2016
DOI: 10.1016/j.ejps.2016.08.036
|View full text |Cite
|
Sign up to set email alerts
|

Numerical simulation of emitted particle characteristics and airway deposition distribution of Symbicort® Turbuhaler® dry powder fixed combination aerosol drug

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
20
0
1

Year Published

2017
2017
2022
2022

Publication Types

Select...
9

Relationship

5
4

Authors

Journals

citations
Cited by 26 publications
(21 citation statements)
references
References 51 publications
0
20
0
1
Order By: Relevance
“…Earlier versions dealt with constant inspiratory and expiratory flow rates based on the inhaled/exhaled volume and inhalation and exhalation times. The deposition model has been earlier validated based on experimental scintigraphic deposition data (see Farkas et al, 2016). Since in this work the model was applied to compute the deposition of Foster ® NEXThaler ® drug particles, present validation process consisted in comparing our theoretical deposition results with deposition data of Foster ® NEXThaler ® yielded by the scintigraphic experiments of Mariotti …”
Section: Description Of the Computational Methodsmentioning
confidence: 99%
“…Earlier versions dealt with constant inspiratory and expiratory flow rates based on the inhaled/exhaled volume and inhalation and exhalation times. The deposition model has been earlier validated based on experimental scintigraphic deposition data (see Farkas et al, 2016). Since in this work the model was applied to compute the deposition of Foster ® NEXThaler ® drug particles, present validation process consisted in comparing our theoretical deposition results with deposition data of Foster ® NEXThaler ® yielded by the scintigraphic experiments of Mariotti …”
Section: Description Of the Computational Methodsmentioning
confidence: 99%
“…The numerical deposition model was validated for the case of medical aerosols in our earlier works (e.g. Farkas et al 2016;Farkas et al 2017). The inputs of the model were the size distributions of the drugs measured in this work by cascade impactor techniques and the inhalation profile of a COPD patient when inhaling through Breezhaler ® derived from the work (Colthorpe et al 2013).…”
Section: In Silico Stochastic Modelmentioning
confidence: 99%
“…(12,30) The most important breath profile parameters influencing pulmonary drug deposition include IVC d , PIF d , and t in . (17,31) Inhalation parameters have an impact on fine-particle fraction, mass median aerodynamic diameter (MMAD), as well as on emitted dose, especially in DPIs. (17,31) MMAD can be determined by measurements with a cascade impactor at different flow rates and is highly influenced by PIF.…”
Section: Discussionmentioning
confidence: 99%