Lpdt11(04).book(lpdt_a_176964.fm)
Pharmaceutical Development and Technology, 11:403–408, 2006 Copyright Informa HealthcareISSN: 1083-7450 print / 1097-9867 onlineDOI: 10.1080/10837450600770072
Assessment of Dynamic Image Analysis as a Surrogate Dissolution Test
for a Coated Multiparticulate Product
Dynamic Image Analysis
Grant Heinicke
Formulation Development, Actavis, Elizabeth, NJ, USA
Joseph B. Schwartz
Department of Pharmaceutical Sciences, University of the Sciences in Philadelphia, Philadelphia, PA, USA
in drug release with changes in particle size distribution
Dynamic image analysis (DIA) was used to measure parti-
(PSD) on a model system.
cle diameter (D50) of in—process samples removed during fluidbed coating. A single, rapid measurement gave D50 to within4 μm. Samples removed at intervals of 2% weight gain werereadily distinguishable by DIA and by their drug release profiles.
MATERIALS AND METHODS
Drug release was related to D50. DIA was assessed as a surro-gate dissolution test with considerable potential. Current limita-
A description of the model system used for this work
tions of the approach were presented.
was reported previously.[4] Briefly, the system consists ofdiltiazem hydrochloride (Profarmaco, Milan, Italy) layered
dynamic image analysis, drug release, Wurster
onto sugar spheres (30–35 mesh, Paulaur, Cranbury, NJ)
coating, multi-particulate, pellet
using a solution of HPC (Hercules, Wilmington, DE) inalcohol (Equistar, Houston, TX) as a binder. The polymercoat consists of Eudragits RS and RL (Degussa, Piscataway,NJ), triethyl citrate (Moreflex, Greensboro, NC), sodium
lauryl sulfate (Stepan, Northfield, IL), and talc (Luzenac,Denver, CO). The coat was applied from alcohol. Cores
Fluid bed coated multiparticulates constitute an
were made in a GRG-100 rotor in a GPCG-200 fluid bed,
important class of solid oral dosage forms. Preparation of
and pellets were made in a 4″ Wurster in a GPCG-3 fluid
these dosage forms has been well described in the litera-
bed (GlattAir Techniques, Ramsey, NJ) using the condi-
ture.[1,2] The particles of interest in this article are reservoir
tions given in Table 1.
devices, consisting of rapidly dissolving cores that are
Seven repeat coating experiments were conducted
subsequently coated with a polymer membrane to control
from a single lot of diltiazem cores. Two bulk coating
drug release. As controlled-release coating material is
solutions were prepared; 1244 g of coating solution was
applied in a fluid bed, polymer membrane thickness
dispensed from either bulk for each coating experiment
increases,[3,4] resulting in a decrease in drug release as
taking care to ensure that dissolved solids were equal at
measured by dissolution testing.[5–9] Changes in mem-
the time spraying by replacing solvent lost to evaporation.
brane thickness can be measured by dynamic image analy-
Samples were removed at 7, 9, 11, 13, 15, 17, and 19%
sis (DIA).[10] In this work we demonstrate the potential of
theoretical polymer coat weight (TPCW) via a sample port
DIA as a surrogate dissolution test by correlating changes
without interruption to the spraying process. Multipleinsertions of the probe were used to remove between 11and 14 g for DIA and dissolution analysis. TPCW was cal-
Received 21 December 2005, Accepted 3 April 2006.
culated as weight of dissolved coating solids applied over
Address correspondence to Grant Heinicke, Formulation
core weight plus dissolved solids weight × 100%. No cor-
Development, Actavis, 200 Elmora Avenue, Elizabeth, NJ 07207;
rections were made for the weight of samples removed.
Tel.: 908-659-2599; Fax: 908-659-2390; E-mail:
[email protected]
Coating efficiency was calculated as measured weight
G. Heinicke and J.B. Schwartz
Table 1
the replicates for the time to 50% released was generally
Manufacturing conditions
less than 4 min, with a maximum difference of 10 min. Linearregressions were determined by using Microsoft Excel 2000
or JMP software, version 5.1.1 (SAS Institute Inc., Cary,
NC). Statistical calculations were performed by using JMP.
Process air volume
RESULTS AND DISCUSSION
Coating efficiency ranged between 92.7 and 98.2% for
the seven coating experiments. Measured weight gains on
small experiments are susceptible to loss of particles during
sampling and discharge, and the range of coating efficiencies
was not considered excessive. D50 was determined on eachTPCW sample from each coat application (49 samples).
Results are presented in Table 2. Each PSD result comes
gain over theoretical weight gain × 100%. DIA was con-
from approximately 15,000 particles, and measurement was
ducted on a Camsizer (Horiba Instruments, Irvine, CA),
complete within 3–4 min of removal of the sample from the
and the median value (D50) was taken from the PSD
process. A single PSD measurement was used for each sam-
report generated. A single PSD measurement of each sam-
ple to demonstrate the real–time capability of the instrument
ple was used except where noted in the text. The Camsizer
with the intention of in-process use of the results.
was calibrated before use by using the vendor supplied
The variation in D50s at any TPCW for the seven
calibration reticule (ISO9000 traceable standard). Dissolu-
experiments (columns of Table 2) spanned a maximum of
tions were performed in USP Apparatus II (Hanson SR6,
4 μm. This was the extent of variation on repeat measure-
Chatsworth, CA, or Distek 5100, North Brunswick, NJ) at
ments of a single sample (Figure 1, footnote to Table 2)
100 rpm using 900 mL of helium degassed 0.1 N HCl
and from other work.[4] Repeat measures of a single sample
equilibrated to 37°C. A quantity of pellets containing 300 mg
resulted in a standard deviation of about 1 μm (Table 2),
of diltiazem HCl was added to each dissolution kettle.
but increased the time required to obtain a D50 value. For
Media were withdrawn at predetermined times automati-
in-process use, a compromise must be struck between the
cally, and diltiazem concentration was measured by UV at
time taken to get a result and progress of the batch.
238 nm. The time to release 50% (T50) was interpolated
Typical PSD data for a series of samples from a single
from the line of best fit through the linear portion of the
coating experiment are shown in Figure 2.[11] The 2%
drug release profile. Each reported drug release profile is
TPCW increments from the coating experiments resulted
the average of at least two replicates. Agreement between
in uniform translations of PSDs along the size axis. This
Table 2
D50 (μm) results for seven experiments at each of seven coat weights
Experiment no.
aEight measurements of this sample were 994, 994, 995, 995, 994, 996, 994, and 998, average of 995.0 ± 1.41 μm. This apparent
size difference was attributed to the absence of dynamic calibration and the time lapse between the sequences of measurements,giving ample opportunity for accidental alteration of the guide (see text). NA, not applicable.
Dynamic Image Analysis
Because the Camsizer is nondestructive, each of the
samples measured in Figure 2 was recovered and tested for
drug release. The data are presented in Figure 3.[11]
The 2% TPCW increase of each successive sample
increased T50 by about 1 hr. This relationship is shown in
graphically in Figure 4.
The linearity of the D50 changes with TPCW in Table 2
combined with the linearity of T50 changes with TPCW in
900 1000 1100 1200
Figure 4 results in a linear relationship between T50 and
Size Classes (um)
D50. The relationship between T50 and D50 for experi-
Repeat PSD measures of the 15% TPCW sample
ment 3 is shown in Figure 5. The line can be used to calcu-
from Experiment #3.
late T50, with units of hours, from D50 measurements thatare accessible in minutes.
This plot can be used as a standard curve for subse-
quent samples. From the slope of the line in Figure 5, each
micrometer change in D50 resulted in about 13-min
change in T50. The D50s of the seven samples with 15%
TPCW ranged from 998 to 1002 um (Table 2). Drug
release from the 15% TPCW samples was measured
(Figure 6), and T50s ranged from 528 to 557 min. The
reproducibility of manufacture, of drug release, and of
D50 measurements shown in these examples supports
900 1000 1100 1200
the use of D50 measurements for calculation of T50. In
Size Classes (um)
PSDs from which D50 data were taken for
Experiment #3.
sequence has been observed for all Camsizer measure-
ments on coating of rotor–granulated cores conducted in
our laboratory, leading to confidence that random error is
not confounding data interpretation within a series of mea-
surements. Based on the work of Paine[12] and Parrott,[13]the numbers of particles in the DIA measurements in this
work were sufficient to adequately represent the batch,
Time (min)
particularly because PSDs of drug layered on sugarspheres are normal[10,14] and reasonably narrow. In addi-
Drug release profiles from all TPCW samples from
tion, fluid bed processes and in-process sampling have
Experiment #3.
been shown to be sufficiently random to allow samplingfrom the sample probe in the manner described in this
y = 58.054x - 317.7
Uniformity of translation of the PSD histograms with
TPCW in Figure 2 and the other six experiments can
be appreciated by plotting the data in Table 2. The plots
had the same slopes (Appendix 1) with
r2 values between
0.9945 and 0.9992. The linearity of these relationships,
as opposed to the theoretical cubic relationship of adding
volume to a sphere, was explained by the small size
increase due to coating relative to the starting diameter of
the particles themselves. Link and Schlunder[15] made a
Coat Weight (%)
similar approximation for a coating process without signif-icant error.
T50 versus TPCW for experiment #3.
G. Heinicke and J.B. Schwartz
rapid rate of diameter change is not anticipated with larger
batch sizes. A typical commercial scale process would
y = 12.864x - 12326
apply around 0.2% TPCW in 5 min.
The calibration method recommended by the vendor
consists of taking an image of a reticule in a fixed plane
at optimum distance from the screen. The computer then
self-adjusts for the known image sizes. Particle size
measurement itself is a dynamic process in which parti-
cles flow with a distribution of trajectories with respect
to screen distance. Consequently, image size is a func-
tion of particle trajectory during measurement but not
during calibration. Adding a guide narrows the distribu-
T50 versus D50 for Experiment #3.
tion of particle trajectories during measurement, but theposition of the guide itself translates the PSD along thesize axis. Although measurement of a series of sampleswas accurate if made sequentially, there is no assurance
other words, DIA was a suitable surrogate for dissolution
that the position of the guide did not eventually get
altered. An alternative calibration method requiring a
The same lot of cores was used throughout this work
dynamic measurement of standard particles would over-
to assess the reproducibility of the processes of coating,
come this limitation, and this improvement was dis-
dissolution, and image analysis without the influence of
cussed with the vendor. Such a calibration would ensure
core lot–to–lot variability. Reducing variability was pre-
conformity over time to a standard curve such as that in
ferred for initial assessment of DIA as a surrogate for dis-
solution although it was understood that materials,[16]processing equipment and processing conditions[17,18]determine size and surface morphology of cores,[19–23]which in turn affect drug release. Polymer coat function is
known to be sensitive to coat thickness[24] and processingparameters[17,25,26] and can even be sensitive to seasonal
DIA was used to measure D50 of a multiparticulate
variation[27] if adequate controls are not in place. Use of
sample of 15,000 individuals within minutes of being
DIA as a surrogate for dissolution requires that all these
removed from a Wurster coating process. PSD measure-
influences be under control. In addition, although the
ments on samples containing this number of particles are
D50 measurement was available within 4 min of removal
expected to adequately represent the population from
of the sample from the process, 2% TPCW was applied
which they are taken. D50 results from single measure-
in approximately 11 min in these experiments. Therefore,
ments were used to generate a relationship between size
around 1% TPCW was applied as D50 was measured,
and the drug release metric of T50. The relationship was
resulting in an increase of T50 by about 30 min. Such a
linear. It was shown that D50 results, accessible withinminutes, could be used to predict drug release (T50)results with considerable savings in testing time and effort.
If surrogate dissolution capability by DIA is sought, for-
mulations may be designed so that drug release is lesssensitive to coat thickness than is this system. Control of
material, formulation, and process variables that affect
coat function with respect to thickness are required for
application of this method.
This work was supported by Alpharma/Purepac. The
Time (min)
authors thank Dr. Stan Deming of Statistical Designs,
Drug release from the 15% TPCW sample from each
Houston, TX, and Dr. Garth Boehm of Actavis for many
Dynamic Image Analysis
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11. These data were presented in a poster at AAPS in Baltimore,
APPENDIX 1
12. Paine, A.J. Error estimates in the sampling from particle
Testing the significance of the slopes was done by the
size distributions. Part. Part. Syst. Charact.
1993,
10,
method of Extra Sums of Squares. A model was fitted to the
entire data set relating TPCW and D50. Two additional mod-
13. Parrott, E.L. Milling. In
The Theory and Practice of Indus-
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trial Pharmacy, 3rd Ed.; Lachman L.; Lieberman, H.; Kanig,
J. Eds.; Lea & Febiger: Philadelphia,
1986, 21–46.
14. Borgquist, P.; Zackrisson, G.; Nilsson, B.; Axelsson, A.
Simulation and parametric study of a film–coated
controlled–release pharmaceutical. J. Control. Release
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80, 229–245.
SS 15912.020 Error
15. Link, K.C; Schlunder, E. Fluidized bed spray granulation.
Investigation of the coating process on a single sphere.
Chem. Eng. Process.
1997,
36, 443–457.
16. Armstrong, N.A. Functionality related tests for excipients.
Int. J. Pharm.
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17. Jones, D.M. Factors to consider in fluid-bed processing.
Pharm. Technol.
1985, April, 50–62.
18. Guignon, B.; Regalado, E.; Duquenoy, A.; Dumoulin, E.
Helping to choose operating parameters for a coating fluid
Sum of squares tree for the Reduced Model, Expanded
bed process. Powder Technol.
2003,
130, 193–198.
Model, and Further Expanded Model of the data in Table 2.
G. Heinicke and J.B. Schwartz
intercepts for individual experiments and then slopes for indi-
is the sum of squares from the model,
vidual experiments. The models are termed "the Reduced
is the error unexplained by the model, and
Model," "the Expanded Model," and "the Further Expanded
is the degrees of freedom for the terms in the
Model." A "Sum of Squares Tree" was constructed (Figure
numerator. Significance of the
F values was obtained from
A1) and
F values were calculated by using Eq. (1)
tables. For example,
F for the Expanded Model is (24.408/6)/(68.837/41) = 2.42, which is significant for 6 and 41degrees of freedom at the 95% level.
F for the further
expanded model was 1.26, which was not significant for 6
and 35 degrees of freedom at the 95% level. It was con-
cluded that the slopes of the lines were not statistically sig-
Source: http://www.christison.co.uk/cms/thesite/public/uploads/tblproducts_file/1183984809_512.pdf
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