The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Size and Composition Distribution of Fine Particulate Matter Emitted from Wood Burning, Meat Charbroiling, and Cigarettes
Abstract
A dilution source sampling system is augmented to measure the size-distributed chemical composition of fine particle emissions from air pollution sources. Measurements are made using a laser optical particle counter (OPC), a differential mobility analyzer/condensation nucleus counter (DMA/CNC) combination, and a pair of microorifice uniform deposit impactors (MOUDIs). The sources tested with this system include wood smoke (pine, oak, eucalyptus), meat charbroiling, and cigarettes. The particle mass distributions from all wood smoke sources have a single mode that peaks at approximately 0.1−0.2 μm particle diameter. The smoke from meat charbroiling shows a major peak in the particle mass distribution at 0.1−0.2 μm particle diameter, with some material present at larger particle sizes. Particle mass distributions from cigarettes peak between 0.3 and 0.4 μm particle diameter. Chemical composition analysis reveals that particles emitted from the sources tested here are largely composed of organic compounds. Noticeable concentrations of elemental carbon are found in the particles emitted from wood burning. The size distributions of the trace species emissions from these sources also are presented, including data for Na, K, Ti, Fe, Br, Ru, Cl, Al, Zn, Ba, Sr, V, Mn, Sb, La, Ce, as well as sulfate, nitrate, and ammonium ion when present in statistically significant amounts. These data are intended for use with air quality models that seek to predict the size distribution of the chemical composition of atmospheric fine particles.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Elemental Carbon-Based Method for Monitoring Occupational Exposures to Particulate Diesel Exhaust
Birch, M. E., & Cary, R. A. (1996) · Aerosol Science and Technology · doi:10.1080/02786829608965393 · Cited by 1,783
Spectrophotometric Determination of Ammonia as Indophenol
Bolleter, W. T., Bushman, C. J., & Tidwell, P. W. (1961) · Analytical Chemistry · doi:10.1021/ac60172a034 · Cited by 437
Methods of air sampling and analysis
Lioy, P. J. (1990) · Atmospheric Environment. Part A. General Topics · doi:10.1016/0960-1686(90)90129-b · Cited by 222
Particulate carbon atmospheric life cycle
Walker, P. L. (1982) · Journal of Colloid and Interface Science · doi:10.1016/0021-9797(82)90222-3 · Cited by 203
Hildemann, L. M., Markowski, G. R., Jones, M. C., & Cass, G. R. (1991) · Aerosol Science and Technology · doi:10.1080/02786829108959478 · Cited by 188
Self-citationA Cyclone for Size-Selective Sampling of Ambient Air
John, W., & Reischl, G. (1980) · Journal of the Air Pollution Control Association · doi:10.1080/00022470.1980.10465122 · Cited by 172
Cited by
Light Absorption by Carbonaceous Particles: An Investigative Review
Bond, T. C., & Bergstrom, R. W. (2006) · Aerosol Science and Technology · doi:10.1080/02786820500421521 · Cited by 2,980
Woodsmoke Health Effects: A Review
Naeher, L. P., Brauer, M., Lipsett, M., Zelikoff, J. T., Simpson, C. D., Koenig, J. Q., & Smith, K. R. (2007) · Inhalation Toxicology · doi:10.1080/08958370600985875 · Cited by 1,530
Formation of Urban Fine Particulate Matter
Zhang, R., Wang, G., Guo, S., Zamora, M. L., Ying, Q., Lin, Y., Wang, W., Hu, M., & Wang, Y. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00067 · Cited by 1,426
Visibility: Science and Regulation
Watson, J. G. (2002) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.2002.10470813 · Cited by 929
Abdullahi, K. L., Delgado-Saborit, J. M., & Harrison, R. M. (2013) · Atmospheric Environment · doi:10.1016/j.atmosenv.2013.01.061 · Cited by 565
Metadata
- Authors
- Kleeman, M. J., Schauer, J. J., & Cass, G. R.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 1999-09-11
- Volume
- 33
- Issue
- 20
- Pages
- 3516-3523
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2072025345
- Cited by
- 340
- References
- 6
- FWCI
- 5.75
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.