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Experimental characterization of sulfur interference in IMPROVE aluminum and silicon XRF data

Indresand H and Dillner A.M. (2012) Experimental characterization of sulfur interference in IMPROVE aluminum and silicon XRF data, Atmospheric Environment, 61, 140-147.

Full pdf

Preparation of sulfur reference materials that reproduce atmospheric particulate matter sample characteristics for XRF calibration

Indresand H, White W. H, Trzepla K and Dillner A. M. (2013) Preparation of sulfur reference materials that reproduce atmospheric particulate matter sample characteristics for XRF calibration, X-Ray Spectroscopy, DOI 10.1002/xrs.2456.

ATR-FTIR Characterization of Organic Functional Groups and Inorganic Ions in Ambient Aerosols at a Rural Site

Coury, C. Dillner, A.M., ATR-FTIR Characterization of Organic Functional Groups and Inorganic Ions in Ambient Aerosols at a Rural Site, Atmospheric Environment, 43, 940–948, 2009.

Full pdf

Determination of Organic Mass and Organic Mass to Organic Carbon Ratios by Infrared Spectroscopy with Application to Selected Sites in the IMPROVE Network

Ruthenburg, T.C., Perlin, P. C., Liu, V., , McDade, C. E., Dillner, A. M.,  Determination of Organic Mass and Organic Mass to Organic Carbon Ratios by Infrared Spectroscopy with Application to Selected Sites in the IMPROVE Network. Atmospheric Environment, 86, 47-57, 10.1016/j.atmosenv.2013.12.034, 2014.

FT-IR quantification of the carbonyl functional group in aqueous-phase secondary organic aerosol from phenols

George, K. M., Ruthenburg, T.C., Smith, J., Yu, L., Zhang, Q., Anastasio, C., Dillner, A. M., FT-IR quantification of the carbonyl functional group in aqueous-phase secondary organic aerosol from phenols. Atmospheric Environment 100 (2015) 230-237.

Full pdf

Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy

Takahama, S., Dillner, A. M., Model selection for partial least squares calibration and implications for analysis of atmospheric organic aerosol samples with mid-infrared spectroscopy. Journal of Chemometrics, DOI: 10.1002/cem.2761, 2015.

Full pdf

Predicting Ambient Aerosol Thermal Optical Reflectance (TOR) Measurements from Infrared Spectra:  Elemental Carbon.Atmospheric Measurement Techniques

Dillner, A. M., Takahama, S., Predicting Ambient Aerosol Thermal Optical Reflectance (TOR) Measurements from Infrared Spectra:  Elemental Carbon.Atmospheric Measurement Techniques, 8, 4013-4023, 2015.

Full pdf

Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites

Reggente, M., Dillner, A. M., Takahama, S., Predicting ambient aerosol thermal-optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites. Atmospheric Measurement Techniques Discussions, 2016, in revision.

Identifying sources of uncertainty from the inter-species covariance of measurement errors

Hyslop N.P and White W.H. (2011) Identifying sources of uncertainty from the inter-species covariance of measurement errors, Environmental Science & Technology 45, 4030-4037.

Use of proton backscattering to determine the carbon and oxygen content in fine particle samples deposited on PTFE((CF2)(n)) membrane disk filters

Castaneda, C. M., L. L. Ashbaugh, and P. Wakabayashi (2010), Use of proton backscattering to determine the carbon and oxygen content in fine particle samples deposited on PTFE((CF2)(n)) membrane disk filters, J. Aerosol Sci., 41, 99-107.

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