The DOI matches its Crossref record.
Species Contributions to PM2.5 Mass Concentrations: Revisiting Common Assumptions for Estimating Organic Mass
Open accessAbstract
In virtually all published literature wherein closure between gravimetric and chemical measurements is tested, the concentration of particulate organics is estimated by multiplying the measured concentration of organic carbon (micrograms carbon/cubic meter air) by a factor of 1.2 -1.4.This factor, which is an estimate of the average molecular weight per carbon weight for the organic aerosol, stems from very limited theoretical and laboratory studies conducted during the 1970s.This investigation suggests that 1.4 is the lowest reasonable estimate for the organic molecular weight per carbon weight for an urban aerosol and that 1.4 does not accurately represent the average organic molecular weight per carbon weight for a nonurban aerosol.Based on the current evaluation, ratios of 1.6 § 0.2 for urban aerosols and 2.1 § 0.2 for nonurban aerosols appear to be more accurate.Measurements are recommended.Literature values also suggest that 1.2 g/cm 3 is a reasonable estimate for the organic aerosol density.This quantity is needed to convert between geometric and aerodynamic size distributions (e.g., to predict aerosol optical properties and understand cloud nucleating properties).
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
Cited by
Emission of trace gases and aerosols from biomass burning – an updated assessment
Andreae, M. O. (2019) · Atmospheric Chemistry and Physics · doi:10.5194/acp-19-8523-2019 · Cited by 1,091
Global anthropogenic emissions of particulate matter including black carbon
Klimont, Z., Kupiainen, K., Heyes, C., Purohit, P., Cofala, J., Rafaj, P., Borken-Kleefeld, J., & Schöpp, W. (2017) · Atmospheric Chemistry and Physics · doi:10.5194/acp-17-8681-2017 · Cited by 878
HUEGLIN, C., GEHRIG, R., BALTENSPERGER, U., GYSEL, M., MONN, C., & VONMONT, H. (2005) · Atmospheric Environment · doi:10.1016/j.atmosenv.2004.10.027 · Cited by 565
Particulate and trace gas emissions from open burning of wheat straw and corn stover in China
Li, X., Wang, S., Duan, L., Hao, J., Li, C., Chen, Y., & Yang, L. (2007) · Environmental Science & Technology · doi:10.1021/es0705137 · Cited by 429
SVOC exposure indoors: fresh look at dermal pathways: SVOC exposure via dermal pathways
Weschler, C. J., & Nazaroff, W. W. (2012) · Indoor Air · doi:10.1111/j.1600-0668.2012.00772.x · Cited by 422
Status and characteristics of ambient PM2.5 pollution in global megacities
Cheng, Z., Luo, L., Wang, S., Wang, Y., Sharma, S., Shimadera, H., Wang, X., Bressi, M., de Miranda, R. M., Jiang, J., et al. (2016) · Environment International · doi:10.1016/j.envint.2016.02.003 · Cited by 393
Mass reconstruction methods for PM2.5: a review
Chow, J. C., Lowenthal, D. H., Chen, L.-W. A., Wang, X., & Watson, J. G. (2015) · Air Quality, Atmosphere & Health · doi:10.1007/s11869-015-0338-3 · Cited by 379
Child exposure to indoor and outdoor air pollutants in schools in Barcelona, Spain
Rivas, I., Viana, M., Moreno, T., Pandolfi, M., Amato, F., Reche, C., Bouso, L., Àlvarez-Pedrerol, M., Alastuey, A., Sunyer, J., et al. (2014) · Environment International · doi:10.1016/j.envint.2014.04.009 · Cited by 345
“OC was converted into organic matter (OM) by a factor of 1.6, which according to Turpin and Lim (2001) accounts for the heteroatoms (O, H, N) present in theOM.”
MethodInfluentialIndoor secondary pollutants from cleaning product and air freshener use in the presence of ozone
Singer, B. C., Coleman, B. K., Destaillats, H., Hodgson, A. T., Lunden, M. M., Weschler, C. J., & Nazaroff, W. W. (2006) · Atmospheric Environment · doi:10.1016/j.atmosenv.2006.06.005 · Cited by 330
Brock, C. A., Cozic, J., Bahreini, R., Froyd, K. D., Middlebrook, A. M., McComiskey, A., Brioude, J., Cooper, O. R., Stohl, A., Aikin, K. C., et al. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-2423-2011 · Cited by 251
Rogula-Kozłowska, W., Klejnowski, K., Rogula-Kopiec, P., Ośródka, L., Krajny, E., Błaszczak, B., & Mathews, B. (2014) · Air Quality, Atmosphere & Health · doi:10.1007/s11869-013-0222-y · Cited by 176
Tran, T. M., & Kannan, K. (2015) · Archives of Environmental Contamination and Toxicology · doi:10.1007/s00244-015-0140-0 · Cited by 151
Harrison, R. M., Jones, A. M., & Lawrence, R. G. (2003) · Atmospheric Environment · doi:10.1016/j.atmosenv.2003.08.025 · Cited by 136
Seasonal variations and mass closure analysis of particulate matter in Hong Kong
HO, K., LEE, S., CAO, J., CHOW, J., WATSON, J., & CHAN, C. (2006) · Science of The Total Environment · doi:10.1016/j.scitotenv.2005.03.013 · Cited by 103
Ferrero, L., Cappelletti, D., Busetto, M., Mazzola, M., Lupi, A., Lanconelli, C., Becagli, S., Traversi, R., Caiazzo, L., Giardi, F., et al. (2016) · Atmospheric Chemistry and Physics · doi:10.5194/acp-16-12601-2016 · Cited by 92
Carbonaceous particles and aerosol mass closure in PM2.5 collected in a port city
Genga, A., Ielpo, P., Siciliano, T., & Siciliano, M. (2017) · Atmospheric Research · doi:10.1016/j.atmosres.2016.08.022 · Cited by 42
Chang, N. Y., Eichler, C. M. A., Amparo, D. E., Zhou, J., Baumann, K., Cohen Hubal, E. A., Surratt, J. D., Morrison, G. C., & Turpin, B. J. (2025) · Environmental Science: Processes & Impacts · doi:10.1039/d4em00359d · Cited by 24
Self-citationFurman, P., Styszko, K., Skiba, A., Zięba, D., Zimnoch, M., Kistler, M., Kasper-Giebl, A., & Gilardoni, S. (2021) · Aerosol and Air Quality Research · doi:10.4209/aaqr.2020.05.0223 · Cited by 18
Metadata
- Authors
- Turpin, B. J., & Lim, H.-J.
- Venue
- Aerosol Science and Technology
- Publisher
- Informa UK Limited
- Published
- 2001-01
- Volume
- 35
- Issue
- 1
- Pages
- 602-610
- ISSN
- 0278-6826 (ISSN-L)
- 1521-7388
- OpenAlex
- W2114826007
- Cited by
- 2,036
- References
- 0
- FWCI
- 30.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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.