Modeling of the influence of tissue mechanical properties on the process of aerosol particles deposition in a model of human alveolus

Żywczyk, Ł.; Moskal, Arkadiusz

doi:10.1016/s1773-2247(12)50020-1

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…Khajeh-Hosseini-Dalasm and Longest 18 reported the flow field dynamics and particle transport on a moving wall model of a pulmonary acinus at six different gravity angles. Contrary to the previous study, 17 surprisingly, the authors depicted that the total acinar deposition was not affected by the gravity orientation angle. Georgakakou et al 19 conducted an analytical study on a simplified model to predict the alveolar deposition for particle diameters d p ≥ 0.1 μ m. More recently, Talaat and Xi 20 examined the effects of various physiological factors including the wall motion modes, particle size, alveolus orientation, breathing frequency, and depth on the flow and particle deposition in the expanding–contracting terminal alveoli.…”

Section: Introductioncontrasting

confidence: 99%

“…Monjezi et al 16 numerically predicted the flow and particle deposition for 39 different particle sizes in a fully coupled 1D–3D whole lung model. Żywczyk and Moskal 17 investigated the fluid flow and the aerosol dynamics in a rhythmically expanding and contracting 2D human alveolus model. The results indicated that the mechanical properties of the tissue and the gravity play a significant role in the fluid flow and the deposition of aerosol particles.…”

Section: Introductionmentioning

confidence: 99%

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A numerical study of the aerosol behavior in intra-acinar region of a human lung

Çiloğlu

2020

Physics of Fluids

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The determination of the particle dynamics in the human acinar airways having millions of alveoli is critical in preventing potential health problems and delivering therapeutic particles effectively to target locations. Despite its complex geometrical structure and complicate wall movements, the advanced calculation simulations can provide valuable results to accurately predict the aerosol deposition in this region. The objective of this study was to numerically investigate the aerosol particle transport and deposition in the intra-acinar region of a human lung for different breathing scenarios (i.e., light, normal, and heavy activities) during multiple breaths. Idealized intra-acinar models utilized in this study consisted of a respiratory bronchial model, an alveolar duct model, and an alveolar sac model. The particles with 5 μ m in diameter released from the inlet of the model were tracked until they deposited or escaped from the computational domain. The results showed that due to the rhythmic alveolar wall movement, the flow field was divided into two regions: one is the low-speed alveolar flow and the other is the channel flow. It was found that the chaotic acinar flow irreversibility played a significant role in the aerosol transport in higher generations. During the succeeding breaths, more particles deposited or escaped to the relating acinar generation and reached the more distal regions of the lung. The number of particles remaining in the suspension at the end of the third cycle ranged from 0.016% to 3%. When the mouth flow rate increased, the number of particles remaining in the suspension reduced, resulting in higher deposition efficiency. The total deposition efficiencies for each flow rate were 24%, 47%, and 77%, respectively. The particle simulation results also showed that more breathing cycle was required for full aerosol particle deposition or escape from the model. In addition to the alveolar wall motion, the type of breathing condition and breathing cycle had a significant effect on the accurate prediction of the aerosol deposition in the intra-acinar region of the human lung.

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Section: Introductioncontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A numerical study of the aerosol behavior in intra-acinar region of a human lung

Çiloğlu

2020

Physics of Fluids

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“…For example, Chhabra et al examined the flow in the pulmonary alveolus by modeling the transported particles as massless and finite-sized particles and found that the deposition of large (diameter greater than 4 μm) and small (diameter lower than 0.25 μm) particles was dominated by gravity and advection, respectively. , Zywczyk et al. simulated the deposition of aerosol particles in human alveolus using the Navier–Stokes equation and mimicking the alveolar tissue as a compressible material; the simulation of Zywczyk et al indicates that the compressibility of the tissue plays an important role in the flow of the alveolus . Wei et al combined the Stokes flow equation and the surfactant transport equation together to couple the surfactant effect to the transport process and found that the presence of surfactant would lead to complicated flow patterns such as vortex and saddle-point flow …”

Section: Introductionmentioning

confidence: 99%

Toxicant Deposition and Transport in Alveolus: A Classical Density Functional Prediction

Liu

Shang

et al. 2018

Chem. Res. Toxicol.

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The deposition and transport of toxicants on pulmonary surfactant are important processes in human health and medical care. We have introduced classical density functional theory (CDFT) to provide insight into this process. Nine typical toxicants in PM2.5 were considered, and their free energy and structural information have been examined. The free energy profile indicates that PbO, As2O3, and CdO are the three toxicants most easily deposited in the pulmonary alveolus, which is consistent with survey data. CuO appears to be the easiest toxicant to transport through the surfactant. Structural analysis indicates that the toxicants tend to pass through the surfactant with rotation. The configuration of the pulmonary surfactant was examined by extending our previous work to polymer systems, and it appears that both the configurational entropy and the direct interaction between the surfactant and the toxicant dominate the configuration of the pulmonary surfactant.

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Numerical simulation of the unsteady flow field in the human pulmonary acinus

Çiloğlu

2021

Sādhanā

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Understanding of airflow dynamics in the human pulmonary acinus is important for increasing targeted drug effectiveness and determining the health impact of toxic aerosols. However, there is a lack of quantitative data about the pulmonary airflow in realistic and flexible idealized geometries. This paper aims to numerically analyse the flow field of the pulmonary acinus using the computational fluid dynamics (CFD) model during transient breathing. Three-dimensional models with rhythmically expanding-contracting alveolar walls were developed for representing the pulmonary region of the human lung. Three different breathing scenarios were applied in the CFD simulations. The results showed that the transient flow conditions determined the transitions between flow types. The recirculating flow in the alveoli was observed for all cases and it was determined that its intensity depended on the breathing scenario. The flow velocity in the alveoli was slower than that of the channel flow. As we moved deeper into the lung, the flow pattern inside the alveoli exhibited a radial velocity profile. It was found that the alveolar flow exhibited a typical stenotic channel flow characteristics. As a result, the acinus models used in this study takes into account the alveolar wall motion based on physiological breathing conditions. To simulate or estimate the airflow dynamics, thus, the results obtained in this study can be easily utilized in the human lung airway models.

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Modeling of the influence of tissue mechanical properties on the process of aerosol particles deposition in a model of human alveolus

Cited by 7 publications

References 29 publications

A numerical study of the aerosol behavior in intra-acinar region of a human lung

A numerical study of the aerosol behavior in intra-acinar region of a human lung

Toxicant Deposition and Transport in Alveolus: A Classical Density Functional Prediction

Numerical simulation of the unsteady flow field in the human pulmonary acinus

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