Particle Morphology and Density Characterization by Combined Mobility and Aerodynamic Diameter Measurements. Part 1: Theory

By P. DeCarlo, J. Slowik, D. Worsnop, P. Davidovits, J. Jimenez. 2004

1,145 citations recorded by the source corpus.

Subfields: Atmospheric Science, Health, Toxicology and Mutagenesis, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/574e9a2a664dcb4aa62399cad653659c8aca2f36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

In Health, Toxicology and Mutagenesis

In Water Science and Technology

Citations in the corpus

From Agglomerates of Spheres to Irregularly Shaped Particles: Determination of Dynamic Shape Factors from Measurements of Mobility and Vacuum Aerodynamic Diameters (2006, methodology): “In DeCarlo et al. (2004) only the effect of flow regime is considered.”
The deposition ice nucleation and immersion freezing potential of amorphous secondary organic aerosol: Pathways for ice and mixed‐phase cloud formation (2012, methodology): “The effective density (rorg) of SOA particles was calculated from the ratio of modal AMS vacuum aerodynamic diameter and modal SMPS mobility diameter measured during particle collection, assuming spherical particles [DeCarlo et al., 2004], yielding SOA rorg values of about 1.3 g cm 3.”
Scanning Mobility CCN Analysis—A Method for Fast Measurements of Size-Resolved CCN Distributions and Activation Kinetics (2010, background): “…compared to a spherical particle of the same mass. Shape factors for pure salts are often known (e.g., 1.08 for NaCl; Kämer et al. 2000), but its determination for ambient particles may require auxiliary measurements of aerodynamic sizing (e.g., DeCarlo et al. 2004; Kuwata and Kondo 2009).”
Design, Modeling, Optimization, and Experimental Tests of a Particle Beam Width Probe for the Aerodyne Aerosol Mass Spectrometer (2005, methodology): “Submicron aerosols entering the AMS are focused into a narrow beam via an aerodynamic lens (Zhang et al. 2002, 2004c), and reach a terminal velocity that is a function of their vacuum aerodynamic diameter, dva ( DeCarlo et al. 2004; Jimenez et al. 2003a).”
Transmission Efficiency of an Aerodynamic Focusing Lens System: Comparison of Model Calculations and Laboratory Measurements for the Aerodyne Aerosol Mass Spectrometer (2007, background): “…cm−3) gives EL for that size: EL (dva) = CountsAMS(dva) CountsCPC(dva) [11] where the vacuum aerodynamic diameter dva = ρp/ρ0 ×dm ×S, ρp (g cm−3) is the material density, ρ0 (g cm−3) is unit density and S is the empirically determined Jayne shape factor (DeCarlo et al. 2004; Jayne et al. 2000).”
Characterization of an Aerodyne Aerosol Mass Spectrometer (AMS): Intercomparison with Other Aerosol Instruments (2005, methodology): “…the above three factors are referred to as ε1, ε2, and ε3, respectively. ε1 is estimated to be ∼8% (i.e., from 1.025 cubed), based on the PSL calibration. ε2 is estimated to be of the order of 6% for 350-nm NH4NO3 particles, based on the theoretical calculations performed by DeCarlo et al. (2004).”
Understanding atmospheric organic aerosols via factor analysis of aerosol mass spectrometry: a review (2011, background): “between 400 and 600 nm (in vacuum aerodynamic diameter; dva [30]) and seems to be mostly internally mixed with sulfate, a secondary inorganic species.”
Optical properties and aging of light-absorbing secondary organic aerosol (2016, methodology): “The density of organic aerosols was calculated by comparing the volume-weighted mobility size measured by SMPS and the mass-weighted aerodynamic size distribution measured by AMS (DeCarlo et al., 2004).”
Design and performance of a three-wavelength LED-based total scatter and backscatter integrating nephelometer (2010, methodology): “The accuracy of gas calibrations was investigated in Heintzenberg et al. (2006) with many nephelometers.”
Changes of hygroscopicity and morphology during ageing of diesel soot (2011, background): “The mobility diameter (D) of a non-spherical particle is generally larger than the geometric diameter of a spherical particle with equal volume (DeCarlo et al 2004) and thus the measured GF provides a lower limit for the true hygroscopic growth due to water uptake.”
Cloud condensation nuclei in pristine tropical rainforest air of Amazonia: size-resolved measurements and modeling of atmospheric aerosol composition and CCN activity (2009, positive): “…based on the campaignaverage effective particle density of 1.4 g cm −3 determined by Chen et al. (2009) from AMS and SMPS measurements according to DeCarlo et al. (2004) ; it is in good agreement with earlier laboratory and field measurements of organicrich aerosol particles (Cross et al., 2007;…”
Calibration and measurement uncertainties of a continuous-flow cloud condensation nuclei counter (DMT-CCNC): CCN activation of ammonium sulfate and sodium chloride aerosol particles in theory and experiment (2007, methodology): “For sodium chloride particles, different shape factors have been used: a constant value ofχ=1.08 (e.g., Kr̈amer et al., 2000; Mikhailov et al., 2004) or sizedependent values in the range of 1.08–1.24 (Biskos et al., 2006b; DeCarlo et al., 2004).”
Shapes of soot aerosol particles and implications for their effects on climate (2010, background): “[17] The average volume‐equivalent diameter of our measured particles is 412 nm (Table 2), which is larger than the sampled aerodynamic diameter (50 to 300 nm), a situation that is common for irregularly shaped particles [ DeCarlo et al., 2004 ].”
Aerosol Mixing State: Measurements, Modeling, and Impacts (2019, background): “In line with the typical usage of morphology for aerosols, we primarily focus on composition and other physical properties and readers are directed to a number of other comprehensive overviews of the definitions and implications of aerosol size (DeCarlo et al., 2004; Friedlander, 1977; Fuchs, 1964; ”
Effective Density Characterization of Soot Agglomerates from Various Sources and Comparison to Aggregation Theory (2013, background): “[1] Other techniques may also yield related information (DeCarlo et al. 2004; Maricq and Ning 2004; Virtanen et al. 2004).”