Simple and Rapid Simultaneous RP-HPLC Method for Determination of Glimepiride and Metformin in Tablet Dosage Form

 

S. M. Sandhya1*, Shiji Kumar P.S.2

1Department of Pharmaceutical Analysis, Sree Krishna College of Pharmacy & Research Centre, Parassala P.O,  Thiruvananthapuram - 695502, Kerala, India.

2Department of Pharmaceutical Analysis, Jamia Salafiya Pharmacy College,  Pulikkal P.O, Malappuram - 673637, Kerala, India

*Corresponding Author E-mail: sandhyashiji82@gmail.com

 

ABSTRACT:

A simple, precise, rapid and reproducible reversed phase high performance liquid chromatography method is developed for the simultaneous estimation of glimepiride and metformin present in multicomponent dosage forms. Chromatography is carried out binary system on phenomenex C18 column (250 × 4.6 mm, 5 µm) with a mobile phase consisted of acetonitrile: acetate buffer (pH 4) in the ratio of 65:35, v/v at a flow rate of 1.0 ml/min. Detection is carried out using UV-PDA detector at 245 nm. The Rt for glimepiride and metformin are 5.709 ± 0.02 and 2.517 ± 0.05 minute respectively.  The LOQ of glimepiride and metformin 0.038 and 0.221 µg/ml respectively. The RSD for three replicate measurements in three concentrations of samples in tablet are always less than 2%.

 

KEYWORDS: Glimepiride, Metformin, Tablet dosage form, RP-HPLC.


 

INTRODUCTION:

Diabetes is not a single disease but rather is a group of metabolic disease characterized by hyperglycemia caused by inadequate insulin secretion with or without a simultaneous decrease in hormone action at its receptor1. Combination therapy has been shown to achieve greater blood glucose, lowering than monotherapy, because different classes have different and complimentary mechanism of action. The rapid introduction of combination therapy with two or three complementary oral antidiabetics helps in targeting the dual effect and also reduced adverse effect2. Glimepiride is chemically 3-Ethyl-4-methyl-N-(4-[N-((1r, 4r)-4-methylcyclohexyl carbomyl) sulfamoyl] phenethyl)-2-oxo-2, 5-dihydro-1H Pyrrole-1-carboxamide, and it is an oral blood-glucose-lowering drug of the sulfonylurea class3. It lowers blood glucose by stimulating the release of insulin from pancreatic beta cells. Metformin chemically N, N-Dimethyl biguanide, acts by decreasing intestinal absorption of glucose reducing hepatic glucose production and increasing sensitivity4. The combination of sulfonyl urea with MET is largely used because both the drugs are ancient and large number of studies have demonstrated their synergistic effects.

 

Literature survey reveals that a few RP-HPLC methods are reported for the simultaneous estimation of GLI and   MET5-7. The main objective of this work was to develop a simple, rapid and sensitive RP-HPLC method for the simultaneous determination of GLI and MET and the method are validated as per ICH guidelines.

a

Figure 1.Chemical structures of (a) Metformin and (b) Glimepiride

EXPERIMENTAL:

Chemicals and Materials:

Metformin and glimepiride were obtained as gift sample from Micro Labs Ltd., Bangalore, India.  HPLC grade acetonitrile, acetic acid and water were purchased from M/s. Merck Chemicals, Mumbai, India. Tablet formulation Gemer 2 (Sun Pharma, Sikkim, India, labeled to contain 500mg metformin and 2mg glimepiride) was procured from a local pharmacy.

 

Instrumentation and chromatographic conditions:

The HPLC system consisted of a Shimadzu LC-20AD pump, a Rheodyne 7725 sample injector with 20µl loop and a shimadzu SPD-20A diode array detector. The acquisition was performed by processing software “LC- solution” (Shimadzu Corp.)  The method was developed on a phenomenex C18 (250 ×4.6 mm, 5 µm) column maintained at ambient temperature. The mobile phase consists of acetonitrile and acetate buffer (pH 4) in the ratio 65:35 v/v delivered at a flow rate of 1.0 ml/minute.  The injection volume was 20 µl and detection was carried out at a wavelength of 245 nm.

 

Preparation of standard solution and calibration curves:

Standard stock solutions of metformin and glimepiride were prepared separately by dissolving 50 mg of GLI and MET in 25 ml acetonitrile in 50 ml standard flasks. The resultant solutions were sonicated for 5 minutes and volume was made up to 50 ml with acetonitrile. From this 5 ml was transferred into 50 ml volumetric flask and made up to volume to get 100 μg/ml each of GLI and MET. Mixed standards containing 0.1 - 0.6 μg/ml of GLI and 25 - 125 μg/ml of MET were prepared by transferring appropriate aliquots from the above solutions and 20 μl of each concentration of the drug were injected in to HPLC system in triplicate and their chromatograms were recorded. Peak areas were recorded and standard calibration curve of area against concentration was plotted both for GLI and MET.

 

Preparation of sample stock solution:

Ten tablets of sample (Gemer 2) were accurately weighed. Their average weight was calculated, pulverized to fine powder. An amount equivalent to 500mg MET was accurately weighed and transferred to suitable 100 ml volumetric flask add 20ml of acetonitrile and the resultant solution was sonicated for 15 minutes.  The volume was adjusted with acetonitrile and filtered through 0.45 µm nylon filters (Millipore, Milford, USA). From the above solution 100 µg/ml solution was prepared by using acetonitrile. From this solution 20 µl is injected into HPLC system and chromatogram were recorded.

 

RESULT AND DISCUSSION:

Method Validation:

Chromatography:

The non-polar nature of GLI necessitated the selection of C18 reverse phase column.  Initially reversed phase LC separation was tried using methanol: PO4 buffer (pH 4, mixed) in the ratio of 70:30 was tried. Metformin was not eluted in this system.  Then methanol: acetate buffer (pH 4) in the ratio 65:35 was tried and peak splitting was observed with MET.  From the literature survey we concluded that acetonitrile is essential.  By performing acetonitrile and different system we confirmed acetonitrile and acetate buffer (pH4) was optimized.  Resolution, theoretical plate, symmetry of peaks and retention time were found to be satisfactory in this mobile phase composition.  The retention time for GLI was found to be5.709±0.02 and MET 2.517±0.05 respectively (Fig 3).

 

System suitability:

System suitability parameters such as number of theoretical plates, retention time, tailing factor and resolution are determined.  The results obtained are shown in Table1.  The number of theoretical plates for GLI and MET were 9762 and 10521 respectively.

 

Figure 2: Typical chromatogram of standard (a) MET  (Rt 2.517) and (b) GLI (Rt 5.709)

 

Table 1: Results of system suitability testing

Drug

Retention time (min)

Area

Tailing factor (T)

Theoretical plates (N)

Resolution (R)

GLI

5.709 ± 0.02

6617.34

0.21

9762

4.151

MET

2.517 ± 0.05

524806.78

0.19

10521

 

Figure 3: Sample chromatogram of (a) MET and (b) GLI

 

Linearity:

GLI and MET showed a linearity of response between 0.1-0.6µg/ml and 25-150µg/ml respectively.  The peak area versus concentration data was performed by least square linear regression analysis whereby slope, intercept and correlation coefficient determined.

 

Table 2: Linearity parameters for calibration curve:

Parameter

GLI

MET

Retention time (Rt)

5.709  ±  0.02

2.517  ±  0.05

Linearity range (µg/mL)

1 - 10

2 – 20

Regression equation (y = mx+c)

y = 67246x - 179.3

y = 18015x + 55882

Correlation coefficient (r)

0.999

0.998

Limit of detection (µg/ml)

0.012

0.0125

Limit of quantification (µg/ml)

0.038

0.2211

Standard deviation of slope (Sa)

1.214

1.197

Standard deviation of intercept (Sb)

0.9811

1.026

Regression coefficient (r2)

0.999

0.998

Method precision (%RSD)

1.65

1.74

Sensitivity:

The LOD was determined based on standard deviation (SD) of response and slope (S) and it can be expressed as LOD=3.3 SD/S. The LOQ was determined as the lowest amount of analyte that was reproducibility quantified and expressed as LOQ=10 SD/ S and the results are reported in Table2.

 

Accuracy and Precision:

Accuracy and precision of the assay were determined using replicate analysis of quality control samples at three concentrations, by performing the complete analytical runs on the same day and also on three consecutive days.  The data obtained for both GLI and MET were within the acceptable limits to meet the ICH guidelines.  The results are depicted in Table 3 and 4 and Fig 4.

 

Robustness:

Robustness was determined by deliberately varying certain parameters like flow rate, pH of mobile phase, column temperature and change in detector wave length.  For all changes in conditions that samples were analyzed in triplicate.  The retention factor and resolution between GLI and MET were evaluated in each condition.  Results of analysis are summarized in Table 5.

 

Application to solid dosage form:

The proposed method can be used for estimation of both drugs in solid dosage forms.  The results are depicted in Table 6(a) and (b) indicate that each drug in tablet corresponds to requirement of label claim.  The low %RSD value (<2%) confirmed the suitability of method for routine analysis of GLI and MET in pharmaceutical dosage forms.

 

Table 3: Accuracy of the proposed method

Drug

Level (%)

Theoretical concentration (µg/ml)

Observed concentration (µg/ml) ± SD*

Mean recovery (%)

SEM

% RSD

 

GLI

50

0.15

0.149 ± 0.001

99.33

0.00058

0.671

100

0.6

0.595 ± 0.0081

99.16

0.0047

1.361

150

1.5

1.51 ± 0.0193

100.6

0.112

1.29

 

MET

50

37.5

37.61 ± 0.04

100.29

0.023

0.106

100

150

149.83± 0.109

99.89

0.063

0.072

150

375

376.01± 0.112

100.27

0.065

0.029

Mean of three replicates

 

Table 4: Precision study of the proposed method

Drug

Precision

Initial amount (µg/ml)

Amount found (µg/ml) ± SD*

%Recovery

%RSD

 

 

 

GLI

 

Intraday

0.1

0.998±0.01

99.80

1.002

0.4

0.401±0.005

100.25

1.246

0.6

0.596±0.0059

99.33

0.989

Interday

0.1

0.101±0.001

101.0

0.990

0.4

0.394±0.003

98.50

0.076

0.6

0.602±0.005

100.33

0.831

 

 

 

MET

 

Intraday

25

24.92±0.251

99.68

1.007

75

75.01±0.329

100.01

0.439

150

149.18±0.504

99.45

0.339

Interday

25

25.01±0.211

100.04

0.844

75

74.89±0.289

99.85

0.386

150

149.56±0.651

99.71

0.435

*Mean of three replicates

Table 5: Results of robustness study

Parameter

 

 

Rt

 

 

Resolution

 

%RSD

 

 

 

 

 

 

GLI

MET

GLI

MET

Change in pH of mobile phase

pH 3.6

5.69

2.52

4.752

0.413

0.672

pH 3.8

5.72

2.51

4.751

0.356

0.880

pH 4.2

5.70

2.51

4.752

0.948

0.874

 

Change in temperature

 

20º C

5.68

2.52

4.754

0.856

0.988

25º C

5.70

2.52

4.752

1.009

0.981

30º C

5.70

2.53

4.751

0.888

0.775

 

Change in flow rate

0.8 ml/min

 

 

5.73

 

2.54

 

4.752

 

1.213

 

0.985

 

1.2 ml/min

5.70

2.50

4.751

1.031

1.061

 

Change in wavelength

243nm

 

5.69

2.50

 

4.753

0.424

0.944

247nm

5.69

2.50

4.753

0.506

0.671

 

Table 6 (a): Data for assay of GLI and MET

Drugs

Area of Standard

Wt. of tablet (gm)

Area of sample

Content of tablet powder (gm)

Av. content (gm)

 

 

GLI

 

 

6658.56

1.160

6638.34

0.0019

 

 

0.0019

1.161

6692.94

0.0018

1.160

6700.38

0.00199

1.160

6618.61

0.0019

1.160

6667.17

0.0019

 

 

MET

 

 

524200.81

1.161

524100.07

0.4832

 

 

 

0.4834

1.160

524090.11

0.4833

1.161

524450.09

0.4837

1.162

524125.01

0.4833

1.160

524119.98

0.4833

 

Table 6 (b): Results from HPLC quantification of GLI and MET in tablets

Sample

Label claim (mg)

Amount present (mg)

SD*

%RSD

GLI

MET

GLI

MET

GLI

MET

GLI

MET

 

Gemer*2

2.0

500

0.0019

0.4834

0.00002

0.004

1.053

0.827

*Mean of five replicate

 


CONCLUSION:

An RP-HPLC method was developed and validated for simultaneous estimation of GLI and MET in tablet dosage form. The proposed method is fast, accurate, precise and sensitive.It gives good separation and resolution of the chromatographic peaks. Hence it can be employed for routine quality control of tablets containing these drugs in industries.

 

REFERENCE:

1.        Thomas L Lemke, David A Williams, Victoria F Roche, William S Zito. Foye’s Principles of Medicinal Chemistry, 6th Edn, Wolters Kluwer India Pvt. Ltd: 871, (2008).

2.        Cox SL; Diabetes Today, 40: 633-43, (2004).

3.        Indian Pharmacopoeia, Vol 2, Controller of Publication: 749-751, (2007).

4.        Harish Kumar, Ramalingam P, Vamshikrishna PV. Simultaneous determination of metformin hydrochloride, atorvastatin and glimepiride in tablet dosage forms by RP-HPLC,” American Journal of PharmTech Res, 2 (4): 991–998, (2012).

5.        Angshuman Biswas, Arindam Basu. A novel RP-HPLC method for simultaneous estimation of metformin hydrochloride and glimepiride in tablet dosage forms, IJPI’s Journal of Anal Chem, 2 (7): 10–15, (2011).

6.        Karthik A, Subramanian, Mallikarjuna Rao, Krishnamurthy Bhatt, Ranjith Kumar A. Simultaneousd of pioglitazone and glimepiride in bulk drug and pharmaceutical dosage form by RP-HPLC Method, Pakistan Journal of Pharm Sci, 21: 421–425 (2008).

7.        Deepti Jain, Surendra Jain, Deepak Jain, Maulik Amin. Simultaneous estimation of metformin hydrochloride, pioglitazone hydrochloride, and glimepiride by RP-HPLC in tablet Formulation, Journal of Chromatogr Sci, 46: 501–504 (2008).

 

 

 

 

Received on 20.05.2014                Modified on 01.06.2014

Accepted on 04.06.2014                © RJPT All right reserved

Research J. Pharm. and Tech. 7(8): August  2014  Page 906-909