Detailed nanoparticle exposure analysis among human nasal cavities with distinct vestibule phenotypes

Dong, Jingliang; Ma, Jianglin; Shang, Yidan; Inthavong, Kiao; Qiu, Dasheng; Tu, Jiyuan; Frank‐Ito, Dennis O.

doi:10.1016/j.jaerosci.2018.05.001

Cited by 33 publications

(21 citation statements)

References 40 publications

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“…Alternatively, numerical simulation of air-particle flow in the respiratory airways can resolve the regional airflow dynamics with sufficient spatial and temporal resolution (De Backer et al, 2008;Heenan et al, 2003;Inthavong et al, 2010a;Inthavong et al, 2010b;Xu et al, 2006). By incorporating subject-specific geometric models derived from clinical images, personalised computer models are increasingly used among respiratory modelling studies (Dong et al, 2018;Inthavong et al, 2017;Shang et al, 2018). Previous numerical simulations in pulmonary health have focused mainly on two aspects: establishing particle dosimetry model for inhalation toxicology (Koullapis et al, T 2016;Luo and Liu, 2009) or drug delivery purposes (Inthavong et al, 2011;Kenjereš and Tjin, 2017;Yousefi et al, 2015;Yousefi et al, 2017); and understanding the airway structural effect on airflow dynamics (Inthavong et al, 2009), such as sleep apnoea associated with obstructions in extra-thoracic airways (Cisonni et al, 2015) or airway obstructions in the intrathoracic airway (Sul et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Detailed computational analysis of flow dynamics in an extended respiratory airway model

Shang

Dong

Tian

et al. 2019

Clinical Biomechanics

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Section: Introductionmentioning

confidence: 99%

Detailed computational analysis of flow dynamics in an extended respiratory airway model

Shang

Dong

Tian

et al. 2019

Clinical Biomechanics

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“…The hemisphere was located outside the breathing region that proposed by Shang et al (2015b) to minimise the influence of near-nostril biased airflow pattern on particle trajectories. This releasing condition has been widely adopted by previous published studies (Tian et al, 2017a(Tian et al, , 2017b(Tian et al, , 2019Dong et al, 2018;Xu et al, 2018). For each particle size, 100,000 particles were passively released to ensure particle number independent results.…”

Section: Methodsmentioning

confidence: 99%

Numerical assessment of ambient inhaled micron particle deposition in a human nasal cavity

Shang

Inthavong

2019

Exp. Comput. Multiph. Flow

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Understanding the particle exposure characteristics in human respiratory airways plays important roles in assessing the therapeutic or toxic effects of inhaled particles. In this study, numerical modelling approach was used to investigate micron-sized particle deposition in an anatomically realistic human nasal cavity. Flow rate of 15 L/min representing typical normal breathing rate for an adult was adopted, and particles were passively released from the ambient air adjacent to the nostrils. Through introducing a surface mapping technique, the 3D nasal cavity was "unwrapped" into a 2D planar domain, which allows a complete visual coverage of the spatial particle deposition in the intricate nasal cavity. Furthermore, deposition enhancement factor was applied to extract regional deposition concentration intensity relative to background intensity of the whole nasal passage. Results show that micron particle exposure in the nasal cavity is closely associated with nasal anatomical shape, airflow dynamics, and particle inertia. Specifically, the main passage of the nasal cavity received high particle deposition dosage, especially for larger micron-sized particles due to increased particle inertia. The nasal vestibule exhibited limited particle filtration effect and most deposited particles in this region concentrated posteriorly.

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“…These subdivisions should be anatomically definable and have clear boundaries between each region. Previous research efforts have provided different types of subdivisions to report particle deposition percentages ( Dong, Ma, et al, 2018 ; Dong, Shang, Inthavong, Chan, & Tu, 2018 ; Ghahramani, Abouali, Emdad, & Ahmadi, 2014 ; Kiasadegh, Emdad, Ahmadi, & Abouali, 2020 ; Xi & Longest, 2008 ; Xi, Si, Kim, & Berlinski, 2011 ; Zhu, Lee, Lim, Lee, & Wang, 2011 ). The different definitions for the subdivisions have been used for the human olfactory region.…”

Section: Introductionmentioning

confidence: 99%

“…Due to anatomy differences, the area of the olfactory region may vary for each person. The location of the olfactory region is not accurately defined, and its position was qualitatively described within the nasal cavity ( Dong, Ma, et al, 2018 ; Dong, Shang, et al, 2018 ; Xi & Longest, 2008 ; Zhu et al, 2011 ). There is an uncertainty in the literature of the field about the size of this region.…”

Section: Introductionmentioning

confidence: 99%

“…Even partial details of the nasal anatomy can affect the particle deposition. For example recent research studies have also investigated the effect of vestibule shape (presence or absence of notch) on particle deposition ( Dong, Ma, et al, 2018 ). Also, in the numerical simulation of the nasal airway, it was found that the amount of surface smoothness has a significant effect on particle deposition ( Schroeter, Garcia, & Kimbell, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Regional deposition of the allergens and micro-aerosols in the healthy human nasal airways

Hazeri

Faramarzi

Sadrizadeh

et al. 2021

Journal of Aerosol Science

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The nasal cavity is the inlet to the human respiratory system and is responsible for the olfactory sensation, filtering pollutant particulate matter, and humidifying the air. Many research studies have been performed to numerically predict allergens, contaminants, and/or drug particle deposition in the human nasal cavity; however, the majority of these investigations studied only one or a small number of nasal passages. In the present study, a series of Computed Tomography (CT) scan images of the nasal cavities from ten healthy subjects were collected and used to reconstruct accurate 3D models. All models were divided into twelve anatomical regions in order to study the transport and deposition features of different regions of the nasal cavity with specific functions. The flow field and micro-particle transport equations were solved, and the total and regional particle deposition fractions were evaluated for the rest and low activity breathing conditions. The results show that there are large variations among different subjects. The standard deviation of the total deposition fraction in the nasal cavities was the highest for

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Detailed nanoparticle exposure analysis among human nasal cavities with distinct vestibule phenotypes

Cited by 33 publications

References 40 publications

Detailed computational analysis of flow dynamics in an extended respiratory airway model

Detailed computational analysis of flow dynamics in an extended respiratory airway model

Numerical assessment of ambient inhaled micron particle deposition in a human nasal cavity

Regional deposition of the allergens and micro-aerosols in the healthy human nasal airways

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