Ion trap MS using high trapping gas pressure enables unequivocal structural analysis of three isobaric compounds in a mixture by using energy-resolved mass spectrometry and the survival yield technique.

Recently, it has been shown that energy-resolved mass spectrometry (MS) can provide quantitative information from two isomeric or isobaric compounds in mixtures by using the survival yield (SY) technique together with "gas-phase collisional purification" (GPCP) strategy (Anal. Chem., 2016, 88, p.10821). Herein, we present an improvement and an extension of this concept to the structural analysis of a model mixture of three isobaric compounds (two peptides and a polyether). By using default collision-induced dissociation (CID) tandem MS parameters on an ion trap instrument, the previous approach did not show any signs of isobaric contamination. However, by modifying CID conditions and using a threefold increase of the He trapping gas pressure (to reach 3.00·10-5 mbar), the SY curve was unexpectedly and strongly shifted to higher excitation voltages with two plateaus appearing. Those plateaus, indicating clearly the presence of three isobaric compounds, were taken as reliable indicators to perform GPCP at carefully selected excitation voltages in order to selectively fragment one compound after the other. In this way, CID mass spectra of each compound were correctly recovered, both in terms of fragment ion peaks and in terms of relative intensities, from energy-resolved MSn spectra of the three compounds mixture. This feature enables their unequivocal structural analysis as if samples were free from isobaric interferences. In this paper, we also discuss the possibility for recovering SY curves for pure compounds directly from the mixture. Clearly, in this case, the higher He trapping gas pressure made it possible to use the SY technique, for the first time, for the structural analysis in the case of mixtures of three isobaric compounds. This observation, quite unexpected, demonstrates that the trapping gas pressure is of paramount importance although it is usually not considered in energy-resolved MS for structural and/or quantitative analysis.