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A limited number of substances are authorised for the treatment of bees. Maximum residue limits (MRLs) are set for tetracyclines in several matrices, but not for honey. Nevertheless, tetracycline antibiotics may be used in order to prevent bacterial diseases and the loss of honey bee populations. In this study, a sensitive multi-residue LC-MS/MS method was developed and optimised for the quantitative and qualitative determination of tetracycline residues in honey. Homogenisation of samples under acidic conditions was performed and solid-phase extraction was carried out. The eluate was evaporated under nitrogen and dissolved in an aqueous methanol solution prior to filtration. A mobile phase composed of acetic acid-water and acetic acid-acetonitrile was used. Separation of tetracycline, oxytetracycline, chlortetracycline and doxytetracycline was achieved by using gradient elution on a C18 chromatography column. The analytical method was validated according to Commission Decision 2002/657/EC by the analysis of spiked samples around the recommended concentration of 20 μg kg(-1) by EURL Guidance Paper, December 2007. A matrix effect was observed, so quantification was based on an external matrix calibration curve. Calculated decision limits (CCα) were lower than 10 μg kg(-1) for all tetracyclines. Good linearity, repeatability and within-laboratory reproducibility were achieved.

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This document is the "Report on SSD2 pilot results" which is the final deliverable of the project OC/EFSA/DATA/2015/02: "Pilot project on the implementation of SSD2 in the frame of the electronic transmission of harmonised data collection of analytical results to EFSA". The report describes the adaptation of the software and databases already developed as part of the project OC/EFSA/DCM/2013/05 for the implementation of SSD2 in the domains of Pesticide residues, Contaminants and Food Additives, to extend their applicability to the domain of Residues of Veterinary Medicinal Products (under Council Directive 96/23/EC). The report also describes the challenges encountered and provides recommendations to EFSA.