspace signatures will be compiled so that law enforcement practitioners can use it to screen SPME fiber chemical signatures acquired from open spaces. The results of analysis of the fibers will provide information on the safety to environments to which CSl's might be exposed prior to exposure. "Note: This project contains a research and/or development component, as defined in applicable law," and complies with Part 200 Uniform Requirements - 2 CFR  200.210(a)(14). ca/ncf



  
Grant-Funded Publications
        
                      Quantification of hordenine in a complex plant matrix by direct analysis in real time-high-resolution mass spectrometry: Application to the "plant of concern" Sceletium tortuosum
                  Workflow for the Supervised Learning of Chemical Data: Efficient Data Reduction-Multivariate Curve Resolution (EDR-MCR)
                  Detection and Quantification of Psychoactive N,N-Dimethyltryptamine in Ayahuasca Brews by Ambient Ionization High-Resolution Mass Spectrometry
                  Random Forest Processing of Direct Analysis in Real-Time Mass Spectrometric Data Enables Species Identification of Psychoactive Plants From Their Headspace Chemical Signatures

  
Date Created: September 27, 2018
    
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                  Evaluation of the Luxon Ion Source for Rapid Screening in Forensic Laboratories
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