Tags

Type your tag names separated by a space and hit enter

Decoding Fine API Agglomeration as a Key Indicator of Powder Flowability and Dissolution: Impact of Particle Engineering.
Pharm Res. 2022 Dec; 39(12):3079-3098.PR

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.

Authors+Show Affiliations

New Jersey Center for Engineered Particulates, New Jersey Institute of Technology, Newark, New Jersey, 07102, USA.New Jersey Center for Engineered Particulates, New Jersey Institute of Technology, Newark, New Jersey, 07102, USA.New Jersey Center for Engineered Particulates, New Jersey Institute of Technology, Newark, New Jersey, 07102, USA. dave@njit.edu.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

35698012

Citation

Kim, Sangah, et al. "Decoding Fine API Agglomeration as a Key Indicator of Powder Flowability and Dissolution: Impact of Particle Engineering." Pharmaceutical Research, vol. 39, no. 12, 2022, pp. 3079-3098.
Kim S, Cheikhali M, Davé RN. Decoding Fine API Agglomeration as a Key Indicator of Powder Flowability and Dissolution: Impact of Particle Engineering. Pharm Res. 2022;39(12):3079-3098.
Kim, S., Cheikhali, M., & Davé, R. N. (2022). Decoding Fine API Agglomeration as a Key Indicator of Powder Flowability and Dissolution: Impact of Particle Engineering. Pharmaceutical Research, 39(12), 3079-3098. https://doi.org/10.1007/s11095-022-03293-z
Kim S, Cheikhali M, Davé RN. Decoding Fine API Agglomeration as a Key Indicator of Powder Flowability and Dissolution: Impact of Particle Engineering. Pharm Res. 2022;39(12):3079-3098. PubMed PMID: 35698012.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Decoding Fine API Agglomeration as a Key Indicator of Powder Flowability and Dissolution: Impact of Particle Engineering. AU - Kim,Sangah, AU - Cheikhali,Mirna, AU - Davé,Rajesh N, Y1 - 2022/06/14/ PY - 2022/03/28/received PY - 2022/05/11/accepted PY - 2022/6/14/pubmed PY - 2022/6/14/medline PY - 2022/6/13/entrez KW - dry coating KW - granular bond number KW - powder agglomeration KW - powder processability KW - powder roughness SP - 3079 EP - 3098 JF - Pharmaceutical research JO - Pharm Res VL - 39 IS - 12 N2 - 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. SN - 1573-904X UR - https://www.unboundmedicine.com/medline/citation/35698012/Decoding_Fine_API_Agglomeration_as_a_Key_Indicator_of_Powder_Flowability_and_Dissolution:_Impact_of_Particle_Engineering_ DB - PRIME DP - Unbound Medicine ER -