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Quantifying functional group compositions of household fuel-burning emissions.
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- Atmospheric Measurement Techniques, 2024, v. 17, n. 8, p. 2401, doi. 10.5194/amt-17-2401-2024
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- Article
Stability assessment of organic sulfur and organosulfate compounds in filter samples for quantification by Fourier- transform infrared spectroscopy.
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- Atmospheric Measurement Techniques, 2023, v. 16, n. 14, p. 3515, doi. 10.5194/amt-16-3515-2023
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- Article
Quantifying Functional Group Compositions of Household Fuel Burning Emissions.
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- Atmospheric Measurement Techniques Discussions, 2023, p. 1, doi. 10.5194/amt-2023-90
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- Article
Stability assessment of organic sulfur and organosulfate c ompounds in filter samples for quantification by Fourier Transform-Infrared Spectroscopy.
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- Atmospheric Measurement Techniques Discussions, 2023, p. 1, doi. 10.5194/amt-2023-43
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- Article
Beyond the Ångström Exponent: Probing Additional Information in Spectral Curvature and Variability of In Situ Aerosol Hyperspectral (0.3–0.7 μm) Optical Properties.
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- Journal of Geophysical Research. Atmospheres, 2022, v. 127, n. 21, p. 1, doi. 10.1029/2022JD037201
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Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network.
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- Atmospheric Measurement Techniques, 2022, v. 15, n. 9, p. 2685, doi. 10.5194/amt-15-2685-2022
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- Article
Fragment ion–functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy.
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- Atmospheric Measurement Techniques, 2022, v. 15, n. 9, p. 2857, doi. 10.5194/amt-15-2857-2022
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- Article
Quantification of major particulate matter species from a single filter type using infrared spectroscopy - Application to a large-scale monitoring network.
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- Atmospheric Measurement Techniques Discussions, 2021, p. 1, doi. 10.5194/amt-2021-382
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- Article
Fragment ion-functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy.
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- Atmospheric Measurement Techniques Discussions, 2021, p. 1, doi. 10.5194/amt-2021-186
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- Article
Characterization of primary and aged wood burning and coal combustion organic aerosols in an environmental chamber and its implications for atmospheric aerosols.
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- Atmospheric Chemistry & Physics, 2021, v. 21, n. 13, p. 10273, doi. 10.5194/acp-21-10273-2021
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- Article
Estimating mean molecular weight, carbon number, and OM/OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network.
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- Atmospheric Measurement Techniques, 2021, v. 14, n. 7, p. 4805, doi. 10.5194/amt-14-4805-2021
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- Article
Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 2: Spatiotemporal trends.
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- Atmospheric Measurement Techniques, 2021, v. 14, n. 6, p. 4355, doi. 10.5194/amt-14-4355-2021
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- Article
Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States - Part 2: Spatiotemporal Trends.
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- Atmospheric Measurement Techniques Discussions, 2021, p. 1, doi. 10.5194/amt-2020-401
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- Article
Characterization of primary and aged wood burning and coal combustion organic aerosols in environmental chamber and its implications for atmospheric aerosols.
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- Atmospheric Chemistry & Physics Discussions, 2020, p. 1, doi. 10.5194/acp-2020-924
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- Article
Estimating mean molecular weight, carbon number, and OM/OC with mid-infrared spectroscopy in organic particulate matter samples from a monitoring network.
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- Atmospheric Measurement Techniques Discussions, 2020, p. 1, doi. 10.5194/amt-2020-79
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- Article
Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations.
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- Atmospheric Measurement Techniques, 2020, v. 13, n. 3, p. 1517, doi. 10.5194/amt-13-1517-2020
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Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: method development for probabilistic modeling of organic carbon and organic matter concentrations.
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- Atmospheric Measurement Techniques Discussions, 2019, p. 1, doi. 10.5194/amt-2019-333
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- Article
Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States – Part 1: Methods.
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- Atmospheric Measurement Techniques, 2019, v. 12, n. 10, p. 5391, doi. 10.5194/amt-12-5391-2019
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Quantifying organic matter and functional groups in particulate matter filter samples from the southeastern United States, part I: Methods.
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- Atmospheric Measurement Techniques Discussions, 2019, p. 1, doi. 10.5194/amt-2019-144
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- Article
Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: systematic intercomparison of calibration methods for US measurement network samples.
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- Atmospheric Measurement Techniques, 2019, v. 12, n. 4, p. 2287, doi. 10.5194/amt-12-2287-2019
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Atmospheric particulate matter characterization by Fourier transform infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks.
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- Atmospheric Measurement Techniques, 2019, v. 12, n. 1, p. 525, doi. 10.5194/amt-12-525-2019
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Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: functional group quantification in US measurement networks.
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- Atmospheric Measurement Techniques Discussions, 2018, p. 1, doi. 10.5194/amt-2018-331
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Atmospheric particulate matter characterization by Fourier Transform Infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks.
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- Atmospheric Measurement Techniques Discussions, 2018, p. 1, doi. 10.5194/amt-2018-70
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Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: sparse methods for statistical selection of relevant absorption bands.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 7, p. 3429, doi. 10.5194/amt-9-3429-2016
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An automated baseline correction protocol for infrared spectra of atmospheric aerosols collected on polytetrafluoroethylene (Teflon) filters.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 6, p. 2615, doi. 10.5194/amt-9-2615-2016
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Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites.
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- Atmospheric Measurement Techniques, 2016, v. 9, n. 2, p. 441, doi. 10.5194/amt-9-441-2016
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- Article
Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites.
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- Atmospheric Measurement Techniques Discussions, 2016, v. 9, n. 2, p. 441, doi. 10.5194/amt-9-441-2016
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Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy.
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- Journal of Chemometrics, 2015, v. 29, n. 12, p. 659, doi. 10.1002/cem.2761
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Molecular transformations of phenolic SOA during photochemical aging in the aqueous phase: competition among oligomerization, functionalization, and fragmentation.
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- Atmospheric Chemistry & Physics Discussions, 2015, v. 15, n. 20, p. 29673, doi. 10.5194/acpd-15-29673-2015
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Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites.
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- Atmospheric Measurement Techniques Discussions, 2015, v. 8, n. 11, p. 12433, doi. 10.5194/amtd-8-12433-2015
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Predicting ambient aerosol thermal-optical reflectance measurements from infrared spectra: elemental carbon.
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- Atmospheric Measurement Techniques, 2015, v. 8, n. 10, p. 4013, doi. 10.5194/amt-8-4013-2015
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- Article
Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: organic carbon.
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- Atmospheric Measurement Techniques, 2015, v. 8, n. 3, p. 1097, doi. 10.5194/amt-8-1097-2015
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Predicting ambient aerosol Thermal Optical Reflectance (TOR) measurements from infrared spectra: organic carbon.
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- Atmospheric Measurement Techniques Discussions, 2014, v. 7, n. 11, p. 10931, doi. 10.5194/amtd-7-10931-2014
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Preparation of sulfur reference materials that reproduce atmospheric particulate matter sample characteristics for XRF calibration.
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- XRS: X-ray Spectrometry, 2013, v. 42, n. 5, p. 359, doi. 10.1002/xrs.2456
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Clustering composition vectors using uncertainty information.
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- Environmetrics, 2007, v. 18, n. 8, p. 859, doi. 10.1002/env.847
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Size-resolved particulate matter composition in Beijing during pollution and dust events.
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- Journal of Geophysical Research. Atmospheres, 2006, v. 111, n. D5, p. n/a, doi. 10.1029/2005JD006400
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Mitogenic Responsiveness of Human T-Lymphocyte Subpopulations: Regulation by Suppressive Fc-Receptor-bearing T Cells and Influence of Fractionation Procedures.
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- Scandinavian Journal of Immunology, 1980, v. 12, n. 1, p. 13, doi. 10.1111/j.1365-3083.1980.tb00036.x
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Antibody Dependent Cellular Cytotoxicity and Mitogen Responsiveness of Human Peripheral Blood Lymphocytes Differing in Avidity for Sheep Erythrocytes.
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- Scandinavian Journal of Immunology, 1979, v. 10, n. 6, p. 525, doi. 10.1111/j.1365-3083.1979.tb01386.x
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Fractionation of Human Blood Lymphocytes on Helix pomatia A Haemagglutinin Coupled to Sepharose Beads.
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- Scandinavian Journal of Immunology, 1976, v. 5, p. 45
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The Interaction of Nonmitogenic and Mitogenic Lectins with T Lymphocytes: Association of Cellular Receptor Sites.
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- Scandinavian Journal of Immunology, 1976, v. 5, n. 1/2, p. 45, doi. 10.1111/j.1365-3083.1976.tb02991.x
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- Article