@article{fdi:010073638,
  title = {{S}ingle-particle analysis of industrial emissions brings new insights for health risk assessment of {PM}},
  author = {{D}appe, {V}. and {U}zu, {G}a{\¨e}lle and {S}chreck, {E}. and {W}u, {L}. and {L}i, {X}. and {D}umat, {C}. and {M}oreau, {M}. and {H}anoune, {B}. and {R}o, {C}. {U}. and {S}obanska, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}articulate matter ({PM}) emitted by human activities presents a significant risk for human health, especially through inhalation. {I}n this work, coarse and ultrafine particles ({PM}10 and {PM}1) were collected near a lead battery recycling facility, recognized as an emission source of hazardous particles. {T}hese particles were previously found to have adverse health effects. {O}ur multiple imaging analyses by {SEM}-{EDX} and {R}aman microspectrometry showed that {P}b-rich particles constituted the major portion of the fine size fractions ({PM}1). {T}he surface analysis of particles performed by {T}o{F}-{SIMS} evidenced soluble {P}b-{C}l rich species on the particle surface. {T}he particle composition and chemical mixing state differed from {PM} at source emission. {A}lthough the annual mean lead concentration near the plant meets {E}.{U}. air quality standards, the size of the {P}b-rich particles and the presence of soluble metal compounds on the particle surface may also induce harmful outcomes. {T}he current risk assessment models only consider the total concentration of the element without dealing with speciation, morphology or surface composition of the particles. {S}ingle particle analysis could become useful in providing a more accurate assessment of human health risk and in developing more comprehensive regulations on air quality.},
  keywords = {{P}articulate matter ; {L}ead ; {S}peciation ; {S}ingle particle analysis ; {H}uman risk assessment ; {FRANCE} ; {TOULOUSE}},
  booktitle = {},
  journal = {{A}tmospheric {P}ollution {R}esearch},
  volume = {9},
  numero = {4},
  pages = {697--704},
  ISSN = {1309-1042},
  year = {2018},
  DOI = {10.1016/j.apr.2018.01.016},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073638},
}