Comparison of different methods aiming to account for/overcome matrix effects in LC/ESI/MS on the example of pesticide analyses

Abstract

In this paper some of the most common methods for overcoming matrix effects in LC/ESI/MS (matrix-matched calibration, standard addition, post-column standard infusion, extrapolative dilution, and post-column flow splitting) are compared according to their ability to give both true and accurate results for pesticide determination in complicated matrices such as onion and garlic. In order to provide a quantitative comparison we use a measure of accuracy that would account for both average trueness and scatter of the results. Extrapolative dilution and standard addition were found to give results statistically insignificantly different from the correct values. In addition extrapolative dilution – a hybrid approach for both reducing and correcting for matrix effects – was found to result in the highest accuracy of the measurements.