Spiral mouthpiece design in a dry powder inhaler to improve aerosolization

Lee, Hyo‐Jung; Kwon, Inho; Lee, Honggoo; Kwon, Yong-Bin; Woo, Hye‐Min; Cho, Sang-Min; Choi, Youn-Woong; Chon, Jinmann; Kim, Ki-Bum; Kim, Dong-Wook; Park, Chun‐Woong

doi:10.1016/j.ijpharm.2018.10.036

Cited by 13 publications

(9 citation statements)

References 42 publications

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“…Particle dispersion is also associated with impaction, shear stress, and turbulent flow [ 39 ]. To identify the particle dispersion dynamics, several studies have been carried out using approaches such as computational fluid dynamics (CFD) [ 40 , 41 ] and PIV system [ 42 , 43 ]. In this study, PIV was used to provide experimental observation of the particle dispersion process.…”

Section: Resultsmentioning

confidence: 99%

The Effect of Particle Size and Surface Roughness of Spray-Dried Bosentan Microparticles on Aerodynamic Performance for Dry Powder Inhalation

et al. 2020

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The purpose of this study was to prepare spray dried bosentan microparticles for dry powder inhaler and to characterize its physicochemical and aerodynamic properties. The microparticles were prepared from ethanol/water solutions containing bosentan using spray dryer. Three types of formulations (SD60, SD80, and SD100) depending on the various ethanol concentrations (60%, 80%, and 100%, respectively) were used. Bosentan microparticle formulations were characterized by scanning electron microscopy, powder X-ray diffraction, laser diffraction particle sizing, differential scanning calorimetry, Fourier-transform infrared spectroscopy, dissolution test, and in vitro aerodynamic performance using Andersen cascade impactor™ (ACI) system. In addition, particle image velocimetry (PIV) system was used for directly confirming the actual movement of the aerosolized particles. Bosentan microparticles resulted in formulations with various shapes, surface morphology, and particle size distributions. SD100 was a smooth surface with spherical morphology, SD80 was a rough surfaced with spherical morphology and SD60 was a rough surfaced with corrugated morphology. SD100, SD80, and SD60 showed significantly high drug release up to 1 h compared with raw bosentan. The aerodynamic size of SD80 and SD60 was 1.27 µm and SD100 was 6.95 µm. The microparticles with smaller particle size and a rough surface aerosolized better (%FPF: 63.07 ± 2.39 and 68.27 ± 8.99 for SD60 and SD80, respectively) than larger particle size and smooth surface microparticle (%FPF: 22.64 ± 11.50 for SD100).

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Section: Resultsmentioning

confidence: 99%

The Effect of Particle Size and Surface Roughness of Spray-Dried Bosentan Microparticles on Aerodynamic Performance for Dry Powder Inhalation

et al. 2020

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“…[60][61][62] In addition to current work using a CFD-DEM approach, several recent studies have used CFD with the more traditional Lagrangian approach for particle tracking to investigate DPI performance. 33,47,[63][64][65][66][67][68][69][70] The use of CFD with Lagrangian particle tracking for the investigation of DPI performance was also recently reviewed by Sommerfeld et al, 71 who also included some discussion on CFD-DEM models. A good example of the utility of CFD with a Lagrangian approach comes from Shur et al, 63 who made modifications to an existing RLD device, Multihaler (Cipla Limited, Mumbai, India), and tested eight different formulations of fluticasone propionate in the modified devices with the intent of producing a drugdevice combination with comparable in vitro performance to an existing drug-device combination, Flixotide Accuhaler (GlaxoSmithKline UK Limited, Brentford, UK; fluticasone propionate DPI).…”

Section: In Silico Methods For Development Of Generic Oidpsmentioning

confidence: 99%

“…In addition to current work using a CFD‐DEM approach, several recent studies have used CFD with the more traditional Lagrangian approach for particle tracking to investigate DPI performance . The use of CFD with Lagrangian particle tracking for the investigation of DPI performance was also recently reviewed by Sommerfeld et al .…”

Section: Predicting the Influence Of Device And Formulation Parametermentioning

confidence: 99%

“…were compared against gamma scintigraphy data. Another approach has been to use particle image velocimetry to experimentally measure local velocity values in an in vitro replica of the in silico model and then to compare the in silico predictions to the in vitro data on a qualitative basis . Validating against particle image velocimetry data may be especially useful if deposition predictions are also validated against experimental deposition data.…”

Section: Model Credibility—verification and Validationmentioning

confidence: 99%

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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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“…The results of the stresses on the design can be observed by the user, and hence provides a 'white-box' effect. This has been leveraged by pharmaceutical researchers in 3DP to visualise the stress distribution in microneedles, thermodynamic behaviours in FDM filaments, air flow in inhalers, and rupture behaviour of coated capsules [136][137][138][139].…”

Section: Finite Element Analysis and Computational Fluid Dynamicsmentioning

confidence: 99%

Harnessing artificial intelligence for the next generation of 3D printed medicines

Elbadawi

McCoubrey

Gavins

et al. 2021

Advanced Drug Delivery Reviews

102

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Spiral mouthpiece design in a dry powder inhaler to improve aerosolization

Cited by 13 publications

References 42 publications

The Effect of Particle Size and Surface Roughness of Spray-Dried Bosentan Microparticles on Aerodynamic Performance for Dry Powder Inhalation

The Effect of Particle Size and Surface Roughness of Spray-Dried Bosentan Microparticles on Aerodynamic Performance for Dry Powder Inhalation

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

Harnessing artificial intelligence for the next generation of 3D printed medicines

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