Evidence map›Paper›PMID 41599126›Full record

ReviewPharmaceutics2025

Experimental and Modeling-Based Approaches for Mechanistic Understanding of Pan Coating Process-A Detailed Review.

Behrad Aminahmadi, Elise Vaes, Filip Willemse, Domenica Braile, Luz Naranjo Gomez, Sune Klint Andersen, Thomas De Beer, Ashish Kumar

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Behrad AminahmadiPharmaceutical Engineering Research Group (PharmaEng), Department of Pharmaceutical Analysis, Ghent University, Campus Heymans, Ottergemsesteenweg 460, 9000 Gent, Oost-Vlaanderen, Belgium.ORCID 0009-0001-1233-5989
Elise VaesJanssen Pharmaceutica NV, a Johnson & Johnson Company, Turnhoutseweg 30, 2340 Antwerp, Beerse, Belgium.
Filip WillemseJanssen Pharmaceutica NV, a Johnson & Johnson Company, Turnhoutseweg 30, 2340 Antwerp, Beerse, Belgium.ORCID 0009-0000-5265-6886
Domenica BraileJanssen Pharmaceutica NV, a Johnson & Johnson Company, Turnhoutseweg 30, 2340 Antwerp, Beerse, Belgium.
Luz Naranjo GomezJanssen Pharmaceutica NV, a Johnson & Johnson Company, Turnhoutseweg 30, 2340 Antwerp, Beerse, Belgium.
Sune Klint AndersenJanssen Pharmaceutica NV, a Johnson & Johnson Company, Turnhoutseweg 30, 2340 Antwerp, Beerse, Belgium.ORCID 0000-0002-9721-2821
Thomas De BeerLaboratory of Pharmaceutical Process Analytical Technology (LPPAT), Department of Pharmaceutical Analysis, Ghent University, Campus Heymans, Ottergemsesteenweg 460, 9000 Gent, Oost-Vlaanderen, Belgium.
Ashish KumarPharmaceutical Engineering Research Group (PharmaEng), Department of Pharmaceutical Analysis, Ghent University, Campus Heymans, Ottergemsesteenweg 460, 9000 Gent, Oost-Vlaanderen, Belgium.ORCID 0000-0001-6715-2314

Funding

VLAIO (Agentschap Innoveren \& Ondernemen) HBC.2022.0994
6 · The paper itself

Abstract

Tablet film coating is governed by three interrelated phenomena, namely, tablet mixing, coating-liquid spraying, and liquid evaporation, which dominate the critical quality attributes (CQAs) of the final product. This review examines how differences in coater design, key process parameters, and quality control strategies impact these phenomena and ultimately affect inter-tablet and intra-tablet coating variability. Two complementary approaches for understanding and optimizing the process are evaluated. The experimental approach, involving Design of Experiments (DoE), retrospective data analysis, and advanced Process Analytical Technology (PAT), provides empirical insight into factor-response relationships and enables real-time quality assurance. Simultaneously, model-based approaches, including thermodynamic, spray-dynamics, and particle-dynamics modelling, offer mechanistic understanding of heat and mass transfer, droplet deposition patterns, and tablet motion. Although these sub-models have advanced considerably over the years, a predictive model that treats the coating process in its entirety is still missing. Overall, this review underscores that future advancements will require integrating experimental and model-based methodologies to achieve robust, quality-driven, and predictive control of tablet film coating processes.

Indexed as

critical quality attributesdata-driven modellingdiscrete element methodpharmaceutical process modellingprocess analytical technologyscale-upspray dynamicstablet film coatingthermodynamic modelling

Identifiers

PMID41599126
PMCPMC12845387

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.