28 Jul 2023
 | 28 Jul 2023

Oxidative potential apportionment of atmospheric PM1: A new approach combining high-sensitive online analysers for chemical composition and offline OP measurement technique

Julie Camman, Benjamin Chazeau, Nicolas Marchand, Amandine Durand, Grégory Gille, Ludovic Lanzi, Jean-Luc Jaffrezo, Henri Wortham, and Gaëlle Uzu

Abstract. Source apportionment models were widely used and/or atmospheric chemical processes. These technics are necessary to target the sources affecting air quality and to design effective mitigation strategies. More, the evaluation of the toxicity of airborne particulate matter gains interest as the PM concentrations classically measured appear insufficient to characterise the human health impact. Oxidative Potential (OP) measurement have recently been developed to quantify the PM capability to induce an oxidative imbalance in lungs. As a result, this measurement unit could be a better proxy than PM mass concentration to represent PM toxicity. In the present study, two source apportionment analyses were performed using Positive Matrix Factorization (PMF) from organic aerosol (OA) mass spectra measured at 15 min time resolution using a Time of Flight-Aerosol Chemical Speciation Monitor (ToF-ACSM) and from 19 trace elements measured on an hour basis using an online metals analyser (Xact). The field measurements were carried out in summer 2018. While it is common to perform PMF studies individually on ACSM and more recently on Xact datasets, here we used a two-step methodology leading to a complete PM1 source apportionment. The outputs from both OA PMF and Xact PMF, the inorganic species concentrations from the ACSM and the black carbon (BC) fractions (fossil fuel and wood burning) measured using an Aethalometer (AE33) were gathered into a single dataset and subjected to a combined PMF analysis. In overall, 8 factors were identified, each of them corresponding to a more precise source than performing the previous single PMF analyses. The results show that besides the high contribution of secondary ammonium sulfate (28 %) and organic nitrate (19 %), about 50 % of PM1 were originated from combustion processes (traffic, shipping, industrial, cooking and biomass burning emissions). Simultaneously, PM1 filters were collected during the experimental period on a 4 hours sampling basis. On these filters, two acellular OP assays were measured (dithiothreitiol; OPDTT and ascorbic acid; OPAA) and an inversion method is applied on factors issued from all PMFs to assess contributions of the PM sources to the OP. This work highlights the sensitivity of OPAA toward industrial and dust resuspension sources and those of OPDTT toward secondary ammonium sulfate, shipping and biomass burning.

Julie Camman et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-1441', Anonymous Referee #1, 21 Aug 2023
    • AC1: 'Reply on RC1', Julie Camman, 06 Dec 2023
  • RC2: 'Comment on egusphere-2023-1441', Anonymous Referee #2, 08 Sep 2023
    • AC2: 'Reply on RC2', Julie Camman, 06 Dec 2023
    • AC3: 'Reply on RC2', Julie Camman, 06 Dec 2023

Julie Camman et al.


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Short summary
Fine particle pollution is a major health issue in the city of Marseille which is subject to numerous pollution sources. Sampling carried out during the summer enabled a fine characterization of the PM1 sources and their oxidative potential, a promising new metric as a proxy for health impact. PM1 came mainly from combustion sources, secondary ammonium sulfate and organic nitrate, while oxidative potential of PM1 came from these sources and also from resuspended dust in the atmosphere.