Evidence map›Paper›PMID 31139939›Full record

ArticlePharmaceutical research2019

Use of Computational Fluid Dynamics (CFD) Dispersion Parameters in the Development of a New DPI Actuated with Low Air Volumes.

Worth Longest, Dale Farkas, Karl Bass, Michael Hindle

Abstract read
In one paragraph

Article in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Article
  8. Dry powder inhaler design and particle technology in enhancing Pulmonary drug deposition: challenges and future strategies.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Review
  9. Article
  10. Journal of aerosol medicine and pulmonary drug delivery · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Excipient Enhanced Growth Aerosol Surfactant Replacement Therapy in anJournal of aerosol medicine and pulmonary drug delivery · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Worth LongestDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, Virginia, 23284-3015, USA. pwlongest@vcu.edu.
Dale FarkasDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, Virginia, 23284-3015, USA.
Karl BassDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, Virginia, 23284-3015, USA.
Michael HindleDepartment of Pharmaceutics, Virginia Commonwealth University, Richmond, Virginia, USA.

Funding

High Efficiency Delivery of Surfactant Aerosols to Infants without IntubationR01HL139673 · NHLBI · VIRGINIA COMMONWEALTH UNIVERSITY · PI HINDLE, MICHAEL, LONGEST, P. WORTH · 2018 to 2021
$2.8M
High Efficiency Inhalation Delivery of Tobramycin for Children with Cystic FibrosisR01HD087339 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI HINDLE, MICHAEL, LONGEST, P. WORTH · 2017 to 2021
$2.5M
Eunice Kennedy Shriver National Institute of Child Health and Human Development HD087339NHLBI NIH HHS HL139673NHLBI NIH HHS R01 HL139673NICHD NIH HHS R01 HD087339
6 · The paper itself

Abstract

purposeTo determine the predictive power of computational fluid dynamics (CFD)-based dispersion parameters in the development of a new inline DPI that is actuated with low volumes of air.

methodsFour new versions of a dose aerosolization and containment (DAC)-unit DPI were created with varying inlet and outlet orifice sizes and analyzed with results from five previous designs. A concurrent in vitro and CFD analysis was conducted to predict the emitted dose (ED; as a % of loaded dose) and aerosol mass median aerodynamic diameter (MMAD) produced by each device when actuated with 10 ml air bursts. CFD simulations of device operation were used to predict flow field and particle-based dispersion parameters.

resultsComparisons of experimental and CFD results indicated that multiple flow field and particle-based dispersion parameters could be used to predict ED (minimum RMS Error = 4.9%) and MMAD (minimum RMS Error = 0.04 μm) to a high degree of accuracy. Based on experiments, the best overall device produced mean (standard deviation; SD) ED = 82.9(4.3)% and mean MMAD (SD) = 1.73(0.07)μm, which were in close agreement with the CFD predictions.

conclusionsA unique relationship was identified in the DAC-unit DPI in which reducing turbulence also reduced the MMAD.

Indexed as

Computer SimulationHydrodynamicsAdministration, InhalationAerosolsAirChemistry, PharmaceuticalDrug Delivery SystemsDry Powder InhalersEquipment DesignHumansModels, BiologicalParticle SizePowdersAerosolsPowdersactive DPIaerosol delivery to childrenaerosolization with low air volumesCFD simulation of powder breakupinline DPIpowder dispersion

Identifiers

PMID31139939
PMCPMC7324281

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.