Articles | Volume 14, issue 12
https://doi.org/10.5194/acp-14-6289-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-14-6289-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Jun 2014
Research article |
| 25 Jun 2014
Single particle diversity and mixing state measurements
R. M. Healy
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College Street, Toronto, Ontario, Canada
Department of Chemistry and Environmental Research Institute, University College Cork, Ireland
N. Riemer
University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, IL, USA
J. C. Wenger
Department of Chemistry and Environmental Research Institute, University College Cork, Ireland
M. Murphy
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College Street, Toronto, Ontario, Canada
M. West
University of Illinois at Urbana-Champaign, Department of Mechanical Science and Engineering, Urbana, IL, USA
L. Poulain
Leibniz Institute for Tropospheric Research, Leipzig, Germany
A. Wiedensohler
Leibniz Institute for Tropospheric Research, Leipzig, Germany
I. P. O'Connor
Department of Chemistry and Environmental Research Institute, University College Cork, Ireland
E. McGillicuddy
Department of Chemistry and Environmental Research Institute, University College Cork, Ireland
J. R. Sodeau
Department of Chemistry and Environmental Research Institute, University College Cork, Ireland
G. J. Evans
Southern Ontario Centre for Atmospheric Aerosol Research, University of Toronto, 200 College Street, Toronto, Ontario, Canada
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46 citations as recorded by crossref.
- Extending surface enhanced Raman spectroscopy (SERS) of atmospheric aerosol particles to the accumulation mode (150–800 nm) P. Tirella et al. 10.1039/C8EM00276B
- Methodology for quantifying the volatile mixing state of an aerosol M. Dickau et al. 10.1080/02786826.2016.1185509
- Black carbon absorption at the global scale is affected by particle-scale diversity in composition L. Fierce et al. 10.1038/ncomms12361
- AeroMix v1.0.1: a Python package for modeling aerosol optical properties and mixing states S. Raj et al. 10.5194/gmd-17-6379-2024
- Chemical imaging of ambient aerosol particles: Observational constraints on mixing state parameterization R. O'Brien et al. 10.1002/2015JD023480
- Mixing state evolution of agglomerating particles in an aerosol chamber: Comparison of measurements and particle-resolved simulations C. Shou et al. 10.1080/02786826.2019.1661959
- Evolution of refractory black carbon mixing state in an urban environment S. Kasparoglu et al. 10.1016/j.atmosenv.2024.120651
- Evaluating the Impacts of Cloud Processing on Resuspended Aerosol Particles After Cloud Evaporation Using a Particle‐Resolved Model Y. Yao et al. 10.1029/2021JD034992
- Local and Regional Components of Aerosol in a Heavily Trafficked Street Canyon in Central London Derived from PMF and Cluster Analysis of Single-Particle ATOFMS Spectra C. Giorio et al. 10.1021/es506249z
- Development of aerosol optical properties for improving the MESSy photolysis module in the GEM-MACH v2.4 air quality model and application for calculating photolysis rates in a biomass burning plume M. Majdzadeh et al. 10.5194/gmd-15-219-2022
- Estimating Submicron Aerosol Mixing State at the Global Scale With Machine Learning and Earth System Modeling Z. Zheng et al. 10.1029/2020EA001500
- Simulation of particle diversity and mixing state over Greater Paris: a model–measurement inter-comparison S. Zhu et al. 10.1039/C5FD00175G
- Unified theoretical framework for black carbon mixing state allows greater accuracy of climate effect estimation J. Wang et al. 10.1038/s41467-023-38330-x
- Metrics to quantify the importance of mixing state for CCN activity J. Ching et al. 10.5194/acp-17-7445-2017
- Elemental Mixing State of Aerosol Particles Collected in Central Amazonia during GoAmazon2014/15 M. Fraund et al. 10.3390/atmos8090173
- A conceptual framework for mixing structures in individual aerosol particles W. Li et al. 10.1002/2016JD025252
- Influences of Primary Emission and Secondary Coating Formation on the Particle Diversity and Mixing State of Black Carbon Particles A. Lee et al. 10.1021/acs.est.9b03064
- Radiative absorption enhancements by black carbon controlled by particle-to-particle heterogeneity in composition L. Fierce et al. 10.1073/pnas.1919723117
- Aerosol Mixing State: Measurements, Modeling, and Impacts N. Riemer et al. 10.1029/2018RG000615
- Raman spectra of atmospheric aerosol particles: Clusters and time-series for a 22.5 hr sampling period D. Doughty & S. Hill 10.1016/j.jqsrt.2020.106907
- Moving beyond Fine Particle Mass: High-Spatial Resolution Exposure to Source-Resolved Atmospheric Particle Number and Chemical Mixing State Q. Ye et al. 10.1289/EHP5311
- Quantifying the structural uncertainty of the aerosol mixing state representation in a modal model Z. Zheng et al. 10.5194/acp-21-17727-2021
- Application and Progress of Single Particle Aerosol Time-of-Flight Mass Spectrometry in Fine Particulate Matter Research J. CAI et al. 10.1016/S1872-2040(15)60825-8
- Quantifying errors in the aerosol mixing-state index based on limited particle sample size J. Gasparik et al. 10.1080/02786826.2020.1804523
- Distinct high molecular weight organic compound (HMW-OC) types in aerosol particles collected at a coastal urban site M. Dall’Osto et al. 10.1016/j.atmosenv.2017.10.007
- Tracing the evolution of morphology and mixing state of soot particles along with the movement of an Asian dust storm L. Xu et al. 10.5194/acp-20-14321-2020
- Particulate matter (PM) episodes at a suburban site in Hong Kong: evolution of PM characteristics and role of photochemistry in secondary aerosol formation Y. Qin et al. 10.5194/acp-16-14131-2016
- The diverse chemical mixing state of aerosol particles in the southeastern United States A. Bondy et al. 10.5194/acp-18-12595-2018
- Characteristics of volatile organic compounds and secondary organic aerosol pollution in different functional areas of petrochemical industrial cities in Northwest China Y. Yang et al. 10.1016/j.scitotenv.2022.159903
- Aerosol mixing state revealed by transmission electron microscopy pertaining to cloud formation and human airway deposition J. Ching et al. 10.1038/s41612-019-0081-9
- Quantifying the effects of mixing state on aerosol optical properties Y. Yao et al. 10.5194/acp-22-9265-2022
- Predicting hygroscopic growth using single particle chemical composition estimates R. Healy et al. 10.1002/2014JD021888
- Sources of particulate matter components in the Athabasca oil sands region: investigation through a comparison of trace element measurement methodologies C. Phillips-Smith et al. 10.5194/acp-17-9435-2017
- A field measurement based scaling approach for quantification of major ions, organic carbon, and elemental carbon using a single particle aerosol mass spectrometer Y. Zhou et al. 10.1016/j.atmosenv.2016.08.054
- Spatial Variability of Sources and Mixing State of Atmospheric Particles in a Metropolitan Area Q. Ye et al. 10.1021/acs.est.8b01011
- Aerosol Mass Spectrometer for Simultaneous Detection of Polyaromatic Hydrocarbons and Inorganic Components from Individual Particles J. Passig et al. 10.1021/acs.analchem.7b01207
- Machine Learning to Predict the Global Distribution of Aerosol Mixing State Metrics M. Hughes et al. 10.3390/atmos9010015
- Reducing paving emissions and workers' exposure using novel mastic asphalt mixtures F. Weiss et al. 10.1016/j.buildenv.2018.03.060
- Explicit stochastic advection algorithms for the regional-scale particle-resolved atmospheric aerosol model WRF-PartMC (v1.0) J. Curtis et al. 10.5194/gmd-17-8399-2024
- Optical trapping and light scattering in atmospheric aerosol science A. Rafferty et al. 10.1039/D2CP05301B
- Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges Q. Jin et al. 10.1016/j.earscirev.2021.103562
- A Review of the Representation of Aerosol Mixing State in Atmospheric Models R. Stevens & A. Dastoor 10.3390/atmos10040168
- Characterising mass-resolved mixing state of black carbon in Beijing using a morphology-independent measurement method C. Yu et al. 10.5194/acp-20-3645-2020
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- Chemical composition of radiolytically formed particles using single-particle mass spectrometry A. Wonaschuetz et al. 10.1016/j.jaerosci.2017.07.012
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