# Advancing Dry Powder Inhalers: A Complete Workflow for Carrier-Based Formulation Development

**Authors:** Rodrigo Amorim, Navneet Sharma, Molly Gallagher, Christopher Bock, Kimberly B. Shepard, Beatriz Noriega-Fernandes

PMC · DOI: 10.3390/pharmaceutics18020246 · Pharmaceutics · 2026-02-15

## TL;DR

This paper presents a comprehensive strategy for developing dry powder inhaler formulations by integrating particle engineering with manufacturing processes.

## Contribution

The study introduces a Quality-by-Design framework that connects jet milling, formulation design, and blending scale-up for DPI products.

## Key findings

- Optimized jet milling produced inhalation-grade API particles with controlled amorphous content.
- Low-shear blending improved lung delivery compared to high-shear methods.
- A particle-velocity-based scale-up strategy achieved consistent performance across different scales.

## Abstract

Background/Objectives: Carrier-based dry powder inhaler (DPI) formulations remain the predominant platform for respiratory drug delivery. However, integrated development frameworks that align upstream particle engineering with downstream manufacturing are underdeveloped. This study aimed to develop a comprehensive Quality-by-Design (QbD) strategy that systematically connects jet milling, formulation design, and blending scale-up for carrier-based DPI products containing micronized crystalline active pharmaceutical ingredient (API). Methods: Phenytoin was selected as a model API to investigate process–formulation–performance relationships. Jet milling parameters were optimized to generate three distinct API particle size distributions while monitoring solid-state integrity. A design of experiments (DoE) evaluated the impact of API particle size and lactose fines level on aerodynamic performance (fine particle fraction, FPF) and powder processability (flowability, compressibility). High-shear and low-shear blending techniques were compared, and a novel V-shell blending scale-up methodology was developed based on maintaining particle fall velocity and total strain across multiple scales (one-, two-, and eight-quart). Results: Optimized jet milling produced inhalation grade API particles with controlled amorphous content localized to high-energy processes. DoE analysis identified a design space in which API Dv90 of 2.9–4.5 µm and coarse lactose <96% maximized both aerosolization and blend flowability. Low-shear blending achieved superior lung delivery (FPF 62.6 ± 1.7%) compared with high-shear micing (50.1 ± 1.5%). The particle-velocity-based scale up strategy produced statistically equivalent FPF and ED across all scales (p < 0.01), with content uniformity (RSD ≤ 5%) and variability comparable to commercial DPIs. Conclusions: This integrated QbD framework demonstrates that the co-optimization of particle size engineering, formulation composition, and blending dynamics is essential for achieving robust and scalable DPI products. The approach offers a material-sparing, efficient pathway from API characterization through commercial scale manufacturing and is broadly applicable to respiratory drug development.

## Linked entities

- **Chemicals:** Phenytoin (PubChem CID 1775)

## Full-text entities

- **Diseases:** pulmonary disorders (MESH:D008171), injury to (MESH:D014947), XRPD (MESH:C564523)
- **Chemicals:** isopropanol (MESH:D019840), ACN (MESH:C084683), ammonium phosphate (MESH:C024788), Heptane (MESH:D006536), Span  85 (MESH:C005693), MgSt (MESH:C031183), V (MESH:D014639), water (MESH:D014867), vilanterol (MESH:C550468), umeclidinium (MESH:C573971), acetonitrile (MESH:C032159), nitrogen (MESH:D009584), Lactose (MESH:D007785), fluticasone furoate (MESH:C523187), methanol (MESH:D000432), tiotropium (MESH:D000069447), Tween-20 (MESH:D011136), ammonium hydroxide (MESH:D064753), phosphoric acid (MESH:C030242), salmeterol (MESH:D000068299), Phenytoin (MESH:D010672), TMG (MESH:D001622), hexane (MESH:D006586), fluticasone (MESH:D000068298), APIs (-)
- **Species:** Dermanyssus sp. PI (species) [taxon 509138], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12944642/full.md

## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12944642/full.md

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Source: https://tomesphere.com/paper/PMC12944642