Dithiothreitol-based oxidative potential for airborne particulate matter: an estimation of the associated uncertainty

Oxidative stress is considered as one of the main mechanisms by which airborne particles produce adverse health effects. Several methods to estimate the oxidative potential (OP) of particulate matter (PM) have been proposed. Among them, the dithiothreitol (DTT) assay has gained popularity due to its...

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Veröffentlicht in:Environmental science and pollution research international 2020-08, Vol.27 (23), p.29672-29680
Hauptverfasser: Molina, Carolina, Andrade, Catalina, Manzano, Carlos A., Richard Toro, A., Verma, Vishal, Leiva-Guzmán, Manuel A.
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Sprache:eng
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Zusammenfassung:Oxidative stress is considered as one of the main mechanisms by which airborne particles produce adverse health effects. Several methods to estimate the oxidative potential (OP) of particulate matter (PM) have been proposed. Among them, the dithiothreitol (DTT) assay has gained popularity due to its simplicity and overall low implementation cost. Usually, the estimations of OP DTT are based on n -replicates of a set of samples and their associated standard deviation. However, interlaboratory comparisons of OP DTT can be difficult and lead to misinterpretations. This work presents an estimation of the total uncertainty for the OP DTT measurement of PM 10 and PM 2.5 samples collected in Santiago (Chile), based on recommendations by the Joint Committee for Guides in Metrology and Eurachem. The expanded uncertainty expressed as a percentage of the mass-normalized OP DTT measurements was 18.0% and 16.3% for PM 10 and PM 2.5 samples respectively. The dominating contributor to the total uncertainty was identified (i.e., DTT consumption rate, related to the regression and repeatability of experimental data), while the volumetric operations (i.e., pipettes) were also important. The results showed that, although the OP measured following the DTT assay has been successfully used to estimate the potential health impacts of airborne PM, uncertainty estimations must be considered before interpreting the results.
ISSN:0944-1344
1614-7499
DOI:10.1007/s11356-020-09508-3