Mechanistic modelling of fluidized bed drying processes of wet porous granules: A review

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Mechanistic modelling of fluidized bed drying processes of wet porous granules : A review. / Mortier, Séverine Thérèse F.C.; De Beer, Thomas; Gernaey, Krist; Remon, Jean Paul; Vervaet, Chris; Nopens, Ingmar.

In: European Journal of Pharmaceutics and Biopharmaceutics, Vol. 79, No. 2, 2011, p. 205-225.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

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Mortier, Séverine Thérèse F.C.; De Beer, Thomas; Gernaey, Krist; Remon, Jean Paul; Vervaet, Chris; Nopens, Ingmar / Mechanistic modelling of fluidized bed drying processes of wet porous granules : A review.

In: European Journal of Pharmaceutics and Biopharmaceutics, Vol. 79, No. 2, 2011, p. 205-225.

Publication: Research - peer-reviewJournal article – Annual report year: 2011

Bibtex

@article{f8a8ffa6adc74f29b26cb40d4d9975be,
title = "Mechanistic modelling of fluidized bed drying processes of wet porous granules: A review",
keywords = "Porous material, Pharmaceutical tablets, PBM, Drying, CFD, Mechanistic modelling",
publisher = "Elsevier BV",
author = "Mortier, {Séverine Thérèse F.C.} and {De Beer}, Thomas and Krist Gernaey and Remon, {Jean Paul} and Chris Vervaet and Ingmar Nopens",
year = "2011",
doi = "10.1016/j.ejpb.2011.05.013",
volume = "79",
number = "2",
pages = "205--225",
journal = "European Journal of Pharmaceutics and Biopharmaceutics",
issn = "0939-6411",

}

RIS

TY - JOUR

T1 - Mechanistic modelling of fluidized bed drying processes of wet porous granules

T2 - A review

A1 - Mortier,Séverine Thérèse F.C.

A1 - De Beer,Thomas

A1 - Gernaey,Krist

A1 - Remon,Jean Paul

A1 - Vervaet,Chris

A1 - Nopens,Ingmar

AU - Mortier,Séverine Thérèse F.C.

AU - De Beer,Thomas

AU - Gernaey,Krist

AU - Remon,Jean Paul

AU - Vervaet,Chris

AU - Nopens,Ingmar

PB - Elsevier BV

PY - 2011

Y1 - 2011

N2 - Fluidized bed dryers are frequently used in industrial applications and also in the pharmaceutical industry. The general incentives to develop mechanistic models for pharmaceutical processes are listed, and our vision on how this can particularly be done for fluidized bed drying processes of wet granules is given. This review provides a basis for future mechanistic model development for the drying process of wet granules in pharmaceutical processes. It is intended for a broad audience with a varying level of knowledge on pharmaceutical processes and mathematical modelling. Mathematical models are powerful tools to gain process insight and eventually develop well-controlled processes. The level of detail embedded in such a model depends on the goal of the model. Several models have therefore been proposed in the literature and are reviewed here. The drying behaviour of one single granule, a porous particle, can be described using the continuum approach, the pore network modelling method and the shrinkage of the diameter of the wet core approach. As several granules dry at a drying rate dependent on the gas temperature, gas velocity, porosity, etc., the moisture content of a batch of granules will reside in a certain interval. Population Balance Model (ling) (PBM) offers a tool to describe the distribution of particle properties which can be of interest for the application. PBM formulation and solution methods are therefore reviewed. In a fluidized bed, the granules show a fluidization pattern depending on the geometry of the gas inlet, the gas velocity, characteristics of the particles, the dryer design, etc. Computational Fluid Dynamics (CFD) allows to model this behaviour. Moreover, turbulence can be modelled using several approaches: Reynolds-averaged Navier–Stokes Equations (RANS) or Large Eddy Simulation (LES). Another important aspect of CFD is the choice between the Eulerian–Lagrangian and the Eulerian–Eulerian approach. Finally, the PBM and CFD frameworks can be integrated, to describe the evolution of the moisture content of granules during fluidized bed drying.

AB - Fluidized bed dryers are frequently used in industrial applications and also in the pharmaceutical industry. The general incentives to develop mechanistic models for pharmaceutical processes are listed, and our vision on how this can particularly be done for fluidized bed drying processes of wet granules is given. This review provides a basis for future mechanistic model development for the drying process of wet granules in pharmaceutical processes. It is intended for a broad audience with a varying level of knowledge on pharmaceutical processes and mathematical modelling. Mathematical models are powerful tools to gain process insight and eventually develop well-controlled processes. The level of detail embedded in such a model depends on the goal of the model. Several models have therefore been proposed in the literature and are reviewed here. The drying behaviour of one single granule, a porous particle, can be described using the continuum approach, the pore network modelling method and the shrinkage of the diameter of the wet core approach. As several granules dry at a drying rate dependent on the gas temperature, gas velocity, porosity, etc., the moisture content of a batch of granules will reside in a certain interval. Population Balance Model (ling) (PBM) offers a tool to describe the distribution of particle properties which can be of interest for the application. PBM formulation and solution methods are therefore reviewed. In a fluidized bed, the granules show a fluidization pattern depending on the geometry of the gas inlet, the gas velocity, characteristics of the particles, the dryer design, etc. Computational Fluid Dynamics (CFD) allows to model this behaviour. Moreover, turbulence can be modelled using several approaches: Reynolds-averaged Navier–Stokes Equations (RANS) or Large Eddy Simulation (LES). Another important aspect of CFD is the choice between the Eulerian–Lagrangian and the Eulerian–Eulerian approach. Finally, the PBM and CFD frameworks can be integrated, to describe the evolution of the moisture content of granules during fluidized bed drying.

KW - Porous material

KW - Pharmaceutical tablets

KW - PBM

KW - Drying

KW - CFD

KW - Mechanistic modelling

U2 - 10.1016/j.ejpb.2011.05.013

DO - 10.1016/j.ejpb.2011.05.013

JO - European Journal of Pharmaceutics and Biopharmaceutics

JF - European Journal of Pharmaceutics and Biopharmaceutics

SN - 0939-6411

IS - 2

VL - 79

SP - 205

EP - 225

ER -