Articles | Volume 6, issue 11
https://doi.org/10.5194/amt-6-3131-2013
© Author(s) 2013. 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-6-3131-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 Nov 2013
Research article |
| 19 Nov 2013
Quantitative single-particle analysis with the Aerodyne aerosol mass spectrometer: development of a new classification algorithm and its application to field data
F. Freutel
Max Planck Institute for Chemistry, Mainz, Germany
F. Drewnick
Max Planck Institute for Chemistry, Mainz, Germany
J. Schneider
Max Planck Institute for Chemistry, Mainz, Germany
T. Klimach
Max Planck Institute for Chemistry, Mainz, Germany
S. Borrmann
Max Planck Institute for Chemistry, Mainz, Germany
Institute of Atmospheric Physics, Johannes Gutenberg University Mainz, Mainz, Germany
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Cited
18 citations as recorded by crossref.
- Seasonal variation in aerosol composition and concentration upon transport from the outdoor to indoor environment A. Avery et al. https://doi.org/10.1039/C8EM00471D
- Characterization of Single Particles in Urban Atmospheric Aerosols Over Nagoya Based on Mass Spectral Analysis T. Mihara & M. Mochida https://doi.org/10.1080/02786826.2015.1096010
- Single-particle measurements of bouncing particles and in situ collection efficiency from an airborne aerosol mass spectrometer (AMS) with light-scattering detection J. Liao et al. https://doi.org/10.5194/amt-10-3801-2017
- Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. https://doi.org/10.5194/acp-15-8217-2015
- Quantification of black carbon mixing state from traffic: implications for aerosol optical properties M. Willis et al. https://doi.org/10.5194/acp-16-4693-2016
- A new method to quantify mineral dust and other aerosol species from aircraft platforms using single-particle mass spectrometry K. Froyd et al. https://doi.org/10.5194/amt-12-6209-2019
- Design, characterization, and first field deployment of a novel aircraft-based aerosol mass spectrometer combining the laser ablation and flash vaporization techniques A. Hünig et al. https://doi.org/10.5194/amt-15-2889-2022
- Resolving anthropogenic aerosol pollution types – deconvolution and exploratory classification of pollution events M. Äijälä et al. https://doi.org/10.5194/acp-17-3165-2017
- Leveraging machine learning to enhance aerosol classification using Single-Particle Mass Spectrometry J. Perez Chavez et al. https://doi.org/10.5194/amt-19-2575-2026
- Organic Aerosol Particle Chemical Properties Associated With Residential Burning and Fog in Wintertime San Joaquin Valley (Fresno) and With Vehicle and Firework Emissions in Summertime South Coast Air Basin (Fontana) C. Chen et al. https://doi.org/10.1029/2018JD028374
- Volatile and intermediate volatility organic compounds in suburban Paris: variability, origin and importance for SOA formation W. Ait-Helal et al. https://doi.org/10.5194/acp-14-10439-2014
- Mixing state of carbonaceous aerosol in an urban environment: single particle characterization using the soot particle aerosol mass spectrometer (SP-AMS) A. Lee et al. https://doi.org/10.5194/acp-15-1823-2015
- Optical photothermal infrared spectroscopy for nanochemical analysis of pharmaceutical dry powder aerosols D. Khanal et al. https://doi.org/10.1016/j.ijpharm.2022.122563
- ACTRIS ACSM intercomparison – Part 1: Reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with co-located instruments V. Crenn et al. https://doi.org/10.5194/amt-8-5063-2015
- Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium A. Lee et al. https://doi.org/10.5194/acp-16-5561-2016
- Peak-fitting and integration imprecision in the Aerodyne aerosol mass spectrometer: effects of mass accuracy on location-constrained fits J. C. Corbin et al. https://doi.org/10.5194/amt-8-4615-2015
- Contribution of bacteria-like particles to PM2.5 aerosol in urban and rural environments R. Wolf et al. https://doi.org/10.1016/j.atmosenv.2017.04.001
- Constructing a data-driven receptor model for organic and inorganic aerosol – a synthesis analysis of eight mass spectrometric data sets from a boreal forest site M. Äijälä et al. https://doi.org/10.5194/acp-19-3645-2019
18 citations as recorded by crossref.
- Seasonal variation in aerosol composition and concentration upon transport from the outdoor to indoor environment A. Avery et al. https://doi.org/10.1039/C8EM00471D
- Characterization of Single Particles in Urban Atmospheric Aerosols Over Nagoya Based on Mass Spectral Analysis T. Mihara & M. Mochida https://doi.org/10.1080/02786826.2015.1096010
- Single-particle measurements of bouncing particles and in situ collection efficiency from an airborne aerosol mass spectrometer (AMS) with light-scattering detection J. Liao et al. https://doi.org/10.5194/amt-10-3801-2017
- Particulate matter, air quality and climate: lessons learned and future needs S. Fuzzi et al. https://doi.org/10.5194/acp-15-8217-2015
- Quantification of black carbon mixing state from traffic: implications for aerosol optical properties M. Willis et al. https://doi.org/10.5194/acp-16-4693-2016
- A new method to quantify mineral dust and other aerosol species from aircraft platforms using single-particle mass spectrometry K. Froyd et al. https://doi.org/10.5194/amt-12-6209-2019
- Design, characterization, and first field deployment of a novel aircraft-based aerosol mass spectrometer combining the laser ablation and flash vaporization techniques A. Hünig et al. https://doi.org/10.5194/amt-15-2889-2022
- Resolving anthropogenic aerosol pollution types – deconvolution and exploratory classification of pollution events M. Äijälä et al. https://doi.org/10.5194/acp-17-3165-2017
- Leveraging machine learning to enhance aerosol classification using Single-Particle Mass Spectrometry J. Perez Chavez et al. https://doi.org/10.5194/amt-19-2575-2026
- Organic Aerosol Particle Chemical Properties Associated With Residential Burning and Fog in Wintertime San Joaquin Valley (Fresno) and With Vehicle and Firework Emissions in Summertime South Coast Air Basin (Fontana) C. Chen et al. https://doi.org/10.1029/2018JD028374
- Volatile and intermediate volatility organic compounds in suburban Paris: variability, origin and importance for SOA formation W. Ait-Helal et al. https://doi.org/10.5194/acp-14-10439-2014
- Mixing state of carbonaceous aerosol in an urban environment: single particle characterization using the soot particle aerosol mass spectrometer (SP-AMS) A. Lee et al. https://doi.org/10.5194/acp-15-1823-2015
- Optical photothermal infrared spectroscopy for nanochemical analysis of pharmaceutical dry powder aerosols D. Khanal et al. https://doi.org/10.1016/j.ijpharm.2022.122563
- ACTRIS ACSM intercomparison – Part 1: Reproducibility of concentration and fragment results from 13 individual Quadrupole Aerosol Chemical Speciation Monitors (Q-ACSM) and consistency with co-located instruments V. Crenn et al. https://doi.org/10.5194/amt-8-5063-2015
- Single-particle characterization of biomass burning organic aerosol (BBOA): evidence for non-uniform mixing of high molecular weight organics and potassium A. Lee et al. https://doi.org/10.5194/acp-16-5561-2016
- Peak-fitting and integration imprecision in the Aerodyne aerosol mass spectrometer: effects of mass accuracy on location-constrained fits J. C. Corbin et al. https://doi.org/10.5194/amt-8-4615-2015
- Contribution of bacteria-like particles to PM2.5 aerosol in urban and rural environments R. Wolf et al. https://doi.org/10.1016/j.atmosenv.2017.04.001
- Constructing a data-driven receptor model for organic and inorganic aerosol – a synthesis analysis of eight mass spectrometric data sets from a boreal forest site M. Äijälä et al. https://doi.org/10.5194/acp-19-3645-2019
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