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ISSN No: 2321 – 8630, V – 1, I – 1, 2014 Journal Club for Pharmaceutical Sciences (JCPS)
Manuscript No: JCPS/RES/2014/13, Received on: 02/08/2014, Revised on: 07/08/2014, Accepted on: 12/08/2014
RESEARCH ARTICLE
©Copyright reserved by “Journals Club & Co.” 58
Formulation and Evaluation of Sustained Release Matrix Tablets of Diltiazem Hydrochloride
Bhut VZ*1, Shah KK1, Patel KN1, Patel PA1
1Department of Pharmaceutics, Shree Swaminarayan Sanskar Pharmacy College, Zundal, Gandhinagar, Gujarat, India.
ABSTRACT The purpose of present investigation was to develop sustained release matrix tablet of highly water soluble drug diltiazem hydrochloride by wet granulation method by using different hydrophilic (HPMC K4M, HPMC K1M, HPMC K100 M, Na CMC, Na alginate) and different hydrophobic (Eudragit RSPO, Eudragit RLPO, Eudragit RS-100, Eudragit RL-100, Ethyl cellulose) polymers. A 32 full factorial design was applied. The concentration of HPMC K15M in mg (X1) and concentration of Eudragit RSPO in mg (X2) were selected as independent variables. The %CDR at the end of 3 hrs (Q3) and %CDR at the end of 12 hrs (Q12) were selected as dependent variables. The prepared tablets were evaluated for hardness, friability, drug content, In vitro drug release. FT-IR, DSC and physical compatibility study were conducted for drug, and drug excipient mixture for interactions if any. The results indicated that concentration of HPMC K15M (X1) and concentration of Eudragit RSPO (X2) significantly affected the %CDR at the end of 3 hrs (Q3) and %CDR at the end of 12 hrs (Q12). Regression analysis and numerical optimization were performed to identify the best formulation. Formulation F11 prepared with HPMC K15M (70 mg) & Eudragit RSPO (10 mg) was found to be the best formulation with % CDR 20.32% and 96.59% at the end of 3 hrs and 12 hrs respectively. Optimized batch F11 showed similarity factor f2 value 69.14.
KEYWORDS Diltiazem Hydrochloride, Sustained Release Matrix Tablet, HPMC K15M, Eudragit RSPO, Sodium Alginate, Ethyl Cellulose, Calcium Channel Blocker
INTRODUCTION
Oral route has been the commonly adapted
and most convenient route for drug
delivery because of more flexibility in the
formulation, patient compliance and
convenient for a physician during dose
adjustment. When conventional dosage
forms are taken on schedule and more than
once daily, leads to fluctuations in plasma
drug concentration and doses may be
missed. Side effects and the need for
administration two or three times per day
*Address for Correspondence: Vibha Z. Bhut, Department of Pharmaceutics, Shree Swaminarayan Sanskar Pharmacy College, Zundal, Gandhinagar, Gujarat, India. E-Mail Id: [email protected]
© All Rights Reserved by “Journals Club & Co.” 59
in case of drug having short half-life and
when larger doses are required can
decrease patient compliance. To overcome
above demerits associated with
conventional dosage forms, sustained
release formulations have been designed
which maintain plasma level of drug for
prolong period hence reduce dosing
frequency and blood level fluctuations.
There is also enhanced patient
convenience and compliance, reduction in
adverse side effects and reduction in
overall health care costs due to reduction
in dosing frequency.
In present investigation the selected drug is
Diltiazem hydrochloride which is a potent
calcium channel blocker, is used in the
management of angina pectoris,
arrhythmia and hypertension. It has short
half-life (t1/2 = 3-4.5 hrs). Dosing
frequency is thrice a day. Normal dose is
60 mg thrice a day and increased upto 360
mg or 480 mg daily, if necessary. As a
result of its short half-life and the need for
administration more times per day, it is
highly desirable to develop an oral
sustained release formulation of this drug,
so as to reduced dosing frequency,
improve therapeutic effects with minimum
side effects and improved patient
compliance.
The matrix system is most common
method of modulating the drug release
because of their flexibility, cost-
effectiveness and broad regulatory
acceptance hydrophilic polymer matrix
systems are widely used in oral controlled
drug delivery to obtain a desirable drug
release profile.1
Materials & Methods
Materials
Diltiazem hydrochloride was obtained as a
gift sample from Torrent Research Centre
Bhat. HPMC K4M, K15M, K100M and
Ethyl Cellulose were purchased from
Rankem RFCL limited, New Delhi. Na
CMC, Na alginate, Talc, Magnesium
stearate, MCC and PVP K-30 was
purchased from Sd fine chem limited,
Mumbai. Eudragit RS-100, RL-100, RSPO
and RLPO were obtained as a gift sample
from Evonik Degussa India Pvt Limited,
Mumbai.
Method (Wet Granulation Method)
Diltiazem HCl and all the intra-granular
ingredients were weighed accurately and
individually passed through 40# sieve
respectively as per batch formula and
mixed geometrically. Then dough mass
was prepared by using PVP K30 in IPA
(5% W/V) as a granulating fluid. Granules
© All Rights Reserved by “Journals Club & Co.” 60
were prepared by passing dough mass
through 10# sieve and then dried at 400C
for 30 minutes in hot air oven. Dried
granules were passed through 22# sieve in
order to obtain uniform sized granules.
Granules were lubricated with Magnesium
stearate & Talc (which were passed
through 60# sieve). Granules were
compressed into tablet in rotary tablet
compression machine by using 10 mm
punch.
Formulation of Preliminary Batches
Batch F1-F5 were prepared by using
hydrophilic polymers and batch F6-F10
were prepared by combination of
hydrophilic and hydrophobic polymers.
Formulation of all ten batches were shown
in table 1 & 2
Formulation of Batches by 32 Factorial
Design
To investigate the effect of formulation
variables on the response variables and to
predict an optimized formulation, it was
decided to apply an experimental design.
A 32 factorial design was employed for the
preparation of the tablets possessing
optimal characteristics. The concentration
of HPMC K15M in mg (X1) and
concentration of Eudragit RSPO in mg
(X2) were selected as independent
variables. The %CDR at the end of 3 hrs
(Q3) and %CDR at the end of 12 hrs (Q12)
were selected as dependent variables
Evaluation of Granules
Angle of Repose 2
The angle of repose of prepared Diltiazem
granules was evaluated by simple funnel
method. The accurately weighed granules
were taken in a funnel. The height of the
funnel was adjusted by stand in such a way
that the tip of the funnel approximately 2
cm upper from surface of graph paper and
just touched the apex of the heap of the
granules after flow.
The granules were allowed to flow through
the funnel freely onto the surface. The
diameter of the powder cone was measured
and angle of repose was calculated using
the following equation
© All Rights Reserved by “Journals Club & Co.” 61
Table: 1 Formulation Batches Containing Hydrophilic polymer
Table: 2 Formulation Batches Containing Hydrophobic Polymer
Table: 3 Selection of Levels for Independent Variables and Coding of Variables
Ingredients (mg/tablet) F1 F2 F3 F4 F5 Diltiazem HCl 90 90 90 90 90 HPMC K4M 90 - - - -
HPMC K15M - 90 - - - HPMC K100M - - 90 - -
Na alginate - - - 90 - Na CMC - - - - 90
PVP K30 in IPA (5% w/v) q.s. q.s. q.s. q.s. q.s. Mg stearate (1%) 4 4 4 4 4
Talc (1%) 4 4 4 4 4 MCC 212 212 212 212 212
Total weight 400 mg
Ingredients (mg/tablet) F6 F7 F8 F9 F10 Diltiazem HCl 90 90 90 90 90 HPMC K15M 90 90 90 90 90 Ethyl cellulose 20 - - - - Eudragit RSPO - 20 - - - Eudragit RLPO - - 20 - -
Eudragit RS-100 - - - 20 - Eudragit RL-100 - - - - 20
PVP K30 in IPA (5% w/v) q.s. q.s. q.s. q.s. q.s. Mg stearate (1%) 4 4 4 4 4
Talc (1%) 4 4 4 4 4 MCC 192 192 192 192 192
Total weight 400 mg
Independent Variables X1 (mg) X2 (mg)
Low -1 70 10 Intermediate 0 90 15
High 1 110 20
© All Rights Reserved by “Journals Club & Co.” 62
Table: 4 Formulation Batches as Per 32 Factorial Design
tanα = H/R
where H and R are the height and radius
of the powder cone respectively
Bulk Density and Tapped Density 3,4
Both loose bulk density (LBD) and tapped
bulk density (TBD) were determined. A
quantity of 2g of powder from each
formula, previously lightly shaken to break
any agglomerates formed, was introduced
into a 10mL measuring cylinder. After the
initial volume was observed, the cylinder
was allowed to fall under its own weight
onto a hard surface from the height of
2.5cm at 5second intervals. The tapping
was continued until no further change in
volume was noted. LBD and TBD were
calculated using the following formulas-
LBD = weight of the Powder/Volume of the packing
TBD = weight of the Powder /tapped volume of the packing
Compressibility Index 5 The compressibility index of the granules
was determined by Carr’s compressibility
index formula for that is below-
Carr’s Index (%) = {(TBD-LBD) × 100}
/TBD
Hausner’s Ratio
Ingredients (mg/tablet) F11 F12 F13 F14 F15 F16 F17 F18 F19
Diltiazem HCl 90 90 90 90 90 90 90 90 90
HPMC K15M 70 70 70 90 90 90 110 110 110
Eudragit RSPO 10 15 20 10 15 20 10 15 20
MCC 222 217 212 202 197 192 182 177 172
PVP K30 in IPA (5% w/v) q.s. q.s. q.s. q.s. q.s. q.s. q.s. q.s. q.s.
Mg stearate (1%) 4 4 4 4 4 4 4 4 4
Talc (1%) 4 4 4 4 4 4 4 4 4
Total weight 400 mg
© All Rights Reserved by “Journals Club & Co.” 63
It is the ratio of bulk volume to tapped
volume or tapped density to bulk density.
Hausner’s ratio is an important character to
determine the flow property of powder and
granules. This can be calculated by the
following formula-
Hausner’s ratio = Tapped density / Bulk
density
Evaluation of Tablets
Thickness6
The thickness of the tablets was
determined using a thickness venires
calipers. Five tablets from each batch were
used, and average values were calculated.
Hardness7
It is the tensile strength of tablets
expressed in kg/cm2 by using the
Monsanto hardness tester. It is the pressure
required to break the tablet into two halves
by compression.
Weight Variation Test8,9
Weight variation test was done with 20
tablets. It is the individual variation of
tablet weight from the average weight of
20 tablets.
Friability10 This test was performed to know the effect
of friction and shocks on tablets.
Preweighed sample of tablets were placed
in the friabilator (Roche friabilator), and
operated for 100 revolutions (25 rpm
speed).
Tablets were dusted and reweighed. The
test complies if tablets not loose more than
1% of their weight.
Drug Content
Three tablets were selected randomly and
powdered. A quantity of this powder
equivalent to 90 mg diltiazem HCl was
dissolved in 100 ml of distilled water taken
in volumetric flask and filtered, 1.5 ml of
filtrate was taken in 100 ml volumetric
flask and diluted up to mark with distilled
water (13.5 mcg/ml).
Absorbance of this solution was measured
at 237 nm using distilled water as a blank
and content of diltiazem hydrochloride
was estimated.
In-Vitro Dissolution Study11
The in vitro dissolution studies were
carried out using USP apparatus type II (at
100 rpm. The dissolution medium
consisted of distilled water (900 mL),
maintained at temperature of 37°C ±
0.5°C.
The drug release at different time intervals
was measured by UV-visible
spectrophotometer at 237 nm. Dissolution
was carried out upto 12 hrs.
© All Rights Reserved by “Journals Club & Co.” 64
RESULT AND DISCUSSION Table: 5 Result of Evaluation of Precompression Parameters of Batches F1-F10
Batch code
Bulk density (gm/ml)
Tapped density (gm/ml)
Carr’s index(%)
Hausner’s ratio
Angle of repose ( 0
)
Flow property
F1 0.20±0.01 0.22±0.05 10±0.21 1.10±0.01 26.56±0.11 Excellent F2 0.19±0.06 0.20±0.02 5±0.09 1.05±0.07 25.46±0.29 Excellent F3 0.20±0.01 0.21±0.07 4.76±0.04 1.05±0.03 27.75±0.45 Excellent F4 0.20±0.03 0.23±0.01 13.04±0.57 1.15±0.04 33.69±0.82 Good F5 0.19±0.08 0.21±0.03 9.52±0.09 1.10±0.08 29.05±0.71 Excellent F6 0.19±0.01 0.22±0.05 13.6±0.18 1.15±0.01 35.53±0.33 Good F7 0.19±0.07 0.21±0.02 9.52±0.07 1.10±0.07 27.75±0.84 Excellent F8 0.19±0.01 0.22±0.07 13.6±0.42 1.15±0.03 33.69±0.53 Good F9 0.21±0.03 0.22±0.01 4.5±0.05 1.04±0.04 25.46 ±0.25 Excellent
F10 0.19±0.08 0.21±0.03 9.52±0.05 1.10±0.08 27.75±0.19 Excellent (All values are expressed as mean ± standard deviation, n=3)
Both bulk density and tapped density for
all the formulations varied from 0.19 to
0.21 gm/ml and 0.20 to 0.23 gm/ml
respectively.
The values obtained lies within the
acceptable range and not large differences
found between bulk density and tapped
density. This result helps in calculating the
% compressibility of the powder.
This percent compressibility of granules
was determined by Carr’s compressibility
index. The percent compressibility for all
the formulations lies within the range of
4.50 to 13.6 %. All formulations are
showing good compressibility. Hausner’s
ratio for all the formulation batches lies
within the range of 1.04 to 1.15.
The result obtained for angle of repose of
all batches was found to be in the range of
25.46 to 35.530. All the formulation
batches showed angle of repose below 300
which indicate that they have excellent
flow property except batches F4, F6 and
F8 which have good flow property.
© All Rights Reserved by “Journals Club & Co.” 65
Table: 6 Result of Evaluation of Post compression Parameters of Batches F1-F10
(All values are expressed as mean ± standard deviation)
Table: 7 Result of Evaluation of Precompression Parameters of Factorial Batches
(All values are expressed as mean ± standard deviation, n=3)
All the formulation batches passed the
weight variation test. The thickness and
diameter for all the formulation batches
was found to be in the range of 5.6 mm to
Batch code
Thickness (mm) [n=3]
Diameter (mm) [n=3]
Weight Variation
Test (±5%) [n=20]
Friability test
(<1%) [n=5]
Hardness (kg/cm2)
[n=3]
Drug Content
(%) [n=3]
F1 5.6±0.01 10.25±0.02 Pass 0.5±0.02 6.5±0.23 99.06±0.13
F2 6±0.02 10.26±0.01 Pass 0.65±0.11 5±0.16 94.80±0.55
F3 5.7±0.10 10.25±0.04 Pass 0.55±0.01 6±0.20 98.71±0.90
F4 6±0.08 10.27±0.05 Pass 0.65±0.13 5±0.16 97.93±0.83
F5 5.8±0.05 10.25±0.03 Pass 0.6±0.10 5.5±0.24 94.95±0.66
F6 5.6±0.03 10.26±0.06 Pass 0.5±0.01 6.5±0.23 93.47±0.35
F7 5.9±0.06 10.25±0.02 Pass 0.6±0.09 5.5±0.20 98.42±0.15
F8 6±0.01 10.28±0.07 Pass 0.65±0.07 5±0.16 98.88±0.93
F9 5.8±0.05 10.25±0.03 Pass 0.6±0.10 5.5±0.20 98.94±0.82
F10 5.9±0.03 10.26±0.02 Pass 0.6±0.03 5.5±0.23 96.66±0.75
Batch
Code
Bulk density
(gm/ml)
Tapped
Density
(gm/ml)
Carr’s
index
(%)
Hausner’s
ratio
Angle of
repose( ° )
Flow
Property
F11 0.20±0.01 0.22±0.03 10±0.21 1.10±0.03 27.27±0.36 Excellent
F12 0.18±0.04 0.20±0.01 10±0.46 1.11±0.01 25.46±0.84 Excellent
F13 0.19±0.02 0.21±0.02 9.52±0.19 1.10±0.05 28.12±0.22 Excellent
F14 0.19±0.01 0.21±0.01 9.52±0.33 1.10±0.02 26.35±0.19 Excellent
F15 0.20±0.03 0.22±0.02 10±0.54 1.10±0.06 25.89±0.67 Excellent
F16 0.20±0.01 0.22±0.01 10±0.71 1.10±0.04 27.64±0.53 Excellent
F17 0.20±0.03 0.21±0.04 4.76±0.87 1.05±0.01 29.11±0.72 Excellent
F18 0.19±0.02 0.21±0.02 9.52±0.55 1.10±0.05 26.49±0.43 Excellent
F19 0.20±0.03 0.21±0.03 4.76±0.92 1.05±0.03 28.31±0.92 Excellent
© All Rights Reserved by “Journals Club & Co.” 66
6 mm and 10.25 mm to 10.28 mm
respectively. The value obtained for %
friability lies within the range of 0.50 % to
0.65 % which was within the standard
limit of % friability that is less than 1%.
The hardness value for all batches was
found to be in the range of 5 kg/cm2 to 6.5
kg/cm2.
The granules for all nine factorial batches
were evaluated for bulk density which
ranged from 0.18 to 0.20 gm/ml, tapped
density which ranged from 0.20 to 0.22
gm/ml, Carr’s index ranged from 4.76 to
10 %, Hausner’s ratio ranged from 1.05 to
1.11 and angle of repose ranged from
25.46 to 29.11°.
All these results indicate that, the granules
possess excellent flow ability and
compressibility properties.
Table: 8 Result of Evaluation of Post compression Parameters of Factorial Batches
(All values are expressed as mean ± standard deviation)
Tablets of all nine factorial batches (F11 to
F19) passed weight variation test as the %
weight variation was within the
pharmacopoeial limits of 5%. Thickness
of all tablets was in the range between 5.6
mm to 6.0 mm. Diameter of all tablets was
in the range between 10.25 to 10.27 mm.
Hardness of tablets was in range between
5.0 to 6.5 kg/cm2. Friability was in range
between 0.50 to 0.65 %. Thus, all the
physical parameters of the manually
compressed tablets were quite within
control. Friability values were less than 1
% in all cases shows good mechanical
strength at the time of handling and
transports.
Batch code
Thickness (mm) [n=3]
Diameter (mm) [n=3]
Weight Variation
Test (±5%) [n=20]
Friability test (<1%)
[n=5]
Hardness (kg/cm2)
[n=3]
Drug Content (%)
[n=3]
F11 5.6±0.01 10.27±0.02 Pass 0.50±0.02 6.5±0.23 99.92±0.13
F12 5.9±0.02 10.25±0.01 Pass 0.60±0.11 5.5±0.16 99.91±0.55
F13 6.0±0.10 10.25±0.04 Pass 0.65±0.01 5±0.20 98.25±0.90
F14 5.7±0.08 10.26±0.05 Pass 0.55±0.13 6±0.16 98.74±0.83
F15 5.6±0.05 10.27±0.03 Pass 0.50±0.10 6.5±0.24 98.32±0.66
F16 6.0±0.03 10.25±0.06 Pass 0.65±0.01 5±0.23 99.29±0.35
F17 5.6±0.06 10.25±0.02 Pass 0.50±0.09 6.5±0.20 98.89±0.15
F18 5.7±0.01 10.25±0.07 Pass 0.55±0.07 6±0.16 99.50±0.93
F19 5.8±0.05 10.26±0.03 Pass 0.60±0.10 5.5±0.20 98.85±0.82
© All Rights Reserved by “Journals Club & Co.” 67
In-Vitro Drug Release Study
Fig. 1 : Drug Release Profile of Formulation F1 to F5
In formulation batches F1 to F5, five
different hydrophilic polymers (HPMC
K4M, HPMC K15M, HPMC K100M,
Sodium alginate, Sodium carboxymethyl
cellulose respectively) were used in the 1:1
ratio of Drug: Hydrophilic polymer. From
the In-vitro dissolution data, it was
observed that % cumulative drug release
(% CDR) from formulations F2 and F3
was 97.96% and 78.68% at the end of 12
hrs while %CDR from formulation F1 was
98.79% at the end of 10 hrs, F4 was
99.93% at the end of 6 hrs and % CDR
from formulation F5 was 98.40% at the
end of 8 hrs. So from result, it was
concluded that among the different grades
of HPMC which were used in present
investigation, HPMC K15M gave
maximum release upto desired period that
was 12 hrs in present investigation. So
HPMC K15M was selected as a
hydrophilic polymer for further study.
Fig. 2 : Drug Release Profile of
Formulation F6 to F10
In formulation F2, bursting effect was
observed at the stage of initial release
profile. Because of this bursting effect
there was need to introduce hydrophobic
polymer to reduce bursting effect by
imparting some hydrophobicity to drug
molecule. So in formulation F6 to F10,
five different hydrophobic polymers (EC,
Eudragit RSPO, Eudragit RLPO, Eudragit
RS-100, Eudragit RL-100 respectively)
were used at a concentration of 5% w/w.
© All Rights Reserved by “Journals Club & Co.” 68
The %CDR from formulations F6 to F10
was 63.75%, 57.49%, 59.51%, 68.39%
and 72.47% respectively at the end of 12
hrs. From the dissolution data of F6 to
F10, it was clearly observed that the
%CDR was less at the end of 12 hrs so in
further formulation there was only one
option to decrease the quantity of
hydrophobic polymer so as to achieve
maximum release of drug at the end of 12
hrs with no bursting effect at the initial
stage of release profile. So formulation
must be selected in such a manner that it
had less %CDR at the end of 3 hrs (initial
release profile) and 12 hrs so as it will not
show bursting effect and maximum release
of drug prior to desired period 12 hrs when
quantity of hydrophobic polymer will be
decreased in further study. From result,
conclusion drawn was that formulation F7
(containing Eudragit RSPO) was
optimized as it had %CDR less at the end
of 3 hrs and 12 hrs that was 14.14% and
57.49% respectively.
Fig. 3 : Drug Release Profile of Factorial Batches
From the dissolution data obtained from
factorial batches, it was observed that in
formulations containing same quantity of
HPMC K15M as quantity of Eudragit
RSPO increased the % CDR at the end of
3 hrs and so as 12 hrs decreased that was
due to hydrophobic nature of Eudragit
RSPO which will impart hydrophobicity to
the drug molecule so reduced bursting
effect at the initial stage of release profile.
It was also observed that in formulations
containing same quantity of Eudragit
© All Rights Reserved by “Journals Club & Co.” 69
RSPO as the quantity of HPMC K15M
increased the % CDR at the end of 12 hrs
decreased that was due to increase in
thickness of gel layer formed due to higher
quantity of HPMC K15M so drug
molecule took more time to diffused out
through more thickened gel layer. % CDR
from all nine factorial batches was shown
in table. It was concluded that batch F11
containing HPMC K15M 70 mg and
Eudragit RSPO 10 mg released maximum
amount of drug at the end of 12 hrs that is
96.59% with no bursting effect at the
initial stage of release profile (at the end of
3 hrs, %CDR was 20.32). So batch F11
was optimized.
Data Analysis
The polynomial equations relating the
responses, % CDR at the end of 3 hrs and
12 hrs to the transformed factor are shown
in the Table 6.15 and 6.16 respectively.
The polynomial equations can be used to
draw conclusions after considering the
magnitude of coefficient and the
mathematical sign it carries (i.e., negative
or positive). Analysis of variance
(ANOVA), which was performed to
identify insignificant factors. Since the
values of r2 are quite high for all the two
responses, i.e., 0.9824 to 0.9902, the
polynomial equations form excellent fits to
the experimental data and are highly
statistically valid.
Summary Output of Regression Analysis
for Effect of X1 and X2 on Q3 (% CDR at
the End of 3 hrs)
The coefficients of the polynomial
equations generated using MLRA for %
CDR at the end of 3 hrs of the tablets
containing varying concentration of
HPMC K15M and Eudragit RSPO studied
are listed in Table 9 along with the values
of r2. Coefficients with one factor
represent the effect of that particular factor
on responses while the coefficients with
more than one factor and those with
second order terms represent the
interaction between those factors and the
quadratic nature of the phenomena,
respectively. Positive sign in front of the
terms indicates synergistic effect while
negative sign indicates antagonistic effect
upon the responses. The Q3 for all batches
F11 to F19 showed good correlation co-
efficient of 0.9824. Variables which have
P-value less than 0.05, significantly affect
release profile. For response Q3 reduced
mathematical model was evolved omitting
the insignificant terms (p>0.05) by
adopting multiple regression analysis. The
main effect X1 and X2 and interaction
terms X1X2 were found significant as P
value was less than 0.05.
© All Rights Reserved by “Journals Club & Co.” 70
Table: 9 Summary Output of Regression Analysis for Effect of X1 and X2 on Q3
(% CDR at the end of 3 hrs)
Regression statistics
Multiple R 0.9935
R Square 0.9824
Adjusted R square 0.9531
Standard error 0.5233
Observations 9
Coefficients
Coefficient Coefficient value P-value
b0 18.88 0.0111
b1 -0.057 0.0278
b2 -3.43 0.0016
b12 -1.25 0.0472
b11 0.067 0.9098
b22 -0.56 0.3785
Equation:
Full Model
Y= 18.88-0.057X1-3.43X2-1.25X1X2+0.067X11-0.56X22
Reduced Model
Y= 18.88-0.057X1-3.43X2-1.25X1X2
© All Rights Reserved by “Journals Club & Co.” 71
Table: 10 Summary Output of Regression Analysis for Effect of X1 and X2 on Q12 (% CDR at the end of 12 hrs)
Summary Output of Regression Analysis for Effect of X1 and X2 on Q12 (% CDR at the End of 12 hrs) The coefficients of the polynomial
equations generated using MLRA for %
CDR at the end of 12 hrs of the tablets
containing varying concentration of
HPMC K15M and Eudragit RSPO studied
are listed in Table 10 along with the values
of r2. The Q12 for all batches F11 to F19
showed good correlation co-efficient of
0.9902. Variables which have P-value less
than 0.05, significantly affect release
profile. For response Q12 reduced
mathematical model was evolved omitting
the insignificant terms (p>0.05) by
adopting multiple regression analysis. The
Regression statistics
Multiple R 0.9951
R Square 0.9902
Adjusted R square 0.9741
Standard error 0.3581
Observations 9
Coefficients
Coefficient Coefficient value P-value
b0 72.55 0.0078
b1 -5.49 0.0233
b2 -2.68 0.0361
b12 -15.49 0.0012
b11 -0.12 0.9603
b22 0.83 0.7317
Equation:
Full Model
Y= 72.55-5.49X1-2.68X2-15.49X1X2-0.12X11+0.83X22
Reduced Model
Y= 72.55-5.49X1-2.68X2-15.49X1X2
© All Rights Reserved by “Journals Club & Co.” 72
main effect X1 and X2 and interaction
terms X1X2 were found significant as P
value was less than 0.05.
Application of Pharmacokinetic Study
Table 11 enlists the regression parameters
obtained after fitting dissolution release
profile to various kinetics models. The in
vitro release data were kinetically analyzed
for establishing kinetics of drug release.
Zero-order, first-order, Higuchi,
Korsmeyer-Peppas and Hixon Crowell
models were tested.
R2 = Correlation Coefficient
K = Release Rate Constant
SSR = Sum of Squared Residuals
AIC = Akaike Information Criterion
The best fit model was selected on the
basis of R2 value. It is evident from the
data the First Order Kinetic and
Korsmeyer-Peppas model were the best fit
model for batch F11.
The value of n is indicative of release
mechanism. The value of diffusional
exponent (n) of batch F11 is 0.78 that was
0.45 < n < 0.89.
So, optimized batch F11 showed diffusion
and erosion controlled release mechanism
(Anamolous non-fickian).
Table: 11 Model Fitting for Optimized Batch (F11)
Model R2 K SSR AIC Zero Order
Kinetic 0.9059 0.123 1087.98 92.89
First Order Kinetic
0.9943 7.794 65.83 56.43 Higuchi 0.8315 21.955 1947.8092 100.4680
Korsmeyer-Peppas
0.9970 6.411 34.83 50.15 Hixon-Crowell
0.9400 0.036 694.1802 87.0555
Comparison of Optimized Formulation
with Marketed Product
Optimized formulation was compared with
the marketed SR tablet of diltiazem
hydrochloride (DILZEM SR) having an
equivalent dose of 90 mg. The release
profile of optimized formulation and the
marketed formulation at the end of 3 hrs
and 12 hrs is given in Table 12.
© All Rights Reserved by “Journals Club & Co.” 73
Table: 12 Comparison of Marketed Formulation with Optimized Formulation
Parameters Marketed formulation Optimized formulation
Q3 (% CDR at the end of 3 hrs) 22.59±1.14 20.32±1.28
Q12 (% CDR at the end of 12 hrs) 98.15±1.23 96.59±1.65
From the result, it was concluded that
optimized formulation had similar % CDR
at the end of 3 hrs and 12 hrs with
marketed product.
Comparison of Dissolution Profiles
Fig. 4 : Comparative Release Profile between Marketed Formulation and Optimized Batch (F11)
The similarity factor (f2) is a logarithmic
reciprocal square root transformation of
the sum of squared error and is a
measurement of the similarity in the
percent (%) dissolution between the two
curves. The dissolution profiles are
considered to be similar when f2 is
between 50 and 100. The f2 value
calculated using equation of similarity was
found to be 69.1405. So, f2 value ensures
sameness or equivalence of two curves.
Dissimilarity factor (f1) describes the
relative error between two dissolution
profiles. It approximates the per cent
error between curves. The per cent error
is zero when the test and reference
profiles are identical and increases
proportionally with the dissimilarity
between the two profiles. The dissolution
profiles are considered to be similar when
f1 is between 0 and 15.The f1 value
calculated using equation of dissimilarity
was found to be 12.4659. So, f1 value
ensures sameness or equivalence of two
curves.
© All Rights Reserved by “Journals Club & Co.” 74
Stability Study of Optimized Batch
(F11)12
Stability study of SR tablet of diltiazem
hydrochloride was carried out for 4 weeks
at specified condition. All data are
mentioned in Table 13.The stability
studies of the optimized formulation (F11)
revealed that no significant changes in %
drug content and % CDR at the end of 3
hrs and 12 hrs when stored at temperature
and humidity conditions of 40 ± 2oC/ 75 ±
5 % RH. So, we can say that formulation
having good stability.
Table: 13 Stability Study of Optimized Formulation (F11)
CONCLUSION It was concluded that by using
combination of hydrophilic and
hydrophobic polymer, it is possible to
prepare SR matrix tablets of diltiazem
HCl with acceptable mechanical strength
and desired drug release property. Batch
F11 containing 70 mg HPMC K15M and
10 mg Eudragit RSPO was optimized as it
has similarity factor f2 value 69.14 and
dissimilarity factor f1 value 12.46 which
ensures sameness or equivalence with
release profile of marketed product
(DILZEM SR). Optimized batch F11
showed diffusion and erosion controlled
release mechanism (Anamolous non-
fickian) as the value of diffusional
exponent (n) of batch F11 is 0.78 that was
0.45 < n < 0.89.
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No. of
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%Drug Content Q3
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hrs)
Q12
(%CDR at the end of
12 hrs)
0 99.92±0.13 20.32±1.28 96.59±1.65
1 99.04±1.52 19.98±1.21 96.48±1.53
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4 98.44±1.29 19.42±1.26 96.02±1.16
© All Rights Reserved by “Journals Club & Co.” 75
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HOW TO CITE THIS ARTICLE
Bhut, V, Z., Shah, K, K., Patel, K, N., Patel, P, A. (2014). Formulation and Evaluation of Sustained Release Matrix Tablets of Diltiazem Hydrochloride. Journal Club for Pharmaceutical Sciences
(JCPS). 1(I), 58-75.