Journal of Innovations in Pharmaceuticals and Biological Sciences

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Journal of Innovations in Pharmaceuticals and Biological Sciences www.jipbs.com JIPBS e-iss: 2349-2759 p-iss: 2395-1095 Research article HPTLC method for simultaneous estimation of Metformin HCl and Sitagliptin in pharmaceutical dosage form ManjushaK.., W.D. Sam Solomon*, R. Venkatanarayanan Department of Pharmaceutical analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore- 641402. Tamilnadu, India. Abstract An accurate, precise and derivatized HPTLC method has been developed for the simultaneous estimation of Metformin and Sitagliptin in tablet formulation. In this method standard and sample solutions of Metformin and Sitagliptin were applied on pre-coated silica gel 60254 TLC plate, and developed using Ammonium sulphate (0.5%)-2-Propanol- Methanol (8:1.6 :1.6v/v ), as mobile phase[1] and derivatized using CAMAG-REPROSTAR-3. A camag HPTLC system comprising of Camag Linomat-5-applicator, camag twin trough chamber, camag reprostar-3, camag TLC -3- scanner was used for the analysis. The drugs on the plate were scanned at 254 nm. The dynamic linearity range was 700-1500 for Sitagliptin and 7-15μg/spot for Metformin. The method was validated for precision, accuracy and reproducibility. Key words: Simultaneous estimation, HPTLC, Metformin and Sitagliptin. *Corresponding Author: W.D. Sam Solomon, Department of Pharmaceutical analysis, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore- 641 402. Tamilnadu, India. 1. Introduction Sitagliptin [SGT] (figure 1) is an oral dipeptidyl peptidase-4 (DPP-4) inhibitor, which improves glycaemic control by inhibiting DPP-4 inactivation of the incretin hormones glucagon-like peptide- 1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP). This increases active incretin and insulin levels and decreases glucagon levels and postglucose-load glucose excursion [2]. Metformin [MET] (Metformin HCl,,dimethylimidodicarbonimidic diamide hydrochloride), is an oral antidiabetic drug [3] (figure 2). Literature survey revealed that various analytical methods like spectrophotometric [4], HPLC [5,6], LC-MS [7,8] and UPLC [9] methods, have been reported for the determination of Metformin and Sitagliptin, individually and combination with some other drugs. A very few HPTLC methods for simultaneous estimation of Metformin and Sitagliptin in combined dosage forms has so far been reported. The review of literature prompted us to develop an accurate, precise and derivatized simultaneous method for the estimation of JIPBS, All rights reserved

Sitagliptin and Metformin in combined dosage forms. H 3 C H 2 igure 1. Sitagliptin H H H O CH 3 igure 2. Metformin 2. Materials and Methods H 2 Chemicals and Equipment JAUMET Tablet used for the formulation analysis contains Metformin (500 mg) and Sitagliptin (50 mg) and it is manufactured and marketed by MSD Pharmaceuticals Pvt. Ltd, Maharashtra. Pure samples were procured from, Metformin Orchid Pharmaceuticals, Chennai and Sitagliptin Micro Labs, Bangalore. All the chemicals and reagents used were of analytical grade. A Camag HPTLC system comprising of Camag Linomat-5-applicator, Hamilton syringe, Camag twin trough chamber, Camag TLC scanner, and stationary phase pre coated with Silica gel 60254 were used. Preparation of Standard Solutions The given standard Sitagliptin 1 mg was dissolved in 1 ml Methanol, this solution used as working standard solution (1µg/1µl) for the analysis. The given standard Metformin 1 mg was dissolved in 1 ml Methanol, this solution used as working standard solution (1µg/1µl) for the analysis. Standard solutions having concentration ranging from 700-1500 for Sitagliptin and 7-15μg/spot for Metformin were applied on TLC plates. Analysis of Tablet ormulation The given Janumet 14 tablets were powdered using Pestle & Mortar to fine powder. rom this, powder 2 mg was weighed in an Electronic balance (Afcoset) and dissolved in 1 ml of Methanol, centrifuged and the supernatant liquid was taken for the HPTLC studies. This solution contains 1.41 µg of Sitagliptin and 14.1 µg of Metformin drug sample as test solution per µl. rom this 1µl of Sample solution was applied on the pre-coated silica gel 60254 plate and from the peak area obtained, the amount of Sitagliptin and Metformin in formulation was simultaneously calculated using the respective calibration graph. Development of Chromatograms The TLC plates were pre washed with methanol and activated by keeping at 115 for about 30 min. The samples were spotted in the form of bands of width 4 mm with 100 μl Hamilton syringe on the pre-coated silica gel 60254 plate (12 10cm) and the slit dimension was kept at 15 min respectively. The mobile phase Ammonium sulphate (0.5%)-2-Propanol-Methanol (8 : 1.6 : 1.6 v/v) used was in chamber and the plate saturation time was 15 min, migration distance was allowed up to 90 mm, linear ascending development was carried out in (20 10cm) twin trough glass chamber. Subsequent to the development, TLC plates were dried in current of air and kept in photo documentation chamber. The images of developed plate were captured at white light, UV 254 nm and UV 366 nm using Camag - Reprostar - 3 instrument. The developed plate was derivatized with iodine 70

vapor and the images were done in white light using Camag - Reprostar -3 instrument. The derivatized plate was scanned at 254 nm using Camag-TLC-scanner-3 instrument. Validation Parameters The method was validated in accordance with WHO guidelines 1 ⁰ for linearity, accuracy, limit of detection, limit of quantification, inter-day and intra-day assay precision, repeatability of measurement and repeatability of sample application. Samples applied on the plate were developed with the mobile phase and the peak areas were noted. The mobile phase, Ammonium sulphate (0.5%)-2-Propanol-Methanol (8: 1.6:1.6v/v) gave Rf value of 0.35 ± 0.02 for Sitagliptin and 0.63 ± 0.04 for Metformin. ity and Regression A good linear relationship was obtained over the concentration range700-1500 for Sitagliptin and 7-15μg/spot for Metformin respectively. The linear regression data showed a regression coefficient of 0.999 for Sitagliptin and 0.999 for Metformin. LOD and LOQ The LOD with signal/ noise ratio were found to be 25 ng and 500 for Sitagliptin and Metformin respectively. The LOQ with signal/ noise ratio was found to be 900 ng and 1500 ng /spot for Sitagliptin and Metformin respectively. Precision Intra-day assay precision was found by analysis of standard drug at three times on the same day. Inter-day assay precision was carried out using at three different days, and percentage relative standard deviation (%RSD) was calculated. The RSD was found to be less than 2 for both intra-day and inter-day precision. Repeatability of sample application was assessed by spotting 1 μl of drug solution, six times. rom the peak areas, the percentage RSD was determined. The complete validation parameters are shown in Table 1. Table 1. Validation Parameters S. o. Sitagliptin Metformin Rf 0.35 0.63 LOD 25 500 LOQ 900 1500 Recovery 99.5% 97.7% Repeatability 1.4 1.02 (%RSD) ity 700-1500 ng 7-15µg range Regression coefficient 0.999 0.999 R f - resolution factor, RSD- relative standard deviation, LOD limit of detection, LOQ limit of quantification Recovery Studies The recovery study was carried out at two levels, 50%, 100 %. To the powdered formulation, the standard drugs of Sitagliptin and Metformin were added at 50 % and 100 % levels, dilutions were made and analyzed by the method. The % recovery and % RSD were calculated and found to be within the limit, as listed in Table 2. Table 2. Result f Analysis f ormulation ormulation Label Claim Amount Obtained (mg) * % Assay Standard Deviation % RSD * MET STG MET STG MET STG MET STG MET STG Janumet 500 50 495.8 48.6 99.16 97.8 0.4743 0.8456 0.095 1.73 *An average value ± relative standard deviation of 5 observations. 71

3. Result and Discussion During the stage of method development different mobile phases were tried and the mobile phase comprising of Ammonium sulphate (0.5%)-2-Propanol-Methanol (8:1. 6:1.6v/v) was confirmed. The Rf value was found to be 0.35 & 0.63 for Sitagliptin and Metformin respectively. ity of the drug was determined by the calibration curves and the linearity based on the peak area was in the range of 700-1500 ng & 7-15µg respectively (table 1). The regression coefficient value for Sitagliptin and Metformin are 0.999 (figure 3) and 0.999 (figure 4) respectively. The limit of quantification was determined by injecting minimum concentration of the drugs. The limit of quantification was found as 1000, & 50. The recovery was 99.5%, and 97.7% for sitagliptin and metformin (table 1) and the repeatability showed excellent % RSD less than 1.4 (table 2, table 3). The method passes all the validation parameter limits and proves to be selective, sensitive and precise. Hence the proposed method can be used for the routine assay of Metformin and Sitagliptin using HPTLC. Level Table 3. Recovery Data Amount Amount % Recovery * % RSD * added Obtained (mg) (mg) * MET SIT MET SIT MET SIT MET SIT 50% 250 25 252.42 25.5 100.96 102 0.94 1.03 100% 500 50 505 51.6 101 103.2 1.02 1.33 *An average value ± relative standard deviation of 5 observations. Table 4. Peak Table Track Peak Rf Area Assigned substance S1 1 0.35 480.6 Sitagliptin standard S2 1 0.35 658.8 Sitagliptin standard S3 1 0.35 879.6 Sitagliptin standard S4 1 0.35 1087.8 Sitagliptin standard S5 1 0.35 1300.4 Sitagliptin standard 1 0.63 4074.9 Metformin 2 0.35 1170.5 Sitagliptin M1 1 0.63 2351.9 Metformin standard M2 1 0.63 2889.7 Metformin standard M3 1 0.63 3445.9 Metformin standard M4 1 0.63 3505.9 Metformin standard M5 1 0.63 4435.3 Metformin standard 72

1400 1200 1000 800 AU600 400 200 0 Substance :Sitagliptin @254 nm Regression mode y = 206.8x + 260.8 R² = 0.999 Series1 (Series1) 0 2 ng 4 6 igure 3. ity graph Sitagliptin Based on Area 5000 4000 3000 AU 2000 1000 0 Substance: Metformin@254 nm Regression mode y = 518.3x + 1850. R² = 0.999 Series1 (Series1) 0 2 Microgram 4 6 igure 4. ity Graph Metformin Based on Area igure 5. Chromatogram of Metformin HCl and Stagliptin Phosphate. Chromatogram showing resolution of Metformin (R f = 0.63), Stagliptin (R f = 0.35). Conclusion Hence, the developed HPTLC method is precise, specific and accurate; the statistical analysis proved that the method is repeatable and selective for the simultaneous analysis of Metformin and Sitagliptin in bulk drugs and in pharmaceutical dosage forms without any interference from the excipients. Acknowledgements The authors are grateful to the Management, RVS College of Pharmaceutical Sciences, Sulur, Coimbatore, and Dalmiah Research Centre, Coimbatore, for providing the required facilities References 1. Shweta Havele, Sunil Dhaneshwar: Estimation of Metformin Hydrochloride in Bulk Drug and ormulation by HPTLC Journal of anomedicine & anotechnology- Open Access 2011; 1:100-102. 2. URL:http://en.wikipedia.org/wiki/sitaglip tin.svs 3. Khan G,Dinesh, Sahu Agrawal YP, eetu S, Avnish J and Gupta AK: Simultaneous estimation of metformin and sitagliptin in tablet dosage form. Asian Journal of Biochemical Pharmaceutical Research 2011; 1(2):352-358. 4. Amruta B. Loni, Minal R. Ghante, S. D. Sawant: Simultaneous UV Spectrophotometric Method for Estimation of Sitagliptin phosphate and Metformin hydrochloride in Bulk and Tablet Dosage orm. Der Pharma Chemica, 2012; 4(3): 854-859. 5. Shyamala M, Mohideen S, Satyanarayana T, arasimha RajuCh, Suresh Kumar P and Swetha K: Validated RP-HPLC for simultaneous estimation of sitagliptin phosphateand metformin hydrochloride intablet dosage form. American Jounal of Pharm Tech Research 2011; 1(2):93-101. 73

6. MousumiKar, PK Choudhury: HPLC method for estimation of metformin hydrochloride in formulated microspheres and tablet dosage form. Indian J.Pharm Sci 2009; 71: 318-320. 7. Cristina georgiţă, Iulia sora, lorin albu, Crina maria monciu: Comparison of a LC/MS method with a LC/UV method for the determination of metformin in plasma samples. ARMACIA 2010; 58(2):158-161. 8. Koseki, Kawashita H, iina M, agae Y, Masuda : Development and validation for high selective quantitative determination of metformin in human plasma by cation exchanging with normal-phase LC/MS/MS. J Pharm Biomed Anal 2005; 36:1063-1072. 9. Malleswararao Chellu S.., Mulukutla V. Suryanarayana, Khagga mukkanti: Simultaneous Determination of Sitagliptin Phosphate Monohydrate and Metformin Hydrochloride in Tablets by a Validated UPLC Method. Sci Pharm. 2012; 80:139 152. 10. WHO Model List of Essential Medicines" (PD). World Health Organization, March 2005, Retrieved 2006-03-12. 74