A Dehydration–Diffusion Competition Framework Predicts Interfacial Film Risk in High-Concentration Biologics Fill-Finish

High-concentration protein formulations are increasingly demanded for the development of subcutaneous injections owing to its clinical and commercial advantages. However, their high protein concentrations can lead to dried residues, causing failures in manufacturing operations such as piston pump seizing and filling needle clogging. Transient dehydration during fill-finish holds can generate interfacial viscoelastic films that resist redissolution and perturb delivery performance. Here, we establish an operational framework that links dehydration exposure to film mechanics and reversibility for high-concentration biologics. Using a bench-scale apparatus with controlled airflow, we observe orders-of-magnitude increases in interfacial storage modulus (<i>G</i>') with accumulated mass loss (<i>m</i>) and identify conditions where films fail to fully redissolve on minutes time scales. We define four portable readouts, maximum film strength (<i>G</i><sub>M</sub><sup>'</sup>), final film strength (<i>G</i><sub>F</sub><sup>'</sup>), imbibition time (<i>t</i><sub>Imb</sub>), and dissolving time (<i>t</i><sub>Dis</sub>)─to translate viscoelastic traces into process decision variables. Normalization by hydrodynamic volume fraction (ϕ<sub>hyd</sub>) exposes two packing thresholds that organize mechanics and kinetics: a transition near random loose packing (RLP, ϕ<sub>RLP</sub> ≈0.56), where percolation limits rearrangement and attenuates growth of <i>G</i><sub>M</sub><sup>'</sup>, and a second near random close packing (RCP, ϕ<sub>RCP</sub> ≈0.64), where bulk jamming undercuts further strengthening and slows film disintegration. Consistently, <i>t</i><sub>Imb</sub> steeply scales once mass loss approaches ∼30% (mapping toward RCP), while <i>t</i><sub>Dis</sub> reflects a protein diffusion-dominated recovery. A critical ∼52-55% mass-loss window marks a sharp rise in <i>G</i><sub>F</sub><sup>'</sup> and elastic persistence (<i>G</i>' > <i>G</i>″) after imbibition, indicating conditional irreversibility on process time scales. Together, these results yield an actionable "no-film/at-risk" map indexed to exposure dehydration flux, time, and formulation, providing quantitative limits for downtime and rewet strategies in fill-finish.

Authors

Institutions

Publication Details

Journal
Molecular Pharmaceutics
Published
2025-11-16
DOI
https://doi.org/10.1021/acs.molpharmaceut.5c01406
Citations
1
Primary Topic
Protein purification and stability
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Dehydration–Diffusion Competition Framework Predicts Interfacial Film Risk in High-Concentration Biologics Fill-Finish

Adam Procopio, Wei Xu, Hanmi Xi, Iriny Ekladious et al.
1 citations
Molecular Pharmaceutics
Protein purification and stability
0.81
article

A Dehydration–Diffusion Competition Framework Predicts Interfacial Film Risk in High-Concentration Biologics Fill-Finish

Adam Procopio, Wei Xu, Hanmi Xi, Iriny Ekladious, Katelyn Smith, Qi Gao, Mark A. McCoy, Yu‐Jiun Lin, Ruomeng Qiu, Yu Tian
article en
1 citations

Abstract

High-concentration protein formulations are increasingly demanded for the development of subcutaneous injections owing to its clinical and commercial advantages. However, their high protein concentrations can lead to dried residues, causing failures in manufacturing operations such as piston pump seizing and filling needle clogging. Transient dehydration during fill-finish holds can generate interfacial viscoelastic films that resist redissolution and perturb delivery performance. Here, we establish an operational framework that links dehydration exposure to film mechanics and reversibility for high-concentration biologics. Using a bench-scale apparatus with controlled airflow, we observe orders-of-magnitude increases in interfacial storage modulus (<i>G</i>') with accumulated mass loss (<i>m</i>) and identify conditions where films fail to fully redissolve on minutes time scales. We define four portable readouts, maximum film strength (<i>G</i><sub>M</sub><sup>'</sup>), final film strength (<i>G</i><sub>F</sub><sup>'</sup>), imbibition time (<i>t</i><sub>Imb</sub>), and dissolving time (<i>t</i><sub>Dis</sub>)─to translate viscoelastic traces into process decision variables. Normalization by hydrodynamic volume fraction (ϕ<sub>hyd</sub>) exposes two packing thresholds that organize mechanics and kinetics: a transition near random loose packing (RLP, ϕ<sub>RLP</sub> ≈0.56), where percolation limits rearrangement and attenuates growth of <i>G</i><sub>M</sub><sup>'</sup>, and a second near random close packing (RCP, ϕ<sub>RCP</sub> ≈0.64), where bulk jamming undercuts further strengthening and slows film disintegration. Consistently, <i>t</i><sub>Imb</sub> steeply scales once mass loss approaches ∼30% (mapping toward RCP), while <i>t</i><sub>Dis</sub> reflects a protein diffusion-dominated recovery. A critical ∼52-55% mass-loss window marks a sharp rise in <i>G</i><sub>F</sub><sup>'</sup> and elastic persistence (<i>G</i>' > <i>G</i>″) after imbibition, indicating conditional irreversibility on process time scales. Together, these results yield an actionable "no-film/at-risk" map indexed to exposure dehydration flux, time, and formulation, providing quantitative limits for downtime and rewet strategies in fill-finish.

Molecular PharmaceuticsVol. 22(12)
Merck & Co., Inc., Rahway, NJ, USA (United States) (US), Clinical Science Institute (US)
Openalex Percentile: Top 22%
Protein purification and stability
0.81
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.