Semi-Quantitative Estimation of MDMA Tablet Dosage and Cocaine/Ketamine Purity Using a Simple to Operate Field-Portable Device
ChemRxiv June 9, 2026 Matthew Gardner, Alexander Power, Anca Frinculescu et al.
A low-cost, field-portable device using Hybridized Spectral Fingerprinting (HSF) and deep learning can rapidly screen illicit drug samples for MDMA dosage and cocaine/ketamine purity. A convolutional neural network trained on 62 GC-EI-MS quantified MDMA tablets classified samples into 1–170 mg or 170–300 mg dosage brackets, achieving 98% accuracy on 195 external test samples. Another model trained on 1H NMR quantified cocaine and ketamine samples provided presumptive identification and semi-quantitative purity estimation with 96% accuracy on 47 external samples. The approach supports harm reduction and police screening by alerting on potentially harmful MDMA tablets and estimating cocaine and ketamine purity.