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Inhalation Toxicology
International Forum for Respiratory Research
Volume 32, 2020 - Issue 13-14
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Research Articles

A numerical study of the effect of breathing mode and exposure conditions on the particle inhalation and deposition

, &
Pages 456-467 | Received 06 May 2020, Accepted 17 Oct 2020, Published online: 30 Oct 2020
 

Abstract

Objective

The exposure to airborne particles are of great concern in public health. The present study was aimed to clarify the effects of the breathing mode (nasal and oral inhalation) and exposure conditions on particle inhalation and deposition in human airway.

Methods

A scanned upper airway embedded body model in an extended computational domain was constructed to perform numerical investigation into the inhalation and deposition of airborne particles.

Results

It was clarified that the inhalation of sub-micro and micro particles was of high efficiency and insensitive to the breathing mode, while super microparticles were much less inhalable, in particular under the nasal intake. Moreover, the relative variation of environmental wind speed and direction could significantly reshape the breathing zone as well as modify the critical inhalable area at far upstream. In addition, the breathing mode was found to be affective on the regional deposition of the microparticles, and increasing the proportion of nasal inhalation flowrate slightly enhanced the total deposition in the upper airway model.

Conclusion

The breathing mode and exposure conditions significantly influence the particle inhalability and deposition pattern in human airway, which should be considered in the evaluation of health risk associated with airborne particle exposure.

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Funding

The authors would like to acknowledge the support from the Scientific Research Staring Foundation for 1000 Youth Talents [Grant No. 20161710308] and the Beijing High-grade, Precision and Advanced Discipline Construction Project [Grant No.100361004].

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