Assessment of robustness for an LC-MS-MS multi-method by response-surface methodology, and its sensitivity

Sensitive, fast, and robust multi-methods are required for the surveillance of the contamination of the drinking water resources by organic trace contaminants. In the present work an alternative strategy using response surface methodology (RSM) was applied for assessment of the robustness of a LC-MS-MS multi-method. The analytical method was optimised by means of a central composite design including six design variables. The main object was to evaluate the significance of the RSM results with regard to robustness and to the sensitivity to the mass transitions used in the multi-method. The robustness of the multi-method was represented by the curvature of the calculated response surfaces for the response value R. Furthermore, it could be demonstrated that the RSM was sensitive to changes made to the investigated data set and was able to clearly indicate the fraction of substances, which met the defined criterion for signal-to-noise-ratio.