@article{fdi:010090504,
  title = {{O}xidative potential apportionment of atmospheric {PM}1 : a new approach combining high-sensitive online analysers for chemical composition and offline {OP} measurement technique},
  author = {{C}amman, {J}. and {C}hazeau, {B}. and {M}archand, {N}. and {D}urand, {A}. and {G}ille, {G}. and {L}anzi, {L}. and {J}affrezo, {J}. {L}. and {W}ortham, {H}. and {U}zu, {G}a{\¨e}lle},
  editor = {},
  language = {{ENG}},
  abstract = {{S}ource apportionment models were widely used to successfully assign highly time-resolved aerosol data to specific emissions and/or atmospheric chemical processes. {T}hese techniques are necessary for targeting the sources affecting air quality and for designing effective mitigation strategies. {M}oreover, evaluation of the toxicity of airborne particulate matter is important since the classically measured particulate matter ({PM}) concentrations appear insufficient for characterizing the impact on human health. {O}xidative potential ({OP}) measurement has recently been developed to quantify the capability of {PM} to induce an oxidative imbalance in the lungs. {A}s a result, this measurement unit could be a better proxy than {PM} mass concentration to represent {PM} toxicity. {I}n the present study, two source apportionment analyses were performed using positive matrix factorization ({PMF}) from organic aerosol ({OA}) mass spectra measured at a 15 min time resolution using a time-of-flight aerosol chemical speciation monitor ({T}o{F}-{ACSM}) and from 19 trace elements measured on an hourly basis using an online metal analyser ({X}act 625i). {T}he field measurements were carried out in summer 2018. {W}hile it is common to perform {PMF} studies individually on {ACSM}s and more recently on {X}act datasets, here we used a two-step methodology leading to a complete {PM} 1 source apportionment. {T}he outputs from both {OA} {PMF} and {X}act {PMF}, the inorganic species concentrations from the {ACSM}, and the black carbon ({BC}) fractions (fossil fuel and wood burning) measured using an {A}ethalometer ({AE}33) were gathered into a single dataset and subjected to a combined {PMF} analysis. {O}verall, eight factors were identified, each of them corresponding to a more precise source than performing single {PMF} analyses. {T}he results show that besides the high contribution of secondary ammonium sulfate (28 %) and organic nitrate (19 %), about 50 % of {PM} 1 originated from distinct combustion sources, including emissions from traffic, shipping, industrial activities, cooking, and biomass burning. {S}imultaneously, {PM} 1 filters were collected during the experimental period on a 4 h sampling basis. {O}n these filters, two acellular {OP} assays were performed (dithiothreitol; {OP} {DTT} and ascorbic acid; {OP} {AA} ) and an inversion method was applied on factors issued from all {PMF}s to assess the contribution of the {PM} sources to the {OP}. {T}his work highlights the sensitivity of {OP} {AA} to industrial and dust resuspension sources and those of {OP} {DTT} to secondary ammonium sulfate, shipping, and biomass burning.},
  keywords = {{FRANCE}},
  booktitle = {},
  journal = {{A}tmospheric {C}hemistry and {P}hysics},
  volume = {24},
  numero = {5},
  pages = {3257--3278},
  ISSN = {1680-7316},
  year = {2024},
  DOI = {10.5194/acp-24-3257-2024},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090504},
}