TY - JOUR
T1 - Mixing and transport during pharmaceutical twin-screw wet granulation: Experimental analysis via chemical imaging
AU - Kumar, Ashish
AU - Vercruysse, Jurgen
AU - Toiviainen, Maunu
AU - Panouillot, Pierre-Emmanuel
AU - Juuti, Mikko
AU - Vanhoorne, Valérie
AU - Vervaet, Chris
AU - Remon, Jean Paul
AU - Gernaey, Krist
AU - Beer, Thomas De
AU - Nopens, Ingmar
PY - 2014
Y1 - 2014
N2 - Twin-screw granulation is a promising continuous alternative for traditional batch high shear wet gran-
ulation (HSWG). The extent of HSWG in a twin screw granulator (TSG) is greatly governed by the resi-
dence time of the granulation materials in the TSG and degree of mixing. In order to determine the
residence time distribution (RTD) and mixing in TSG, mostly visual observation and particle tracking
methods are used, which are either inaccurate and difficult for short RTD, or provide an RTD only for a
finite number of preferential tracer paths. In this study, near infrared chemical imaging, which is more
accurate and provides a complete RTD, was used. The impact of changes in material throughput (10–
17 kg/h), screw speed (500–900 rpm), number of kneading discs (2–12) and stagger angle (30–90
°
)on
the RTD and axial mixing of the material was characterised. The experimental RTD curves were used
to calculate the mean residence time, mean centred variance and the Péclet number to determine the
axial mixing and predominance of convective over dispersive transport. The results showed that screw
speed is the most influential parameter in terms of RTD and axial mixing in the TSG and established a
significant interaction between screw design parameters (number and stagger angle of kneading discs)
and the process parameters (material throughput and number of kneading discs). The results of the study
will allow the development and validation of a transport model capable of predicting the RTD and macro-
mixing in the TSG. These can later be coupled with a population balance model in order to predict gran-
ulation yields in a TSG more accurately
AB - Twin-screw granulation is a promising continuous alternative for traditional batch high shear wet gran-
ulation (HSWG). The extent of HSWG in a twin screw granulator (TSG) is greatly governed by the resi-
dence time of the granulation materials in the TSG and degree of mixing. In order to determine the
residence time distribution (RTD) and mixing in TSG, mostly visual observation and particle tracking
methods are used, which are either inaccurate and difficult for short RTD, or provide an RTD only for a
finite number of preferential tracer paths. In this study, near infrared chemical imaging, which is more
accurate and provides a complete RTD, was used. The impact of changes in material throughput (10–
17 kg/h), screw speed (500–900 rpm), number of kneading discs (2–12) and stagger angle (30–90
°
)on
the RTD and axial mixing of the material was characterised. The experimental RTD curves were used
to calculate the mean residence time, mean centred variance and the Péclet number to determine the
axial mixing and predominance of convective over dispersive transport. The results showed that screw
speed is the most influential parameter in terms of RTD and axial mixing in the TSG and established a
significant interaction between screw design parameters (number and stagger angle of kneading discs)
and the process parameters (material throughput and number of kneading discs). The results of the study
will allow the development and validation of a transport model capable of predicting the RTD and macro-
mixing in the TSG. These can later be coupled with a population balance model in order to predict gran-
ulation yields in a TSG more accurately
KW - Twin-screw granulation
KW - Residence time distribution
KW - Axial mixing
KW - NIR chemical imaging
KW - Screw configuration
KW - Flow regime
U2 - 10.1016/j.ejpb.2014.04.004
DO - 10.1016/j.ejpb.2014.04.004
M3 - Journal article
C2 - 24768925
SN - 0939-6411
VL - 87
SP - 279
EP - 289
JO - European Journal of Pharmaceutics and Biopharmaceutics
JF - European Journal of Pharmaceutics and Biopharmaceutics
IS - 2
ER -