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DOI 10.1016/j.jchromb.2017.11.041

Медицинская библиотека · Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2018

Moxidectin residues in lamb tissues: Development and validation of analytical method by UHPLC-MS/MS.

Del Bianchi A Cruz Michelle, Fernandes Maria A M, de C Braga Patricia A, Monteiro Alda L G, Daniel Daniela, Reyes Felix G R

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Аннотация

The development and validation of a throughput method for the quantitation of moxidectin residues in lamb target tissues (muscle, kidney, liver and fat) was conducted using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). To achieve higher recovery of the analyte from the matrices, a modified QuEChERS method was used for sample preparation. The chromatographic separation was achieved using a Zorbax Eclipse Plus C18 RRHD column with a mobile phase comprising 5mM ammonium formate solution +0.1% formic acid (A) and acetonitrile +0.1% formic acid (B) in a linear gradient program. Method validation was performed based on the Commission Decision 2002/657/EC and VICH GL49. To quantify the analyte, matrix-matched analytical curves were constructed with spiked blank tissues, with a limit of quantitation of 5ngg-1 and limit of detection of 1.5ngg-1 for all matrices. The linearity, decision limit, detection capability accuracy, and inter- and intra-day repeatability of the method are reported. The method was successfully applied to incurred lamb tissue samples (muscle, liver, kidney and fat) in a concentration range from 5 to 200μgkg-1, which demonstrated its suitability for monitoring moxidectin residues in lamb tissues in health surveillance programs, as well as for pharmacokinetics and residue depletion studies.

Для цитирования: Del Bianchi A Cruz Michelle, Fernandes Maria A M, de C Braga Patricia A, Monteiro Alda L G, Daniel Daniela, Reyes Felix G R. Moxidectin residues in lamb tissues: Development and validation of analytical method by UHPLC-MS/MS.. Journal of chromatography. B, Analytical technologies in the biomedical and life sciences. 2018. DOI: 10.1016/j.jchromb.2017.11.041.

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