Selectivity of electrospray response in small polymer analysis by mass spectrometry.

The selectivity of electrospray was explored for a small poly(ethylene)glycol by comparing the oligomer response obtained from direct polymer introduction in flow injection analysis with the signal recorded in high-performance liquid chromatography/mass spectrometry (HPLC/MS). When the oligomer mixture was ionized, a suppression effect was measured for all but the more hydrophobic congeners for which the response was enhanced. This result would reflect the influence of electrospray droplet chemical composition on the equilibrium partitioning coefficient in Enke's model. On average, the electrospray selectivity observed for the studied poly(ethylene)glycol did not affect the molecular weight distribution parameters as response for the most concentrated oligomers was suppressed to the same extent while over-expressed largest congeners had a low contribution to the total polymer sample.

Chemometric approach to evaluate the parameters affecting electrospray: application of a statistical design of experiments for the study of arginine ionization.

The effects of different experimental parameters on arginine electrospray ionization have been investigated with response surface modelling design. This chemometric technique allows a study of the effects of selected experimental variables and their interactions on the response of an experiment by performing a limited number of analyses. Six variables were studied: methanol content in the liquid phase, formic acid concentration, electrospray voltage, orifice voltage, mobile phase flow rate, and sheath gas flow rate. Signal abundance and signal-to-noise ratio of the protonated molecule and the protonated dimer were measured from the electrospray mass spectra and these four responses were tested by the design. The factor that exhibits the greatest influence on MH+ abundance is shown to be the liquid flow rate whereas the formation of protonated dimer is mainly controlled by the percentage of methanol in the mobile phase. A strong synergic effect of methanol content and formic acid concentration in the liquid has also been demonstrated in the study of noise level. Moreover, the capabilities of the multicriteria optimization method have been demonstrated through a successful prediction of a set of optimal experimental conditions.