2020
DOI: 10.1080/02786826.2020.1807459
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Enhancing charging and capture efficiency of aerosol nanoparticles using an atmospheric-pressure, flow-through RF plasma with a downstream DC bias

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Cited by 11 publications
(18 citation statements)
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“…It is likely that in our experiments, the externally applied electric field influenced the latter transition. Positively charged particles in afterglows were also reported in several other studies 42 , 53 57 . Since the photon energy of the laser system was below the work function of silver 58 , photodetachment was assumed to be negligible.…”
Section: Discussionsupporting
confidence: 80%
“…It is likely that in our experiments, the externally applied electric field influenced the latter transition. Positively charged particles in afterglows were also reported in several other studies 42 , 53 57 . Since the photon energy of the laser system was below the work function of silver 58 , photodetachment was assumed to be negligible.…”
Section: Discussionsupporting
confidence: 80%
“…Another assumption in the modeling is that the charging reactions attain a steady state within the afterglow (based on the residence times of the particles in the plasma). While this assumption certainly becomes better for particles >100 nm, sub-80 nm particles considered here have characteristic particle-ion collision times (the slower among particle-ion and particle-electron collisions) and for ∼10 nm particles, it is possible that the particles took much longer than the 2 cm region nominally taken to be the afterglow (in our modeling as well as in the experiments [23,26]). Inclusion of an unsteady term in equation ( 2) thus becomes necessary for small particles and needs to be explored in future work.…”
Section: Estimation Of Particle Charge Distribution In the Afterglow ...mentioning
confidence: 90%
“…Hence, for simplicity, we take n e = 0.5 × 10 15 m −3 , k B T e = 0.51 eV, T i = T g = 300 K in the plasma. The estimate of n e is based on the remarks of Dhawan et al [26], a follow-up study to the observations reported by Sharma et al [23], that a choice of 2.5 × 10 15 m −3 leads to reasonable agreement between the characteristic charging time analysis and their experimental results. Although our choice of electron concentration is five times smaller, we also explore the variation in the predicted particle charges with variability in electron concentration.…”
Section: Estimation Of Particle Charge Distribution In the Afterglow ...mentioning
confidence: 90%
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