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: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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Month	HTML	PDF	XML	Total
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Nov 2015	34	79	6	119
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Apr 2016	5	46	5	56
May 2016	14	38	1	53
Jun 2016	12	16	4	32
Jul 2016	12	21	8	41
Aug 2016	20	24	3	47
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Oct 2016	16	21	0	37
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Apr 2023	36	39	1	76
May 2023	72	41	0	113
Jun 2023	76	33	0	109
Jul 2023	56	38	2	96
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Oct 2023	176	63	1	240
Nov 2023	149	27	1	177
Dec 2023	69	31	2	102
Jan 2024	79	34	2	115
Feb 2024	54	36	4	94
Mar 2024	84	47	3	134
Apr 2024	78	60	5	143
May 2024	45	56	3	104
Jun 2024	86	56	4	146
Jul 2024	43	60	1	104
Aug 2024	46	51	1	98
Sep 2024	38	42	2	82
Oct 2024	49	62	2	113
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Dec 2024	40	31	1	72
Jan 2025	40	29	5	74
Feb 2025	54	23	1	78
Mar 2025	58	36	2	96
Apr 2025	59	31	1	91
May 2025	54	27	1	82
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Aug 2025	66	32	3	101
Sep 2025	82	26	0	108
Oct 2025	35	44	1	80
Nov 2025	68	26	4	98

Cumulative views and downloads (calculated since 17 Jul 2014)

Month	HTML	PDF	XML	Total
Jul 2014	112	61	1	174
Aug 2014	34	31	0	65
Sep 2014	26	24	3	53
Oct 2014	43	40	8	91
Nov 2014	18	30	2	50
Dec 2014	15	28	2	45
Jan 2015	41	36	2	79
Feb 2015	47	47	4	98
Mar 2015	23	30	1	54
Apr 2015	35	39	1	75
May 2015	22	28	3	53
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Jul 2015	41	40	0	81
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Oct 2015	22	74	4	100
Nov 2015	34	79	6	119
Dec 2015	14	69	1	84
Jan 2016	30	77	2	109
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Apr 2016	5	46	5	56
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Jul 2016	12	21	8	41
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Oct 2022	37	32	0	69
Nov 2022	32	21	0	53
Dec 2022	20	13	1	34
Jan 2023	35	30	3	68
Feb 2023	36	25	3	64
Mar 2023	41	45	3	89
Apr 2023	36	39	1	76
May 2023	72	41	0	113
Jun 2023	76	33	0	109
Jul 2023	56	38	2	96
Aug 2023	60	41	3	104
Sep 2023	113	57	1	171
Oct 2023	176	63	1	240
Nov 2023	149	27	1	177
Dec 2023	69	31	2	102
Jan 2024	79	34	2	115
Feb 2024	54	36	4	94
Mar 2024	84	47	3	134
Apr 2024	78	60	5	143
May 2024	45	56	3	104
Jun 2024	86	56	4	146
Jul 2024	43	60	1	104
Aug 2024	46	51	1	98
Sep 2024	38	42	2	82
Oct 2024	49	62	2	113
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Jan 2025	40	29	5	74
Feb 2025	54	23	1	78
Mar 2025	58	36	2	96
Apr 2025	59	31	1	91
May 2025	54	27	1	82
Jun 2025	76	25	3	104
Jul 2025	71	35	3	109
Aug 2025	66	32	3	101
Sep 2025	82	26	0	108
Oct 2025	35	44	1	80
Nov 2025	68	26	4	98

Latest update: 24 Nov 2025

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.