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Coury, Charity, Dillner, Ann M. (2008) A method to quantify organic functional groups and inorganic compounds in ambient aerosols using attenuated total reflectance FTIR spectroscopy and multivariate chemometric techniques. Atmospheric Environment, 42 (23). 5923-5932 doi:10.1016/j.atmosenv.2008.03.026

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Reference TypeJournal (article/letter/editorial)
TitleA method to quantify organic functional groups and inorganic compounds in ambient aerosols using attenuated total reflectance FTIR spectroscopy and multivariate chemometric techniques
JournalAtmospheric Environment
AuthorsCoury, CharityAuthor
Dillner, Ann M.Author
Year2008 (July)Volume42
Issue23
PublisherElsevier BV
DOIdoi:10.1016/j.atmosenv.2008.03.026Search in ResearchGate
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Mindat Ref. ID9608630Long-form Identifiermindat:1:5:9608630:8
GUID0
Full ReferenceCoury, Charity, Dillner, Ann M. (2008) A method to quantify organic functional groups and inorganic compounds in ambient aerosols using attenuated total reflectance FTIR spectroscopy and multivariate chemometric techniques. Atmospheric Environment, 42 (23). 5923-5932 doi:10.1016/j.atmosenv.2008.03.026
Plain TextCoury, Charity, Dillner, Ann M. (2008) A method to quantify organic functional groups and inorganic compounds in ambient aerosols using attenuated total reflectance FTIR spectroscopy and multivariate chemometric techniques. Atmospheric Environment, 42 (23). 5923-5932 doi:10.1016/j.atmosenv.2008.03.026
In(2008, July) Atmospheric Environment Vol. 42 (23) Elsevier BV

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Coury, Charity, Dillner, Ann M. (2009) ATR-FTIR characterization of organic functional groups and inorganic ions in ambient aerosols at a rural site. Atmospheric Environment, 43 (4). 940-948 doi:10.1016/j.atmosenv.2008.10.056
Coury, Charity, Dillner, Ann M. (2007) Trends and sources of particulate matter in the Superstition Wilderness using air trajectory and aerosol cluster analysis. Atmospheric Environment, 41 (40). 9309-9323 doi:10.1016/j.atmosenv.2007.09.011
Kamruzzaman, Mohammed, Takahama, Satoshi, Dillner, Ann M. (2018) Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network. Atmospheric Environment, 172. 124-132 doi:10.1016/j.atmosenv.2017.10.053
Kamruzzaman, Mohammed, Takahama, Satoshi, Dillner, Ann M. (2018) Corrigendum to “Quantification of amine functional groups and their influence on OM/OC in the IMPROVE network” [Atmos. Environ. 172C (2018) 124–132]. Atmospheric Environment, 189. 275-277 doi:10.1016/j.atmosenv.2018.05.050
Du, Ke, Wang, Yang, Chen, Bing, Wang, Kai, Chen, Jinsheng, Zhang, Fuwang (2011) Digital photographic method to quantify black carbon in ambient aerosols. Atmospheric Environment, 45 (39). 7113-7120 doi:10.1016/j.atmosenv.2011.09.035
Ruthenburg, Travis C., Perlin, Pesach C., Liu, Victor, McDade, Charles E., Dillner, Ann M. (2014) Determination of organic matter and organic matter to organic carbon ratios by infrared spectroscopy with application to selected sites in the IMPROVE network. Atmospheric Environment, 86. 47-57 doi:10.1016/j.atmosenv.2013.12.034
Boreson, Justin, Dillner, Ann M., Peccia, Jordan (2004) Correlating bioaerosol load with PM2.5 and PM10cf concentrations: a comparison between natural desert and urban-fringe aerosols. Atmospheric Environment, 38 (35). 6029-6041 doi:10.1016/j.atmosenv.2004.06.040
Dillner, Ann M., Phuah, Chin H., Turner, Jay R. (2009) Effects of post-sampling conditions on ambient carbon aerosol filter measurements. Atmospheric Environment, 43 (37). 5937-5943 doi:10.1016/j.atmosenv.2009.08.009
Olson, David A., Norris, Gary A. (2008) Chemical characterization of ambient particulate matter near the World Trade Center: Source apportionment using organic and inorganic source markers. Atmospheric Environment, 42 (31). 7310-7315 doi:10.1016/j.atmosenv.2008.07.007
Gebel, M. E., Kaleuati, M. A., Finlayson-Pitts, B. J. (2003) Measurement of Organics Using Three FTIR Techniques: Absorption, Attenuated Total Reflectance, and Diffuse Reflectance. Journal of Chemical Education, 80. 672pp. doi:10.1021/ed080p672
Indresand, Hege, Dillner, Ann M. (2012) Experimental characterization of sulfur interference in IMPROVE aluminum and silicon XRF data. Atmospheric Environment, 61. 140-147 doi:10.1016/j.atmosenv.2012.06.079
 
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