Design and Optimization of Extended-Release Mini-Tablets of
Metoprolol Succinate Using Okra Stalk Powder and HPMC K100 M as Release
Modifiers
Gayatri C. Pawar1, Tanvirahmad J. Shaikh1,
Harshal D. Mahajan1, Rajendra D. Wagh2
1. Department
of Pharmaceutics, DCS’s A. R. A. College of Pharmacy, Nagaon, Dhule.
2. Department
of Pharmaceutical Chemistry, DCS’s A. R. A. College of Pharmacy, Nagaon, Dhule.
Correspondence mail: * gayatripawar5999@gmail.com
DOI: https://doi.org/10.71431/IJRPAS.2025.4617
|
Article
Information
|
|
Abstract
|
|
Research Article
Received: 04/06/2025
Accepted: 14/06/2025
Published: 30/06/2025
Keywords
Metoprolol Succinate;
Extended-Release;
Mini-tablets;
Okra Stalk Powder;
HPMC K100 M;
Factorial Design;
Natural Polymer
|
|
The
present study focuses on the design and optimization of extended-release (ER)
mini-tablets of Metoprolol Succinate using Okra stalk powder as a natural
release modifier and HPMC K100 M as a synthetic matrix polymer. A 3²
factorial design was applied to evaluate the impact of two independent
variables—concentration of Okra stalk powder (X₁) and HPMC K100 M (X₂)—on two
response parameters: percentage drug release at 1 hour (Y₁) and at 12 hours
(Y₂). Nine formulations (F1–F9) were prepared by direct compression and
evaluated for pre-compression and post-compression characteristics. Results
confirmed acceptable flowability, uniformity, hardness, and friability. The
optimized batch (F6) demonstrated sustained release and acceptable physical
parameters. This study concludes that Okra stalk powder is a viable natural
polymer for sustained-release matrix formulations, especially in mini-tablet
systems.
|
INTRODUCTION:
Oral
drug delivery remains the most preferred and convenient route of drug
administration due to its ease of use, cost-effectiveness, and patient
compliance [1,2]. However, conventional immediate-release (IR) formulations
often present limitations, particularly for drugs with a short biological
half-life, requiring frequent dosing [3,4]. This reduces patient compliance and
can lead to fluctuations in plasma drug concentration [5]. Extended-release
(ER) formulations help overcome these limitations by releasing the drug at a
controlled rate [6,7].
Metoprolol
Succinate, a cardioselective β1-adrenergic receptor blocker, is widely used in
managing hypertension and other cardiovascular conditions [8,9]. However, its
short half-life necessitates multiple daily doses [10]. Mini-tablets, due to
their small size and uniformity, are promising for ER formulations [11,12].
Polymers
play a key role in ER matrices [13,14]. Synthetic polymers like HPMC are
effective but combining them with natural polymers like Okra stalk powder
offers sustainability benefits [15-18]. Okra mucilage forms a viscous gel in
aqueous environments, modulating drug release [19,20].
The
study aims to develop and optimize ER mini-tablets of Metoprolol Succinate
using Okra and HPMC K100 M [21].
MATERIALS AND METHODS
Materials
Metoprolol
Succinate (Sun Pharmaceuticals), HPMC K100 M (Loba Chemie), MCC (Loba chemie),
Magnesium Stearate & Talc (Loba Chemie), Okra stalk powder (prepared
in-house).
Extraction
of Okra Stalk Powder [22]
1.
Fresh okra stalks were
washed thoroughly.
2.
Cut into small pieces and
dried at 60°C.
3.
Ground to a fine powder
and sieved through a 60-mesh.
Formulation
of Mini-Tablets [23,24]
Weighed
drug and excipients as per 3² factorial design, mixed uniformly, lubricated,
passed through 60# sieve, and compressed into mini-tablets (5 mm punch).
Evaluation
Criteria
·
Pre-compression: Bulk density,
tapped density, Carr’s index, Hausner’s ratio, angle of repose.
·
Post-compression: Weight
variation, thickness, diameter, hardness, friability, drug content uniformity.
·
In-vitro drug release:
Measured at 1 hr and 12 hrs in pH 6.8 buffer.
·
Release kinetics: Fitted
to mathematical models.
Formulation
Design
A
3² full factorial design was employed with 2 independent variables:
·
X₁
– Okra stalk powder (10 mg, 15 mg, 20 mg)
·
X₂
– HPMC K100 M (10 mg, 15 mg, 20 mg)
Dependent
Variables:
·
Y₁
– % Drug Release at 1 hour
·
Y₂
– % Drug Release at 12 hours
Formulation
Composition
Table 1:
Composition of ER Mini-Tablets (Each tablet: 100 mg)
|
Ingredient (mg)
|
F1
|
F2
|
F3
|
F4
|
F5
|
F6
|
F7
|
F8
|
F9
|
|
Metoprolol Succinate
|
50
|
50
|
50
|
50
|
50
|
50
|
50
|
50
|
50
|
|
Okra Stalk Powder
|
10
|
15
|
20
|
10
|
15
|
20
|
10
|
15
|
20
|
|
HPMC K100 M
|
10
|
10
|
10
|
15
|
15
|
15
|
20
|
20
|
20
|
|
MCC
|
25
|
20
|
15
|
20
|
15
|
10
|
15
|
10
|
5
|
|
Mg Stearate
|
2
|
2
|
2
|
2
|
2
|
2
|
2
|
2
|
2
|
|
Talc
|
3
|
3
|
3
|
3
|
3
|
3
|
3
|
3
|
3
|
|
Total (mg)
|
100
|
100
|
100
|
100
|
100
|
100
|
100
|
100
|
100
|
RESULTS AND DISCUSSION
Determination
of λ max
The
solution containing 10 ug/ml of Metoprolol Succinate in 6.8 pH phosphate buffer
was prepared and scanned over 200 -800 nm against a blank using Shimadzu UV
spectrophotometer 1900. The maximum wave length was observed at 221.5 nm, which
was match with reported wave length.
Figure 1:
UV Spectrum of Metoprolol Succinate
Drug Excipient Compatibility Study (FT-IR)
The IR spectra of a drug-polymer physical mixture
was compared to that of a plain drug. Characteristic sharp distinctive peaks
seen in pure drug Metoprolol Succinate, was compared with the spectra of drug and polymer
mixtures. It was observed that characteristic peaks those found on pure drug
spectra were still detectable in spectra of drug polymer mixture spectra, showing
that the drug and polymer have no interaction. FTIR spectra of pure drug
Metoprolol Succinate and drug polymer physical mixture was shown in figure 2, 3
,4 and 5 respectively.
Figure 2:
IR spectra of pure drug Metoprolol Succinate
Figure 3:
IR Spectra of Okra Stalk Powder
Figure 4:
IR Spectra of HPMC K 100 M
Figure 5:
IR Spectra of Optimized Metoprolol Succinate Extended-Release Mini Tablets (F6)
Pre-Compression
Parameters
All
batches demonstrated good flowability and compressibility. Bulk density
(0.621–0.667 g/cm³), Carr’s index (11.11–18.52%), Hausner’s ratio
(0.844–1.158), and angle of repose (20.65–25.41°) indicated excellent to good
flow. Batch F6 exhibited the best flow properties [11]. F6 showed the best flow
properties.
Table 2:
Pre-Compression Parameters of Powder Blends
|
Formulation
Batch
|
Bulk density
(g/cc) *
|
Tapped density
(g/cc) *
|
Compressibility
Index
(%)
|
Hauser’s ratio
|
Angle of Repose
(Ɵ)*
|
|
F1
|
0.625±0.018
|
0.714±0.017
|
14.29
|
0.875
|
23.98±0.88
|
|
F2
|
0.625±0.027
|
0741±0.025
|
18.52
|
0.844
|
24.42±0.65
|
|
F3
|
0.645±0.015
|
0.741±0.020
|
14.81
|
0.871
|
22.01±0.53
|
|
F4
|
0.660±0.014
|
0.764±0.034
|
13.61
|
1.158
|
23.12±0.70
|
|
F5
|
0.621±0.016
|
0.712±0.036
|
12.78
|
1.147
|
24.02±0.70
|
|
F6
|
0.667±0.019
|
0.741±0.040
|
11.11
|
0.900
|
20.65±0.56
|
|
F7
|
0.650±0.014
|
0.734±0.034
|
13.61
|
1.158
|
23.12±0.70
|
|
F8
|
0.636±0.035
|
0.710±0.037
|
12.06
|
1.150
|
25.41±0.52
|
|
F9
|
0.625±0.027
|
0.712±0.036
|
12.78
|
1.147
|
24.02±0.70
|
* Indicates
(N=3) ± SD
Post-Compression
Parameters
Mini-tablets
complied with IP limits for all parameters. Weight variation was within ±7.5%,
thickness (2.3–2.7 mm), diameter (5 mm), hardness (6.8–7.7 kg/cm²), friability
(<0.5%), and drug content uniformity (97.2–99.5%). Batch F6 showed superior
hardness, minimal friability, and optimal content uniformity. All mini-tablets
met pharmacopeial standards. Batch F6 exhibited superior hardness and uniform
drug content [12].
Table 3:
Physical Parameters of Mini-Tablets
|
Batch
|
Weight Variation (mg)
|
Thickness (mm)
|
Diameter (mm)
|
Hardness (kg/cm²)
|
Friability (%)
|
Drug Content (%)
|
|
F1
|
100.2 ±
1.3
|
2.4 ±
0.1
|
5.0 ±
0.1
|
7.0 ±
0.2
|
0.20±0.01
|
98.1 ±
0.8
|
|
F2
|
100.1 ±
1.2
|
2.6 ±
0.1
|
5.0 ±
0.1
|
7.1 ±
0.2
|
0.24±0.01
|
97.2 ±
0.7
|
|
F3
|
99.8 ±
1.4
|
2.5 ±
0.1
|
5.0 ±
0.1
|
7.5 ±
0.2
|
0.30±0.01
|
98.3 ±
0.6
|
|
F4
|
100.0 ±
1.3
|
2.5 ±
0.1
|
5.0 ±
0.1
|
7.2 ±
0.2
|
0.34±0.01
|
97.2 ±
0.7
|
|
F5
|
99.9 ±
1.4
|
2.6 ±
0.1
|
5.0 ±
0.1
|
6.8 ±
0.2
|
0.41±0.01
|
98.4 ±
0.6
|
|
F6
|
100.1 ±
1.2
|
2.3 ±
0.1
|
5.0 ±
0.1
|
7.7 ±
0.2
|
0.21±0.01
|
99.5 ±
0.5
|
|
F7
|
100.0 ±
1.3
|
2.5 ±
0.1
|
5.0 ±
0.1
|
7.0 ±
0.2
|
0.31±0.01
|
97.6 ±
0.5
|
|
F8
|
100.2 ±
1.2
|
2.6 ±
0.1
|
5.0 ±
0.1
|
7.1 ±
0.2
|
0.32±0.01
|
98.4 ±
0.6
|
|
F9
|
99.7 ±
1.3
|
2.7 ±
0.1
|
5.0 ±
0.1
|
7.2 ±
0.2
|
0.25±0.01
|
99.1 ±
0.7
|
All
batches passed IP limits for weight variation, friability (<1%), and drug
content uniformity.
Factorial
Design Optimization
Pre-compression
and post-compression parameters were assessed as per standard methods [25-27].
In-vitro drug release was studied and release kinetics were analyzed [28,29].
Table 4:
Factorial Design Response Table
|
Batch
|
X1 (Okra Stalk Powder)
|
X2 (HPMC K100 M)
|
Y1 (Drug release at 1 hour)
|
Y2 (Drug release at 12 hours)
|
|
F1
|
10
|
10
|
38.3
|
93.2
|
|
F2
|
15
|
10
|
37.9
|
95.9
|
|
F3
|
20
|
10
|
37.1
|
97
|
|
F4
|
10
|
15
|
38.7
|
96.1
|
|
F5
|
15
|
15
|
31.1
|
97.3
|
|
F6
|
20
|
15
|
27.4
|
99.1
|
|
F7
|
10
|
20
|
29.5
|
96.7
|
|
F8
|
15
|
20
|
33
|
94.4
|
|
F9
|
20
|
20
|
32.7
|
96.1
|
Figure 6:
Surface Plot of Drug Release at 1 Hour
Figure 7:
Contour Plot of % Drug Release at 12 Hours
Drug
Release and Kinetics
In-vitro
drug release studies were conducted for all nine formulations (F1–F9) over 12
hours in pH 6.8 buffer. The percentage drug release at 1 hour (Y₁) and 12 hours
(Y₂) was determined for each batch. Higher concentrations of Okra and HPMC
slowed initial release and sustained the drug over 12 hours. Batch F6 (20 mg
Okra + 15 mg HPMC) showed the best profile with 27.4% release at 1 hr and 99.1%
at 12 hr.[23,24].
Table 5:
In-Vitro Drug Release Profile at 1 hr and 12 hr
|
Batch
|
Okra
(mg)
|
HPMC
(mg)
|
%
Release at 1 hr
|
%
Release at 12 hr
|
|
F1
|
10
|
10
|
38.3
|
93.2
|
|
F2
|
15
|
10
|
37.9
|
95.9
|
|
F3
|
20
|
10
|
37.1
|
97.0
|
|
F4
|
10
|
15
|
38.7
|
96.1
|
|
F5
|
15
|
15
|
31.1
|
97.3
|
|
F6
|
20
|
15
|
27.4
|
99.1
|
|
F7
|
10
|
20
|
29.5
|
96.7
|
|
F8
|
15
|
20
|
33.0
|
94.4
|
|
F9
|
20
|
20
|
32.7
|
96.1
|
Figure 8: Comparison of % Drug Release at 1hr and at 12hr from Metoprolol
Succinate ER Tablets.
A
graph of drug release vs. time for F6 demonstrated a controlled release
pattern. Drug release data were fitted to kinetic models. F6 best fit the
Korsmeyer–Peppas model (R²=0.994) with n=0.68, suggesting anomalous
(non-Fickian) diffusion. The Higuchi model also fit well (R²=0.987), confirming
diffusion-controlled release.
Table 6:
Kinetic Model Fitting of Optimized Batch F6
|
Model
|
R² Value
|
|
Zero Order
|
0.943
|
|
First Order
|
0.921
|
|
Higuchi
|
0.987
|
|
Korsmeyer–Peppas
|
0.994
|
Batch
F6 showed sustained drug release with minimal burst effect and followed
anomalous diffusion kinetics.
CONCLUSION
The
study successfully developed ER mini-tablets of Metoprolol Succinate using Okra
stalk powder and HPMC K100 M. Batch F6 was optimized with balanced initial and
extended release. The results demonstrate that Okra stalk powder is a
sustainable, biocompatible alternative to synthetic polymers in ER
formulations.
REFERENCES
- Qiu Y, Zhang GGZ.
Developing Solid Oral Dosage Forms. 2nd ed. Academic Press; 2016.
- Siepmann J, Peppas
NA. Modelling of drug release from delivery systems based on HPMC. Adv
Drug Deliv Rev. 2001;48(2-3):139-157.
- Sahoo S, Chakraborti
C. Indian J Pharm Sci. 2011;73(2):218-220.
- Kalu V, Odeniyi MA.
Arch Pharm Res. 2007;30(7):884-889.
- Revesz P, Zelko R.
Eur J Pharm Biopharm. 2012;82(2):401-408.
- Lachman L et al. The
Theory and Practice of Industrial Pharmacy. 3rd ed. Lea & Febiger;
1986.
- Costa P, Sousa Lobo
JM. Eur J Pharm Sci. 2001;13(2):123-133.
- ICH Harmonised
Tripartite Guideline. Stability Testing of New Drug Substances and
Products Q1A(R2). 2003.
- Ford JL, Rubinstein
MH. Drug Dev Ind Pharm. 2002;28(5):491-501.
- Gupta A, Gaud RS.
Asian J Pharm Sci. 2012;7(1):68–74.
- Shirwaikar A et al.
Indian J Pharm Sci. 2008;70(4):415–422.
- Thakur RS et al. Int
J Pharm Sci Res. 2012;3(12):4554–4561.
- Raghavendra NG et
al. Indian Drugs. 2010;47(5):41–46.
- Ahuja A et al. Drug
Dev Ind Pharm. 1997;23(5):489–515.
- Banker GS et al. In:
Lachman L et al., editors. The Theory and Practice of Industrial Pharmacy.
1987. p. 293–345.
- Shargel L et al.
Applied Biopharmaceutics & Pharmacokinetics. 5th ed. McGraw Hill;
2005.
- Dressman JB et al.
Eur J Pharm Sci. 2000;11(Suppl 2):S73–S80.
- Colombo P. Adv Drug
Deliv Rev. 1993;11(1-2):37–57.
- Alderman DA. Int J
Pharm Technol Prod Manuf. 1984;5(1):1–9.
- Ranga Rao KV, Buri
P. Indian J Pharm Sci. 1988;50(4):257–265.
- Talukdar MM et al.
Int J Pharm. 1996;129(1-2):23–31.
- Timmins P et al.
Drug Dev Ind Pharm. 1985;11(8-10):1675–1703.
- Korsmeyer RW, Peppas
NA. Int J Pharm. 1983;15(1):25–35.
- Peppas NA. Pharm
Acta Helv. 1985;60(4):110–111.
- Conte U, Maggi L.
Drug Dev Ind Pharm. 1996;22(7):677–683.
- Charman WN et al.
Clin Pharmacokinet. 1997;33(3):175–199.
- Aulton ME.
Pharmaceutics: The Science of Dosage Form Design. 2nd ed. Churchill
Livingstone; 2002.
- Rowe RC et al.,
editors. Handbook of Pharmaceutical Excipients. 6th ed. Pharmaceutical
Press; 2009.
- Gohel MC, Jogani PD.
Pharm Technol. 2005;29(10):52–64.
- Allen LV Jr et al.
Ansel’s Pharmaceutical Dosage Forms. 9th ed. Wolters Kluwer; 2010.