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Details

Autor(en) / Beteiligte
Titel
An experimental method for efficiently evaluating the size-resolved sampling efficiency of liquid-absorption aerosol samplers
Ist Teil von
  • Scientific reports, 2022-03, Vol.12 (1), p.4745-4745, Article 4745
Ort / Verlag
England: Nature Publishing Group
Erscheinungsjahr
2022
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • Aerosol samplers are critical tools for studying indoor and outdoor aerosols. Development and evaluation of samplers is often labor-intensive and time-consuming due to the need to use monodisperse aerosols spanning a range of sizes. This study develops a rapid experimental methodology using polydisperse solid aerosols to evaluate size-resolved aerosol-to-aerosol (AtoA) and aerosol-to-hydrosol (AtoH) sampling efficiencies. Arizona Test Dust (diameter 0.5-20 µm) was generated and dispersed into an aerosol test chamber and two candidate samplers were tested. For the AtoA test, aerosols upstream and downstream of a sampler were measured using an online aerodynamic particle sizer. For the AtoH test, aerosols collected in sampling medium were mixed with a reference sample and then measured by the laser diffraction method. The experimental methodology were validated as an impressive time-saving procedure, with reasonable spatial uniformity and time stability of aerosols in the test chamber and an acceptable accuracy of absolute mass quantification of collected particles. Evaluation results showed that the AGI-30 and the BioSampler sampler had similar size-resolved sampling efficiencies and that efficiencies decreased with decreasing sampling flow rate. The combined evaluation of AtoA and AtoH efficiency provided more comprehensive performance indicators than either test alone. The experimental methodology presented here can facilitate the design and choice of aerosol sampler.
Sprache
Englisch
Identifikatoren
ISSN: 2045-2322
eISSN: 2045-2322
DOI: 10.1038/s41598-022-08718-8
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_5987ba7ee2634954a43d7f6efc121afd

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