Supporting dataset on the validation and verification of the analytical method for the biomonitoring of 360 toxicologically relevant pollutants in whole blood

Cristian Rial-Berriel; Andrea Acosta-Dacal; Fernando González; Natalia Pastor-Tiburón; Manuel Zumbado; Octavio P Luzardo

doi:10.1016/j.dib.2020.105878

Supporting dataset on the validation and verification of the analytical method for the biomonitoring of 360 toxicologically relevant pollutants in whole blood

Data Brief. 2020 Jun 18:31:105878. doi: 10.1016/j.dib.2020.105878. eCollection 2020 Aug.

Authors

Cristian Rial-Berriel^{1

2}, Andrea Acosta-Dacal¹, Fernando González^{2

3}, Natalia Pastor-Tiburón^{2

3}, Manuel Zumbado^{1

4}, Octavio P Luzardo^{1

2

4}

Affiliations

¹ Toxicology Unit, Clinical Sciences Department, Research Institute of Biomedical and Health Sciences (IUIBS), Universidad de Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe s/n, 35016 Las Palmas de Gran Canaria, Spain.
² Study Group on Wild Animal Conservation Medicine (GEMAS), Spain.
³ GREFA (Grupo de Rehabilitación de la Fauna Autóctona y su Hábitat), Ctra. Monte del Pilar s/n, 28220 Majadahonda, Madrid, Spain.
⁴ Spanish Biomedical Research Center in Physiopathology of Obesity and Nutrition (CIBERObn), Spain.

Abstract

The dataset presented in this article supports "Micro QuEChERS-based method for the simultaneous biomonitoring in whole blood of 360 toxicologically relevant pollutants for wildlife" (Rial-Berriel et al., 2020). The supplementary data are: (1) Detailed validation data of the LC-MS/MS and GC-MS/MS methods for the quantification of 360 chemicals covering bias and precision (intra- and inter-day variability) for retention times, linearity, and limits of quantification. (2) Graphical data of the matrix effects on the quantification of all of the analytes. (3) Individual data of the 51 chemicals detected in real whole blood samples from two raptor species: 36 barn owls (Tyto alba) and 112 common kestrels (Falco tinnunculus).

Keywords: Barn owl; Common kestrel; GC-MS/MS; LC-MS/MS; Persistent organic pollutants; Pesticides; Rodenticides; Veterinary pharmaceuticals.