Robust Detection of Ecstasy-Like and Adulterants Through ASAP-MS and DD-SIMCA.
Drug testing and analysis February 4, 2025 Rafael D Soares, Danielle K John, Marcos P Thomé et al. 1 citation
A rapid and reliable method combining ASAP-MS with DD-SIMCA accurately identifies ecstasy (MDMA) and its adulterants, including emerging psychoactive substances missed by traditional tests. Principal component analysis (PCA) captured 69% of data variability in the first three components, and the DD-SIMCA model showed high sensitivity for MDA samples and high specificity in training and test sets. The chemometric model matched standard technique results even with adulterants present, suggesting these tools are valuable for forensic drug analysis.