Evidence map›Paper›PMID 36348745›Full record

ArticlePowder technology2022

A CFD-DEM investigation of powder transport and aerosolization in ELLIPTA® dry powder inhaler.

Mostafa Sulaiman, Xiaoyu Liu, Sankaran Sundaresan

Open access · greenAbstract read
In one paragraph

Article in Powder technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Mostafa SulaimanDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Xiaoyu LiuDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Sankaran SundaresanDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Princeton University · US

Funding

Modeling Complex Particle Interactions in Dry Powder Inhaler Based Drug DeliveryU01FD006514 · FDA · PRINCETON UNIVERSITY · PI SUNDARESAN, SANKARAN · 2018 to 2022
$576k
FDA HHS U01 FD006514
6 · The paper itself

Abstract

We have performed Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) simulations of air and particles in a commercial ELLIPTA® inhaler. We simulated the fluidization, deagglomeration and transport of carrier and API particles, with two realistic inhalation profiles that are representative of moderate asthma and very severe COPD patients, and three different mouthpiece designs. In each of the ten cases simulated, we determined the fine particle fraction (FPF) in the stream leaving the mouthpiece, the temporal evolution of the spatial distribution of the particles, the mean air (slip) velocity seen by the carrier particles, and the average numbers and normal impact velocities of carrier-carrier and carrier-wall collisions inside the inhaler. In the cases examined, the air-carrier and carrier-carrier interactions affected the FPF, while the carrier-wall interactions were too infrequent to have a substantial effect. The simulations revealed the benefit of loading both blisters even when only a single medication needs to be delivered.

Indexed as

Computational Fluid DynamicsDiscrete Element MethodDry powder inhalerFine particle fraction

Identifiers

PMID36348745
PMCPMC9638990
OpenAlexW4292074253

What OpenQuestion holds

Textmetadata
LicenceTDM
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.