Literature DB >> 19459776

Particle deposition in human respiratory system: deposition of concentrated hygroscopic aerosols.

Suresh K Varghese1, S Gangamma.   

Abstract

In the nearly saturated human respiratory tract, the presence of water-soluble substances in the inhaled aerosols can cause change in the size distribution of the particles. This consequently alters the lung deposition profiles of the inhaled airborne particles. Similarly, the presence of high concentration of hygroscopic aerosols also affects the water vapor and temperature profiles in the respiratory tract. A model is presented to analyze these effects in human respiratory system. The model solves simultaneously the heat and mass transfer equations to determine the size evolution of respirable particles and gas-phase properties within human respiratory tract. First, the model predictions for nonhygroscopic aerosols are compared with experimental results. The model results are compared with experimental results of sodium chloride particles. The model reproduces the major features of the experimental data. The water vapor profile is significantly modified only when a high concentration of particles is present. The model is used to study the effect of equilibrium assumptions on particle deposition. Simulations show that an infinite dilution solution assumption to calculate the saturation equilibrium over droplet could induce errors in estimating particle growth. This error is significant in the case of particles of size greater than 1 mum and at number concentrations higher than 10(5)/cm(3).

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19459776     DOI: 10.1080/08958370802380792

Source DB:  PubMed          Journal:  Inhal Toxicol        ISSN: 0895-8378            Impact factor:   2.724


  9 in total

Review 1.  In silico models of aerosol delivery to the respiratory tract - development and applications.

Authors:  P Worth Longest; Landon T Holbrook
Journal:  Adv Drug Deliv Rev       Date:  2011-05-27       Impact factor: 15.470

2.  Numerical Model to Characterize the Size Increase of Combination Drug and Hygroscopic Excipient Nanoparticle Aerosols.

Authors:  P Worth Longest; Michael Hindle
Journal:  Aerosol Sci Technol       Date:  2011-01-01       Impact factor: 2.908

3.  CFD simulations of enhanced condensational growth (ECG) applied to respiratory drug delivery with comparisons to in vitro data.

Authors:  P Worth Longest; Michael Hindle
Journal:  J Aerosol Sci       Date:  2010-08-01       Impact factor: 3.433

4.  Subchronic inhalation toxicity of gold nanoparticles.

Authors:  Jae Hyuck Sung; Jun Ho Ji; Jung Duck Park; Moon Yong Song; Kyung Seuk Song; Hyeon Ryol Ryu; Jin Uk Yoon; Ki Soo Jeon; Jayoung Jeong; Beom Seok Han; Yong Hyun Chung; Hee Kyung Chang; Ji Hyun Lee; Dong Won Kim; Bruce J Kelman; Il Je Yu
Journal:  Part Fibre Toxicol       Date:  2011-05-14       Impact factor: 9.400

5.  Analysis of indoor particles and gases and their evolution with natural ventilation.

Authors:  Claire Fortenberry; Michael Walker; Audrey Dang; Arun Loka; Gauri Date; Karolina Cysneiros de Carvalho; Glenn Morrison; Brent Williams
Journal:  Indoor Air       Date:  2019-08-01       Impact factor: 6.554

6.  SARS-CoV-2 droplet deposition path and its effects on the human upper airway in the oral inhalation.

Authors:  Hamed Mortazavi; Hamidreza Mortazavy Beni; Fatemeh Aghaei; Seyed Hossein Sajadian
Journal:  Comput Methods Programs Biomed       Date:  2020-11-15       Impact factor: 5.428

7.  Airborne particulate matter and acute lung inflammation.

Authors:  Suresh Gangamma
Journal:  Environ Health Perspect       Date:  2013-01       Impact factor: 9.031

Review 8.  Physicochemical characteristics of nanomaterials that affect pulmonary inflammation.

Authors:  Hedwig M Braakhuis; Margriet V D Z Park; Ilse Gosens; Wim H De Jong; Flemming R Cassee
Journal:  Part Fibre Toxicol       Date:  2014-04-11       Impact factor: 9.400

9.  Aerosol mixing state matters for particles deposition in human respiratory system.

Authors:  Joseph Ching; Mizuo Kajino
Journal:  Sci Rep       Date:  2018-06-11       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.