Novel methodology to assess and predict segregation risk in a continuous direct compression via mini-batch blending process

) and the flow function coefficient (ffc). Based on this observation, an empirical linear relationship was established linking segregation tendency to flowability. To provide a pharmaceutically relevant measure, a secondary model was developed using chemical assay data, where segregation was quantified as the change in standard deviation of API concentration (Δstd) between the inlet and outlet of the rig. This model relates segregation behaviour to two measurable bulk properties: flow function coefficient and bulk density. The proposed approach provides a practical framework for early-stage assessment of segregation risk in cDC processes using limited material quantities. While the model is specific to the studied system, the methodology may be applicable to other powder handling processes subject to further validation.

Authors

Institutions

Publication Details

Journal
International Journal of Pharmaceutics
Published
2026-04-16
DOI
https://doi.org/10.1016/j.ijpharm.2026.126888
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel methodology to assess and predict segregation risk in a continuous direct compression via mini-batch blending process

Emmanuela Gavi, Lucas Massaro Sousa, Patrick M. Piccione, Stéphanie Marchal et al.
International Journal of Pharmaceutics
Protein purification and stability
article

Novel methodology to assess and predict segregation risk in a continuous direct compression via mini-batch blending process

Emmanuela Gavi, Lucas Massaro Sousa, Patrick M. Piccione, Stéphanie Marchal, Vivek Garg, Tong Deng, Michael S.A. Bradley, Paul Kroll
article en

Abstract

) and the flow function coefficient (ffc). Based on this observation, an empirical linear relationship was established linking segregation tendency to flowability. To provide a pharmaceutically relevant measure, a secondary model was developed using chemical assay data, where segregation was quantified as the change in standard deviation of API concentration (Δstd) between the inlet and outlet of the rig. This model relates segregation behaviour to two measurable bulk properties: flow function coefficient and bulk density. The proposed approach provides a practical framework for early-stage assessment of segregation risk in cDC processes using limited material quantities. While the model is specific to the studied system, the methodology may be applicable to other powder handling processes subject to further validation.

International Journal of PharmaceuticsVol. 697
Roche (Switzerland) (CH), IFP Énergies nouvelles (FR), University of Greenwich (GB)
Roche
Reduced inequalities
Openalex Percentile: Top 24%
Protein purification and stability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.