Evidence map›Paper›PMID 32440940›Full record

ArticlePharmaceutical research2020

Computational Fluid Dynamics (CFD) Simulations of Spray Drying: Linking Drying Parameters with Experimental Aerosolization Performance.

P Worth Longest, Dale Farkas, Amr Hassan, Michael Hindle

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pharmaceutical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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.

P Worth LongestDepartment of Mechanical and Nuclear Engineering, Virginia Commonwealth University, 401 West Main Street, P.O. Box 843015, Richmond, VA, 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, VA, 23284-3015, USA.
Amr HassanDepartment of Pharmaceutics, Virginia Commonwealth University, Richmond, VA, USA.
Michael HindleDepartment of Pharmaceutics, Virginia Commonwealth University, Richmond, VA, 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

purposeThe purpose of this study was to develop a new computational fluid dynamics (CFD)-based model of the complex transport and droplet drying kinetics within a laboratory-scale spray dryer, and relate CFD-predicted drying parameters to powder aerosolization metrics from a reference dry powder inhaler (DPI).

methodsA CFD model of the Buchi Nano Spray Dryer B-90 was developed that captured spray dryer conditions from a previous experimental study producing excipient enhanced growth powders with L-leucine as a dispersion enhancer. The CFD model accounted for two-way heat and mass transfer coupling between the phases and turbulent flow created by acoustic streaming from the mesh nebulizer. CFD-based drying parameters were averaged across all droplets in each spray dryer case and included droplet time-averaged drying rate (κ

resultsCFD results highlighted a chaotic drying environment in which time-averaged droplet drying rates (κ

conclusionsFor the spray dryer system and conditions considered, reducing the CFD-predicted maximum drying rate experienced by droplets improved the aerosolization performance (both MMAD and ED) when the powders were aerosolized with a reference DPI.

Indexed as

Models, ChemicalSpray DryingAdministration, InhalationAerosolsChemistry, PharmaceuticalComputer SimulationDrug CompoundingDry Powder InhalersExcipientsHydrodynamicsParticle SizeAerosolsExcipientsdrying parametersDry powder inhalerexcipient enhanced growth aerosol formulationsparticle engineeringpharmaceutical engineeringrespiratory drug delivery

Identifiers

PMID32440940
PMCPMC8672377

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Registered trials

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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.