Articles | Volume 9, issue 11
https://doi.org/10.5194/amt-9-5637-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-5637-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A technique for rapid source apportionment applied to ambient organic aerosol measurements from a thermal desorption aerosol gas chromatograph (TAG)
Yaping Zhang
Department of Energy, Environmental, and Chemical Engineering,
Washington University in St. Louis, St. Louis, Missouri, USA
Brent J. Williams
CORRESPONDING AUTHOR
Department of Energy, Environmental, and Chemical Engineering,
Washington University in St. Louis, St. Louis, Missouri, USA
Allen H. Goldstein
Department of Environmental Science, Policy, & Management,
University of California, Berkeley, California, USA
Kenneth S. Docherty
Cooperative Institute for Research in the Environmental Sciences
(CIRES), University of Colorado, Boulder, California, USA
Dept. of Chemistry & Biochemistry, University of Colorado, Boulder, Colorado, USA
currently at: Alion Science and Technology, US EPA Office of
Research and Development, Research Triangle Park, North Carolina, USA
Jose L. Jimenez
Cooperative Institute for Research in the Environmental Sciences
(CIRES), University of Colorado, Boulder, California, USA
Dept. of Chemistry & Biochemistry, University of Colorado, Boulder, Colorado, USA
Viewed
Total article views: 3,351 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Jul 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,872 | 1,378 | 101 | 3,351 | 602 | 106 | 126 |
- HTML: 1,872
- PDF: 1,378
- XML: 101
- Total: 3,351
- Supplement: 602
- BibTeX: 106
- EndNote: 126
Total article views: 2,773 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Nov 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
1,608 | 1,069 | 96 | 2,773 | 413 | 97 | 117 |
- HTML: 1,608
- PDF: 1,069
- XML: 96
- Total: 2,773
- Supplement: 413
- BibTeX: 97
- EndNote: 117
Total article views: 578 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Jul 2016)
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
264 | 309 | 5 | 578 | 189 | 9 | 9 |
- HTML: 264
- PDF: 309
- XML: 5
- Total: 578
- Supplement: 189
- BibTeX: 9
- EndNote: 9
Cited
9 citations as recorded by crossref.
- Characterisation of particle collection and transmission in a polydimethylsiloxane based denuder sampler C. Munyeza et al. 10.1016/j.jaerosci.2019.01.001
- Quartz filter-based thermal desorption gas chromatography mass spectrometry for in-situ molecular level measurement of ambient organic aerosols H. Ren et al. 10.1016/j.chroma.2019.01.010
- Comprehensive Molecular Characterization of Atmospheric Brown Carbon by High Resolution Mass Spectrometry with Electrospray and Atmospheric Pressure Photoionization P. Lin et al. 10.1021/acs.analchem.8b02177
- Comparison of Measurement-Based Methodologies to Apportion Secondary Organic Carbon (SOC) in PM2.5: A Review of Recent Studies D. Srivastava et al. 10.3390/atmos9110452
- Analysis of gas chromatography/mass spectrometry data for catalytic lignin depolymerization using positive matrix factorization Y. Gao et al. 10.1039/C8GC01474D
- Analysis of indoor particles and gases and their evolution with natural ventilation C. Fortenberry et al. 10.1111/ina.12584
- A multi-instrumental approach for calibrating real-time mass spectrometers using high-performance liquid chromatography and positive matrix factorization M. Schueneman et al. 10.5194/ar-2-59-2024
- Bulk and molecular-level characterization of laboratory-aged biomass burning organic aerosol from oak leaf and heartwood fuels C. Fortenberry et al. 10.5194/acp-18-2199-2018
- Contributions of primary sources to submicron organic aerosols in Delhi, India S. Bhandari et al. 10.5194/acp-22-13631-2022
9 citations as recorded by crossref.
- Characterisation of particle collection and transmission in a polydimethylsiloxane based denuder sampler C. Munyeza et al. 10.1016/j.jaerosci.2019.01.001
- Quartz filter-based thermal desorption gas chromatography mass spectrometry for in-situ molecular level measurement of ambient organic aerosols H. Ren et al. 10.1016/j.chroma.2019.01.010
- Comprehensive Molecular Characterization of Atmospheric Brown Carbon by High Resolution Mass Spectrometry with Electrospray and Atmospheric Pressure Photoionization P. Lin et al. 10.1021/acs.analchem.8b02177
- Comparison of Measurement-Based Methodologies to Apportion Secondary Organic Carbon (SOC) in PM2.5: A Review of Recent Studies D. Srivastava et al. 10.3390/atmos9110452
- Analysis of gas chromatography/mass spectrometry data for catalytic lignin depolymerization using positive matrix factorization Y. Gao et al. 10.1039/C8GC01474D
- Analysis of indoor particles and gases and their evolution with natural ventilation C. Fortenberry et al. 10.1111/ina.12584
- A multi-instrumental approach for calibrating real-time mass spectrometers using high-performance liquid chromatography and positive matrix factorization M. Schueneman et al. 10.5194/ar-2-59-2024
- Bulk and molecular-level characterization of laboratory-aged biomass burning organic aerosol from oak leaf and heartwood fuels C. Fortenberry et al. 10.5194/acp-18-2199-2018
- Contributions of primary sources to submicron organic aerosols in Delhi, India S. Bhandari et al. 10.5194/acp-22-13631-2022
Latest update: 11 Oct 2024
Short summary
The binning method provides an alternate way to process GC–MS data in a very fast manner. It only takes a very small portion of time (days versus years) compared to the traditional GC–MS data analysis method (peak identification and integration). Furthermore, the binning method can also be applied to any data set from a measurement (mass spectrometry, spectroscopy, etc.) with additional separations (volatility, polarity, size, etc.).
The binning method provides an alternate way to process GC–MS data in a very fast manner. It...