International Journal of Drug Research and Technology

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Int. J. Drug Res. Tech. 2016, Vol. 6 (3), 141-149 ISSN 2277-1506 International Journal of Drug Research and Technology Available online at http://www.ijdrt.com Original Research Paper FORMULATION AND EVALUATION OF CONTROLLED RELEASE PELLETS OF METOPROLOL SUCCINATE BY EXTRUSION-SPHERONIZATION METHOD Kailas N. Tarkase, Sachin P. Garje* and Akash B. Bondre Department of Quality Assurance Technique, P.D.V.V.P.F s College of Pharmacy (Savitribai Phule Pune University), Vilad Ghat, Ahemadnagar-414001, Maharashtra, India ABSTRACT The objective of this study was to prepare and evaluate controlled release pellets of Metoprolol Succinate by using Extrusion-Spheronization Method. The different formulations were prepared using Eudragit L, Ethyl Cellulose as hydrophobic polymer, MCC PH 101 as a Spheronizing aid and methyl alcohol as a solvent. In vitro drug release study in ph 6.8 phosphate buffer. Stability studies were carried out for a period of 90 days at 40±2 C and 75±5% RH. The drug content was in the range of 96.09%. The mean particle size of the drug loaded pellets was in the range 96 μm to 1010.21 μm. SEM photographs and calculated sphericity factor confirmed that the prepared formulations were spherical in nature. The compatibility between drug and polymers in the drug loaded pellets was confirmed by DSC and FTIR studies. Stability studies indicated that pellets are stable. Keywords: Metoprolol succinate, Extrusion-spheronisation method, Ethyl cellulose (EC), Eudragit L, Invitro study. INTRODUCTION Oral route is the most common route of drug administration. Modern drug delivery strategies try to improve oral drug delivery. If patient self-administration cannot be achieved, the sale of drug constitutes only small fraction of what the market would be otherwise. Tablets and capsules represent unit dosage forms in which one usual dose of drug has been accurately placed. Controlled release is a term referred to the presentation or delivery of compounds in response to stimuli or time. Most commonly it refers to time dependent release in oral dose formulations. Timed release has several distinct variants such as sustained release where prolonged release is intended, pulse release, delayed release (e.g. target the different regions of the GI tract) etc. A distinction of controlled release is that not only prolongs action but it attempts to maintain drug levels within the therapeutic window to avoid potentially hazardous peaks in drug concentration following ingestion or injection and to maximize therapeutic efficiency. An ideal drug delivery system should deliver precise amounts of a drug at a preprogrammed rate to achieve a drug level necessary for treatment of the disease. Metoprolol is a beta1-selective adrenergic receptor blocking agent. Metoprolol BCS class I drug i.e. High solubility High permeability. Thus the present study purpose to formulation of Controlled release pellets containing metoprolol. MATERIAL AND METHODS Material Metoprolol Succinate was obtained as a gift sample from Wockhardt, Pharmaceutical Ltd. (Aurangabad, India), Eudragit L, Ethyl Cellulose from Evonik Pharma Ltd. (I), All other chemicals and reagents used were of AR grade. http://www.ijdrt.com 141

Method Metoprolol Succinate controlled release pellets were prepared by Extrusion-spheronization method with Eudragit L and Ethyl Cellulose as controlled release polymer. UV-Visible Spectroscopic Scanning- Spectral Analysis Determination of UV Spectrum in Phosphate Buffer ph 6.8 The stock solution of Metoprolol Succinate (100µg/ml) was prepared by dissolving it in phosphate buffer ph 6.8. A dilution of 20 µg/ml was kept in cuvette of path length 10 mm. The UV spectrum was recorded using double beam UV-VIS spectrophotometer in the wavelength range 200 nm 400 nm. Calibration curve of the drug Preparation of Standard Curve in Phosphate Buffer ph 6.8 A stock solution of Metoprolol Succinate (100 µg/ml) was prepared by dissolving 10 mg of drug in phosphate buffer ph 6.8 and final volume was made to 100 ml. The solutions in concentration range of 5-30 µg/ml were prepared by appropriate dilutions of stock solution. The UV absorbance of these solutions was determined spectrophotometrically at λ max 222 nm. Formulation of Pellets Drug Loaded Pellets were prepared by weighing required quantity of Metoprolol Succinate, MCC, Eudragit L, Ethyl Cellulose in methanol. The wet mass was immediately passed through extruder with 1mm sieve. Extrudate so obtained were spheronized in Spheronizer having cross line plate of size 4.2 mm. Table 1: Formula as per experimental plan for controlled release polymer Ingredients F1 F2 F3 F4 F5 F6 F7 F8 F9 Metoprolol Succinate 50 50 50 50 50 50 50 50 50 Eudragit L 4 4 4 6 6 6 8 8 8 Ethyl cellulose 4 5 6 4 5 6 4 5 6 MCC 42 41 40 40 39 38 38 37 36 Methanol qs. qs. qs. qs. qs. qs. qs. qs. qs. * All values are in % Evaluation of Pellets The pellets evaluated for in process quality control test- Flow properties of pellets Determination of Bulk Density and Tapped Density An accurately weighed quantity of the granules/powder (W) was carefully poured into the graduated cylinder and volume (V0) measured. Then the graduated cylinder was closed with lid and set into the tap density tester (USP). The density apparatus set for 100 tabs and after that the volume (Vf) measured and continued operation till the two consecutive readings were equal. The bulk density and the tapped density calculated using the following formulae- Bulk density = W/V0 Tapped density = W/Vf Where, W= Weight of the powder V0 = Initial volume Vf = final volume Compressibility Index (Carr s Index) Carr s index (CI) is an important measure that can be obtained from the bulk and tapped densities. In theory, the less compressible a material the more flowable it is. CI = (TD-BD) x 100/TD http://www.ijdrt.com 142

Hausner s Ratio It is the ratio of tapped density and bulk density. Generally a value less than 1.25 indicates good flow properties, which is equivalent to 20% of Carr s index. Drug Content Accurately weighed 28 mg of pellets (equivalent to 10 mg. of drug) were crushed in dried mortar pestle. Powder of pellets was dissolved in 100 ml with phosphate buffer ph 6.8. Sample was stirred for 15 min and filtered. Dilutions of solution were prepared and Analyzed by UV-spectrophotometer at 222 nm. Morphological Characteristic of All Batches All the factorial batches were studied for morphological features like roundness, aspect Ratio, pellet size, and shape by using photomicrograph. Friability Accurately weighed quantity of pellets (3 gm) taken from final batch of pellets and placed in friabilator and tumbled for 100 revolutions at 25 rpm. After friability testing, the pellets were sieved through sieve no. 20. The weight loss (%) was calculated as: % F = (Wi-Wr/Wi) 100 Wi is initial weight of pellets before friability testing, Wr is the weight of pellets retained above the sieve after friability testing. Scanning Electron Microscopy Scanning electron microscopy (SEM) is the technique of choice for measuring the shape and surface morphology of pellets. Drug Excipients Interaction Study Fourier Transform Infrared Spectroscopy (FT-IR) It was determined by FT-IR (PRESTIGE-21, Shimadzu). The base line correction was done with blank background measurement. Then the spectrum of dried drug was run. FT-IR spectra were recorded in the wavelength region of 4000 to 500 cm -1. Differential Scanning Calorimetry (DSC) The 3.41 mg of sample was weighed and sealed in aluminum pan. Empty aluminum pan was used as a reference. DSC thermogram was recorded. In-Vitro Drug Release Studies The in vitro release of the drug from pellets of all formulation batches were performed using USP apparatus Type I (Basket). The dissolution medium consisted of 900 ml of phosphate buffer ph 6.8. Dissolution was performed at 37±0.5 C, with stirring speed of 50 rpm. 5 ml of aliquot was withdrawn at time intervals of 1, 2, 4, 6, 8, 10, 12 Hrs. The medium was replenished with same amount of fresh dissolution media each time. The filtered samples were analyzed by UV-VIS spectrophotometer at 222 nm and absorbance s were recorded. Kinetics of Drug Release The dissolution profile of all the formulations were fitted to zero order kinetics, first order kinetics, Higuchi, Hixson-Crowell, Korsmeyer and Peppas to ascertain the kinetic modeling of drug release by using a PCP Disso Version 2.08 software, and the model with the higher correlation coefficient was considered to be the best model. http://www.ijdrt.com 143

RESULT AND DISCUSSION UV-Visible Spectroscopic Scanning- Spectral Analysis Figure 1: Wavelength maxima of metoprolol succinate in phosphate buffer ph 6.8 (Conc. 20 ppm)- 222 nm Table 2: Standard calibration curve data for metoprolol succinate in phosphate buffer ph 6.8 Conc. (ppm) Abs. at (222nm) 0 0.0000 5 0.2206 10 0.4167 15 0.6335 20 0.8505 25 1.0646 Figure 2: Calibration curve of metoprolol succinate in phosphate buffer ph 6.8 (Linearity of Metoprolol Succinate). Drug-Polymer Interaction Study FT-IR The drug was found compatible with polymer. http://www.ijdrt.com 144

Figure 3: FTIR Spectra of API metoprolol succinate Figure 4: FTIR Spectra of API metoprolol succinate with excipient s Differential Scanning Colorimetry (DSC) The Thermogram of Metoprolol Succinate showed an endothermic peak at 138.70 0 C. with an onset at 137.60 0 C. Figure 5: DSC thermogram metoprolol succinate http://www.ijdrt.com 145

Figure 6: DSC thermogram of metoprolol succinate with excipients Evaluation of Flow Properties of 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 Hausner s ratio indicate excellent flow properties of pellets. All the factorial batches were evaluated for flow property. Table 3: Evaluation Parameter of Pellets Batch Angle of repose (θ) Bulk density Tapped density Carr s index (gm/cm 3 ) (gm/cm 3 ) (%) Hausner s ratio F1 23.56 0.8782 0.92 4.54 1.04 F2 24.01 0.7745 0.83 6.68 1.07 F3 23.29 0.7406 0.79 6.25 1.07 F4 23.02 0.7515 0.80 6.06 1.06 F5 24.25 0.7942 0.85 6.56 1.07 F6 24.05 0.7435 0.85 12.52 1.14 F7 23.56 0.6845 0.75 8.73 1.09 F8 24.0 0.7423 0.7880 5.64 1.0598 F9 24.61 0.7845 0.84 6.61 1.07 Morphological Characteristics of All Batches Aspect ratio nearer to 1 which shows roundness nearer to 100% shows spherical pellets. Table 4: Morphological Characteristics of Pellets Batch F1 F2 F3 F4 F5 F6 F7 F8 F9 Shape Dumbbell + Ellipsoid Oval + Oval + Oval + Aspect Ratio 1.05 1.4 1.05 1.76 1.11 1.05 1.75 1.77 1.80 http://www.ijdrt.com 146

Friability The friability of the pellets tested was below 0.1%, and thus the pellets have desirable hardness and of good quality with respect to friability. The preliminary aim to produce mechanically strong pellets was thereby achieved. Drug Content The drug loaded pellets of Metoprolol Succinate prepared. Drug content of all batches are as shown in Table. All values expressed as mean. Table 5: Friability and Content Uniformity (%) Batch F1 F2 F3 F4 F5 F6 F7 F8 F9 (%) Friability 0.13 0.12 0.1 0.15 0.13 0.14 0.16 0.15 0.14 Drug Content 95.22 102.63 99.85 97.07 98.2 98.21 95.07 98.52 98.29 Scanning Electron Microscopy (SEM) Surface of pellets as shown in SEM photograph was smooth and spherocity was also good and size of pellets was found to be 960 μm to 1010.21 μm and ratio of length to width (Aspect ratio) is 1.041 which indicate pellets are spherical in shape. Figure 7: SEM analysis of F3 batch In-Vitro Drug Release Studies These drug release controlled due to Eudragit L & Ethyl Cellulose as it is hydrophobic. In-vitro drug release study of all formulation batches (F1to F9) were performed in triplicate using USP apparatus Type-I (Basket). % Cumulative drug release from batch (F1-F9) Figure 8: In-vitro % Drug release of all Factorial batches http://www.ijdrt.com 147

Kinetics of Drug Release In-Vitro Release Kinetics and Mechanism The 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. To know the release mechanism and kinetics of formulations (F3) were attempted to fit into mathematical models. R 2 were taken as criteria for selecting the most appropriate model. The Korsmeyer-Peppas kinetic model was best fit for formulation (F3) (R 2 = 0.9739); represented in Table 6. Figure 9: In-vitro Release Kinetics Table 6: Drug Release Kinetics Zero order 1 st Order Matrix Korsmeyer-Peppas HIx. Crow 0.4032 0.9570 0.9336 0.9739 Best Fit Model 0.9034 Stability Study The selected formulations were packed in their final (amber coloured glass) containers and are tightly closed with the cap. They were stored at the stated conditions for three months. Samples were analyzed after 0, 30, 60 and 90 days and they were evaluated. Table 7: Stability studies Parameters 1 Month 2 Month 3 Month Colour No changes No changes No changes Changes in appearances Clarity No changes No changes No changes Surface texture No changes No changes No changes Drug content (%) 99.67 99.67 99.67 CONCLUSION The objective of the study was to prepare and evaluate metoprolol loaded pellets by extrusion/spheronization for controlled release. It was observed that Eudragit L enhanced the release of metoprolol from drug loaded pellets whereas ethyl cellulose retarded the same. In order to obtain a controlled delivery, a combination of these polymers in different concentration was tried. It was concluded that a combination of Eudragit L and ethyl cellulose in 4% w/v and 6% w/v respectively showed controlled release (98.05 % in 12 hr). http://www.ijdrt.com 148

ACKNOWLEDGEMENTS The authors are thankful to Wockhardt, Pharmaceutical Ltd. for providing drug Sample and all The suppliers for gift samples and also sincere thanks to Prof, K N Tarkase Sir and Prof. Sandeep Hapse Sir for their grand support in project. REFERENCES 1. Sweetman, CS (2010), Martindale, The Complete Drug Reference,33 rd Ed., Pharmaceutical press, London, 315-316,322-332, 334-335. 2. Lachman, L; Lieberman, HA and Kanig, J (1976), The Theory and Practice of Industrial Pharmacy, 2 nd Ed., Varghese Publishing House, Mumbai, 293. 3. Chein, YW (1992), Novel Drug Delivery Systems, 2 nd Ed., Vol.-II, Marcel Dekker Inc, New York, 2695. 4. www.drugbank.com/metoprolol-succinate. 5. KD,Tripthi (2010), Essential of Medical Pharmacology, 6 th Edition, Jaypee Brothers, 136-141 6. M, Srujan Kumar at al.(2012), Formulation and Evaluation of Multiunit Pellet System of Venlafaxine Hydrochloride, Journal of Pharmaceutical and Biomedical Sciences, Vol. 18, Issue 1,1-12. 7. DM, Mathure et al.(2011), Formulation and statistical optimization of controlled release pellets of cetrizine dihydrochloride, V-3(3), 443-452. 8. Bramankar, DM and Jaiswal, SB (1995), Biopharmaceutics and Pharmacokinetics A Treatise, 1 Ed., Vallabh prakashan, Delhi, 335,337. 9. Vyas, SP and Khar, RK (2002), Controlled Drug Delivery: Concepts And Advances, 1 Ed., Vallabh Prakashan, New Delhi, 15. 10. Vervaet and Lakshmi, PK (2010), Extrusion Spheronization-A Review, International Journal of Pharmtech Research,2429-2433. 11. (2007), Indian Pharmacopoeia, Indian Pharmacopoeial Commission, Ministery of Health and Science Welfare, Government of India, Ghaziabad, 678-679. 12. ICH Guidelines Q1A (R2), Guidance for Industry: Stability Testing of New Drug Substance and Products, Http:// Http://Www.Ich.Org. 13. Pavia, Lampman and Kriz, X Vyan (2007), Spectroscopy, Indian Edition, 114-101. 14. GR, Chatwal and SK, Anand (2012), Instrumental Method of Chemical Analysis, Himalaya Publishing House, 9.15-9.40. 15. US, Pharmacopoeia (USP/NF)(2008), The Official Compendia of Standards, Asian Edition, Vol.-I 813 Correspondence Author: Sachin P. Garje* Department of Quality Assurance Technique, P.D.V.V.P.F s College of Pharmacy (Savitribai Phule Pune University), Vilad Ghat, Ahemadnagar-414001, Maharashtra, India Cite This Article: Kailas, N Tarkase; Sachin, P Garje and Akash, B Bondre (2016), Formulation and evaluation of controlled release pellets of metoprolol succinate by extrusion-spheronization method, International Journal of Drug Research and Technology, Vol. 6 (3), 141-149. http://www.ijdrt.com 149