A predictive model based on key particle properties for segregation of free-flowing powder blends measured using Near-Infrared spectroscopy

× bulk density ratios increased segregation intensity, whereas larger ratios of aspect ratio mitigated segregation. Overall, a robust quantitative framework was established for understanding and predicting segregation in free-flowing powder systems, potentially enabling improved blend uniformity.

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Publication Details

Journal
International Journal of Pharmaceutics
Published
2026-04-27
DOI
https://doi.org/10.1016/j.ijpharm.2026.126921
Primary Topic
Coagulation and Flocculation Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A predictive model based on key particle properties for segregation of free-flowing powder blends measured using Near-Infrared spectroscopy

Rajesh Davé, S.K. Tripathi, Anna Owasit
International Journal of Pharmaceutics
Coagulation and Flocculation Studies
article

A predictive model based on key particle properties for segregation of free-flowing powder blends measured using Near-Infrared spectroscopy

Rajesh Davé, S.K. Tripathi, Anna Owasit
article en

Abstract

× bulk density ratios increased segregation intensity, whereas larger ratios of aspect ratio mitigated segregation. Overall, a robust quantitative framework was established for understanding and predicting segregation in free-flowing powder systems, potentially enabling improved blend uniformity.

International Journal of PharmaceuticsVol. 698
New Jersey Institute of Technology (US)
National Science Foundation
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Coagulation and Flocculation Studies
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