Forensic Toxicology and Drug Analysis

This paper identifies unknown molecules without reference libraries by combining computational predictions with spectrometric data, achieving exact identifications in a fentanyl case study.

This study uses machine learning on metabolomic data to detect and subtype ketoacidosis in forensic cases with high accuracy.

This paper develops a mathematical model integrating multiple alcohol biomarkers to reconstruct past drinking events and provides an interactive web tool for forensic analysis.

This paper introduces a simplified, fast, and efficient method to extract amatoxins from Amanita phalloides without tissue grinding or long incubation.

This study compares the locomotor and reinforcing effects of pentedrone, pentylone, and methylone in rats, finding that pentedrone and pentylone have greater abuse liability than methylone.