2022
DOI: 10.1021/acs.jpcc.2c02858
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Electrical Mobility as an Indicator for Flexibly Deducing the Kinetics of Nanoparticle Evaporation

Abstract: Condensation and evaporation of vapor species on nanoparticle surfaces drive the aerosol evolution in various industrial/atmospheric systems, but probing these transient processes is challenging due to related time and length scales. Herein, we present a novel methodology for deducing nanoparticle evaporation kinetics using electrical mobility as a natural size indicator. Monodispersed nanoparticles are fed to a differential mobility analyzer which serves simultaneously as an evaporation flowtube and an instru… Show more

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Cited by 2 publications
(2 citation statements)
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“…As an extension of conventional EMSs, we have recently introduced an alternative approach known as the Dynamic-aerosolsize Electrical Mobility Spectrometer (DEMS) (Yang et al, 2022(Yang et al, , 2023a. DEMS is designed to conduct in-situ measurements of rapidly evolving aerosol systems, occurring at a timescale close to that of one EMS voltage scanning cycle.…”
mentioning
confidence: 99%
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“…As an extension of conventional EMSs, we have recently introduced an alternative approach known as the Dynamic-aerosolsize Electrical Mobility Spectrometer (DEMS) (Yang et al, 2022(Yang et al, , 2023a. DEMS is designed to conduct in-situ measurements of rapidly evolving aerosol systems, occurring at a timescale close to that of one EMS voltage scanning cycle.…”
mentioning
confidence: 99%
“…In our previous works, we presented a complete theoretical framework describing particle transmissions within the classification region of the DEMS. Additionally, we demonstrated the methodology's capability to recover the historical changes in particle size profiles, exemplified through the aerosol evaporation process (Yang et al, 2022(Yang et al, , 2023a. Traditionally, aerosol evaporation processes are characterized using a tandem differential mobility analyzer (TDMA) (Rader and McMurry, 1986;Tao and McMurry, 1989).…”
mentioning
confidence: 99%