Articles | Volume 8, issue 1
https://doi.org/10.5194/amt-8-471-2015
© Author(s) 2015. 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-8-471-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A semi-automated system for quantifying the oxidative potential of ambient particles in aqueous extracts using the dithiothreitol (DTT) assay: results from the Southeastern Center for Air Pollution and Epidemiology (SCAPE)
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
V. Verma
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
H. Guo
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
L. E. King
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
E. S. Edgerton
Atmospheric Research and Analysis, Inc., Cary, NC, USA
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA
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129 citations as recorded by crossref.
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Short summary
This work summarizes a newly developed semi-automated system for quantifying the oxidative potential of aerosol aqueous extracts using the dithiothreitol (DTT) assay. 500 sample analyses indicate that DTT activity in the southeast US is likely not dominated by a unique local source, and sources change with season. The unique large data set generated with the technique described in this paper allows new studies on DTT sources and investigating linkages between reactive oxygen species and health.
This work summarizes a newly developed semi-automated system for quantifying the oxidative...