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Invited Presentation

CHEM

CHEM02: Chemometrics in Forensic Analysis

Characterizing baseline error estimates with wood identification using DART-MS

Monday, October 6, 2025
4:30 PM - 4:50 PM EDT
Location: Meeting Room #7

    Presenting Author(s)

  • AM

    Arun S. Moorthy

    Department of Forensic Science, Trent University
    Peterborough, Ontario, Canada

    • Non-Presenting Author(s)

  • TJ

    Thulasi Jegatheesan

    Department of Forensic Science, Trent University
    Peterborough, Ontario, Canada

  • EE

    Edgard Espinoza

    National Fish & Wildlife Forensic Laboratory, US Fish and Wildlife
    Ashland, Oregon, United States

In fifteen words or less, explain the significance of this contribution (Novel Aspect).:

First attempt at comprehensive characterization of error rates associated with wood identification using DART-MS.

Abstract Text:

Illegal logging is one of the most profitable natural resource crimes around the world. Having methods to rapidly and accurately determine whether an imported wood product contains illegally harvested would help catch perpetrators and, hopefully, dissuade illegal harvesting as an activity. In this seminar, we will discuss the use of direct analysis in real time mass spectrometry (DART-MS) for wood identification. In particular, we discuss how we estimate baseline error rates associated with the process of wood identification with DART-MS through a comprehensive numerical simulation study.