Collision-Induced Dissociation of Electrosprayed NaCl Clusters: Using Molecular Dynamics Simulations to Visualize Reaction Cascades in the Gas Phase.
Tilo D SchachelHaidy MetwallyVlad PopaLars KonermannPublished in: Journal of the American Society for Mass Spectrometry (2016)
Infusion of NaCl solutions into an electrospray ionization (ESI) source produces [Na(n+1)Cl n ]+ and other gaseous clusters. The n = 4, 13, 22 magic number species have cuboid ground state structures and exhibit elevated abundance in ESI mass spectra. Relatively few details are known regarding the mechanisms whereby these clusters undergo collision-induced dissociation (CID). The current study examines to what extent molecular dynamics (MD) simulations can be used to garner insights into the sequence of events taking place during CID. Experiments on singly charged clusters reveal that the loss of small neutrals is the dominant fragmentation pathway. MD simulations indicate that the clusters undergo extensive structural fluctuations prior to decomposition. Consistent with the experimentally observed behavior, most of the simulated dissociation events culminate in ejection of small neutrals ([NaCl] i , with i = 1, 2, 3). The MD data reveal that the prevalence of these dissociation channels is linked to the presence of short-lived intermediates where a relatively compact core structure carries a small [NaCl] i protrusion. The latter can separate from the parent cluster via cleavage of a single Na-Cl contact. Fragmentation events of this type are kinetically favored over other dissociation channels that would require the quasi-simultaneous rupture of multiple electrostatic contacts. The CID behavior of NaCl cluster ions bears interesting analogies to that of collisionally activated protein complexes. Overall, it appears that MD simulations represent a valuable tool for deciphering the dissociation of noncovalently bound systems in the gas phase. Graphical Abstract ᅟ.
Keyphrases
- molecular dynamics
- electron transfer
- density functional theory
- molecular dynamics simulations
- ms ms
- high glucose
- diabetic rats
- genome wide
- single cell
- risk factors
- quantum dots
- machine learning
- drug induced
- low dose
- mass spectrometry
- molecular docking
- dna binding
- oxidative stress
- electronic health record
- big data
- binding protein
- data analysis
- artificial intelligence
- protein protein
- genetic diversity