The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Particle Morphology and Density Characterization by Combined Mobility and Aerodynamic Diameter Measurements. Part 2: Application to Combustion-Generated Soot Aerosols as a Function of Fuel Equivalence Ratio
Open accessAbstract
Composition, shape factor, size, and fractal dimension of soot aerosol particles generated in a propane/O2, flame were determined as a function of the fuel equivalence ratio (φ). Soot particles were first size-selected by a differential mobility analyzer (DMA) and then analyzed by an Aerodyne aerosol mass spectrometer (AMS). The DMA provides particles of known mobility diameter (dm ). The AMS quantitatively measures the mass spectrum of the nonrefractory components of the particles and also provides the vacuum aerodynamic diam eter (dva ) corresponding to the particles of known mobility diameter. The measured dm, dva , and nonrefractory composition are used in a system of equations based on the formulation presented in the companion article to estimate the particle dynamic shape factor, total mass, and black carbon (BC) content. Fractal dimension was estimated based on the mass-mobility relationship. Two types of soot particles were observed depending on the fuel equivalence ratio. Type 1: for φ < 4 (lower propane/O2), dva ; was nearly constant and independent of dm . The value of dva increased with increasing φ. Analysis of the governing equations showed that these particles were highly irregular (likely fractal aggregates), with a dynamic shape factor that increased with dm and φ. The fractal dimension of these particles was approximately 1.7. These particles were composed mostly of BC, with the organic carbon content increasing as φ increased. At φ = 1.85, the particles were about 90% BC, 5% PAH, and 5% aliphatic hydrocarbon (particle density = 1.80 g/cm3). Type 2: for φ > 4 (high propane/O2), dva was linearly proportional to dm . Analysis of the governing equations showed that these particles were nearly spherical (likely compact aggregates), with a dynamic shape factor of 1.1 (versus 1 for a sphere) and a fr actal dimension of 2.95 (3 for a sphere). These particles were composed of about 50% PAH, 45% BC, and 5% aliphatic hydrocarbons (particle density = 1.50 g/cm3). These results help interpret some measurement s obtained in recent field studies.
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Cites
CRC Handbook of Chemistry and Physics
P, D. (1992) · Journal of Molecular Structure · doi:10.1016/0022-2860(92)85083-s · Cited by 9,329
Aerosols, Cloud Microphysics, and Fractional Cloudiness
Albrecht, B. A. (1989) · Science · doi:10.1126/science.245.4923.1227 · Cited by 4,422
Aerosols, Climate, and the Hydrological Cycle
Ramanathan, V., Crutzen, P. J., Kiehl, J. T., & Rosenfeld, D. (2001) · Science · doi:10.1126/science.1064034 · Cited by 3,831
Strong radiative heating due to the mixing state of black carbon in atmospheric aerosols
Jacobson, M. Z. (2001) · Nature · doi:10.1038/35055518 · Cited by 2,512
Climate Effects of Black Carbon Aerosols in China and India
Menon, S., Hansen, J., Nazarenko, L., & Luo, Y. (2002) · Science · doi:10.1126/science.1075159 · Cited by 2,124
Development of an Aerosol Mass Spectrometer for Size and Composition Analysis of Submicron Particles
Jayne, J. T., Leard, D. C., Zhang, X., Davidovits, P., Smith, K. A., Kolb, C. E., & Worsnop, D. R. (2000) · Aerosol Science and Technology · doi:10.1080/027868200410840 · Cited by 1,604
Self-citationSoot climate forcing via snow and ice albedos
Hansen, J., & Nazarenko, L. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2237157100 · Cited by 1,332
DeCarlo, P., Slowik, J., Worsnop, D., Davidovits, P., & Jimenez, J. (2004) · Aerosol Science and Technology · doi:10.1080/02786826.2004.10399461 · Cited by 1,239
Self-citationHaynes, B. S., & Wagner, H. G. (1981) · Progress in Energy and Combustion Science · doi:10.1016/0360-1285(81)90001-0 · Cited by 1,045
Ambient aerosol sampling using the Aerodyne Aerosol Mass Spectrometer
Jimenez, J. L., Jayne, J. T., Shi, Q., Kolb, C. E., Worsnop, D. R., Yourshaw, I., Seinfeld, J. H., Flagan, R. C., Zhang, X., Smith, K. A., et al. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2001jd001213 · Cited by 942
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Cited by
Bounding the role of black carbon in the climate system: A scientific assessment
Bond, T. C., Doherty, S. J., Fahey, D. W., Forster, P. M., Berntsen, T., DeAngelo, B. J., Flanner, M. G., Ghan, S., Kärcher, B., Koch, D., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50171 · Cited by 6,385
Michelsen, H. A., Schulz, C., Smallwood, G. J., & Will, S. (2015) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2015.07.001 · Cited by 423
Metadata
- Authors
- Slowik, J., Stainken, K., Davidovits, P., Williams, L. R., Jayne, J. T., Kolb, C. E., Worsnop, D., Rudich, Y., DeCarlo, P., & Jimenez, J.
- Venue
- Aerosol Science and Technology
- Publisher
- Informa UK Limited
- Published
- 2004-12-01
- Volume
- 38
- Issue
- 12
- Pages
- 1206-1222
- ISSN
- 0278-6826 (ISSN-L)
- OpenAlex
- W4232947768
- Cited by
- 280
- References
- 34
- FWCI
- 9.29
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Slowik, J., Stainken, K., Davidovits, P., Williams, L. R., Jayne, J. T., Kolb, C. E., Worsnop, D., Rudich, Y., DeCarlo, P., & Jimenez, J. (2004). Particle Morphology and Density Characterization by Combined Mobility and Aerodynamic Diameter Measurements. Part 2: Application to Combustion-Generated Soot Aerosols as a Function of Fuel Equivalence Ratio. Aerosol Science and Technology. https://doi.org/10.1080/02786826.2004.10399462
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