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)

Fang, T.; Verma, V.; Guo, H.; King, L. E.; Edgerton, E. S.; Weber, R. J.

doi:https://doi.org/10.5194/amt-8-471-2015

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.

https://doi.org/10.5194/amt-8-471-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 1

Research article

|

29 Jan 2015

Research article |

| 29 Jan 2015

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)

T. Fang, V. Verma, H. Guo, L. E. King, E. S. Edgerton, and R. J. Weber

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Final revised paper (published on 29 Jan 2015)
Supplement to the final revised paper
Preprint (discussion started on 17 Jul 2014)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC C1948: 'amt-2014-158 - 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 Epidemiolog', Anonymous Referee #1, 29 Jul 2014
RC C3374: 'review', Anonymous Referee #2, 29 Oct 2014
RC C3478: 'Review on AMTD 7-7245-2014', Anonymous Referee #3, 03 Nov 2014
AC C3873: 'Author's responses to all comments', Ting Fang, 22 Nov 2014

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.