A Template for the Validation of DART-MS for Qualitative Seized Drugs Analysis
Edward Sisco, Amber Burns, Elizabeth Schneider, Laurel Bobka, Ikenna Ikpeama
Direct analysis in real time mass spectrometry (DART-MS) is an increasingly employed tool for a wide range of forensic applications including seized drug analysis. A significant body of research surrounds DART-MS for the analysis of seized drugs and how it can be used to address many of the challenges caused by the increased presence of emerging drugs and novel psychoactive substances. One of the hurdles to adoption of this, and other, technologies by laboratories is lack of available resources to aid in addressing validation, operation, training, and data interpretation needs. To provide additional resources to assist in validation development this work provides a template that can be adopted or adapted for DART-MS or other ambient ionization mass spectrometry techniques for qualitative seized drug analysis. The template, which was created as a result of recent implementation efforts, provides a description of validation studies with a focus on understanding the potential challenges and limitations caused by the prevalence of novel psychoactive substances and other emerging drugs. The studies address accuracy and precision, reproducibility, specificity, sensitivity, environmental factors, use in casework, and robustness. In addition to providing a template for validation the results obtained from completing these studies on two high-resolution DART-MS systems are also presented. This work, and the corresponding supplemental information, were created to add to the available resources that laboratories can leverage to assist in overcoming the adoption hurdles of ambient ionization mass spectrometry systems such as DART-MS.
, Burns, A.
, Schneider, E.
, Bobka, L.
and Ikpeama, I.
A Template for the Validation of DART-MS for Qualitative Seized Drugs Analysis, Forensic Chemistry, [online], https://doi.org/10.1016/j.forc.2022.100415, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932854
(Accessed December 5, 2023)