Decoding Fine API Agglomeration as a Key Indicator of Powder Flowability and Dissolution: Impact of Particle Engineering
Document Type
Article
Publication Date
12-1-2022
Abstract
Purpose: Fine API agglomeration and its mitigation via particle engineering, i.e., dry coating, remains underexplored. The purpose was to investigate agglomeration before and after dry coating of fine cohesive APIs and impact on powder processability, i.e., flowability (FFC), bulk density (BD), and dissolution of BCS Class II drugs. Method: Ibuprofen (three sizes), fenofibrate, and griseofulvin (5–20 µm), before and after dry coating with varying amounts of hydrophobic (R972P) or hydrophilic (A200) nano- silica, were assessed for agglomeration, FFC, BD, surface energy, wettability, and dissolution. The granular Bond number (Bog), a dimensionless parameter, evaluated through material-sparing particle-scale measures and particle-contact models, was used to express relative powder cohesion. Results: Significant powder processability improvements after dry coating were observed: FFC increased by multiple flow regimes, BD increased by 25–100%, agglomerate ratio (AR) reduction by over an order of magnitude, and greatly enhanced API dissolution rate even with hydrophobic (R972P) silica coating. Scrutiny of particle-contact models revealed non-triviality in estimating API surface roughness, which was managed through the assessment of measured bulk properties. A power-law correlation was identified between AR and Bog and subsequently, between AR and FFC & bulk density; AR below 5 ensured improved processability and dissolution. Conclusion: Agglomeration, an overlooked material-sparing measure for powder cohesiveness, was a key indicator of powder processability and dissolution. The significant agglomerate reduction was possible via dry coating with either silica type at adequate surface area coverage. Reduced agglomeration after dry coating also countered the adverse impact of increased surface hydrophobicity on dissolution.
Identifier
85131884122 (Scopus)
Publication Title
Pharmaceutical Research
External Full Text Location
https://doi.org/10.1007/s11095-022-03293-z
e-ISSN
1573904X
ISSN
07248741
PubMed ID
35698012
First Page
3079
Last Page
3098
Issue
12
Volume
39
Grant
1919037
Fund Ref
International Fine Particle Research Institute
Recommended Citation
Kim, Sangah; Cheikhali, Mirna; and Davé, Rajesh N., "Decoding Fine API Agglomeration as a Key Indicator of Powder Flowability and Dissolution: Impact of Particle Engineering" (2022). Faculty Publications. 2417.
https://digitalcommons.njit.edu/fac_pubs/2417