The size-mobility relationship of ions, aerosols, and other charged particle matter.

Larriba-Andaluz, Carlos; Carbone, Francesco

doi:10.1016/j.jaerosci.2020.105659

Cited by 25 publications

(16 citation statements)

References 140 publications

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“…This value, which is lower than that estimated for the D 3 h structure (corresponding to 773 V s m –2 ) may signify a greater abundance of these two isomers. Second, it has been reported that for small and medium ions, when optimized Lennard-Jones parameters are used in the computation of CCS, the accuracy of the TM method of the MOBCAL code usually falls within 4% of the experimental value. , Due to the lack of experimental data on either CCS or electrical mobility of silver oxide cations, we have utilized nonoptimized Lennard-Jones parameters in this study. Lastly, the signals in both the mass and the electrical mobility spectra are affected by the penetration of the instruments, which can well depend on the mass and mobility of the measured clusters, respectively.…”

Section: Resultsmentioning

confidence: 99%

Electronic Structure, Stability, and Electrical Mobility of Cationic Silver Oxide Atomic Clusters

et al. 2022

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Silver oxide cluster cations (Ag n O m + ) can readily be produced by a number of methods including atmospheric-pressure spark ablation of pure silver electrodes when trace amounts of oxygen are present in the carrier gas. Here we determine the equilibrium geometries of Ag n O m + clusters (n = 1−4; m = 1−5) using accurate coupled cluster with singles and doubles (CCSD) method, while the stabilization energies are calculated with additional perturbative triples correction (CCSD(T)). Although a number of stable states have been identified, our results show that the Ag n O m + clusters with m = 1 are more stable than those with m ≥ 2 due to the absence of the terminally attached O 2 molecule, corroborating recent observations by mass spectrometry. Using the computed structures, we calculate the electrical mobilities of the Ag n O m + clusters and label the values on a respective experimentally determined spectrum in an attempt to better interpret the occurrence of the peaks and troughs in the measurements.

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Section: Resultsmentioning

confidence: 99%

Electronic Structure, Stability, and Electrical Mobility of Cationic Silver Oxide Atomic Clusters

et al. 2022

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“…As per eqn (1), an ion's drift velocity responds linearly to changes in the strength of the electric field ( E ). 38,58 Linear response is only observed in the low-field limit since any increase to the ion's T eff (and hence, its drift velocity) induced by collisional activation is negligible compared to the drift velocity of the ion at the temperature of the experiment (typically 298 K). Collisional activation causes an ion's T eff to increase when field strength surpasses the low-field limit, at which point the ion's drift velocity no longer changes linearly with respect to the applied electric field.…”

Section: The Fundamentals Of Dmsmentioning

confidence: 99%

The hitchhiker's guide to dynamic ion–solvent clustering: applications in differential ion mobility spectrometry

Ieritano

Hopkins

2022

Phys. Chem. Chem. Phys.

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“…where q sh is the sheath flow rate, L is the length of the DMA, r 1 is the inner radius, and r 2 is the outer radius. To convert ion mobility in the transition regime (Knudsen number dependent regime) 5,60 to a measure of protein ion "size", we apply the Stokes−Millikan equation:…”

Section: ■ Experimental Methodsmentioning

confidence: 99%

Condensable Vapor Sorption by Low Charge State Protein Ions

2022

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Measurement of the gas-phase ion mobility of proteins provides a means to quantitatively assess the relative sizes of charged proteins. However, protein ion mobility measurements are typically singular values. Here, we apply tandem mobility analysis to low charge state protein ions (+1 and +2 ions) introduced into the gas phase by nanodroplet nebulization. We first determine protein ion mobilities in dry air and subsequently examine shifts in mobilities brought about by the clustering of vapor molecules. Tandem mobility analysis yields mobility-vapor concentration curves for each protein ion, expanding the information obtained from mobility analysis. This experimental procedure and analysis is extended to bovine serum albumin, transferrin, immunoglobulin G, and apoferritin with water, 1-butanol, and nonane. All protein ions appear to adsorb vapor molecules, with mobility "diameter" shifts of up to 6−7% at conditions just below vapor saturation. We parametrize results using κ-Koḧler theory, where the term κ quantifies the extent of uptake beyond Koḧler model expectations. For 1-butanol and nonane, κ decreases with increasing protein ion size, while it increases with increasing protein ion size for water. For the systems probed, the extent of mobility shift for the organic vapors is unaffected by the nebulized solution pH, while shifts with water are sensitive to pH.

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The size-mobility relationship of ions, aerosols, and other charged particle matter.

Cited by 25 publications

References 140 publications

Electronic Structure, Stability, and Electrical Mobility of Cationic Silver Oxide Atomic Clusters

Electronic Structure, Stability, and Electrical Mobility of Cationic Silver Oxide Atomic Clusters

The hitchhiker's guide to dynamic ion–solvent clustering: applications in differential ion mobility spectrometry

Condensable Vapor Sorption by Low Charge State Protein Ions

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