Multiclass method to determine emerging pollutants in bats using a non-invasive approach based on guano matrix

Abstract

Emerging pollutants have been ubiquitously found in environmental compartments, while there is scarce information about these substances and their effects on health status in wild terrestrial mammals. Bat species are very sensitive animals to any changes in the environment and are considered one of the best bioindicators of the quality of the environment to terrestrial wildlife. To acquire a better knowledge of the environmental exposure to these animals, a multiclass method is proposed to determine 20 emerging pollutants (six perfluoroalkyl substances (PFAS), four parabens (PB), four benzophenones (BP), a plasticizer (BPA), and five surfactants (four linear alkylbenzene sulfonates (LAS) and nonylphenol (NP)) in bats using a non-invasive approach based on guano matrix. Sample treatment involved ultrasonic solvent extraction and dispersive solid phase extraction prior to analysis in a single run with liquid chromatography-tandem mass spectrometry. The main variables affecting the extraction and clean-up steps were evaluated using single and multivariate strategies. Under the optimized conditions, satisfactory analytical characteristics in terms of linearity, recoveries (>80 %), precision (RSD < 24 %) and method quantification limits (from 0.01 to 64 ng/g dry weight) were obtained. Furthermore, and as a proof of concept, guano samples from a bat reference population were collected from a colony located in Brenna village, in south Poland. The results confirm the exposure of wild bats to emerging pollutants (LAS, PFAS, and PB compounds were frequently detected in the samples) and the suitability of the bat guano matrix for understanding the environmental exposure in terrestrial mammals.