Evidence map›Paper›PMID 25511919›Full record

ArticlePharmaceutical research2015

Multi-scale modelling of powder dispersion in a carrier-based inhalation system.

Zhenbo Tong, Hidehiro Kamiya, Aibing Yu, Hak-Kim Chan, Runyu Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Pharmaceutical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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

5 authors.

Zhenbo TongGraduate School of Bio-Applications and Systems Engineering (BASE), Tokyo University of Agriculture and Technology, Koganei, 184-8588, Tokyo, Japan.
Hidehiro Kamiya
Aibing Yu
Hak-Kim Chan
Runyu Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCarrier-based dry powder inhalers (DPIs) are widely used for rapid and convenient delivery of drug to the site of action. This work aimed to predict powder aerosolisation in DPIs through numerical modelling.

methodsA multi-scale modelling technique based on the combined computational fluid dynamics (CFD) and discrete element method (DEM) approach was developed.

resultsThe simulation results of the detachments of the drug particles from single carrier under different impact velocities and angles were comparable with those measured in the experiments in terms of fine particle fraction FPF loaded . Empirical equations were developed to link the detachment performance with impact velocity and impact angle. Then the dynamics of the carrier particles in Aerolizer® was simulated. The results indicated that the carrier-wall impaction was the dominant mechanism for drug aerosolisation performance. By linking the empirical equations with the carrier-wall impact energy, the predictions showed that for a given formulation mass with a fixed carrier/drug ratio, the inhaler performance decreased with carrier size and increased with air flow rate. Device empty efficiency, however, was independent with carrier size and flow rate.

conclusionsThe multi-scale model was able to provide quantitative information to better understand the aerosolisation mechanisms of carrier-based formulation.

Indexed as

Computer SimulationDrug CarriersDry Powder InhalersModels, TheoreticalAdministration, InhalationAerosolsChemistry, PharmaceuticalEquipment DesignMotionNumerical Analysis, Computer-AssistedPharmaceutical PreparationsPowdersTime FactorsAerosolsDrug CarriersPharmaceutical PreparationsPowders

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.