Numerical investigation of the interaction, transport and deposition of multicomponent droplets in a simple mouth-throat model

Chen, Xiaole; Feng, Yu; Wang, Zhong; Kleinstreuer, Clement

doi:10.1016/j.jaerosci.2016.12.001

Cited by 95 publications

(107 citation statements)

References 35 publications

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“…Zhang and Kleinstreuer [55] reported that turbulent fluctuation happens past the throat and can continue downstream to the first three generations of the upper airways. Chen, Feng, Zhong and Kleinstreuer [56] reported that air flow becomes turbulent near the mouth cavity at 15-45 L/min flow rate. Different turbulent models, Reynolds-averaged Navier-Stokes (RANS) [57]; [58,59], k- [60,61], k-ω [39,62], Large Eddy Simulation (LES) [63][64][65][66] have been used for airflow characterization in the oral airways of the lung.…”

Section: Extrathoracic Regionmentioning

confidence: 99%

“…Riazuddin, Zubair, Abdullah, Ismail, Shuaib, Hamid and Ahmad [70] used the k-ω SST turbulent model to analyze flow patterns at the nasal cavity, and the results showed a more accurate correlation with experimental data. Recently, Chen, Feng, Zhong and Kleinstreuer [56] also reported that the transition SST turbulence model was better than the RANS model for transitional flow analysis. Moreover, a numerical investigation of Aasgrav, Johnsen, Simonsen and Müller [61] reported the comparison of area-averaged gauge pressure for laminar and different turbulent cases ( Figure 2).…”

Section: Extrathoracic Regionmentioning

confidence: 99%

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A Review of Respiratory Anatomical Development, Air Flow Characterization and Particle Deposition

Islam

Paul

Ong

et al. 2020

IJERPH

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The understanding of complex inhalation and transport processes of pollutant particles through the human respiratory system is important for investigations into dosimetry and respiratory health effects in various settings, such as environmental or occupational health. The studies over the last few decades for micro- and nanoparticle transport and deposition have advanced the understanding of drug-aerosol impacts in the mouth-throat and the upper airways. However, most of the Lagrangian and Eulerian studies have utilized the non-realistic symmetric anatomical model for airflow and particle deposition predictions. Recent improvements to visualization techniques using high-resolution computed tomography (CT) data and the resultant development of three dimensional (3-D) anatomical models support the realistic representation of lung geometry. Yet, the selection of different modelling approaches to analyze the transitional flow behavior and the use of different inlet and outlet conditions provide a dissimilar prediction of particle deposition in the human lung. Moreover, incorporation of relevant physical and appropriate boundary conditions are important factors to consider for the more accurate prediction of transitional flow and particle transport in human lung. This review critically appraises currently available literature on airflow and particle transport mechanism in the lungs, as well as numerical simulations with the aim to explore processes involved. Numerical studies found that both the Euler–Lagrange (E-L) and Euler–Euler methods do not influence nanoparticle (particle diameter ≤50 nm) deposition patterns at a flow rate ≤25 L/min. Furthermore, numerical studies demonstrated that turbulence dispersion does not significantly affect nanoparticle deposition patterns. This critical review aims to develop the field and increase the state-of-the-art in human lung modelling.

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Section: Extrathoracic Regionmentioning

confidence: 99%

Section: Extrathoracic Regionmentioning

confidence: 99%

A Review of Respiratory Anatomical Development, Air Flow Characterization and Particle Deposition

Islam

Paul

Ong

et al. 2020

IJERPH

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“…Further refinement of heat‐transfer modeling approaches may improve the accuracy of CFD‐based MDI models, especially for solution‐based MDIs, where the evaporation of ethanol in droplets from these formulations is sensitive to local temperature changes. Although not discussed at length in this review, evaporation model selection is another key issue for solution‐based MDIs, for which a key consideration is the characterization of nonideal mixture behavior . With respect to OIDPs that use the Respimat Soft Mist inhaler device and for any potential generic OIDPs that reference that device, the modeling approaches described in the literature have shown promise for accurately predicting regional deposition .…”

Section: Future Directionsmentioning

confidence: 99%

“…Although not discussed at length in this review, evaporation model selection is another key issue for solution-based MDIs, for which a key consideration is the characterization of nonideal mixture behavior. 92,93 With respect to OIDPs that use the Respimat Soft Mist inhaler device and for any potential generic OIDPs that reference that device, the modeling approaches described in the literature have shown promise for accurately predicting regional deposition. [45][46][47][48] From the perspective of generic OIDP development, future work to characterize the differences in device characteristics such as orifice diameter and chamber volume and device metrics such as spray angle, spray velocity, and spray duration would be useful for understanding how product differences may influence regional deposition.…”

Section: Future Directionsmentioning

confidence: 99%

In Silico Methods for Development of Generic Drug–Device Combination Orally Inhaled Drug Products

Walenga

Babiskin

Zhao

2019

CPT Pharmacom & Syst Pharma

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The development of generic, single‐entity, drug–device combination products for orally inhaled drug products is challenging in part because of the complex nature of device design characteristics and the difficulties associated with establishing bioequivalence for a locally acting drug product delivered to the site of action in the lung. This review examines in silico models that may be used to support the development of generic orally inhaled drug products and how model credibility may be assessed.

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“…1), are capable of providing valuable dosimetry data of multicomponent EC aerosols in subject-specific respiratory tracts (Chen, Feng, Zhong, & Kleinstreuer, 2017; Haghnegahdar and Feng, 2017; Kleinstreuer & Feng, 2013). Furthermore, a high-quality CFPD-PBTK model is also a promising whole-body dosimetry prediction tool, which is noninvasive, cost-effective, and time-saving compared to in-vitro and in-vivo investigations.…”

Section: Introductionmentioning

confidence: 99%

Computational analysis of deposition and translocation of inhaled nicotine and acrolein in the human body with e-cigarette puffing topographies

Haghnegahdar

Feng

Chen

et al. 2018

Aerosol Science and Technology

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Recently, toxicants such as formaldehyde and acrolein were detected in electronic cigarette (EC) aerosols. It is imperative to conduct research and provide sufficient quantitative evidence to address the associated potential health risks. However, it is still a lack of informative data, i.e., high-resolution local dosimetry of inhaled aerosols in lung airways and other systemic regions, due to the limited imaging resolutions, restricted operational flexibilities, and invasive nature of experimental and clinical studies. In this study, an experimentally validated multiscale numerical model, i.e., Computational Fluid-Particle Dynamics (CFPD) model combined with a Physiologically Based Toxicokinetic (PBTK) model is developed to predict the systemic translocation of nicotine and acrolein in the human body after the deposition in the respiratory system. In-silico parametric analysis is performed for puff topography influence on the deposition and translocation of nicotine and acrolein in human respiratory systems and the systemic region. Results indicate that the puff volume and holding time can contribute to the variations of the nicotine and acrolein plasma concentration due to enhanced aerosol deposition in the lung. The change in the holding time has resulted in significant difference in the chemical translocation which was neglected in a large group of experimental studies. The capability of simulating multiple puffs of the new CFPD-PBTK model paves the way to a valuable computational simulation tool for assessing the chronic health effects of inhaled EC toxicants.

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Numerical investigation of the interaction, transport and deposition of multicomponent droplets in a simple mouth-throat model

Cited by 95 publications

References 35 publications

A Review of Respiratory Anatomical Development, Air Flow Characterization and Particle Deposition

A Review of Respiratory Anatomical Development, Air Flow Characterization and Particle Deposition

In Silico Methods for Development of Generic Drug–Device Combination Orally Inhaled Drug Products

Computational analysis of deposition and translocation of inhaled nicotine and acrolein in the human body with e-cigarette puffing topographies

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