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Application of the mobile aerosol lung deposition apparatus (MALDA) on estimation of ultrafine welding fume respiratory deposition.



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  • Description:
    In this study, a mobile aerosol lung deposition apparatus (MALDA) that utilized a set of physiologically representative human airway replicas with different numbers of airway generations was developed. Laboratory evaluation tests were conducted using ultrafine welding fume particles. The ultrafine welding fume particles were generated in a welding fume chamber and delivered to the MALDA for respiratory deposition experiments. A differential method was adopted to calculate the deposition of ultrafine welding fumes in the human tracheobronchial airways. The estimation of the respiratory deposition was facilitated by an empirical model developed according to the experimental data acquired. The estimated cumulative respiratory deposition ranged from approximately 9% to 31% for ultrafine welding fume particles between 10 nm and 100 nm in diameter. This finding indicates the feasibility and suitability of applying MALDA as a useful tool for on-site workplace respiratory deposition measurement for other workplace ultrafine particles. Description provided by NIOSH
  • Subjects:
  • Keywords:
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • NIOSHTIC Number:
    nn:20065477
  • Citation:
    Proceedings of the AAAR 37th Annual Conference, October 14-18, 2019, Portland, Oregon. Mount Laurel, NJ: American Association for Aerosol Research, 2019 Oct; :122
  • Federal Fiscal Year:
    2020
  • Performing Organization:
    University of Texas Health Science Center, Houston
  • Peer Reviewed:
    False
  • Start Date:
    20050701
  • Source Full Name:
    Proceedings of the AAAR 37th Annual Conference, October 14-18, 2019, Portland, Oregon
  • End Date:
    20250630
  • Download URL:
  • File Type:
    Filetype[PDF - 184.61 KB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:f35b744ca75479d7447c9242c1c96569476374985c871a68cfa16432cbb3e9c155bc42f85b62ebba95bcf720af431fa87bab6b1d6b07431ec9bf24ecf07cf21b
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