2017-03-17T14:30:49Z
2017-06-20T22:01:23Z
2016-06-20
2017-03-17T14:30:50Z
We developed a Quick, Easy, Cheap, Effective, Rugged, and Safe (QuEChERS) method for the high throughput determination of 10 non-steroidal anti-inflammatory drugs (NSAIDs) in milk samples using high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) with a triple quadrupole (QqQ) instrument and an electrospray ionization (ESI) source. The new extraction procedure is highly efficient, and we obtained absolute recoveries in the range 78.1-97.1 % for the extraction and clean-up steps. Chromatographic separation is performed in the gradient mode with a biphenyl column and acidic mobile phases consisting of water and acetonitrile containing formic acid. The chromatographic run time was about 12 min, and NSAID peaks showed a good symmetry factor. For MS/MS detection, we used multiple reaction monitoring (MRM) mode, using ESI in both positive and negative modes. Our method has been validated in compliance with the European Commission Decision 657/2002/EC, and we obtained very satisfactory results in inter-laboratory testing. Furthermore, we explored the use of a hybrid high resolution mass spectrometer, combining a quadrupole and an Orbitrap mass analyzer, for high resolution (HR) MS/MS detection of NSAIDs. We achieved lower NSAID quantification limits with Q-Orbitrap high resolution mass spectrometry (HRMS/MS) detection than those achieved with the QqQ instrument; however, its main feature is its very high selectivity, which makes HRMS/MS particularly suitable for confirmatory analysis.
Article
Accepted version
English
Cromatografia de líquids; Espectrometria de masses; Antiinflamatoris no esteroïdals; Llet; Liquid chromatography; Mass spectrometry; Nonsteroidal anti-inflammatory agents; Milk
Springer Verlag
Versió postprint del document publicat a: https://doi.org/10.1007/s00216-016-9679-5
Analytical and Bioanalytical Chemistry, 2016, vol. 408, num. 21, p. 5769-5778
https://doi.org/10.1007/s00216-016-9679-5
(c) Springer Verlag, 2016