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Record W4413325977 · doi:10.1016/j.ijpharm.2025.126087

Grid-induced aerosol optimization in pMDIs: A multiscale design, simulation, and experimental study

2025· article· en· W4413325977 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Pharmaceutics · 2025
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Data Storage Technologies
Canadian institutionsLakehead University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAerosolComputer scienceChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Conventional pressurized metered dose inhalers (pMDIs) often face challenges in efficiently delivering therapeutic aerosols for the treatment of pulmonary diseases. This study proposes a novel design enhancement: the integration of a grid screen at the outlet of a standard pMDI actuator, supported by a slender 0.8 mm wire. Two grid configurations were developed and tested: (1) a uniform grid with 5 µm pores, and (2) a non-uniform grid where pore diameters increase from 3 µm at the edges to 8 µm at the center. Both configurations were evaluated on straight and curved substrates, maintaining a consistent solidity fraction of 61 %. Spray dynamics were modeled using a coupled computational framework that combines the volume of fluid (VOF) and discrete phase models (DPM). This hybrid approach effectively captures droplet deformation upon impact with the grid screen, followed by their transition into discrete-phase droplets. The trajectories of the resulting droplets were then tracked through a medium-sized mouth-throat (MT) geometry, specifically, the Virginia Commonwealth University (VCU) model, utilizing a particle data transmission method (PDTM). To validate the simulation results, grid screens were fabricated and experimentally tested using a next-generation impactor (NGI) to quantify MT aerosol deposition. Among the four configurations tested, the non-uniform straight grid exhibited the most significant performance improvement. It achieved approximately a 50 % reduction in plume velocity, resulting in lower spray kinetic energy. Additionally, the mass median diameter (MMD) decreased from 3.0 µm to 1.6 µm, attributed to a dual mechanism of mechanical jet disruption and thermally enhanced evaporation. The corresponding reduction in the Weber (We) number indicated a substantial decrease in splash-prone droplets, thereby promoting droplet characteristics that are favorable for deeper lung deposition. Overall, drug delivery efficiency improved by up to 35 %, with a reasonable agreement between computational and experimental results (RMSE = 9.88 %). Furthermore, durability testing under a high-frequency chronic obstructive pulmonary disease (COPD) rescue-use protocol demonstrated stable grid performance for up to three consecutive days, beyond which routine cleaning is recommended to maintain optimal functionality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.770
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.069
GPT teacher head0.419
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it