Ion mobility spectrometry is widely used in analytical
chemistry,
either as a stand-alone technique or coupled to mass spectrometry.
Ions in the gas phase tend to form loosely bound clusters with surrounding
solvent vapors, artificially increasing the collisional cross section
and the mass of the ion. This, in turn, affects ion mobility and influences
separation. Further, ion–solvent clusters play an important
role in most ionization mechanisms occurring in the gas phase. Consequently,
a deeper understanding of ion–solvent cluster association and
dissociation processes is desirable to guide experimental design and
interpretation. A few computational models exist, which aim to describe
the amount of clustering as a function of the reduced electric field
strength, bath gas pressure and temperature, and the chemical species
probed. It is especially challenging to model ion mobility under high
reduced electrical field strengths due to the nonthermal conditions
created by the field. In this work, we aim to validate a recently
proposed first-principles model by comparing its predictions with
direct measurements of cluster size distributions over a range of
20–120 Td as observed using a High Kinetic Energy Ion Mobility
Spectrometer coupled to a mass spectrometer (HiKE-IMS-MS). By studying
H+(H2O)
n
, [MeOH
+ H + n(H2O)]+, [ACE + H + n(H2O)]+, and [PhNH2 +
H + n(H2O)]+ as test systems,
we find very good agreement between model and experiment, supporting
the validity of the computational workflow. Further, the detailed
information gained from the modeling yields important insights into
the cluster dynamics within the HiKE-IMS, allowing for better interpretation
of the measured ion mobility spectra.