A protocol for wide-scope non-target analysis of contaminants in small amounts of biota using bead beating tissuelyser extraction and LC-HRMS

This work describes a robust and powerful method for wide-scope target and non-target analysis of xenobiotics in biota samples based on bead beating tissuelyser extraction, solid phase extraction (SPE) clean-up and further detection by liquid chromatography coupled to high resolution mass spectrometry (LC-HRMS). Unlike target methodologies, non-target methods usually aim at determining a wide range of still unknown substances with different physicochemical properties. Therefore, losses during the extraction process were minimised. Apart from that, the reduction of possible interferences showed to be necessary to expand the number of compounds that can be detected. This was achieved with an additional SPE clean-up step carried out with mixed-bed multi-layered cartridges. The method was validated with a set of 27 compounds covering a wide range of physicochemical properties, and further applied to the analysis of krill and fish samples. •The bead beating extraction was efficient for a wide range of organic pollutants in small quantities of biota samples. •Multi-layered solid phase extraction clean-up yield a wide xenobiotics coverage reducing matrix effects. •Method validation with 27 compounds led to a suitable method for non-target analysis of organic pollutants in biota.

ICRA researchers thank funding from CERCA program. This work has been funded by the Spanish Ministry of Economy and Competitiveness (MINECO): project PLAS-MED (CTM2017-89701-C3-2-R). SRM acknowledges the Ramon y Cajal program (RYC-2014-16707). This project has been funded by the Chilean Antarctic Institute through project RT_12_17. The Chilean Agency for Research and Development through the FONDAP initiative (grant no. 15150003) “Centro de Investigación Dinámica de Ecosistemas Marinos de Altas Latitudes (IDEAL)”; and “Anillos de Investigación en Ciencia Antartica (grant no. ANID-PIA-ACT-INACH Anillo ACT192057). IDAEA researchers acknowledge the Spanish Ministry of Science and Innovation (Severo Ochoa, Project CEX2018-000794-S).

Peer reviewed