A NOVEL SUSTAINED RELEASE ROBUST MATRIX PELLETS OF GLIPIZIDE
HTML Full TextA NOVEL SUSTAINED RELEASE ROBUST MATRIX PELLETS OF GLIPIZIDE
P. K. Puranik, S. D. Pol *, S. B. Patil, N. G. Ransing, P. S. Ramteke, B. A. Patil, P. K. Khobragade and R. G. Palaskar.
Department of pharmaceutics, Government College of pharmacy, Aurangabad-431005, MH, India.
ABSTRACT: Multiparticulate drug delivery system are mainly oral dosage forms consisting of a multiplicity of small discrete units, each exhibiting some amount desired characteristics such as pellets.The purpose of present study was to prepare sustained release robust matrix pellets of Glipizide. The study revealed successful application of factorial design, optimization of extrusion spheronization process, and sustaining release of Glipizide for formulating uniform, spherical Glipizide pellets. Speed and time of spheronization is critical parameter for optimum sphericity. The Optimum speed and time of operating spheronization is 1350 rpm and 15 min. The results of this study showed that combination of HPMC K100M LVCR as hydrophilic matrix polymer and PEG 400 as potential plasticizer is effective and useful for sustaining the Glipizide release to treat diabetes mellitus. The in-vitro studies showed Q16 at approximately 80% cumulative release in case of F4, F5, F6, It indicates that this system can sustain the release upto 24 h which is desirable for sustained release specificity. Although, the hydrophilic matrix polymer optimization is critical for drug release, this study suggests the promising approach for formulation of sustained release robust matrix pellets of Glipizide.
Keywords: |
Robust, Matrix pellets, Glipizide, Extrusion –Spheronization, sustain release.
INTRODUCTION: Recent trend in pharmaceutical research is to design and develop new formulations, thereby enhancing the therapeutic efficacy of existing drugs. Invariably, new drug discovery and patenting new drug which is time and money consuming process. Multi-particulate drug delivery systems are mainly oral dosage forms consisting of a multiplicity of small discrete units, each exhibiting some amount desired characteristics. Together, these characteristic units provide the overall desired sustained release (SR) of the dose.
These multiple units are also referred as pellets, spherical granules or spheroids1. Though there are many approaches to prepare pellets, such as extrusion and spheronization, fluid bed granulation, centrifugal granulation. Extrusion-spheronization is one of common strategies to prepare pellets for acquiring modified release systems in pharmaceutical industry since 1970, and the method consist of two basic processes of extrusion and spheronization.
Pellets prepared by the method of extrusion- spheronization have some advantages, such as high sphericity, compact structure, low hygroscopicity, narrow particle size distribution and smooth surface1. If there is dose dumping occur with sustained release monolithic tablet which result in dramatic side effects. By contrast, in multiparticulate formulation, reduced the toxicity and risk dose dumping2. Sustained release from pellets is conventionally achieved by polymeric coating. There is growing interest in the development of matrix pellet formulations because, in practice, polymeric coating is associated with various problems. 1) The process is time consuming and expensive 2) Film thickness is variable 3) There may be cracks in the film or aging of the polymer coating which leads to dose dumping. Hence, we aimed to develop sustained release matrix pellets by extrusion- spheronization method3.
Many acute and chronic diseases require frequent medication. The problem can be solved by developing sustained release dosage form with similar therapeutic response as that of conventional dosage forms and longer duration of action without fluctuations in drug levels in plasma. The sustained drug delivery includes application of physical and polymer chemistry. These polymers slowly release the drug in biosystem and maintain blood drug level within therapeutic range for longer duration4,5.
Diabetes mellitus is one of the major causes of death and disability in the world. Although the prevalence of both Type-I and Type-II diabetes is increasing worldwide, the prevalence of Type- II diabetes is expected to rise more rapidly in future because of sedentary lifestyle, increasing obesity and reduced activity levels. Glipizide is a second generation sulfonylurea and is one of the most widely used agents against Type II diabetes. It is a weak acid (pKa = 5.9), practically insoluble in water and acidic environment but highly permeable drug belonging to BCS class 2.
It has a short biological half life (3.4± 0.7 h) and requires 2–3 doses per day for treatment. This drug is usually intended to be taken for a long period of time, which often leads to non-compliance.
Thus, there is a strong clinical, Industrial, social need and market potential for sustained delivery system for Glipizide, as follows- A) Medical: For utilization of optimum dose, at the right time, and in the right location. B) Industrial: For efficient use of expansive ingredients and reduction in production costs. C) Social: Beneficial to patients, better therapy and improved comfort. Thereby resulting in better patient compliance6.
MATERIALS AND METHODS
Glipizide was obtained as a gift sample from Wockhardt research center, Aurangabad, India. HPMC K100 LVCR, HPMC K4M was provided by Colorcon Asia Pvt. Ltd., Goa, India. Eudragit L100 was obtained from Evonik. MCC PH 101 was provided by Signet chemical corporation Pvt. Ltd., Mumbai, India. PEG 400 was provided by Degussa Pvt. Ltd. Other excipients used to prepare pellets were of standard pharmaceutical grade and all chemical reagents of analytical grade.
EXPERIMENTAL
Optimization of Extrusion Spheronization Process
Pellets prepared by Extrusion and spheronization technique. To reduce the computational complexities, above mentioned components were eased to (2) two independent variables namely,
Speed of spheronization (X1) = 1200, 1350, 1500 rpm
Time of spheronization (X2) = 10, 15, 20 min
The approximate appropriate levels of these independent variables were chosen from the data available from literature as well as the initial experimentation while Aspect ratio, Roundness, Carr’s index of pellets as dependent factor.
It becomes essential to use a factorial design with 3 levels to estimate curvature in response (i.e. 32 factorial with total no. of experiments = 9). To save time, single block design with zero (0) replication has been preferred. The experimental grid was coded for ease of representation in Table 1 and 2.
TABLE 1: TRANSLATION OF EXPERIMENTAL CONDITIONS INTO PHYSICAL UNITS FOR EXTRUSION SPHERONIZATION
Coded Values | Actual Values (%) | Response | |||
X1 (Speed) | X2(Process time) | Y1 | Y2 | Y3 | |
-1 | 1200 | 10 | Aspect ratio | Roundness | Carr’s index |
0 | 1350 | 15 | |||
+1 | 1500 | 20 |
TABLE 2: FACTOR COMBINATION AS PER THE EXPERIMENTAL DESIGN FOR EXTRUSION SPHERONIZATION
Variable level | Batch code | ||||||||
F1 | F2 | F3 | F4 | F5 | F6 | F7 | F8 | F9 | |
X1 | -1 | -1 | -1 | 0 | 0 | 0 | 1 | 1 | 1 |
X2 | -1 | 0 | 1 | -1 | 0 | 1 | -1 | 0 | 1 |
Following parameters were kept constant for extrusion spheronization process, Extrusion Sieve: 1 mm, Extruder speed: 45 rpm, Radial plate of Spheronizer: 4.2 mm. Optimized Formula for Non-Drug Loaded Pellets is shown in Table 3.
Evaluation of dummy pellets
The objective of present investigation was to optimize process of extrusion spheronization for pelletization.
TABLE 3: OPTIMIZED FORMULA FOR NON-DRUG LOADED PELLETS
Sr.no | Ingredients | Quantities |
1 | MCC PH101 | 28gm |
2 | HPMC K100M LVCR (powder form) | 1.5gm |
3 | HPMC K4M (2% w/v solution in water ) | Approximate 22 gm |
4 | PEG 400 (2% v/v solution in 2% HPMC K4M ) | |
5 | Water | q.s. |
To optimize spheronization speed, to optimize spheronization time, to get aspect ratio nearer to 1, to get maximum roundness.
All the factorial batches were evaluated for physical, morphological, flow properties and friability. Results of all factorial batches are mentioned in Table 4 and Table 5.
TABLE 4: FLOW PROPERTY OF PELLETS
Flow property | Angle of Repose (θ) | Bulk density (gm/cm3) | Tapped density (gm/cm3) | Carr’s Index (%) | Hausner’s Ratio |
F1 | 34.90±2.51 | 0.65±0.028 | 0.81±0.04 | 19.75±0.52 | 1.24±0.04 |
F2 | 32.88±1.33 | 0.71±0.02 | 0.84±0.02 | 15.71±0.31 | 1.18±0.02 |
F3 | 31.30±1.17 | 0.73±0.01 | 0.87±0.01 | 16.09±0.20 | 1.19±0.02 |
F4 | 26.29±2.37 | 0.74±0.01 | 0.85±0.02 | 12.94±0.25 | 1.14±0.02 |
F5 | 23.72±1.06 | 0.87±0.01 | 0.94±0.02 | 7.79±0.07 | 1.08±0.01 |
F6 | 25.39±1.45 | 0.75±0.008 | 0.84±0.009 | 10.71±0.19 | 1.12±0.02 |
F7 | 33.29±1.67 | 0.82±0.04 | 0.95±0.05 | 15.71±0.31 | 1.16±0.03 |
F8 | 29.75±3.26 | 0.75±0.01 | 0.83±0.02 | 9.63±0.28 | 1.11±0.02 |
F9 | 30.2±2.62 | 0.79±0.02 | 0.90±0.05 | 12.22±0.27 | 1.14±0.03 |
TABLE 5: MORPHOLOGICAL CHARACTERISTICS OF PELLETS
Batches | Shape | Aspect ratio | Roundness (%) |
F1 | Cylindrical /Rod | 1.19-2.49 | 38.394 – 46.691 |
F2 | Cylindrical /Rod | 1.17 – 2.01 | 70.296 - 78.768 |
F3 | Cylindrical + Dumbbell | 1.15-1.18 | 62.514 - 73.641 |
F4 | Dumbbell + Oval | 1.11-1.14 | 81.623 -85.152 |
F5 | Sphere | 1 – 1.07 | 91.85-99.106 |
F6 | Oval + Sphere | 1.09-1.12 | 87.128 - 93.125 |
F7 | Dumbbell +Ellipsoid | 1.18 - 1.19 | 41.667 - 48.077 |
F8 | Oval + Sphere | 1.13 – 1.16 | 87.072 – 98.07 |
F9 | Ellipsoid + Oval | 1.15 - 1.17 | 63.763 - 67.473 |
The Photomicrographic study also confirmed that batch F5 has more spherical and uniform pellets with smooth surface compared to other batches. The comparative studies of photomicrograph of all batches are as shown in Figure 1. Thus, Batch F5
was selected as a final optimized batch and used for further studies. On the basis of dummy pellets evaluation (F1 to F9 batches) optimized Parameters for Extrusion Spheronization as shown in Table 6.
TABLE 6: OPTIMIZED PARAMETERS FOR EXTRUSION SPHERONIZATION
Parameter | Value |
Extrusion speed | 45 rpm |
Extrusion sieve | 1 mm |
Spheronization plate | 4.2 mm |
Spheronization speed | 1350 rpm |
Spheronization time | 15 min |
FIGURE 1: PHOTOMICROGRAPHS OF ALL BATCHES (F1 TO F9)
Particle Size Analysis of Final Batch (F5)
Particle size was determined by optical microscopy for pellets. Average particle size was found to be 945.595±015 mm. Roundness of the pellets was found to be 94.079 %. Hence it was concluded that the pellets were spherical. Particle size analysis parameters of pellets are shown in Table 7.
TABLE 7: PARTICLE SIZE ANALYSIS PARAMETER OF PELLETS
Length | Width | Area | Asp. Ratio | Roundness | Shape | Sphere volume |
1001.789 | 962.81 | 795694.4 | 1.04 | 95.293 | 0.01 | 61524192 |
FIGURE 2: OPTICAL PHOTOMICROGRAPH OF OPTIMIZED BATCH (F5) PELLET
Statistical Analysis of Extrusion Spheronitzation Data
The 32 full factorial design was selected to study the effect of independent variables Spheronization speed (X1) and spheronization time (X2) on parameter Optimization for Extrusion
Spheronization. The response data was analyzed by using Stat Ease Design Expert 8.0.1 software (Minneapolis, MN, USA). Summary of statistical design and responses shown in Table 8 and 9 respectively. The results were shown in the Table10, 11 and 12. The final equations in terms of coded values of factors and actual values of factor obtained from software Design Expert are given below-
Final equations for Aspect Ratio in terms of coded factors:
Aspect Ratio = 1.02 - 0.28 (A) - 0.18 (B) + 0.16 (AB) + 0.40 (A) 2 + 0.12 (B) 2
Final Equation for Roundness in Terms of Coded Factors
Roundness = 90.30244959 + 13.85631809(A) + 4.410158605(B) + 3.117693182(AB) - 22.80882411(A) 2 - 4.136619895 (B) 2
Final Equation for Carr’s Index in Terms of Coded Factors
Carr's Index = 8.13 - 2.33(A) - 1.56 (B) + 0.042 (AB) + 4.37(A) 2 + 3.53(B) 2
P-value less than 0.05 indicated significance of the model terms. Analysis of variance (ANOVA) indicated that the developed models were significant for each considered response. The large Model F-values imply that the model is significant. Smaller the P value, more significant is the corresponding coefficient. Positive and negative sign in front of the terms indicate synergistic and antagonistic effect upon the factors respectively. The regression coefficient (r2) was high indicating the adequate fitting of the quadratic model for response Aspect Ratio, Roundness and Carr’s Index.
The analysis of variance study of the data also showed same results revealing the spheronization speed and spheronization time as significant variable (P value <0.05) at all response point. It indicates the significance of spheronization speed and spheronization time in the evaluation of pellets for optimization of extrusion spheronization.
The 3D response plots were constructed from quadratic model obtained through Design Expert software in which the responses were represented by bars as a function of independent variables as shown in the Figures 3, 4 and 5. The relationship between the response and independent variables can be directly visualized from the response plots7.
TABLE 8: SUMMARY OF STATISTICAL DESIGN
Factor | Name | Unit | Type | Actual values | Coded Values | ||
Lowest | Highest | Lowest | Highest | ||||
A | Spheronization speed | rpm | Numerical | 1200 | 1500 | -1 | +1 |
B | Spheronization Time | Min | Numerical | 10 | 20 | -1 | +1 |
TABLE 9: SUMMARY OF RESPONSES
Response | Description | Units | Analysis | Min | Max | Mean | |
Y1 | Aspect Ratio | - | 9 | polynomial | 1 | 2.49 | 1.74 |
Y2 | Roundness | % | 9 | polynomial | 38.394 | 99.106 | 68.250 |
Y3 | Carr's Index | - | 9 | polynomial | 7.79 | 19.75 | 13.77 |
TABLE 10: ANALYSIS OF VARIANCE FOR ASPECT RATIO
Source | F Value | p-value, Prob > F |
Model | 10.95 | 0.0040 |
A-Spheronization speed | 22.89 | 0.0009 |
B-Spheronization time | 9.10 | 0.0541 |
AB | 5.13 | 0.0577 |
A2 | 16.13 | 0.0043 |
B2 | 1.48 | 0.8831 |
FIGURE 3: 3D PLOT FOR ASPECT RATIO
TABLE 11: ANALYSIS OF VARIANCE FOR ROUNDNESS
Source | F Value | p-value Prob > F |
Model | 12.70 | 0.0312 |
A-Spheronization speed | 30.72 | 0.0116 |
B-Spheronization time | 3.11 | 0.1759 |
AB | 1.03 | 0.3835 |
A2 | 27.75 | 0.0133 |
B2 | 0.91 | 0.4098 |
TABLE 12: ANALYSIS OF VARIANCE FOR CARR'S INDEX
Source | F Value | p-value, Prob > F |
Model | 27.99 | 0.0101 |
A-Spheronization speed | 41.35 | 0.0076 |
B-Spheronization time | 18.59 | 0.0230 |
AB | 9.159 | 0.9298 |
A2 | 48.45 | 0.0061 |
B2 | 31.53 | 0.0112 |
FIGURE 4: 3D PLOT FOR ROUNDNESS
FIG 5: 3D PLOT FOR CARR'S INDEX
Preparation of drug loaded pellets
Preparation of Preliminary Drug Loaded Pellets
Preliminary batches (P1 to P6) of drug loaded pellets were prepared as per composition of preliminary batches mentioned in Table 13 at optimized parameter of Extrusion and Spheronization process which is mentioned in Table 6. After preparation of Preliminary batches (P1 to P6), pellets are dried at 60°C for 3 Hrs and pellets are passed through sieve no. 20 and retained pellets are used for further in vitro drug release study.
TABLE 13: COMPOSITION OF PRELIMINARY BATCHES
Ingredients | P1 | P2 | P3 | P4 | P5 | P6 |
Glipizide | 10% | 10% | 10% | 10% | 10% | 10% |
MCC 101 | 84.6% | 83% | 84.% | 83% | 81% | 82% |
HPMCK100 LVCR(1gm and 1.5gm) | 3.4% | 5% | - | - | - | 5% |
HPMC E15 (1gm and1.5gm) | - | - | 3.4% | 5% | - | - |
HPMCK100 LVCR (1gm) +Eudragit L100 (1gm) | - | - | - | - | 7% | - |
HPMC K4M(2%w/v solution in water) | (Approximate 22 gm) 2%PEG | 3% PEG | ||||
PEG 400 (% v/v solution in 2% HPMC K4M ) | ||||||
Deionised Water | q.s. | q.s. | q.s. | q.s. | q.s. | q.s. |
Evaluation of Preliminary Drug Loaded Pellets
In Vitro Drug Release Study
Preliminary batches were evaluated by studying the release profile for 12 hr, in 900ml dissolution medium (0.1N HCL for 2hr and PH 6.8 phosphate buffer for remaining 10 hr) using USP type I (Basket) dissolution apparatus with 100 rpm. The drug release from pellets ranges from 46.04% to 69.95%. With respect to weight gain of matrix polymer, % PEG and % drug release, the optimum polymer combination selected was HPMC K100M LVCR and plasticizer PEG 400. Total drug releases in 12 hr from all factorial batches are shown in Table 14.
TABLE 14: DRUG RELEASE STUDY OF PRELIMINARY BATCHES AT PH 6.8
Batch code | HPMC E15 | HPMC K100M LVCR | HPMC K100M LVCR and Eudragit L100 |
P1 | 49.09 | - | - |
P2 | 57.64 | - | - |
P3 | - | 63.789 | - |
P4 | - | 68.81 | - |
P5 | - | - | 46.04 |
P6 | - | 69.95 | - |
Optimization of Sustained Release Polymer and Plasticizer Level by Using 32 Factorial Design
The objective of present investigation is to observe the combine effect of sustained release polymer as well as plasticizer on the drug release pattern for attaining the sustained release of Glipizide (Dependent Responses /objective functions) to maximize drug release upto 24 hr.
To achieve this objective Glipizide was used as drug and pellets were prepared by using HPMC K100M LVCR as sustaining polymer and PEG 400 as plasticizer. To reduce the computational complexities, above mentioned polymers were eased to 2 independent variables namely
HPMC K100 LVCR as sustaining polymer level(X1) = 0.5gm, 1gm, 1.5gm.
PEG 400 as plasticizer level (X2) = 1%, 2%, 3%.
The approximate levels of these independent variables were chosen from drug release profile of preliminary batches.
It becomes essential to use a factorial design with 3 levels to estimate curvature in response (i.e. 32 factorial with total no. of experiments = 9). To save time, single block design with zero (0) replication has been preferred. The experimental grid was coded for ease of representation in Table 15 and 16.
TABLE 15: TRANSLATION OF EXPERIMENTAL CONDITIONS INTO PHYSICAL UNIT FOR SUSTAINED RELEASE
Coded Values | Actual Values (%) | Response | ||
X1(HPMC K100 LVCR as sustaining polymer level) | X2(PEG 400 asplasticizer) | Y1 | Y3 | |
-1 | 0.5 | 1 | T30% | T80% |
0 | 1 | 2 | ||
+1 | 1.5 | 3 |
TABLE 16: FACTOR COMBINATION AS PER EXPERIMENTAL DESIGN FOR SUSTAINED RELEASE POLYMER
Variable level | Batch code | ||||||||
F1 | F2 | F3 | F4 | F5 | F6 | F7 | F8 | F9 | |
X1 | -1 | -1 | -1 | 0 | 0 | 0 | 1 | 1 | 1 |
X2 | -1 | 0 | 1 | -1 | 0 | 1 | -1 | 0 | 1 |
RESULT AND DISCUSSION:
Evaluation of Pellets
Optimization of Sustained Release Polymer and Plasticizer Polymer RatioThe matrix pellets were evaluated for drug release profile upto 24 hr, dissolution efficiency, flow, and morphological properties of pellets. Particle size analysis was studied for optimized batch.
Evaluation of Flow Properties of Matrix Pellets
The flow properties of pellets were most important parameter for filling pellets into the capsule shell.
The values of angle of repose, Carr’s index and Hausnar’s ratio indicate excellent flow properties of pellets. All the factorial batches were evaluated for flow property. Results of all factorial batches are shown in Table 17.
TABLE 17: EVALUATION PARAMETER OF MATRIX PELLETS
Batch | Angle of repose (θ) | Bulk density(gm/cm3) | Tapped density (gm/cm3) | Carr’s index(%) | Hausner’s ratio |
F1 | 24.43±0.42 | 0.80±0.004 | 0.85±0.003 | 5.88±0.15 | 1.06±0.001 |
F2 | 22.13±0.28 | 0.74±0.004 | 0.78±0.003 | 5.12±0.27 | 1.05±0.001 |
F3 | 23.97±1.09 | 0.82±0.004 | 0.85±0.002 | 3.52±0.69 | 1.03±0.003 |
F4 | 25.73±0.34 | 0.81±0.004 | 0.90±0.006 | 10.12±0.42 | 1.11±0.004 |
F5 | 23.39±0.56 | 0.82±0.004 | 0.87±0.009 | 5.80±0.72 | 1.06±0.006 |
F6 | 22.65±0.30 | 0.78±0.009 | 0.88±0.01 | 6.81±0.49 | 1.07±0.005 |
F7 | 23.19±0.31 | 0.74±0.003 | 0.86±0.004 | 13.95±0.47 | 1.16±0.004 |
F8 | 22.65±0.30 | 0.72±0.005 | 0.80±0.007 | 10.01±0.42 | 1.11±0.004 |
F9 | 22.13±0.28 | 0.75±0.003 | 0.83±0.004 | 9.63±0.32 | 1.10±0.203 |
Morphological Characteristics of All Factorial BatchesAspect ratio and roundness are important parameters for characterization of pellets. Aspect ratio nearer to 1 and roundness nearer to 100% shows spherical pellets. The morphological characteristics of all factorial batches are as shown in Table 18.
TABLE 18: MORPHOLOGICAL CHARACTERISTICS OF PELLETS
Batch | Shape | Aspect ratio | Roundness (%) |
F1 | Dumbbell+ Sphere | 1.11-1.15 | 80.17 |
F2 | Sphere | 1.02-1.12 | 86.78 |
F3 | Sphere | 1.02 – 1.11 | 89.63 |
F4 | Dumbbell + Oval | 1.12-1.17 | 79.98 |
F5 | Sphere | 1.07-1.12 | 85.76 |
F6 | Sphere | 1.04-1.12 | 85.70 |
F7 | Dumbbell +Ellipsoid | 1.13 - 1.19 | 77.72 |
F8 | Oval + Sphere | 1.11 – 1.14 | 80.46 |
F9 | Sphere | 1.11 - 1.13 | 83.23 |
Particle Size Analysis
Particle size was determined by optical microscopy for drug loaded matrix pellets. On the basis of roundness, batches F2, F3, F5, F6, and F9 have shown good result with respect to HPMC K100 LVCR and plasticizer ratio. Average particle size was found in range 945.595mm to 1076mm. Particle size analysis of batches F2, F3, F5, F6, and F9 have shown in Table 19.
TABLE 19: PARTICLE SIZE ANALYSIS OF BATCHES (F2, F3, F5, F6, F9)
Batch | Length | Width | Area | Asp. Ratio | Roundness | Shape | Sphere volume |
F2 | 1004.406 | 904.38 | 751944.4 | 1.111 | 87.266 | 0.011 | 56520379 |
F3 | 1093.103 | 998.102 | 914097.2 | 1.095 | 90.955 | 0.011 | 75755633 |
F5 | 1051.075 | 943.87 | 814375 | 1.114 | 86.101 | 0.012 | 63703467 |
F6 | 1193.557 | 1076.617 | 1009306 | 1.109 | 86.101 | 0.012 | 87894233 |
F9 | 1146.422 | 1015.892 | 963194.4 | 1.128 | 83.173 | 0.012 | 8194025 |
Friability
The preliminary aim to produce mechanically strong pellets was thereby achieved. Friability (%) of all factorial batches is as shown in Table 20
Drug Content
The drug loaded pellets of Glipizide prepared with optimized formula exhibited drug loading capacity in range of 92.97- 105.98%. Drug content of all factorial batches are as shown in Table 20. All values expressed as mean± SD, n=3.
TABLE 20: FRIABILITY (%) AND CONTENT UNIFORMITY
Batch | (%)Friability | Drug content |
F1 | 0.18±0.053 | 92.97±0.29 |
F2 | 0.15±0.03 | 98.72±1.06 |
F3 | 0.14±0.026 | 105.98±0.65 |
F4 | 0.15±0.01 | 95.25±1.46 |
F5 | 0.13±0.015 | 99.32±0.54 |
F6 | 0.18±0.053 | 95.85±0.95 |
F7 | 0.13±0.03 | 94.89±1.08 |
F8 | 0.14±0.026 | 95.66±0.84 |
F9 | 0.15±0.01 | 100.51±0.95 |
Scanning Electron Microscopy
The scanning electron microscopic (SEM) evaluation is important for determining the surface morphology, size, shape8. Surface of pellets as shown in (Figure 6) SEM photograph was smooth and spherocity was also good and size of pellets was found to be 968μm to 1003μm and ratio of length to width (Aspect ratio) is 1.03 which indicates pellets are spherical in shape.
FIGURE 6: SEM ANALYSIS OF OPTIMIZED F5 BATCH
In-Vitro Drug Release Study
In-vitro drug release study of all formulation batches (F1-F9) were performed in triplicate using USP apparatus Type-I (Basket). The batch F1 showed 85.972±0.23% drug release in 12 hr, batch F2 released 84.366±0.60 % in 12 hr and F3 released 92.248±0.09 % in 12 hr. F1, F2, F3 batches sustained the drug release only upto 12hr.
These batches could not sustain the drug release upto 24 hr due to low weight gain of HPMC K100MLVCR. The batches F4, F7, F8 and F9 retarded drug release upto 78.336±0.49 % 73.294±0.43% 73.35±0.69% and 78.819±0.69 % respectively in 16 hr, which can release the drug upto 24 hr. but unable meet the criteria of 80% drug in release 16 hrs due to more weight gain of HPMC K100MLVCR as compare to F1, F2, F3 and low level of PEG 400 in case F4 and in case of F7, F8 and F9 due to more weight gain of HPMC K100MLVCR as compare to F1 to F6.
FIGURE 7: CUMULATIVE DRUG RELEASE OF ALL FORMULATION BATCHES
The batches F5 and F6 retarded drug release upto 82.601±0.43% and 83.155±0.69 % respectively in
16 hr, which also sustained drug release upto 24 hr. Only the batches F5 and F6 showed desirable release profile suitable for sustained release system. The PEG 400 increases drug release as increasing the level from 1% to 3%. These drug release increase may be due to PEG 400 as it is hydrophilic and solubility enhancing agent.
The result of cumulative drug release (%) of all formulation batches are shown in Table 21, Table 22 and Figure 7.
TABLE 21: CUMULATIVE DRUG RELEASE (%) OF F1 TO F5
Time[Hr] | F1 | F2 | F3 | F4 | F5 |
16.11±0.77 | 11.917±1.03 | 16.092±0.69 | 13.599±1.18 | 14.778±1.58 | |
2 | 29.074±1.25 | 27.584±0.63 | 31.413±1.56 | 23.971±0.31 | 25.535±1.74 |
3 | 37.226±1.32 | 39.404±0.58 | 42.977±0.59 | 27.687±1.21 | 30.829±1.9 |
4 | 45.844±1.74 | 48.55±0.54 | 51.869±0.15 | 31.807±1.23 | 35.081±.67 |
5 | 52.548±0.66 | 56.533±0.66 | 56.926± 0.93 | 37.086±1.73 | 39.162±1.57 |
6 | 58.849±1.73 | 64.007±1.02 | 62.884±0.69 | 41.708±1.2 | 44.976±0.94 |
7 | 64.443±1.23 | 62.884±0.77 | 69.447±0.74 | 47.009±0.3 | 48.944±1.27 |
8 | 68.309±0.79 | 68.517±0.08 | 76.449±0.93 | 53.474±1.39 | 55.074±0.8 |
9 | 71.812±1.07 | 76.291±1.01 | 77.196±1.09 | 58.628±0.4 | 60.035±1.37 |
10 | 76.632±1.07 | 80.636±0.68 | 81.489±1.2 | 62.003±1.07 | 62.206±1.61 |
11 | 82.686±0.99 | 79.296±1.61 | 86.545±0.73 | 64.999±0.32 | 66.799±1.33 |
12 | 85.972±1.14 | 84.366±1.48 | 92.248±0.59 | 68.479±0.54 | 70.888±1.28 |
16 | 96.125±0.9 | 97.124±0.85 | 101.147±0.92 | 78.336±1.27 | 82.601±1.42 |
24 | - | - | - | 96.531±0.46 | 98.922±0.28 |
TABLE 22: CUMULATIVE DRUG RELEASE (%) OF F6 TO F9
Time[Hr] | F6 | F7 | F8 | F9 |
1 | 13.581±0.84 | 10.845±1.45 | 11.898±0.70 | 12.726±0.58 |
2 | 25.506±0.02 | 18.742±1.33 | 21.631±0.53 | 21.398±0.54 |
3 | 30.603±0.15 | 26.334±0.85 | 29.549±1.41 | 29.623±1.46 |
4 | 38.865±1.96 | 33.592±1.16 | 35.243±1.15 | 35.741±0.35 |
5 | 42.306±1.51 | 40.039±1.39 | 37.398±0.48 | 43.086±0.48 |
6 | 48.984±1.41 | 43.944±1.6 | 42.668±0.54 | 46.842±1.53 |
7 | 56.583±1.15 | 48.812±0.7 | 48.81±0.21 | 47.156±1.87 |
8 | 60.326±0.88 | 54.402±0.36 | 52.892±0.77 | 49.540±0.95 |
9 | 65.673±1.86 | 59.663±0.71 | 57.655±0.91 | 56.787±1.32 |
10 | 69.704±1.05 | 61.396±0.98 | 63.789±1.06 | 62.082±1.26 |
11 | 73.247±1.02 | 64.141±0.95 | 67.489±1.19 | 67.241±0.49 |
12 | 76.658±1.25 | 66.04±1.03 | 69.497±1.06 | 74.338±0.53 |
16 | 83.155±0.39 | 73.294±0.66 | 73.35±0.70 | 78.819±1.03 |
24 | 102.901±2.1 | 88.483±1.16 | 92.129±1.39 | 95.591±1.74 |
Kinetics of Drug ReleaseThe kinetics of the drug release from the matrix pellets, release data was evaluated by model-dependent (curve fitting) method using PCP Disso v3 software and model with the higher correlation coefficient was considered to be the best model. The results showed that the most factorial batches F1, F2, F3, F4, F5, F6, F7, F8, F9 followed matrix order kinetics. The observations are summarized in Table 23.
TABLE 23: DRUG RELEASE KINETICS OF ALL FACTORIAL BATCHES
BatchCode | r2 | N | K | ||||
Zero order | First order | Matrix | Korsmeyer peppas | Hixon crowell | |||
F1 | 0.729 | 0.729 | 0.983 | 0.969 | 0.729 | 0.434 | 0.017 |
F2 | 0.643 | 0.643 | 0.988 | 0.987 | 0.643 | 0.478 | 0.018 |
F3 | 0.633 | 0.634 | 0.990 | 0.986 | 0.634 | 0.452 | 0.019 |
F4 | 0.798 | 0.962 | 0.983 | 0.943 | 0.928 | 0.416 | 15.800 |
F5 | 0.810 | 0.969 | 0.984 | 0.945 | 0.937 | 0.430 | 15.718 |
F6 | 0.778 | 0.967 | 0.987 | 0.950 | 0.930 | 0.437 | 16.739 |
F7 | 0.707 | 0.917 | 0.985 | 0.944 | 0.867 | 0.404 | 15.934 |
F8 | 0.751 | 0.941 | 0.979 | 0.928 | 0.900 | 0.398 | 16.390 |
F9 | 0.749 | 0.943 | 0.972 | 0.924 | 0.901 | 0.407 | 17.349 |
Statistical Analysis of Dissolution Data
The 32 full factorial design was selected to study the effect of independent variables HPMC K100M LVCR as sustaining polymer and PEG 400 as plasticizer for sustaining the release of Glipizide and forming spherical pellets. The response data was analyzed by using Stat Ease Design Expert 8.0.1 software (Minneapolis, MN, USA). Summary of statistical design and responses shown in Table 24 and 25 respectively. The results were shown in the Table 26 and 27.
TABLE 24: SUMMARY OF STATISTICAL DESIGN
Factor | Name | Unit | Type | Actual values | Coded Values | ||
Lowest | Highest | Lowest | Highest | ||||
A | HPMC K100M LVCR | gm | Numerical | 0.5 | -1 | +1 | |
B | PEG 400 | % | Numerical | 1 | 3 | -1 | +1 |
TABLE 25: SUMMARY OF RESPONSES
Response | Description | Units | Analysis | Min | Max | Mean | |
Y1 | Q3 | % | 9 | polynomial | |||
Y2 | Q16 | % | 9 | polynomial |
The final equations in terms of coded values of factors and actual values of factor obtained from software Design Expert are given below-
Final equation for Q3 in terms of coded factors
Q3 =47.10 - 42.34 (A) +7.83 (B)-1.68 (AB) + 17.32(A) 2 -1.00 (B) 2
Final Equation for Q16 in Terms of Coded Factors
Q16 = 123.46 - 65.71 (A) - 0.84(B) +0.25(AB) +21.12(A) 2+0.79(B) 2
Analysis of variance for Q3
TABLE 26: ANALYSIS OF VARIANCE FOR Q3
Source | F Value | p-value Prob > F |
Model | 51.18 | 0.0042 |
A-Spheronization speed | 49.34 | 0.0059 |
B-Spheronization time | 6.75 | 0.0804 |
AB | 2.85 | 0.1899 |
A2 | 37.83 | 0.0086 |
B2 | 2.03 | 0.2496 |
FIGURE 8: 3D PLOT FOR Q3
TABLE 27: ANALYSIS OF VARIANCE FOR Q16
Source | F Value | p-value Prob > F |
Model | 70.77 | 0.0026 |
A-Spheronization speed | 46.91 | 0.0064 |
B-Spheronization time | 0.03 | 0.8720 |
AB | 0.02 | 0.8840 |
A2 | 22.20 | 0.0181 |
B2 | 0.49 | 0.5327 |
FIGURE 9: 3D PLOT FOR Q16
Influence of Robustness on Release Profile of Glipizide Pellets
Influence of robustness on release profile of Glipizide pellets was studied by testing matrix pellets at different agitation speed (rpm i.e. 100 and 150 ) in dissolution media (0.1N HCL for 2hr and PH 6.8 phosphate buffer for remaining 24 hr) using USP type (Basket) dissolution apparatus as shown in Table 28. This matrix system shows the improved physical characteristics that exhibited similar dissolution profile. It means these matrix system not only modulated the release profile but also produced more robust matrix system.
TABLE 28: INFLUENCE OF ROBUSTNESS ON RELEASE PROFILE OF GLIPIZIDE PELLETS
Time | RPM 100 | RPM 150 |
1 | 17.912 | 15.78 |
2 | 29.031 | 28.621 |
3 | 34.629 | 32.389 |
4 | 36.426 | 35.313 |
5 | 42.256 | 40.295 |
6 | 46.756 | 49.492 |
7 | 51.284 | 53.101 |
8 | 55.596 | 56.646 |
9 | 64.25 | 66.548 |
10 | 67.473 | 68.14 |
11 | 69.255 | 69.259 |
12 | 75.257 | 71.77 |
16 | 84.298 | 84.028 |
24 | 99.177 | 101.447 |
Effect of Plasticizer on Pellets Roundness and Drug Release
The ease in pellets production process and changes in mechanical properties of pellets would be the advantages of using plasticizer in production of pellets containing HPMC in their formulation. The PEG 400 increases drug release as increasing the level from 1% to 3%. These drug release increase may be due to as PEG 400 is hydrophilic agent and solubility enhancing agent9.
Overall PEG400 is a potential plasticizer in production of pellets based on HPMC K100M LVCR and Glipizide. The ease in process of extrusion-spheronization and change in mechanical properties of pellets from brittle to plastic behavior were advantages of using PEG400.
PEG 400 as plasticizer above 2%, increases the plasticity of damp mass which is suitable for ease in process of extrusion-spheronization and change in mechanical properties of pellets from brittle to plastic behavior leads to spherical and more uniform pellets but PEG 400 as plasticizer at 1% unable change in mechanical properties of pellets from brittle to plastic behavior leads to oval and some Dumbbell +Ellipsoid pellets as shown in Figure 10. Batches F2 F3, F5, F6, F9 are good spherical pellets as the effect of conc. of PEG 400 as plasticizer on shape of pellets with respect to different concentration of HPMC K100M LVCR.
FIGURE 10: EFFECT OF PLASTICIZER ON PELLETS ROUNDNESS
CONCLUSIONS: The Glipizide sustained release matrix pellets were successfully prepared. In present investigation, industrially applied extrusion spheronization technique was used to prepare matrix Glipizide pellets. MCC PH101 was used as a spheronization aid and HPMC K4M (2.5% w/w) as binder. The matrix pellets achieved good sphericity, low friability, narrow particle size distribution and smooth surface.
These formulated pellets sustained Glipizide release upto 24 hrs by using HPMC K100M LVCR as hydrophilic matrix polymer and PEG 400 as potential plasticizer. The study revealed successful application of factorial design, optimization of extrusion spheronization process.
The investigation carried out far has been encouraging and leading to summarization:
- Formula of robust matrix pellets was developed with proper and compatible excipients.
- Speed and time of spheronization is critical parameter for optimum sphericity. The Optimum speed and time of operating spheronization is 1350 rpm and 15 min.
- The results of this study showed that combination of HPMC K100M LVCR as hydrophilic matrix polymer and PEG 400 as potential plasticizer is effective and useful for sustaining the Glipizide release to treat diabetes mellitus.
- The resultant optimum formulation was the one with HPMC K100M LVCR as hydrophilic matrix polymer. The in-vitro studies showed Q16 at approximately 80% cumulative release in case of F4, F5, F6, It indicates that this system can sustain the release upto 24 h which is desirable for sustained release specificity.
- Although, the hydrophilic matrix polymer optimization is critical for drug release, this study suggests the promising approach for formulation of sustained release matrix pellets of Glipizide.
ACKNOWLEDGEMENTS: Authors are thankful to Wockhardt research centre for providing gift sample of Glipizide.
DECLARATION OF INTEREST: The authors report no conflicts of interest. The authors are responsible for the content andwriting of this paper.
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How to cite this article:
PuranikPK, Pol SD, Patil SB, Ransing NG, Ramteke PS, Patil BA, Khobragade PK and Palaskar RG:A Novel Sustained Release Robust Matrix Pellets of Glipizide. Int J Pharm Sci Res2015; 6(1): 333-44.doi: 10.13040/IJPSR.0975-8232.6 (1).333-44.
All © 2013 are reserved by International Journal of Pharmaceutical Sciences and Research. This Journal licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
Article Information
41
333-344
2003KB
1559
English
IJPSR
P. K. Puranik, S. D. Pol *, S. B. Patil, N. G. Ransing, P. S. Ramteke, B. A. Patil, P. K. Khobragade and R. G. Palaskar.
Department of pharmaceutics, Government College of pharmacy, Aurangabad-431005, MH, India.
polshankar01@yahoo.com
24 May, 2014
26 July, 2014
16 September, 2014
http://dx.doi.org/10.13040/IJPSR.0975-8232.6(1).333-44
01 January, 2015