Preparation and Evaluation of Gelucire Based Matrix Pellet Loaded with Antihypertensive Drug for Controlled Release

 

Harpal Sinh Rathod*

Institute of Pharmaceutical Science & Research centre, Bhagwant University, AJMER

*Corresponding Author E-mail:

 

ABSTRACT:

Nifedipine is a calcium antagonist, which is widely used as a coronary dilator in hypertension. It shows dose related side effects (10 mg – 100mg) with serum half-life of (2-5 hours). High incidence and severity of side effects have led to the search for new delivery system, which can overcome the side effects by controlling the rate of drug release. In this study Nifedipine controlled release matrix pellets were prepared using a novel blend of polymers called Gelucire. Gelucires were successfully used to prepare controlled release matrix pellets. Drug, Microcrystalline cellulose (Avicel PH101), Gelucire 50/13 and Gelucire 50/02 were mixed in suitable ratios so as to design a dosage form delivering 20 mg of drug to be administered once a day. Extrusion spheronization and Melt solidification method were used to prepare matrix pellets. Spheronization proved to be more efficient and successful in controlling the release of Nifedipine from matrix pellets in contrast to pellets prepared by Melt solidification method. The prepared pellets were characterized for micromeritic properties and polymer drug compatibility by FT-IR and DSC and surface morphology by SEM. The obtained values of micromeritic properties were within the limits indicating good flow properties. The surface morphology showed that prepared pellets were spherical and showed same surface texture. Dissolution studies showed that the release rate of drug from pellets decreased by increasing Gelucire and MCC content in the formulation. The in vitro release studies of pellets exhibited a tœ dependence indicating diffusion -controlled process. Stability studies were carried out for optimized formulation, for a period of 90 days at 40 șC  75% RH, 30 șC/65% RH and at 25 șC/60% RH showed that there was no significant change in the drug content and hence the product is assumed to be stable.

 

KEYWORDS: Nifedipine; Gelucires; Pellatization; Extrusion / spheronization.

 


INTRODUCTION:

In recent years, sophisticated drug delivery systems have been devised and developed to release the drug substance into the body at a controlled and predetermined rate. Through these controlled release devices, the drug is administered at a specific rate that maintains its concentration within optimum limit and directs the active ingredient to the target area.

 

Controlled release dosage forms (CRDF) have been developed for over three decades. They have increasingly gained popularity over other dosage forms in treating disease.

 

Controlled release systems1 provide numerous benefits over conventional dosage forms. Conventional dosage forms, which are still predominant for the pharmaceutical products, are not able to control either the rate of drug delivery or the target area of drug administration and provide an immediate or rapid drug release. This necessitates frequent administration in order to maintain therapeutic level. As a result, drug concentration in the blood and tissues fluctuate widely. The concentration of drugs may be initially high, that can cause toxic/and or side effects, then quickly fall down below the minimum therapeutic level with time elapse. The duration of therapeutic efficacy is dependent on the frequency of administration, the half-life of drug and release rate of dosage form. In contrast, controlled release dosage forms are not only able to maintain therapeutic levels of drug with narrow fluctuations, but they also make it possible to reduce frequency of drug administration. The serum concentration of drug released from controlled release dosage forms fluctuates within the therapeutic range over a long period of time.

 

The serum concentration profile depends on the preparation technology, which may generate different release kinetics, resulting in different pharmacological and pharmacokinetic responses in the blood or tissues.

 

These days considerable attention is focused on the development of Novel drug delivery system (NDDS). The reason for this paradigm shift is the low development cost and time required for introducing a NDDS, as compared to new chemical entity. There are various NDDS available in the market but the oral controlled release system hold a major because of their ease of administration and better patient compliance.

 

NEED FOR THE STUDY:

Pellets are multiparticulates of varying diameter depending on their application. When multiparticulate systems were compared to single unit dosage forms, they4 showed low intra and inter subject variability in gastric emptying times and better homogeneous distribution within the contents of gastrointestinal tract. The risk of dose dumping can be significantly reduced with multiparticulates compared to single unit dosage forms. Multiparticulate controlled release dosage forms showed better patient compliance and ease of administration. Many polymers are used as matrix forming agents which includes ethyl cellulose, polyvinyl acetate etc. But lipid offers great potential as matrix formers in loading the drug into matrix pellets, such as the combination of waxes; starches and maltodextrins were successfully used in controlling the drug release. A Combination of Glycerol monostearate and microcrystalline wax could effectively prolong drug release. The addition of glycerolmonostearate to microcrystalline cellulose (MCC) based pellets prepared by Extrusion – Spheronization did not result in the retardation of drug release, it was only controlled by the solubility of drug. Gelucires are successfully used to prepare controlled release matrix pellets. Recently studies5 showed that increase in the gelucire content leads a decrease in the drug release rates. So, the present study is carried out to investigate the effects of gelucire blends in formulations and processing parameters on the drug release patterns, which help to understand the drug release kinetics.  Nifedipine6 is a dihydropyridine derivative and has a narrow margin of safety. It is a calcium antagonist, which is widely used as a coronary dilator in hypertension. Clinical studies7 have shown that the hypotensive effect of this drug could be correlated with the plasma Nifedipine. It is therefore important to prolong the plasma concentrations so as to control and regulate the therapeutic effects of Nifedipine over a longer duration. Nifedipine is a poorly soluble drug, and its absorption in GIT is rate limited. It has a short biological half-life of about 2-5 hours.

 

Materials and methods:

Materials

Materials

 

Source

Nifedipine IP

:

Cadila Ahemdabad

Gelucire 50/02

:

Gattefosse SAS,Chemin De Genas,France

Gelucire 50/13

:

Gattefosse SAS,Chemin De Genas,France

Microcrystalline Cellulose IP

:

Loba Chemie, Mumbai

Lactose IP

:

Loba Chemie, Mumbai

Polyvinylpyrolidone IP

:

Loba Chemie, Mumbai

Sodium lauryl sulphate IP

:

Loba Chemie, Mumbai

Isopropyl alcohol

:

Ranbaxy fine chemicals, Mumbai

Methanol

:

Loba Chemie, Mumbai

Acetone

:

Loba Chemie, Mumbai

 

Methods:

Preparation

Preparation of Gelucire based matrix pellets by Extrusion / Spheronization

Drug, Gelucire 50/02, Gelucire 50/13, Avicel and aqueous SDS solution (0.5% w/w) were manually mixed in a mortar. Drug, Gelucire 50/02 and 50/13, Avicel was used to make Matrix pellets. 8% PVP solution in IPA: Distilled water combination (20: 80) was used as binder. The quantity of the binder solution used was sufficient to maintain loss on drying.

 

Procedure

The powders – Nifedipine, Gelucire 50/02, Gelucire 50/13 and Avicel PH 101 were passed through a 40-mesh sieve. PVP was dissolved in a IPA water mixture and stirred to get a clear solution. The powders were granulated with the PVP solution to get a good dough mass of extrudable consistency. The volume of the binder solution required was noted and the quantity of the binder used was calculated from the percentage of binder used was calculated from the percentage of binder solution.

 

The wet mass was extruded into short cylinders using a cylinder roll type gravity feed extruder with a roller speed setting of 100 rpm. A granulating cylinder with 1.0 mm pore size was used and extrudates were obtained. Spheronization of the extrudates was carried out in the spheronizer using a serrated plate. The Spheronization speed was varied to get pellets of good sphericity. The air velocity was maintained at 1 Kg/ Cm2. Drying of the pellets was carried out in a tray drier.


 

Fig.11 Flow chart representation of Extrusion Spheronization method

 


Table 5. Formulation Chart (Extrusion / Spheronization)

Formulation

Code

Nifedipine

(% w/w)

Gelucire 50/13

(% w/w)

Gelucire  50/02

(% w/w)

Avicel  Ph 101

(% w/w)

SLS

(%w/w)

F1

20

5

10

65

0.5

F2

20

10

10

60

0.5

F3

20

15

10

55

0.5

F4

20

20

10

50

0.5

F5

20

25

10

45

0.5

F6

20

30

10

40

0.5

 


 

Melt-solidification method

Nifedipine (1 g) was dispersed into a Gelucire melt (4 g). Using a pipette this dispersion was dropped into water (ambient temperature under stirring at 750 rpm), resulting in pellet solidification upon cooling. The beads were separated by sieving, washed with demineralized water, divided into different size fractions (by sieving) and dried at 40 oC for 24 hours.         

 

 

Table 6. Formulation chart (melt solidification method)

Formulation code

Nifedipine (grams)

Gelucire 50/13(g)

Gelucire 50/02(g)

E1

1

2

2

E2

1

1.5

2.5

E3

1

1

3

E4

1

0.5

3.5

 

 

 

CHARACTERIZATION OF MATRIX PELLETS

1.   Yield of pellets

2.   Particle size distribution

3.   Density

     3.1 Bulk density

     3.2 Tapped density

     3.3 Granule density

4.   Flow properties

     4.1 Carr s index

     4.2 Hausner’s ratio

     4.3 Angle of repose

5.   Mechanical strength / Friability

6.      Shape analysis

7.      Compatibility studies by FT-IR and DSC

8.      Surface Morphology by SEM

 

Evaluation parameters

1. Drug loading and %encapsulation efficiency

2. In vitro release studies and comparison with marketed product

3. Stability studies

Characterization of matrix pellets

1.  Yield of the Process

Weighing the pellets and then finding out the percentage yield with respect to the weight of the input materials that is weight of drug, MCC and lactose used determined the yield.

 

 

 

2. Particle size distribution

Particle size distribution of Nifedipine containing pellets was done by sieve analysis method using a set of US standard sieves. US standard Sieves of the size # 14, #16, #18 and #20 were taken with pellet load of 10 g. Sieve nest was hand shaken for 10 minutes. The arithmetic mean diameter of Nifedipine pellets was determined from sieve analysis. The net weight retained on each sieve was determined and recorded. Average values were used for the calculation of particle size distribution.

 

3. Density

The bulk and tap densities of pellets are determined to gain an idea of the homogeneity of particle size distribution. The density of pellets can be affected by changes in the formulation and/or process, which may affects other processes or factors, such as capsule filling, coating, and mixing. Variation of density from batch to batch affects the potency of the finished capsule, causes problems in batch size determination during coating and produces segregation during mixing.

 

3.1 Bulk Density

6 batches of 16g pellets in each batch were taken in a graduated cylinder and volume    occupied was found out. Bulk Density is calculated using the formula.

 

 

3.2 Tapped Density

About 15 gm of Nifedipine pellets were taken in the measuring cylinder and the initial volume (Vi) was noted. Sample was tapped on tap density tester USP-I mode for the pre-set 500 taps. The volume after tapping (Vf) was noted. Volume were recorded only when the difference of Vi – Vf was less than 2%. If the difference of Vi – Vf   was more than 2%, the tapping was continued for another 750 or 1250 taps till the difference between Vi and Vf   was less than 2%.

 

The tapped density (g/ml) was calculated by

 

Where, M = Weight of sample powder taken (gm)

Vf = Final tapped volume (ml)

 

3.3 Granule density

For the determination of granule density, exactly 1 g of the pellets were poured into 5 ml of petroleum ether taken in a 5 ml volumetric flask. The volume of the ether displaced was measured. The quotient of the weight of pellets and the volume of petroleum ether displaced was taken as the granule density (rg). All the determinations were done in triplicate and the average ± S.D* was calculated

 

Where, W is quotient of weight of Pellets

Vp is volume of petroleum ether displaced

 

 

4. Flow properties

4.1 Compressibility Index

Carr’s index is a dimensionless quantity, which proved to be useful to a certain   degree, as the angle of repose values for predicting the flow behaviour.

The Compressibility index (CI) was calculated using the following formula.

 

100

Compressibility index and its relationship between flow properties are shown in Table 7.

 

Table 7. Relationship between CI of powder and its flow properties

Compressibility Index (CI) (%)

Flow Property

1-10

Excellent

11-15

Good

16-20

Fair to passable

21-25

Passable

26-31

Poor flow

32-37

Very poor

 

4.2 Hausner’s Ratio

The Hausner ratio of the Nifedipine pellets was determined by dividing the tapped density by bulk density. Hausner ratio and its relationship between flow properties are shown in Table 8.

 

 

Table 8. Relationship between Hausner ratio of powder and type of flow

Hausner Ratio

Type of Flow

Less than 1.25

Good flow

1.25 – 1.5

Moderate

More than 1.5

Poor flow

 

4.3 Angle of Repose

Angle of repose is an indicative of the frictional forces exhibited between the particles. The angle of repose is defined as the maximum angle between the surface of the pile and the horizontal plane. The flow properties of the drugs and the excipients are critical for efficient tableting. These properties are necessary to assure efficient mixing, content uniformity and weight uniformity of the tablets. Fixed funnel method was employed. A funnel that was secured with its tip at a given height above the graph paper was placed on a flat horizontal surface. 30 g of pellets were carefully poured through the funnel until the apex of the conical pile just touches the tip of the funnel. The radius and height of the pile were then determined. The angle of repose (θ) for samples were calculated using the formula, the flow rate was calculated as the time taken for 10 g of Pellets to flow through a funnel of 5 mm internal diameter. All the determinations were repeated in triplicate and the average ± S.D was calculated.

 

q = tan–1(h/r)

Where, q = Angle of repose

h = Maximum cone height

r = Radius of the base of the pad

Influence of angle of repose on flow properties is given in Table 9

 

Table 9. Relationship between Angle of repose of powder and its flow characteristics

Angle of Repose () (Degree)

Flow Property

25- 30

Excellent

31 –35

Good

36 –40

Fair

41-45

Passable

46-55

Poor

56-65

Very poor

 

5. Mechanical strength/Friability

Matrix pellets having size between 1410-1000 ”m and a known mass were placed in the Roche friability tester and subjected to impact test at 25 rpm for 5 minutes. After passing the load through the sieve of mesh size (840 ”), the weight of material which do not pass through the sieve was determined and % friability was calculated using the equation.

 

Where Wo is the initial weight

W   is the weight retained

 

Table 10. Overview of friability testing methods for pellets

Method

Description

Erweka friabilator

Roche friabilator

Pharma Test friabilator

Rotating drum like friability testing apparatus for tablets.

Turbula

Turbula blender (closed test system)

Born Friabimat Retsch ball mill

Horizontal shaker (closed system)

Laboratory coating apparatus

Fluid bed device

 

6. Shape analysis

Pellets of the optimum size were taken and stained by Amaranth dye solution in a petridish. After staining they were dried in hot air oven. Tracings of each pellet were taken using camera Lucida fixed to optical microscope (magnification 10x) and were used to calculate the area of the images (A) and the maximum and minimum radii were calculated from which the various shape factors were calculated

 

Where A is area (cm2)

P is the perimeter of the circular tracing

 

 Min. Radius

 

7. Compatibility studies by FT-IR and DSC

v  Fourier Transformed Infra Red spectroscopy (FTIR)

The prepared and optimized tablets formulations were characterized by Fourier transform infrared spectroscopic analysis, using FT-IR 8400S(Shimadzu, Japan). Spectral measurements of the pure drug and optimized formulation were carried out by dispersing pure drug and formulations in dried KBr powder and the pellets were made by applying 6000 kg/cm2 pressure. FT-IR spectra were obtained by powder diffuse reflectance on FT-IR spectrophotometer. FT-IR spectrum of drugs was compared with FT-IR spectra of formulations. Disappearance of peaks or shifting of peak in any of the spectra was studied.

 

v  Differential Scanning Calorimetric Studies

DSC analysis was carried out to ascertain the compatibility of drug with the excipients. Study was performed on a Mettler Toledo, DSC822 Japan. About 3 mg to 8 mg of the powered sample was placed in a sealed aluminium pan, heated under nitrogen flow (10 ml/min) at a scanning rate of 10oC min-1, from 40oC to 250oC. An empty aluminum pan was used as reference.

 

8. Surface morphology by SEM

v  Scanning electron microscopy

The scanning electron microscope Joel, LV-5600, USA was employed to identify and confirm the dimension of pellets, study of surface topography, smooth and optimal spherical shape, at the range of magnification 25X – 100X.

 
Evaluation parameters:
1. Drug loading and Encapsulation efficiency

Pellets containing drug equivalent to 20 mg was dissolved in 5 ml of methanol and volume was made with 7.4pH phosphate buffer in a 100ml volumetric flask. It was further kept overnight and then filtered using whartmann filter paper. From this, 1 ml of solution is transferred to 10ml volumetric flask. Absorbance was measured at 338 nm; the drug content was calculated from standard plot. Amount of drug is found out by using the formula, Drug loading capacity is found out by calculating the amount of drug present in 100 mg of pellets. It is further calculated by using formula

 

                           

Amount of drug =

 

Concentration from standard graph x   bath volume x  dilution factor

                                               1000

 

 

 

10. In vitro release studies and comparison with marketed product

In vitro drug release from the pellets was carried out 37 ± 0.1o C in U.S.P automated dissolution tester (Type XXII-paddle apparatus). Dissolution was carried out for 24 hrs at 100 rpm. Pellets were studied both in 900 ml of pH 1.2 HCL buffer for initial two hours and then at pH 7.4 phosphate buffer for 22 hours. At regular time interval, samples were withdrawn and analyzed for the drug using a U.V visible spectrophotometer. In vitro release studies were carried out for matrix pellets prepared by extrusion spheronization as well as by melt-solidification method.

The release data obtained were fitted into Higuchi and Peppas models to understand the release mechanism. Drug release was estimated by UV-Spectroscopy at 338 nm.

The comparative dissolution release study was carried out for optimized formulation F-6 with marketed product Adalat (OROS).

 

The similarity factor (f 2) was employed to compare the release profiles

 

A differential and similarity factor was calculated from the mean dissolution data according to the following equations.

 

 

Where,

        f 1    Differential factor

        f 2    Similarity factor

        n     Number of time point

        Rt         Dissolution value of the reference at‘t’ time

        Tt     Dissolution value of test formulation at‘t’ time

 

 

Differential factor f1 was calculated by the percentage difference between the two curves at each time point and was a measure of the relative error between the two curves. The acceptable value for f 1 is 0-15.

 

The Similarity factor f2 was logarithmic reciprocal square root transformation of the sum-squared error and is a measure of the similarity in the percentage dissolution between the reference and test products. For a dissolution profile to be considered similar, the value for f2   should be in the range of 50-100. An f2   value of 100 suggests that the test and reference profiles are identical and as the value becomes smaller, the dissimilarity between release profiles increases.

 

9. Stability studies

Stability is defined as the ability of a particular drug or dosage form in a specific container to remain within its physical, chemical, therapeutical and toxicological specifications. The optimized formulation F-6 was selected for the stability study. Stability study of accelerated conditions was carried out on pellets. Pellets weight equivalent to 10 capsule were packed and sealed in polybags and were placed in glass bottles and subjected to following protocol

 

Ű  25 ± 2oC and 60 ± 5% RH

Ű  30 ± 2oC and 65 ± 5% RH

Ű  40 ± 2oC and 75 ± 5% RH

 

The appearance and drug content was evaluated for a time period of 3 months.

 

Results and discussion:

1. Yield of the process

Percentage yield of matrix pellets prepared by extrusion spheronization were calculated for the six replicate batches. The % yield was found in the range of 86 – 95% summarized in Table 11. Similarly % yield of the pellets prepared by melt solidification method was calculated for four batches and was found in the range of 75% - 79%.

 

2. Particle size Distribution

Particle size distribution for 6 replicate batches was performed and the data is given in Table 12. The corresponding graph is shown in Figure 12.


 

 

 

 

Table 11: Percentage yield of pellets

Formulation Code

F-1

F-2

F-3

F-4

F-5

F-6

E-1

E-2

E-3

E-4

 % Yield

86.3

92.6

89.6

91.3

93.7

94.5

75.2

75.8

77.0

79.2

 

 

Fig 12: Bar graph of sieve analysis of Nifedipine matrix pellets

 

 


Particle size analysis was done by sieving method shows that the process of extrusion Spheronization to prepare Gelucire pellets was successful as 79% of the finished pellets were found on a 14/16 mesh cut. Only 21% of pellets were found in 16/18-mesh cut. Average pellets diameters ranged from 1235 – 1250 microns. Overall 99% of total pellets obtained in desired range proving that the process is very reproducible for preparing the matrix pellets. The moisture content of wet mass was precisely controlled within the limits to obtain Nifedipine pellets of appropriate size and size distribution. The amount of water used during the wetting phase causes an increase in the median pellet size, whatever the following conditions of extrusion or drying process.

 

Table12: Particle size distribution data of 6 batches of   Matrix Pellets of Nifedipine          

Particle Size Distribution

Batch No.

14/16 mesh

16/18 mesh

18/20 mesh

Mean Particle Diameter (m)

1.        

74.9

24.5

0.6

1239

2.        

73.7

25.1

1.2

1235

3.        

80.5

19.0

0.5

1250

4.        

80.8

18.3

0.9

1250

5.        

78.1

21.0

0.9

1240

6.                           

77.5

22.7

0.8

1245

 

3.1 Bulk Density

Six batches of 15 g of pellets in each batch were taken in a graduated cylinder and average density with SD was found out. Results are shown in the Table 13 and Table 14. The density data of the pellets shows uniform attributes in whole of the gross batches of The Nifedipine matrix pellets. Though some variation in results of Formulation F-2 and F-5 was observed which could be due to effect of variations in concentrations of moistening liquids IPA, water and PVP, which are used as a binder. The dispersible property of Gelucire enhanced the binding properties of moistening liquid thereby producing greater densification. Pellets containing Gelucire with Avicel PH 101 showed higher bulk densities i.e. prepared by Extrusion, which may be due to the particle size and higher density of Avicel and Gelucire blend. 

 

3.2 Tapped Density and Granule density

Tapped density of the matrix pellets was found out for six batches and the difference between the initial and final volume of the matrix pellets was found to be less than 2%. The tapped densities reported in Table 13 and 14, which indicate that a difference in densities is possible even with the related pairs of drugs. A linear relationship exists between tapped density and equivalent diameter of the dry beads, confirming that a larger equivalent diameter results in less dense packing. Little difference in density (tapped or granule) was found among the pellets obtained by Spheronization and melt solidification method perhaps because, due to similar particle size and size distribution and also the packing properties of pellets did not change.

 

Table 13. Densities of pellets prepared by Extrusion spheronization method                                   

Formulation

Code

F-1

F-2

F-3

F-4

F-5

F-6

Bulk      density

0.8265 ± 0.04

0.8303     ±0.81

0.8200  ±0.93

0.8485  ±0.02

0.7548     ±0.03

0.8280        ±0.12

Tapped density

0.9 ±0.48

0.910       ±0.74

0.890    ±0.41

0.923    ±-.05

0.834       ±0.01

0.932          ±0.17

Granule density

1.356 ± 0.74

1.28          ±0.52

1.34      ±0.05

1.58      ±0.03

1.62         ±0.06

1.67            ±0.14

*Standard deviation n=3

 

 

 

Table 14. Densities of pellets prepared by Melt solidification method

Formulation code

E-1

E-2

E-3

E-4

Bulk density

0.776±0.05

0.770±0.34

0.774±0.95

0.793±0.045

Tapped density

0.881±0.06

0.891±0.15

0.852±0.17

0.862±0.053

Granule density

1.17±0.03

1.140±0.04

1.196±0.023

1.096±0.064

*Standard deviation n=3

4. Flow Properties

4.1 Compressibility index

Compressibility index was found for matrix pellets prepared by extrusion spheronization and melt-solidification method and the data is reported in Table 15and16. CI% was found to be in the range of 8 – 12. Hence it can be concluded that the prepared matrix pellets had good flow properties.

 

4.2 Hausner’s ratio

The Hausner’s ratio and Carr index were more or less the same in all the batches, which might have been due to a similar size distribution. Hausner ratio values showed good flowability. High Hausner ratio of pellets containing Avicel PH 101 may be attributed to a higher span value of the size distribution.

 

4.3 Angle of repose

An angle of repose < 30o can also be regarded as an indicator of good flowability of materials. Table 15 and 16 shows the angle of repose and flow rates of the different formulations of pellets prepared by extrusion spheronization and melt solidification method respectively. It was observed that among the pellets containing Avicel PH 101 in higher proportion had the minimum angle of repose. Pellets containing higher proportion of Gelucire had both good circularity as well as high density and as a result they showed very low angle of repose and good flow rate (Table 15 and 16).  The flow properties were less satisfactory when the pellets were dried in a tray dryer. An increase in the drying temperature in the tray dryer improved the flow properties, but the flow properties of the pellets depended on the spheronization time. An increase in spheronization time increased the circularity of the pellets. As expected, increased circularity rendered the pellets more flowable. When the spheronization speed was varied, the results were similar to those obtained with changes in spheronization time. An increased speed of spheronization improved the flow properties of the pellets; mainly by increasing the circularities this improvement was very slight.


 

 

Table 15. Flow properties of different pellets prepared by Extrusion spheronization                      

Formul-ation

Cl %

q o

Hausner’s ratio

Flow rate g /sec

F-1

8.1± 0.054

25.30±0.021

1.083±0.014

1.623± 0.028

F-2

8.7± 0.038

28.40±0.053

1.090±0.086

1.634±0.056

F-3

7.8 ±0.021

24.11±0.038

1.085±0.076

1.653±0.067

F-4

7.7±0.016

27.56±0.051

1.087±0.064

1.689±0.028

F-5

9.5±0.050

23.19±0.032

1.100 ±0.082

1.70  ±0.081

F-6

11.5±0.080

22.38±0.012

1.120  ±0.056

1.72  ±0.023

*Standard deviation n=3

 


Table 16.  Flow properties of pellets prepared by melt fusion method

Formulation

Cl %

q o

Hausner’s ratio

Flow rate

g /sec

E-1

11.9

26.45

1.135

1.43

E-2

13.58

27.87

1.157

1.57

E-3

9.15

25.14

1.100

1.356

E-4

8.0

28.54

1.087

1.324

 

 

Mechanical strength / Friability

The percent friabilities of all the formulations containing higher proportion of Avicel PH 101 were below 1%. With increase in the concentration of Gelucire percent friability increased, but still the presence of even 25% Avicel PH 101 reduced the friability of the pellets. Higher the proportion of MCC in the pellets, the greater was the mechanical strength of the pellets. The friability of all the batches was below 1%. As the drying temperature increased, the percent friability decreased. At the higher temperatures, the pellets might have become more hardened and less friable because of reductions in porosities and shrinkage. The spheronization time seems to have affected the percent friability of the pellets, even though the change in pellet friability was less pronounced with small increases in spheronization time.

 

 

This lack of compaction resulted in light masses, but when the duration of spheronization was increased; hard masses were formed, which led to a reduction in pellet friability. Also, at short spheronization times, the pellets were dumbbell shaped with protruding surfaces, which became more prone to forces during friability testing. % Friability is shown in Table 17 for six batches of matrix pellets prepared by extrusion spheronization. Percent friability values of pellets prepared by melt fusion method were found to be higher when compared to pellets prepared by melt fusion method shown in Table 18.

 

Table 17. Friability test data of six formulations (Extrusion spheronization)

Formulation code

Weight taken (grams)

Friability

F-1

25

0.43%

F-2

25

0.45%

F-3

25

0.47%

F-4

25

0.50%

F-5

25

0.52%

F-6

25

0.53%

 

Table 18. Friability test data of four formulations (Melt solidification method)

Formulation code

Weight taken (grams)

Friability

E-1

25

0.67%

E-2

25

0.78%

E-3

25

0.69%

E-4

25

0.86%

 

Shape analysis

From the results it was observed that sphericity (circulatory factor) was near to one.

 

The shape analysis of the pellets obtained at different drying conditions is shown in Table 19 and 20. The different shape parameters circularity, elongation, and rectangularity did not change much for pellets. Pellets shrink on drying at a higher temperature. The pellet shrinking might have occurred uniformly throughout the pellets, thus leaving the shape unaffected by the drying conditions. The pellet shapes were, however, highly affected by their retention time in the spheronizer during manufacture.  The pellets became rounder with an increase in spheronization time. At 1 and 2 minutes of spheronization the pellets were dumbbell shaped and the pellets became rounder when spheronized for 3 and 5 minutes. However, a further increase in spheronization time did not considerably affect the pellet shapes. At 5 minutes of spheronization, the circularity of the pellets was 0.925, after an optimum time of spheronization; the pellets became compact enough so that no attrition forces could act upon them anymore.

 

Table 19. Shape analysis of pellets obtained by different drying conditions, spheronization times and spheronization speeds

Formulation code

Circularity

Elongation

Rectangularity

F-1

0.853  ± 0.076

1.242 ± 0.101

0.826 ±

0.069

F-2

0.823  ± 0.056

1.250 ± 0.089

0.831 ±

0.074

F-3

0.890 ± 0.069

1. 244 ± 0.096

0.830 ±

0.063

F-4

0.901  ± 0.060

1.128 ± 0.078

0.827 ±

0.080

F-5

0.913 ± 0.078

1.41 ±

 0.068

0.788 ±

0.094

F-6

0.925 ± 0.086

1.149 ± 0.096

0.836 ±

0.077

*Standard deviation n=3

 

Table 20. Shape analysis of pellets obtained by melt solidification method

Formulation code

Circularity

Elongation

Rectangularity

E-1

0.767 ± 0.065

1.406 ± 0.023

0.836±0.029

E-2

0.732± 0.041

1.543±0.045

0.825±0.082

E-3

0.698±0.087

1.483±0.049

0.815±0.038

E-4

0.773±0.0921

1.734±0.032

0.894±0.043

*Standard deviation n=3

 

Compatibility studies

FT-IR analysis

Compatibility between the drugs, polymers and other excipients used were studied by using FT-IR spectroscopy, to ascertain whether there was any interaction between the drug and polymers used. The FT-IR spectra obtained are given in Figures 13,14,15 and 16 .The characteristic peaks of the pure drug were compared with the peaks obtained from their respective formulation and are given in Table21. From the data it was observed that similar characteristic peaks appears with identical or with minor differences, at frequencies 3329.0 cm-1 (N-H stretch), 3101.3 cm-1 (aromatic C-H stretch), 2961cm-1   (C-H stretch for CH3), 1683.8 cm-1 (C=O stretch), 1226.9 cm-1 (C-O stretch), 1433.9 cm-1 (aromatic N-O stretch) and 825.5 cm-1 (aromatic C-N stretch) for Nifedipine and   F- 6 formulation, it appears that there was no chemical interaction between the drug and the polymer. Also the characteristic peaks of the pure drug were compared with the peaks obtained from their formulation and are given in Table 22. From the data it was observed that similar peaks appears with identical or with minor differences, Hence it appears there is no chemical interaction between drug and polymer and it can be concluded that the characteristics bands of pure drugs were not affected after successful loading. There was no any change in their peak position, indicating that there was no chemical interaction between drug and the polymer used.


 

 

 

Fig 17: Thermogram of pure drug and Formulation F-6 and E-3

 


Table21. F T –IR Spectra data of pure drug (Nifedipine) alone and Formulation containing Nifedipine prepared by Extrusion spheronization method.

Group absorption

Frequency of Pure Drug (in cm-1)

Frequency of Formulation

(in cm-1)

N-H stretch

3329.8

3329.2

C-H stretch

3101.6

3101.3

C-H stretch

2961.7

2954.7

C=O stretch

1683.8

1681.8

C-O stretch

1226.9

1226.9

N-O stretch

1433.9

1434.9

C-N stretch

825.5

833.2

Table 22. FT-IR Spectra of pure drug (Nifedipine) alone and Formulation containing Nifedipine prepared by Melt solidification method

Group absorption

Frequency of Pure Drug (in cm-1)

Frequency of Formulation (in cm-1)

N-H stretch

3329.8

3339.8

C-H stretch

3101.6

3101.3

C-H stretch

2961.7

2954.7

C=O stretch

1683.8

1681.8

C-O stretch

1226.9

1226.9

N-O stretch

1433.9

1434.9

 

 

Differential Scanning Calorimetry

Differential scanning Calorimetry was carried out in order to investigate the possible interaction between the drug and polymers, differential scanning Calorimetry studies were carried out. DSC thermogram of the formulation was compared with the DSC thermogram of pure drug sample. About 70 mg of powdered sample was placed in a platinum crucible and the DSC thermograms were recorded at a heating rate of 5oC/min from 25oC to 300oC.

 

The DSC thermograms obtained are reported in Figure 17. The pure Nifedipine displayed a sharp endothermic peak at 175.20oC corresponding to the melting point of the drug, and a similar peak was also observed in the formulation F-6 at 174.57oC confirming the stability of the drug in the formulation also a similar peak was observed at 174.68 oC for E-3 formulation prepared by Melt solidification method.

 

8. Surface Morphology

Scanning electron microscopy

Scanning electron microscopy (SEM) is one of the most commonly used method for characterizing drug delivery systems, owing in large part of simplicity of samples preparation and ease of operation. Scanning electron microscopy was carried out in order to characterize surface morphology, texture and porosity of the prepared matrix pellets.

 

Independent from the used extrusion liquid and extrusion force, all pellets show nearly the same surface texture. Accordingly, the quantity of liquid also has an effect on the roundness of the spheres. Figure18 and 19 shows the surface topography of pellets, where a smooth surface can be observed with its optimal, spherical shape. It also shows approximate diameter of pellets ranging from 1.2 – 1.5 mm. SEM picture of pellets prepared by melt fusion method were scanned at 15 kV. Pellets prepared by melt fusion method were irregular as shown in Figure 20. The shape of pellets can be attributed to lack of plasticity in mass.

 

Drug loading and Encapsulation efficiency

The test for drug content uniformity was carried out to ascertain that the drug is uniformly distributed in the formulation. Here the drug equivalent to 20 mg was dissolved in 5 ml of methanol and volume was made with 7.4pH phosphate buffer in a 100ml volumetric flask. It was further kept overnight and then filtered using whartmann filter paper. From this, 1 ml of solution was transferred to 10ml volumetric flask. Absorbance was measured at 338 nm. The results obtained are reported in Table22 and 23 for the pellets prepared by spheronization and melt solidification method. From the results obtained, it can be inferred that there is proper distribution of Nifedipine in the matrix pellets and the deviation was within the limits.

 

 

 

 

 

 

Table 23. Drug loading and Encapsulation efficiency of formulations prepared by Extrusion spheronization

Formulation code

Drug loading (mg)

Encapsulation efficiency (%)

F-1

16.5

82.5

F-2

17.8

89.0

F-3

16.9

84.5

F-4

18.9

94.5

F-5

17.65

88.25

F-6

19.2

96.0

 

 

Table 24. Drug loading and Encapsulation efficiency of formulations prepared by Melt fusion method.

Formulation      code

Drug loading (mg)

Encapsulation efficiency(%)

E-1

16.5

82.5

E-2

15.5

77.5

E-3

14.6

73

E-4

15.8

79

 

In vitro release studies

In vitro release studies were carried out for all the formulations in both acidic and basic media. The release studies were carried out in 1.2 pH HCl buffer i.e., in SGF for the first two hours to mimic the acidic conditions prevailing in the stomach. For the next 22 hours the release was carried out in basic pH i.e., 7.4 pH buffer to mimic basic condition prevailing in the intestine. The in vitro release data is given in Table 25 for formulations prepared by extrusion spheronization. In contrast to the pellets prepared by the melt solidification method, the observed drug release rates were about constant during significant time periods, irrespective of the type of medium. It was found that Avicel PH101 and different molecular weight blends of Gelucire have proved useful for modulating the release of active agents in controlled release devices for drug release.  The addition of the microcrystalline cellulose filler to both matrices has a marked effect on the dissolution rate. In case of formulation (Formulation) F-4, (Formulation) F-5 and (Formulation) F-6 the microcrystalline cellulose is seen to decrease the release rate. This effect becomes more pronounced as the percentage of Gelucire 50/13 in the formulation increases in formulation (F-6). The main characteristic of the use of microcrystalline cellulose as a filler material is the lack of disintegration which results in a prolonged diffusion controlled drug release.

 

The effect of pellet curing at different temperatures on Nifedipine release in phosphate buffer pH 7.4 was seen for the pellets cured at 40 oC and 45oC for 24 hours. Curing for 24 hours at 40oC led to an increase in the release rate, whereas curing for 24 hours at 45oC led to a decrease in the release rates. The acceleration of drug release upon curing at 40oC can be attributed to decrease in the residual moisture content of pellets. In contrast, curing at 45 oC improved the mechanical stability of the lipid matrices as a result lipid matrices were softened and coalesce with each other resulting in a denser structure and decrease in the drug release rates. In case of pellets prepared by melt solidification method; irrespective of the type of medium Nifedipine release was relatively rapid i.e. within approximately 8 hours the entire drug was released. Interestingly, the release rate was high at early time points, which declined with time. This is a typical behaviour of diffusion-controlled drug delivery systems. At early time points, the diffusion pathways are short, resulting in steep concentration gradients (being the driving forces for diffusion) and, thus, high drug release rates. With increasing time, the length of the diffusion pathways increases, resulting in decreased drug concentration gradients, and thus decreased drug release rates. In- vitro release profile of pellets prepared by Melt solidification method is reported in Table 26.


 

 

 

 

Table 25 In-vitro release data of Nifedipine from Gelucire based matrix pellets prepared by Extrusion spheronization.

Time in hrs

Cumulative percentage release Mean ± S.D*

Formulation code

F-1

F-2

F-3

F-4

F-5

F-6

0

0.00 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

0.00 ± 0.00

1

5.3 ± 0.05

7.6 ± 0.09

7.9 ± 0.029

8.6 ±0.083

9.15±0.021

10.3±0.066

2

16.7 ± 0.07

20.9 ± 0.02

22.6 ±0.037

23.7±0.027

25.1±0.056

28.6±0.022

4

26.9 ± 0.06

31.8 ± 0.08

42.1 ±0.029

46.8±0.080

49.1±0.075

51.3±0.087

6

49.8 ± 0.02

56.1 ± 0.028

59.8 ±0.081

60.5±0.034

63.5±0.019

65.6±0.076

12

65.7 ± 0.01

71.9 ± 0.026

75.6 ±0.019

77.6±0.015

79.5±0.045

82.5±0.018

16

73.2 ± 0.03

79.6 ± 0.039

83.5 ±0.030

85.9±0.018

88.6±0.017

90.1±0.087

18

79.9 ± 0.04

84.7 ± 0.037

86.9 ±0.028

89.8±0.072

93.8±0.076

95.3±0.063

20

82.0 ± 0.06

86.6 ± 0.087

90.2 ±0.076

92.1±0.038

95.9±0.016

96.9±0.074

24

84.1 ± 0.05

88.9 ± 0.038

92.5 ±0.091

94.9±0.011

96.5±0.065

98.9±0.022

*Standard deviation n=3

 

Table 26 In-vitro release data of Nifedipine from pellets prepared by Melt solidification method.

Time in hrs

Cumulative percentage release Mean ± S.D*

Formulation code

E-1

E-2

E-3

E-4

0

0.00±0.00

0.00±0.00

0.00±0.00

0.00±0.00

1

25.6 ±0.04

27.2±0.09

27.9±0.04

28.6±0.13

2

46.7±0.012

51.9±0.037

52.6±0.06

53.7±0.07

4

76.9±0.05

77.8±0.026

79.1±0.06

81.8±0.018

6

99.8±0.05

-

-

-

12

-

-

-

-

16

-

-

-

-

18

-

-

-

-

20

-

-

-

-

24

-

-

-

-

*Standard deviation n=3

 

Fig 21: In-vitro release profile of Nifedipine from matrix pellets prepared by Extrusion spheronization

 

Fig22: In-vitro release profile of matrix pellets prepared by Melt solidification method

 

 


Comparison with a marketed product

Formulation F-6 was compared with a marketed product Adalat CR OROS capsule (20mg) to be given once in 24 hours. In the Figure 23 the percentage of drug released from formulation F-6 and marketed controlled release Nifedipine capsule is plotted as a function of time. The dissolution data is tabulated in Table 27. It is evident that prepared matrix pellets by extrusion spheronization have similarity in release when compared to  the marketed product.

 

Formulation Adalat OROS (20mg)

Dissolution of drug from the F-6 formulations was compared with marketed product OROS (20mg) using f 1 (differential) and f 2 (similarity) factor. The values of 0-15 for the f1 and the values of 50-100 for f2 are acceptable. The values of f1 and f2 of formulation   F-6 and OROS were found to be 5.98 and 93.6 respectively. The values showed the similarity in release profiles

Table 27.Drug release data of formulation n F6 and OROS Adalat

(20 mg)

S.No.

Time (hr)

% Drug Release ± S.D*

F-6

OROS

1

1

8.9 ± 0.7

10.3 ± 1.2

2

2

26.34 ± 0.9

28.06± 2.1

3

4

48.23 ± 1.6

51.3± 0.8

4

6

65.6  ± 0.4

67.21 ± 2.8

5

12

84.34± 1.4

82.5 ± 1.6

6

16

88.65± 1.6

90.1 ± 1.7

7

18

92.38 ± 0.2

95.3 ± 2.4

8

20

94.45±0.5

96.9 ± 1.7

9

24

96.01±0.1

98.3 ± 2.4

 

 

Table- 28. Release kinetic data of formulations F-1, F-2 and F-3

Time in

Hrs

Formulation Code

F-1

F-2

F-3

Log t

Log %

Cum. Rel

Log %

Cum. Ret

Log %

Cum. Rel

Log %

Cum. Ret

Log %

Cum. Rel

Log %

Cum. Ret

1

0.7242

1.976

0.88

1.965

0.897

1.964

0

2

1.222

1.92

1.32

1.898

1.354

1.888

0.301

4

1.429

1.863

1.5

1.833

1.624

1.762

0.602

6

1.6972

1.7

1.748

1.642

1.776

1.604

0.778

12

1.817

1.535

1.856

1.448

1.878

1.387

1.079

16

1.864

1.428

1.9

1.309

1.921

1.217

1.204

18

1.902

1.303

1.927

1.184

1.939

1.11

1.255

20

1.913

1.255

1.937

1.127

1.955

0.991

1.301

24

1.924

1.201

1.948

1.045

1.966

0.875

1.38

 

 

Table 29. Release kinetic data of formulations F-4, F-5 and F-6

Time in

hrs

Formulation Code

F-4

F-5

F-6

Log t

Log %

Log %

Log %

Log %

Log %

Log %

Cum. Rel

Cum. Ret

Cum. Rel

Cum. Ret

Cum. Rel

Cum. Ret

1

0.934

1.96

0.961

1.958

1.1

1.952

0

2

1.374

1.882

1.398

1.875

1.448

1.856

0.301

4

1.67

1.725

1.691

1.706

1.71

1.687

0.602

6

1.781

1.596

1.802

1.562

1.816

1.536

0.778

12

1.889

1.35

1.9

1.311

1.916

1.243

1.079

16

1.933

1.149

1.947

1.056

1.954

0.995

1.204

18

1.953

1.008

1.972

0.792

1.979

0.672

1.255

20

1.964

0.897

1.981

0.612

1.986

0.491

1.301

24

1.977

0.707

1.984

0.544

1.995

0.041

1.38

 

Table 30. Data of various parameters of model fitting of formulations F-1, F-2 and F-3

Model Fitting

Formulation Code

F-1

F-2

F-3

R

K

R

K

R

K

Zero

0.9604

3.0480

0.9550

3.2781

0.9479

3.4929

First

0.9196

-0.0484

0.9200

-0.0545

0.9123

-0.0616

Matrix

0.9176

12.4575

0.9308

13.4813

0.9337

14.4069

Peppas

0.9434

9.7133

0.9407

12.5832

0.9334

14.7250

Hixson

0.9402

-0.0136

0.9411

-0.0151

0.9361

-0.0166

 

 

Fig.25: Comparison studies of optimized F-6 (Formulation) and Marketed

Fig 26: Release mechanism of formulations F-1 to F-6

 

Fig 27: Release kinetic profile of formulations F-1 to F-6

 

Table 31. Data of various parameters of model fitting of formulations F-4, F-5 and F-6

 

Model Fitting

Formulation Code

F-4

F-5

F-6

R

K

R

K

R

K

Zero

0.9517

3.6822

0.9291

3.8597

0.8682

4.0003

First

0.9135

-0.0684

0.9027

-0.0758

0.8944

-0.0795

Matrix

0.9497

15.2374

0.9536

16.0709

0.9635

16.8635

Peppas

0.9510

15.9603

0.9466

19.1864

0.9567

24.4529

Hixson

0.9442

-0.0180

0.9371

-0.0195

0.9274

-0.0203

 

Table 32. Release kinetic data of formulations (F-1-F-6) Higuchi plot

Time in hrs

 

√ time

Cumulative release in mg

F-1

F-2

F-3

F-4

F-5

F-6

1

1

1.06

1.52

1.58

1.72

1.83

2.06

2

1.41

3.34

4.18

4.52

4.74

5.00

5.162

4

2

5.38

6.36

8.42

9.36

9.82

10.26

6

2.44

9.96

11.22

11.96

12.1

12.7

13.12

12

3.464

13.14

14.38

15.12

15.52

15.9

16.5

16

4

14.64

15.92

16.7

17.18

17.72

18.02

18

4.242

15.98

16.94

17.38

17.96

18.76

19.06

20

4.472

16.40

17.32

18.04

18.42

19.18

19.38

24

4.898

16.82

17.78

18.5

18.98

19.3

19.78

 

 

Fig. 28: Higuchi plot of formulations (F-1 – F-6)


HIGUCHI PLOTS

The amount of drug released versus square root of time was plotted. The plot was found to be linear hence, the release of drug from the delivery system is diffusion controlled. The plots were linear and the results showed that drug release from the delivery system was by diffusion.

 

Mathematical model fitting of obtained drug release data

The in vitro release studies data was fitted in to various mathematical models to determine which is the best-fit model. The various parameters ‘n’, the time exponent .k., the release constant and .R., the regression coefficient, were also calculated. The results indicate that, the best-fit model in all the cases was found to be Peppas model (Table 32and 33)

Koresmeyer-Peppas equation:

Mt/M∞ = 1- A (exp -Kt)

log(1 - Mt/M∞) = logA . kt/2.303

·        R = regression co-efficient

·        n = time exponent

·        k = release rate constant.

 

The value of ‘n ‘determined from Koresmeyer-Peppas equation was found to be above 0.5,which indicates that the drug release from the pellets follows non-Fickian or Super case II transport respectively The various parameters viz., the intercept, A, the release constant K and regression coefficient, R2 obtained are given in Table 33.

 

 


 

 

Table 33. Data obtained for Peppas model fitting

Parameter

F-1

F-2

F-3

F-4

F-5

F-6

K

-0.0003

-0.0003

-0.0003

-0.0004

-0.0004

-0.0003

A

0.5910

0.5853

0.5794

0.6140

0.6033

0.5926

R2

0.9673

0.9545

0.9454

0.9686

0.9617

0.9519

 

 


Stability studies

Stability studies of the F-6 formulations of Nifedipine pellets were carried out to determine the effect of formulation additives on the stability of the drug and also to determine the physical stability of the formulation. The stability studies were carried out at 25șC/60% RH, 30 șC/65% RH and 40șC/75% RH for 90 days. There was no significant change in the drug content and appearance of pellets.

 

Table 34: Stability studies of formulation F-6

Sampling

Interval

% Drug loading

25 șC/60% RH

30 șC/65% RH

40 șC/75% RH

15 Days

96.802 ± 0.25

96.786 ± 0.89

96.784 ± 0.56

45 Days

96.754± 0.55

96.743 ± 0.56

96.741 ± 0.88

60 Days

96.702 ± 0.23

96.709 ± 0.25

96.690 ± 0.92

90 Days

96.690 ± 0.89

96.668 ± 0.98

96.663 ± 0.37

*Standard deviation n=3

 

SUMMARY AND CONCLUSION:

The objective of the study was to prepare Gelucire based matrix pellets loaded with Nifedipine by the process of extrusion and spheronization and Melt solidification method. Blend of Gelucire were successfully used to prepare controlled release matrix pellets. The following conclusion were drawn from the results obtained

 

1)    Good yellow coloured spherical pellets with smooth surface were obtained with a yield of 94.5% proving overall superior of this method. The pellets gave good appearance, sphericity and had a suitable density for filling in capsules.

 

2) The scanning electron micrograph clearly shows that pellets showed nearly the same surface texture i.e. pellets obtained by Extrusion spheronization were smooth with optimal and spherical shape. In contrast pellets obtained by Melt solidification method were irregular.

 

3) From the FTIR spectra, it was observed that similar characteristic peaks appear with minor differences for the drug and its formulation hence it appears that there was no chemical interaction between the drug and polymers for the pellets prepared by Extrusion spheronization and Melt solidification method.

 

4) The DSC thermogram obtained for the pure drug and for the formulation shows no significant shift in the endothermic peaks confirming the stability of the drug in the formulation for the pellets prepared by Extrusion and Melt solidification method.

 

5) From the results of flow properties of pellets it can be concluded that the prepared matrix pellets had good flow properties within the limits and had adequate mechanical strength/friability. From the results of shape analysis it can be confirmed that pellets were nearly spherical with sphericity values near to one.

 

6) From the results of drug content uniformity it can be confirmed that there was a proper and uniform distribution of drug in the pellets prepared by process of Extrusion/spheronization. The drug loading capacity also showed that the drug loading is optimum.

 

7) Particle size analysis results showed that all the process variables were within the limits and process is reproducible.

 

8) The in vitro drug release profiles for all the formulations F-1 to F-6 were not similar and only F-6 showed the release profile as per USP specifications. In case of E-1 to E-1 to E-4 release was relatively rapid i.e. within approximately 8 hours the entire drug was released.

 

9) The results of mathematical model fitting of data obtained indicate that the drug release through matrix pellets is occurring through Non fickian diffusion or by super case II transport respectively.

 

10) Formulation F-6 showed similarity release profile with OROS a marketed product when compared in dissolution studies.

 

11) The results of stability studies carried out on optimized formulation indicate that after 90 days, at25 șC/60% RH, 30 șC/65% RH and at 40 șC/75% RH there was no significant change in drug loading and appearance of pellets.

 

It can be concluded that the formulation F-6 corresponding to trial 6 of drug release studies would be an ideal formulation to prescribe for once a day administration.

 

ReferenceS:

1)       Robinson R J. Sustained and Controlled Drug Delivery, 2nd ed, New York (NY) : Marcel Dekker Inc, !978, 124-126.

2)       Goodman, Gilman. The Pharmacological basis of therapeutics, 7th  ed, New York:MacMillan,1985,Pg No. 1463-1464.

3)       J. Urquhart, Performance requirements for controlled release dosage forms: Therapeutical and Pharmacological perspectives, in: J. Urqhart (Ed), Controlled Release Pharmaceuticals, American Pharmaceutical Association, Academy of Pharmaceutical sciences, Washington, DC, 1981.

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Received on 18.04.2014       Modified on 29.05.2014

Accepted on 21.06.2014      ©A&V Publications All right reserved

Research J.  Science and Tech. 6(3): July- Sept., 2014; Page 156-172