Development and application of a strategy for analyzing eight biomarkers in human urine to verify toxic mushroom or ricinus communis ingestions by means of hydrophilic interaction LC coupled to HRMS/MS

Abstract The analytical proof of a toxic mushroom and/or plant ingestion at an early stage of a suspected intoxication can be crucial for fast therapeutic decision making. Therefore, comprehensive analytical procedures need to be available. This study aimed to develop a strategy for the qualitative analysis of α- and β-amanitin, psilocin, bufotenine, muscarine, muscimol, ibotenic acid, and ricinine in human urine by means of hydrophilic interaction liquid chromatography-high resolution MS/MS (HILIC-HRMS/MS). Urine samples were prepared by hydrophilic-phase liquid-liquid extraction using dichloromethane and subsequent solid-phase extraction and precipitation, performed in parallel. Separation and identification of the biomarkers were achieved by HILIC using acetonitrile and methanol as main eluents and Orbitrap-based mass spectrometry, respectively. The method was validated as recommended for qualitative procedures and tests for selectivity, carryover, and extraction recoveries were included to also estimate the robustness and reproducibility of the sample preparation. Limits of identification were 1 ng/mL for α- and β-amanitin, 5 ng/mL for psilocin, bufotenine, muscarine, and ricinine, and 1500 ng/mL and 2000 ng/mL for ibotenic acid and muscimol, respectively. Using γ-amanitin, l -tryptophan-d5, and psilocin-d10 as internal standards, compensation for variations of matrix effects was shown to be acceptable for most of the toxins. In eight urine samples obtained from intoxicated individuals, α- and β-amanitin, psilocin, psilocin-O-glucuronide, muscimol, ibotenic acid, and muscarine could be identified. Moreover, psilocin-O-glucuronide and bufotenine-O-glucuronide were found to be suitable additional targets. The analytical strategy developed was thus well suited for analyzing several biomarkers of toxic mushrooms and plants in human urine to support therapeutic decision making in a clinical toxicology setting. To our knowledge, the presented method is by far the most comprehensive approach for identification of the included biomarkers in a human matrix.