A New RP-HPLC Method Development for Simultaneous Estimation of Metformin and Gliclazide in Bulk as well as in Pharmaceutical Formulation by using PDA Detector

 

A. Satya Raga Devi*1, S. Ashutosh Kumar1, J. Saravanan2, Manidipa Debnath3, V. Greeshma2, N. Sai Krishna2, Ch. Naga Madhusudhan Rao1

1Department of Pharmaceutical Analysis and Quality Assurance, A.K.R.G College of Pharmacy, Nallajerla, West Godavari, 534112, A.P

2Department of Pharmacology, A.K.R.G College of Pharmacy, Nallajerla, West Godavari, 534112, A.P

3Department of Pharmaceutics, A.K.R.G College of Pharmacy, Nallajerla, West Godavari, 534112, A.P

*Corresponding Author E-mail: ashu.mpharm2007@gmail.com

 

ABSTRACT:

Objective: Metformin is a biguanide antihyperglycemic agent used for treating non-insulin- dependent diabetes mellitus (NIDDM). It improves glycemic control by decreasing hepatic glucose production, decreasing glucose absorption and increasing insulin-mediated glucose uptake. Metformin is the only oral antihyperglycemic agent that is not associated with weight gain. Gliclazide is an oral antihyperglycemic agent used for the treatment of non-insulin-dependent diabetes mellitus (NIDDM). It belongs to the sulfonylurea class of insulin secretagogues, which act by stimulating β cells of the pancreas to release insulin. Method: This study was designed to develop and validate a simple, sensitive, precise, and specific reverse phase high-performance liquid chromatographic (HPLC) method for the determination of Metformin [MFH] and Gliclazide [GZ] combination drug in its tablet dosage forms. Result: The HPLC separation was carried out by reverse phase chromatography on XTerra column C18 (4.6 x 150mm, 5 mm) with a mobile phase composed mixture of 0.1% Orthophosporic Acid and Acetonitrile in the ratio of 35:65 v/v in isocratic mode at a flow rate of 0.8 ml/min. The run time was maintained 6mins. The detection was monitored at 230 nm. The retention time was 1.7min for [MFH] and 3.2min for [GZ].  The Accuracy was calculated and the % Recovery was found 98.0%-102.0% and reproducibility was found to be satisfactory .The calibration curve was linear over the concentration range of 20-60 µg/ml for [MFH] and 3.2-9.6µg/ml for [GZ] was found to be within limits. Conclusion: The proposed method was adequate sensitivity, reproducibility, and specificity for the determination of [MFH] and [GZ] in its tablet dosage forms. The limit of detection and limit of quantification for [MFH] and [GZ] were found to be 0.018 µg/ml, 0.03 µg /ml and 0.005 µg /ml, 0.11µg /ml respectively. The present work was undertaken with the aim to develop and validate a rapid and consistent RP- HPLC in which the peaks will be appear with a short period of time as per ICH guideline. The proposed method is simple, fast, accurate, and precise for the quantification of [MFH] and [GZ] in the dosage form.

 

KEYWORDS: High Performance Liquid Chromatography; Orthophosphoric acid; Acetonitrile; Metformin; Gliclazide; Accuracy; Quantification. 

 


INTRODUCTION:

Metformin [1] is a biguanide antihyperglycemic agent used for treating non-insulin- dependent diabetes mellitus (NIDDM). It improves glycemic control by decreasing hepatic glucose production, decreasing glucose absorption and increasing insulin-mediated glucose uptake. Metformin is the only oral antihyperglycemic agent that is not associated with weight gain.

 

Gliclazide [1] is an oral antihyperglycemic agent used for the treatment of non-insulin-dependent diabetes mellitus (NIDDM). It belongs to the sulfonylurea class of insulin secretagogues, which act by stimulating β cells of the pancreas to release insulin. Sulfonylurea’s increase both basal insulin secretion and meal-stimulated insulin release. Medications in this class differ in their dose, rate of absorption, duration of action, route of elimination and binding site on their target pancreatic β cell receptor. Sulfonylurea’s also increase peripheral glucose utilization, decrease hepatic gluconeogenesis and may increase the number and sensitivity of insulin receptors [2-3]. Sulfonylurea’s are associated with weight gain, though less so than insulin. Due to their mechanism of action, sulfonylureas may cause hypoglycemia and require consistent food intake to decrease this risk. The risk of hypoglycemia is increased in elderly, debilitated and malnourished individuals. Gliclazide has been shown to decrease fasting plasma glucose, postprandial blood glucose and glycosolated hemoglobin (HbA1c) levels (reflective of the last 8-10 weeks of glucose control). Gliclazide is extensively metabolized by the liver; its metabolites are excreted in both urine (60-70%) and feces (10-20%). Several analytical methods based on UV [4-6], Spectroflourimetry [6], RP-HPLC [7-8], LC-MS/MS [9-11] was reported for the determination of Sitagliptin phosphate monohydrate in plasma and urine of humans, rats and dogs. Metformin hydrochloride (MTF) (C4H11N5.HCl) is 1: 1 dimethylbiguanidine monohydrochloride is an anti-diabetic drug from the biguanide class of oral Hypoglycaemic agents, given orally in the treatment of non –insulin-dependent diabetes mellitus[12] .Major action of Metformin HCl in increasing glucose transport across the cell membrane in skeletal muscle[13-14]. Several analytical methods based on UV [15-18], Spectroflourimetry [15], Reverse Phase-HPLC [19-27], HPTLC [28] and LC-MS/MS [29-30] was reported for the determination of Metformin. Although literature survey reveals that various methods were reported for Metformin (MTF) and Gliclazide (GZ) both for single estimation and in combination with others drugs, but no method was reported for the analysis of these drugs in combination. The chemical structure of the drugs was represented in Fig. no. 1 and 2.

 

 

Fig. No. 1 Chemical Structure of Metformin

      

Fig. No. 2 Chemical Structure of Gliclazide

 

MATERIALS AND METHOD[31-32]

Chemicals and Reagents Used:

The  following chemicals were procured for the process: Water [HPLC Grade], Metformin and Gliclazide [Working Standard], Methanol [HPLC Grade], Ortho phosphoric acid [HPLC Grade] all the chemicals are procured from STANDARD SOLUTIONS and RECLEMET brand name of the tablet [Metformin-500mg+Gliclazide-80mg] was collected from local market and the manufacturing company was Dr. Reddy’s ®.

 

Apparatus and Chromatographic Conditions:

Equipment             : High performance liquid chromatography equipped with Auto Sampler and DAD or UV detector.

Column                 : XTERRA C18 (4.8 X 150mm, 5 μm)

Flow rate               : 0.8 mL per min

Wavelength           : 223 nm

Injection volume   : 20 ml

Column oven         : Ambient

Run time                              : 6min

Retention time      : Metformin-1.741

 Gliclazide-3.274

Detector                : Photo diode array

Soft ware               : Empower 2

 

Preparation of buffer [33]:

The buffer was prepared by weighing accurately and transferred 0.1gm of OPA into a 100ml beaker and the volume was made up to the mark with water [HPLC grade].

 

Preparation of mobile phase:

The mobile phase was prepared by making a mixture of 350 mL (35%)  buffer and 650 mL  Acetonitrile [HPLC grade] (65%)  and degassed in ultrasonic water bath for 5 minutes. Then the resultant solution was filtered through 0.45 µ filter under vacuum filtration.

 

Diluent Preparation:

The mobile phase was used as diluent.

 

Preparation of the Metformin and Gliclazide Standard and Sample Solution:

Standard Solution Preparation:

The Standard solution was prepared by weighing accurately and transferred 10 mg of Metformin and Gliclazide [working standard] into a 100mL clean dry volumetric flask. About 70 ml of the diluent was added and sonicated to dissolve it completely and further the volume was made up to the mark with the same solvent. From the above prepared Stock Solution pipette out 4.0 ml and 1.0ml of Metformin and Gliclazide into a 10ml volumetric flask and the volume was made upto the mark with diluent

 

Sample Solution Preparation:

The Sample solution was prepared by weighing accurately and transferred 10 mg of Metformin and Gliclazide into a 100ml clean dry volumetric flask.  About 70mL of diluent was added and sonicated to dissolve it completely and further the volume was made up to the mark with the same solvent. From the above prepared stock solution pipette out 4.0 ml and 1.0 ml of Metformin and Gliclazide into a 10ml volumetric flask and the volume was made up to the mark with diluent .

The standard solution and sample solution [20µl] was injected into the chromatographic system. The area was measured for the individual drug and the % Assay was calculated by using the suitable formulae.

 

System Suitability results: The Tailing factor for the peaks due to Metformin and Gliclazide in Standard solution should not be more than 1.5. The Theoretical plates for the Metformin and Gliclazide peaks in Standard solution should not be less than 2000.

 

Formula for calculation of Assay:

 

Assay % =        

Where:

AT          = Average area counts of sample preparations

AS          = Average area counts of standard preparation.

WS         = Weight of working standard taken in mg.

P             = Percentage purity of working standard

LC          = Label Claim of Metformin mg/ml, 

               Label Claim of Gliclazide mg/ml.

 

System Suitability Results for Metformin:

1) The Tailing factor obtained from the standard injection was 1.86

2) The Theoretical Plates Obtained from the standard injection was 2069              

 

Assay Result for Metformin:

              

System Suitability Results for Gliclazide:

1) The Tailing factor obtained from the standard injection was 1.18

2) The Theoretical Plates obtained from the standard injection was 2342

 

Assay Result for Gliclazide:

 

VALIDATION METHOD [34-38]

1.      Precision: The precision of an analytical procedure express the closeness of agreement between a series of measurements from multiple sampling of the same homogenous sample under prescribed conditions. The standard solution was injected for five times and measured the area for all five injections in HPLC. The %RSD for the area of five replicate injections was found to be within the specified limits. (Table no. 1 and 2)

 

 

 

Table no.1The Precision results for Metformin.

Injection

Area

Injection-1

4542582

Injection-2

4539827

Injection-3

4554820

Injection-4

4569427

Injection-5

4555492

Average

4552430

Standard Deviation

11830.0

%RSD

0.26

 

Table no.2The Precision results for Gliclazide.

Injection

Area

Injection-1

242568

Injection-2

240889

Injection-3

243268

Injection-4

246276

Injection-5

242438

Average

243088

Standard Deviation

1982.9

%RSD

0.82

 

Acceptance Criteria: The % RSD for the area of five standard injections results should not be more than 2%.

 

2.      Intermediate Precision/Ruggedness: To evaluate the intermediate precision (also known as Ruggedness) of the method,   Precision was performed on different day by using different make column of same dimensions. The standard solution was injected for five times and measured the area for all five injections in HPLC. The %RSD for the area of five replicate injections was found to be within the specified limits. (Table no. 3 and 4)

 

Table no.3The Intermediate Precision/Ruggedness results for Metformin

 

Injection

Area

Injection-1

4573255

Injection-2

4566860

Injection-3

4585475

Injection-4

4596757

Injection-5

4589101

Average

4582289

Standard Deviation

12099.1

%RSD

0.26

 

Table no.4The Intermediate Precision/Ruggedness results for Gliclazide

Injection

Area

Injection-1

243638

Injection-2

243929

Injection-3

245239

Injection-4

243873

Injection-5

245102

Average

244356

Standard Deviation

753.2

%RSD

0.31

Acceptance Criteria: The % RSD for the area of Five standard injections results should not be more than 2%.

 

 

 

 

 

 


Table no.5The Accuracy results for Metformin

%Concentration

(at specification Level)

Area

Amount Added

(mg)

Amount Found

(mg)

% Recovery

Mean Recovery

50%

4590938

5.0

5.09

101.72%

100.70%

100%

9006381

10.0

9.98

99.78%

150%

13620813

15.0

15.09

100.6%

 

 

 

Table no.6The Accuracy results for Gliclazide

%Concentration

(at specification Level)

Area

Amount Added

(mg)

Amount Found

(mg)

% Recovery

Mean Recovery

50%

198827

5.0

5.03

100.5%

100.4%

100%

392707

10.0

9.93

99.2%

150%

601972

15.0

15.2

101.4%

Acceptance Criteria: The % Recovery for each level should be between 98.0 to 102.0%.


 

3.    Accuracy: The accuracy of an analytical procedure expresses the closeness of agreement between the value which is accepted   either as a conventional true value or an accepted reference value and value found. Standard solutions with Accuracy -50%, 100% and 150% were injected into chromatographic column and calculated the Amount found and Amount added for Metformin and Gliclazide. Same time the Individual recovery and Mean recovery values were also calculated (Table no. 5 and 6).

 

 

4.           Linearity: The linearity of the analytical procedure is its ability (within a given range) to obtain the test results which are directly proportional to the concentration (amount) of analyte in the sample. Different levels were prepared and injected into the chromatographic system and measured the peak areas. A graph was plotted between peak area versus concentration and correlation coefficient value was calculated (Table no 7 and 8).

 

 

Table no.7The Linearity results for Metformin

S.No

Linearity Level

Concentration

Area

11

I

20ppm

2425172

2

II

30 ppm

3550954

3

III

40 ppm

4610109

4

IV

50 ppm

5790066

5

V

60 ppm

6894512

Correlation Coefficient

0.999

 

Table no.8The Linearity results for Gliclazide

 

S.No

Linearity Level

Concentration

Area

1

I

3.2 ppm

106223

2

II

4.8 ppm

146862

3

III

6.4 ppm

197967

4

IV

8ppm

243698

5

V

9.6 ppm

293773

Correlation Coefficient

0.999

Acceptance Criteria: The Correlation coefficient should be not less than 0.999.

 

5.    Limit of detection: The detection limit of an individual analytical procedure is the lowest amount of analyte in a sample which can be detected but not necessarily quantities as an exact value. Several approaches for determining the detection limit are possible, depending on whether the procedure is a non instrumental or instrumental.

 

Limit of Detection for Metformin:

Calculation of S/N Ratio:

Average Baseline Noise obtained from Blank:    42 µV

Signal Obtained from LOD solution (3.9% of target assay concentration):    125 µV

S/N =        125/42 =   2.97

 

a.            Limit of Detection for Gliclazide:

Calculation of S/N Ratio:

Average Baseline Noise obtained from Blank:    42 µV

Signal Obtained from LOD solution (0.4% of target assay concentration):    126 µV

S/N =        126/42 =   3.0

Acceptance Criteria: The S/N Ratio value shall be 3 for LOD solution.

 

6.    Limit of quantification: The Quantification limit of an individual analytical procedure is the lowest amount of analyte in a sample which can be quantitatively determined with suitable precision and accuracy. The Quantification limit is a parameter of quantitative assays for low levels of compounds in sample matrices, and is used particularly for the determination of impurities and/ or degradation products. Several approaches for determining the Quantification limit are possible, depending on whether the procedure is a non- instrumental or instrumental.

 

Limit of quantification for Metformin:

Calculation of S/N Ratio:

Average Baseline Noise obtained from Blank:    42 µV

Signal Obtained from LOQ solution (6.5% of target assay concentration):    418µV

S/N =        418/42 = 9.95

 

Limit of quantification for Gliclazide:

Calculation of S/N Ratio:

Average Baseline Noise obtained from Blank:    42 µV

Signal Obtained from LOQ solution (1.6% of target assay concentration):    423µV

S/N =        423/42 = 10.07

Acceptance Criteria: The S/N Ratio value shall be 10 for LOQ solution.

 

Robustness: As part of the Robustness, deliberate change in the Flow rate, Mobile Phase composition, Temperature Variation was made to evaluate the impact on the method.

 

a) The flow rate was varied at 1.1 ml/min to 1.3ml/min.: The Standard solution was prepared and analysed using the varied flow rates along with developed flow rate. On evaluation of the above results, it was concluded that the variation in flow rate does not affected the method significantly. Hence it indicates that the method is robust even by change in the flow rate ±10%.

 

b) The Organic composition in the Mobile phase was varied from 75% to 85%: The standard solution of was prepared and analysed using the varied Mobile phase composition (in the organic phase composition) along with the actual mobile phase composition in the method. On evaluation of the above results, it was concluded that the variation in 10% Organic composition in the mobile phase did not affected the method significantly. Hence it indicated that the method was robust even by change in the Mobile phase ±10. (Table No.9 and 10)

 

Table no. 9The System suitability results for Metformin

 

S.No

Flow Rate (ml/min)

System Suitability Results

USP Plate Count

USP Tailing

1

0.7

2126

1.78

2

0.8

2069

1.86

3

0.9

2043

1.91

Table no. 10The System suitability results for Gliclazide

 

 

S.No

Flow Rate (ml/min)

System Suitability Results

USP Plate Count

USP Tailing

1

0.7

2194

1.38

2

0.8

2342

1.18

3

0.9

2142

1.71

 

 

 

RESULTS AND DISCUSSION:

The present study was carried out to develop a sensitive, precise and accurate HPLC method for the analysis of in pharmaceutical dosage forms. In order to method development under isocratic conditions, mixtures of 0.1% Orthophosporic Acid and Acetonitrile in the ratio of 35:65 v/v was proved to be the most suitable of all combinations since the chromatographic peaks were better defined and resolved and almost free from  tailing. Flow rate was selected 0.8 ml/min in Isocratic Mode. The run time was maintained 6mins. The detection was monitored at 230 nm. The retention time was 1.7min for [MFH] and 3.2min for [GZ]. A model chromatogram was represented in fig .no.3.

                   

Fig. No.3 The typical chromatogram for the Optimized method

 

 

Fig. No.4 The typical chromatogram for Blank

                                                                                                                                                                                                                                                                                                                                        

 

Fig. No.  5 The typical chromatogram for Standard

 

Fig. No. 6The typical chromatogram for Sample

For Precision Studies the standard solution was injected for five times and measured the area for all the five injections in HPLC system. The % RSD for the area of five standard injections results should not be more than 2%.The %RSD  for the area of the above five standard injections of both the drugs was found to be within the limits. So, that the method was said to be precise. The data was represented in table no. 1 and 2. A model chromatogram is represented in Fig. no. 7

 

Fig. No. 7The typical chromatogram for Precision

 

 

For Intermediate Precision/Ruggedness studies the standard solution was injected for five times and measured the area for all the five injections in HPLC system. The %RSD for all the area of five replicate injections was found to be within the specified limits. The data was represented in Table 3 and 4. A model chromatogram was represented in Fig.No.8.

 

Fig. No.8 The typical chromatogram for intermediate precision/ruggedness

 

The % RSD for the area of five standard injections results should not be more  than 2%.The %RSD  for the area of the above five standard injections of both the drugs was found to be within the limits. So, that the method was said to be precise. For Accuracy, the standard solution of different concentrations was injected, Accuracy -50%, Accuracy -100% and Accuracy -150% solutions. The amount found was calculated and the amount added for Metformin and Gliclazide was calculated. The individual recovery and mean recovery values were also calculated. The data were represented in Table 5, and 6. A model chromatogram was represented in Fig.No.9, 10 and 11.

 

Fig. No.9The typical chromatogram for Accuracy (50% concentration)

 

Fig. No.10The typical chromatogram for Accuracy (100% concentration)

                                                                                                                                                                        

Fig. No. 11 The typical chromatogram for Accuracy (150% concentration)

The % Recovery for each level was found to be in between 98.0 to 102.0%. The % recovery for each level was found to be within the limits. So, that the method was said to be accurate.

 

In order to test the linearity of the method, the solutions of each level were injected into the chromatographic system and measured the peak area. A graph was plotted, Peak area versus Concentration (on X-axis concentration and on Y-axis Peak area) and the correlation coefficient was calculated. The data was represented in table 7 and 8. The Correlation coefficient was found 0.999.The correlation coefficient was found to be within limits. So, that the method was said to be linear. The data were represented in Table no. 7 and 8. The Linearity Curve was represented in Fig. No.12 and 13

 

Fig.No.12The Linearity Curve for Metformin

 

                    

Fig. No.13 The Linearity Curve for Gliclazide

 

Limit of detection and limit of quantification of the method were calculated basing on standard deviation of the response and the slope (s) of the calibration curve at approximate levels of the limit of detection and limit of quantification.  The limit of detection and limit of quantification for [MFH] and [GZ] were found to be 0.018 µg/ml, 0.03 µg /ml and 0.005 µg /ml, 0.11µg /ml respectively. A model chromatogram was represented in Fig. no. 14 and 15.

                                                      

 Fig. No. 14The typical chromatogram for Limit of Detection

 

Fig. No. 15The typical chromatogram for Limit of quantification

 

 

Robustness  of  the method was found out by testing the effect of small deliberate changes in the chromatographic conditions  in  the  chromatographic  conditions  and  the  corresponding  peak  areas.  The factors selected  for  this  purpose  were  flow  rate  and  percentage  composition  variation  in  organic phase of the mobile phase (Acetonitrile). The method was found to be robust enough that the peak area was not apparently affected by small variation in the chromatographic conditions. The data were represented in Table no. 8 and 9. A model chromatogram was represented in Fig. No.16 and 17.

 

Fig. No. 16The typical chromatogram for robustness with change in flow rate

 

Fig. No. 17The typical chromatogram for robustness with change in the composition of Mobile Phase (Organic phase)

 

CONCLUSION:

Development of new analytical methods for the determination of drugs in pharmaceutical dosage forms is more important in pharmacokinetics, toxicology and biological studies. Pharmaceutical analysis occupies a pivotal role in industry, the quality assurance and quality control department play major role in bringing out a safe and effective drugs or dosage form. The current good manufacturing practices (CGMP) and the food drug administration (FDA) guidelines insist for adoption of sound method of analysis with great sensitivity and reproducibility.  Therefore, the complexity of problems encountered  in pharmaceutical analysis with the importance of achieving the selectivity , speed , low cost, simplicity, sensitivity, specificity, precision and accuracy in estimation of drugs. It  was  concluded  that  the  proposed  RP-HPLC  method  developed  for  the  quantitative determination of Metformin and Gliclazide in bulk and in its formulations was simple, selective, sensitive,  accurate,  precise  and  rapid.  The  method  was  proved  to  be  superior  to  most  of  the reported  methods.  The mobile phases were simple to prepare and economical. The sample recoveries in the formulation were in good agreement with their respective label claims and they suggested non-interference of formulation excipients in the estimation. Hence this method can easily  be  adopted  as  an  alternative  method  to  reported  ones  for  the  routine  determination  of Metformin  and  Gliclazide depending  upon  the  availability  of  chemicals  and  nature  of  other ingredients  present  in  the  sample.  The method will also find use in clinical, biological and pharmacokinetic studies of Metformin and Gliclazide at future.

 

FUTURE ASPECTS:

The proposed method can be used as alternative methods to the reported ones for the routine determination of selected drugs under the study in pharmaceutical dosage forms. Thus the purpose of the present investigation was successfully achieved.

 

REFERENCES:

1.       www.rxlist.com/reclamet-drug.htm

2.       Herman G, Bergman A, Liu F, Stevens C, Wang A, Zeng W et al. Pharmacokinetics and

pharmacodynamic  effects  of  the  oral  DPP-4  inhibitor  sitagliptin  in  middle-aged  obese subjects. J Clin Pharmacol 2006; 46 (8): 876–886.

3.       Dubal A, Khatwal R, Kosaraju J, Meda V, Samanta M. Bio-analytical method development and validation of Sitagliptin phosphate by RP-HPLC and its application to pharmacokinetic study. Int J Pharm Pharm Sci 2012; 4, (2): 691-694.

4.       Balasekaran C, Rani PA. Development and validation of Spectrophotometric method for the determination of DPP-4 Inhibitor, Sitagliptin in its pharmaceutical preparations. Int J Pharm Pharm Sci 2010; 2(4): 138-142.

5.       Parag P, Imran M, Bairagi V, Ahire Y. Development and validation of stability indicating

UV  Spectrophotometric  method  for  the  estimation  of  Sitagliptin  phosphate  in  bulk  and tablet dosage form. J Pharm Res 2011; 4(3): 871-873.

6.       Khan,  Agrawal  Y  P,  Sabarwal  N,  Jain  A,  Gupta  A  K.  Simultaneous  Estimation  of

Metformin and Sitagliptin In tablet dosage form. Asian J Biochem Pharma Res 2011; 1(2): 352-358.

7.       Ramzia El-Bagary, Ehab EF, Bassam AM. Spectroflourometric and Spectrophotometric

methods  for  the  determination  of  Sitagliptin  in  binary  mixture  with  Metformin  and

ternary  mixture  with  Metformin  and  Sitagliptin  Alkaline  Degradation  Product.  Int J Biomed Sci 2011; 7(1): 62-69.

8.       Ravi PP, Sastry BS, Rajendra PY, Appala RN. Simultaneous Estimation of Metformin HCl and Sitagliptin Phosphate in tablet dosage forms by RP-HPLC. Res J Pharm Tech 2011; 4(4): 646-649.

9.       Shyamala  M,  Mohideen  S,  Satyanarayana  T,  Narasimha  R,  Suresh  K,  Swetha  K. Validated RP-HPLC for simultaneous estimation of Sitagliptin phosphate and Metform in hydrochloride in tablet dosage form. American J Pharm Tech Res 2011; 1(2): 93-101.

10.     Zeng W, Xu Y, Constanzer M, Woolf EJ. Determination of Sitagliptin in human plasma using protein precipitation and tandem mass spectrometry. J Chromatogr B 2010; 878(21):1817-1823.

11.     Zeng W, Musson DG, Fisher AL, Chen L, Schwartz MS, Woolf EJ et al. Determination

of  Sitagliptin  in  human  urine  and  hemodialysate  using  turbulent  flow  online  extraction and tandem mass spectrometry. J Pharm Biomed Anal 2008; 46(3): 534-542.

12.     Nirogi R, Kandikere V, Mudigonda K, Komarneni P, Aleti R, Boggavarapu R. Sensitive liquid  chromatography  tandem  mass  spectrometry  method  for  the  quantification  of Sitagliptin,  a  DPP-4  inhibitor,  in  human  plasma  using  liquid–liquid  extraction.  Biomed Chromatogr 2008; 22(2): 214–222.

13.     Campbell DB, Lavielle R, Nathan C. The mode of action and clinical pharmacology of gliclazide: a review. Diab Res Clin Prac1991; 14:S21-S36.

14.     Moses R., Fixed combination of repaglinide and Metformin in the management of type 2 diabetes, Diabetes, Metab Syndr 2009; 2:101-9.

15.     Tripathi K. D. Essential of Medical Pharmacology, 5th Edn, Jaypee Brothers Medical publisher New Delhi.515-516.

16.     Hassasaad S.M., Mahmoud WH., Elmosallamy MA, Othman AH. Determination of Metformin in pharmaceutical preparations using potentiometry, spectrofluorimetry and UV–visible spectrophotometry. Anal Chimic. 1999; 378(1-3): 299-311.

17.     Patil S.S., Bonde C.  G  .Development  and  Validation  of  analytical  method  for Simultaneous Estimation of Glibenclamide and Metformin HCl in Bulk and Tablets using UV visible spectroscopy, Int J Chem Tech Res 2009;1(4): 905-909.

18.     Lakshmi KS,  Rajesh  T,  Sharma  S,  Lakshmi  S.  Development  and  Validation  of  Liquid Chromatographic and UV Derivative Spectrophotometric Methods for the Determination of  Metformin,  Pioglitazone  and  Glimepiride  in  Pharmaceutical  Formulations.  Der Pharma Chemica 2009; 1 (1): 238-246.

19.     Freddy H.  Havaldar, Dharmendra L.Vairal.  Simultaneous  estimation  of  Metformin hydrochloride,  rosiglitazone  and  pioglitazone  hydrochloride  in  the  tablets  dosage  form. Int J AppBio Pharm Tec 2010; 1(3):1000-1005.

20.     AbuRuz,  S.,  Millership  J,  McElnay  J.  The  development  and  validation  of  liquid chromatography method for the simultaneous determination of Metformin and glipizide, gliclazide,  Glibenclamide  or  glimperide  in  plasma.  J  Chromatogr  B 2005;  817(2):  277-286.

21.     Jain D, Jain S, Jain D ,Maulik A. Simultaneous Estimation of Metformin Hydrochloride, Pioglitazone Hydrochloride, and Glimepiride by RP-HPLC in Tablet Formulation .J Chromatogr Sci 2008; 46:501-504.

22.     Havele  S,  Dhaneshwar  S.  Development  and  validation  of  a  HPLC  method  for  the determination of Metformin hydrochloride, gliclazide and piogliglitazone hydrochloride in  multicomponent  formulation.  Webmed  central  pharmaceutical  sciences. 2010;1(10).

23.     Al-Rimawi  F,  Development  and  validation  of  an  analytical  method  for  Metformin hydrochloride  and  its  related  compound  (1-cyanoguanidine)  in  tablet  formulations  by HPLC-UV. Talanta 2009; 79(5):1368-71.

24.     Havele S, Dhaneshwar S. Estimation of Metformin in Bulk Drug and in Formulation by HPTLC. J Nanomedic Nanotechnolo 2010;1: 102.

25.     Georgita  C,  Albu  F,  David  V,  Medvedovici  A.Simultaneous  assay  of  metformin  and glibenclamide  in  human  plasma  based  on  extraction-less  sample  preparation  procedure and LC / (APCI)MS. J Chromatogra B 2007; 854(1-2):211-218.

26.     ICH  Harmonised  Tripartite  Guideline.  Text  on  Validation  of  Analytical  Procedures, International Conference on Harmonization, Geneva, 1994; 1-5.

27.     Lakshmi  KS,  Rajesh  T,Sharma  S.  Simultaneous  determination  of  metformin  and pioglitazone  by  reversed  phase  HPLC  in  pharmaceutical  dosage  forms.  Int  J  Pharm Pharm Sci 2009; 1(2): 162-166.

28.     Alexandar  S,  Diwedi  R,  Chandrasekar  M.  A  RP-HPLC  method  for  simultaneous estimation of metformin and pioglitazone in pharmaceutical formulation. Res J PharmBio Chem Sci 2010; 1(4): 858-866.

29.     Florentin  T,  Monica  A  .Specificity  of  an  analytical  HPLC  assay  method  of  Metformin hydrochloride. Revue Roumainede Chimie 2007; 52(6):603–609.

30.     Pawar  S,  Meshram  G,  Jadhav  R,Bansal  Y.  Simultaneous  determination  of  Glimepiride and Metformin hydrochloride impurities in sustained release pharmaceutical drug product by HPLC .Der Pharma Chemica 2010; 2(4): 157-168.

31.     S. Ashutosh Kumar, Manidipa Debnath, Dr. J.V.L.N.Seshagiri Rao. Simultaneous Estimation of Sitagliptin Phosphate Monohydrate and Metformin Hydrochloride in Bulk and Pharmaceutical Formulation by RP-HPLC.  Am. J. Pharm Tech Res. 2013; 3(3), 556-575. Research article. ISSN: 2249-3387.

32.     S. Ashutosh Kumar, Manidipa Debnath, Dr. J.V.L.N. Seshagiri Rao. Development of Stability Indicating RP- HPLC method for Simultaneous Estimation of Metformin Hydrochloride and Sitagliptin Phosphate Monohydrate in Bulk as well as in Pharmaceutical formulation. Der Pharmacia Sinica, 2013, 4(4):47-61. ISSN: 0976-8688.

33.     Indian  Pharmacopeia  2007,  Volume  I,  Published  by  The  Indian  Pharmacopoeia Commission, 477-478.

34.     Validation of analytical procedure: Methodology Q2B, ICH Harmonized Tripartite Guidelines, 1996:1-8.

35.     International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use ICH Harmonized tripartite guideline Validation of analytical procedures: Text and Methodology Q2 (R1) 6 November 1996.

36.     Yuri Kazakevich and Rosario  Lobrutto Seton.  HPLC for Pharmaceutical Scientists. 1st ed. Published by Wiley-VCH; 2007; 369-382.

37.     Stavros  Kromidas.  HPLC  Made  to  Measure,  A  Practical  Book  for  Optimization. Published by Wiley-VCH; 2006; 62-66.

38.     Yuri Kazakevich and Rosario  Lobrutto Seton.  HPLC for Pharmaceutical Scientists. 1st ed. Published by Wiley-VCH; 2007; 389-391.

 

 

 

Received on 24.10.2013       Modified on 25.11.2013

Accepted on 14.01.2014      © RJPT All right reserved

Research J. Pharm. and Tech. 7(2): Feb. 2014; Page142-150