A Quality by Design (QbD) Based Method Development and Validation of a High-Performance Liquid Chromatography for the Simultaneous Estimation of Metformin and Ertugliflozin


Department of Pharmaceutical Chemistry and Analysis, School of Pharmaceutical Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai, Tamil Nadu, India, 09618015653

Abstract

This study explains about the Analytical Quality by Design approach for the optimization of a High-Performance Liquid Chromatography Method for the simultaneous estimation of Metformin and Ertugliflozin in pharmaceutical substance. The study aimed to optimize the High-Performance Liquid Chromatography (HPLC) by means of an analytical target profile in order to achieve good separation of compounds along with acceptable analysis time. Identification of risk factors for variables affects the method efficacy. This leads to the development of an accurate, precise, and economic method. The optimized conditions of the developed method were a stationary phase of a Discovery C18 250 x 4.6mm, 5m and a mobile phase of Orthophosphoric acid buffer (pH 2.2),ACN taken in the ratio 60:40 was selected as mobile phase and detection wavelength of 230nm. The flow rate was selected as 0.98ml/min at 29.150C column temperature. Using the central composite design (CCD) method was optimized. The method is showing the linearity over the concentration range of 25-150µg/ml for Metformin and 0.375-2.25µg/ml for Ertugliflozin. The intra-and inter-day precision were less than 2% of relative standard deviation. Accuracies between 99-102% of the true values. The LOD obtained for Metformin and Ertugliflozin were found to be 59 and 3.7, respectively. LOQ obtained for Metformin and Ertugliflozin were 77.6 and 5.2, respectively. Under accelerated conditions degradation percentage of the drug was found to be less than 10%, and the degradation product peak not affecting the system suitability of Metformin and Ertugliflozin.

Keywords

Quality by Design, Design of Experiments, Metformin, Ertugliflozin and Analytical Target Profile

Introduction

Ertugliflozin is a drug used to treat type-2 diabetes. IUPAC name of Erthugliflozin is (1S,2S,3S,4R,5S)-5-[4-Chloro-3-(4-ethoxybenzyl)phenyl]-1-(hydroxymethyl) -6,8-dioxabicyclo[3.2.1]octane-2,3,4-triol. Molecular weight is 436.89 g·mol−1 and the chemical formula is C22H25ClO7. (Cinti et al., 2017; Laxmi, Vallikumari, Marakatham, & Kumar, 2019) Structure of Ertugliflozin shown in Figure 1.

Metformin also used in the treatment of type-2 diabetes, especially in obese patients. This a first-line medication. IUPAC name of Metformin is N,N-Dimethylimidodicarbonimidicdiamide. The molecular formula is C4H11N5and the molecular weight is 129.167 g·mol−1. (Rao, Rao, & Svum, 2019; Setter, Iltz, Thams, & Campbell, 2003) Structure of Metformin shown in Figure 2.

AQbD is a process of risk assessment, proactive and methodical approach to develop an analytical method. Which focus on the robustness of the method to minimize the source of variability. Hence developed method reaches requirements throughout the method and product lifecycle (Peraman, Bhadraya, & Reddy, 2015; Reid et al., 2013). In this study efficiency of the developed method was determined according to Analytical Target Profile (ATP). (Raman, Mallu, & Bapatu, 2015)

The current research work aimed to develop a Quality by Design based HPLC method for the estimation of Metformin and Ertugliflozin in pharmaceutical substance.

The developed method was validated for validation parameters like accuracy, precision, linearity, specificity, the limit of detection (LOD), and limit of quantification (LOQ), robustness and stability according to ICH guidelines.

According to International Conference on Harmonization (ICH) Q8 (R2), ICH Q9 guidelines, effects of various method input variables on method performance or response was evaluated (ICH Q8 (R2), 2009; ICH Q9, 2005).

According to literature Review (Kumari & Bandhakavi, 2020; Shafaat, Ahmed, Khan, Anas, & Qureshi, 2020), there were few studies were published on an estimation of Metformin and Ertugliflozin using chromatography methods (Nizami, Shrivastava, & Sharma, 2018). There is no data available on the Quality by Design based method. This made me to work on present research work.

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Figure 1: Ertugliflozin

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Figure 2: Metformin

Materials and Methods

Chemicals and Reagents

Pure Metformin and Ertugliflozin were procured from Spectrum pharmaPvt Ltd (Hyderabad). Hydrochloric acid AR grade (HCL) and sodium hydroxide AR grade (NAOH) were obtained from Merck India Pvt Ltd. Hydrogen Peroxide (H2O2) was purchased from Qauligens. Acetic acid AR grade was purchased from Fisher scientific, India and S.D. Fine chem Ltd. Respectively. HPLC grade Acetonitrile (ACN) was purchased from Fischer scientific. HPLC grade water used throughout the analysis was obtained from the Merck milli-Q water purification unit.

Equipment

The LC system HPLC is used for method development and method validation. Detection was done by Waters with a diode array detector (model: 2996 detector 2487 separation module). The output signal was supervised and studied using Waters Empower 2 Software. Mettler Toledo balance was used to perform weighing. Other equipments used throughout the experimental work are a hot air oven (Yorco scientific), thermostat dry air equipment, Thermo scientific and pH meter (Eutech instruments pH tutor, pH meter, India).

Chromatographic Conditions

Various trials were conducted to select the mobile phase and stationary phase of a Discovery C18 250 x 4.6mm, 5m. Orthophosphoric acid buffer (pH 2.2) and ACN taken in the ratio 60:40 was selected as mobile phase. Using the central composite design (CCD) method was optimized.

Preparation of solutions

Preparation of Standard Solution

50mg of Metformin and 0.75mg of Ertugliflozin were weighed accurately and transferred to 50 ml clean dry graduation flasks separately. A 10ml of diluent (Water: Acetonitrile (50:50) ) was added and sonicated for 10 minutes.

Made up the volume to 50ml with diluent to produce 1000µg/ml Metformin and 15µg/ml Ertugliflozin solution. 1ml of each solution were taken into a 10ml volumetric flask and made up to 10ml with diluent to get 100µg/ml Metformin and 1.5µg/ml Ertugliflozin solution.

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Figure 3: 2D contour plots of retention time as a function of FR, Column temperature and organic ratio

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Figure 4: 3D contour plots of retention time as a function of FR (a), Column temperature (b) and organic ratio(c)

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Figure 5: Overall desirability of the final method

Preparation of buffer

Buffer: 0.1% Orthophosphoric acid

1ml of orthophosphoric acid taken into a volumetric flask and diluted to 1000ml with HPLC grade water (pH 2.2).

Method validation

The method validation was performed as per ICH guidelines.

To conduct system suitability studies, six replicate samples were injected into the system to calculate the retention time, area, theoretical plates, SD and %RSD. In linearity studies conducted by injecting different concentrations range of 25-150µg/ml of Metformin and 0.375-2.25µg/ml of Ertugliflozin. By taking concentration on X-axis and peak area on the Y-axis, a linearity plot was plotted. The correlation co-efficient (R2) should be less than 1. Accuracy performed to determine percentage recovery by injecting 50%, 100% and 150% of concentrations of Metformin and 80%, 100% and 120% of concentrations of Ertugliflozin standard in triplicate. After performing repeatability (intra-day) and intermediate precision (inter-day), method precision was determined. In precision, % RSD should be less than 2. Limit of detection (LOD)and Limit of Quantification (LOQ) refers to the lowest concentration level resulting in a peak area of three times and ten times the baseline noise, respectively. Robustness referred to as the extent of a method to remain unaltered by small or deliberate changes in chromatographic conditions like an organic solution in mobile phase ratio (± 10), flow rate (± 10) and temperature (± 10).

Stress studies

To conduct acid hydrolysis, base hydrolysis and neutral hydrolysis, 1ml of stock solution added 1ml of 2N HCl, 1ml of stock solution and 1ml of 2N NaOH solution and 1ml of stock solution and 1ml of water individual volumetric flask, respectively. Three solutions were shaken in Radley apparatus 70ºC for 1 hr, then neutralized and diluted to 10ml. In oxidative degradation, to 1ml of stock solution, a 1ml of 20% H2O2 solution was added and kept in the dark area at room temperature for 24 hrs and diluted to 10ml. In thermal degradation, 50mg of Metformin and 0.75mg of Ertugliflozin were kept in a petri dish and placed in a hot air oven at 70ºC for 24hrs. The sample was collected at different points o time and dissolved in the diluent to produce 10ml. In photodegradation, 50mg of Metformin and 0.75mg of Ertugliflozin were applied uniformly over a petri dish and allowed to fall sunlight for 24hrs. Samples were collected at multiple time points and dissolved in the diluent to produce 10ml.

Results and Discussion

Method Development

Initial trials were conducted to optimize the method according to the central composite design (CCD) method. HPLC studies were carried out using a Kromasil C18 (250×4.6 mm, 5 μm) and 0.1%OPA: Methanol (61.2:38.8%) as mobile phase, at wavelength detection of 230nm. The flow rate was selected as 0.98ml/min at 29.150C column temperature. The retention time was found to be 2.4min and 4.037 min Metformin and Ertugliflozin, respectively. Using the central composite design (CCD) method was optimized. The factors viz; % Organic concentration, flow rate, Column temperature were taken, and counter and a 3D surface plot showing the effect of each parameter on Retention Time, Theoretical plates and Asymmetry (CQA) were generated. Results and ANOVA studies were shown in Table 2; Table 1, respectively. A desirability function applied to the optimized conditions to predict retention time, asymmetry and theoretical plates.

2D contour plot was developed as a function of 1% organic concentration, pH and buffer strength. To understand the results, 2D contour plots and 3D plot were generated from data using Design Expert® software (shown in Figure 4; Figure 3).

To get an optimum set of conditions, composite desirability was applied based on the specified goals and limits of each responses. If the response on the desirability scale is on 1 it is a fully desirable response and the response is on 0. It is an undesirable response. Responses based on specified goals and boundaries for retention time, area and asymmetry obtained desirability composite was 1. As shown in Figure 5.

Optimization of Chromatographic Conditions

Initial trials were performed to optimize the method according to the central composite design (CCD) method. HPLC studies were carried out using a Kromasil C18 (250×4.6 mm, 5 μm) and 0.1%OPA: Methanol (61.2:38.8%) as mobile phase, at wavelength detection of 230nm. Flow rate was selected as 0.98ml/min at 29.150C column temperature. Peaks of Metformin and Ertugliflozin were developed at 2.4min and 4.037 min, respectively. An optimized chromatogram was shown in Figure 6.

Table 1: Central composite experimental design matrix with response

Std

Factor 1

Factor 2

Factor 3

Response 1

Response 2

Response 3

Response 4

A: FR

B: MP

C: T

RT1

RT2

RS

TF1

ml/min

%

0C

MIN

NUM

NUM

4

1.1

60

27

2.323

3.261

6.3

1.4

14

1

50

35.0454

2.547

3.617

7.3

1.5

8

1.1

60

33

2.299

3.229

6.2

1.3

19

1

50

30

2.579

3.697

7.5

1.4

5

0.9

40

33

2.920

4.384

7.6

1.5

3

0.9

60

27

2.801

3.966

6.6

1.4

2

1.1

40

27

2.397

3.647

7.7

1.5

13

1

50

24.9546

2.601

3.783

7.9

1.5

20

1

50

30

2.589

3.714

7.6

1.4

11

1

33.1821

30

2.819

7.378

20.4

1.6

17

1

50

30

2.587

3.716

7.6

1.4

18

1

50

30

2.580

3.704

7.5

1.4

1

0.9

40

27

2.943

4.530

8.5

1.5

6

1.1

40

33

2.399

3.603

7.2

1.5

12

1

66.8179

30

2.514

3.533

6.8

1.5

7

0.9

60

33

2.827

3.971

6.2

1.4

15

1

50

30

2.564

3.698

7.7

1.5

16

1

50

30

2.580

3.730

8.1

1.5

9

0.831821

50

30

3.149

4.524

6.5

1.5

10

1.16818

50

30

2.218

3.187

6.5

1.4

Table 2: ANOVA table for Retention time using CCD

Source

Sum of Squares

Df

Mean Square

F-value

p-value

Model

1.06

9

0.1173

105.79

< 0.0001

significant

A-FR

0.9695

1

0.9695

874.66

< 0.0001

B-MP

0.0622

1

0.0622

56.15

< 0.0001

C-TP

0.0009

1

0.0009

0.7967

0.3931

AB

0.0005

1

0.0005

0.4196

0.5317

AC

0.0001

1

0.0001

0.0705

0.7960

BC

0.0001

1

0.0001

0.0597

0.8120

0.0130

1

0.0130

11.71

0.0065

0.0083

1

0.0083

7.49

0.0209

0.0011

1

0.0011

0.9833

0.3448

Residual

0.0111

10

0.0011

Lack of Fit

0.0107

5

0.0021

27.65

0.0012

significant

Pure Error

0.0004

5

0.0001

Cor Total

1.07

19

Table 3: Result of system suitability

S.No

Metformin

Ertugliflozin

RT

Area

RT

Area

1

2.515

2552371

1.38

239700

2

2.518

2530245

1.4

243723

3

2.52

2422701

1.44

245503

4

2.523

2526138

1.42

248543

5

2.527

2523971

1.43

242764

6

2.53

2508851

1.42

244180

Mean

2510713

244069

SD

45343.5

2932.4

%RSD

1.8

1.2

Table 4: Result of linearity

S. No

Metformin

Ertugliflozin

Conc. (ppm)

Area

Conc. (ppm)

Area

1

0

0

0

0

2

25

638163

0.375

61564

3

50

1286114

0.75

127241

4

75

1858023

1.125

185685

5

100

2543171

1.50

242332

6

125

3173970

1.875

304469

7

150

3755568

2.25

363582

Table 5: Results for Accuracy

Drug Name

%

Area

Total Conc

Added Conc

Std Conc

Amt Rec

AVG % Rec

Metformin

50%

3776096

149.8943

50

100

49.89

100.95

3800845

150.8789

50

100

50.88

3795078

150.6494

50

100

50.65

100%

5058775

200.9238

100

100

100.92

100.7467

5026299

199.6318

100

100

99.63

5078147

201.6945

100

100

101.69

150%

6238379

247.8527

150

100

147.85

99.12333

6273225

249.239

150

100

149.24

6266469

248.9702

150

100

148.97

Ertugliflozin

80%

363063

2.239213

0.75

1.5

0.74

100.1533

366337

2.259535

0.75

1.5

0.76

365559

2.254706

0.75

1.5

0.75

100%

485915

3.001753

1.5

1.5

1.50

100.2633

484964

2.99585

1.5

1.5

1.50

487929

3.014254

1.5

1.5

1.51

120%

601817

3.721154

2.25

1.5

2.22

98.50333

600535

3.713197

2.25

1.5

2.21

600788

3.714767

2.25

1.5

2.21

Table 6: Results for Precision

S.No

Metformin

Ertugliflozin

Intra-day Precision

Inter-day Precision

Intra-day Precision

Inter-day Precision

1

2544638

2438949

245566

232491

2

2524412

2456129

242421

228170

3

2469751

2397470

247505

236798

4

2547631

2424212

241610

240907

5

2530091

2431030

247226

235219

6

2482730

2441079

240309

233638

AVG

2516542

2431478

244106

234537

STDEV

32662.1

19825.3

3062.9

4282.2

%RSD

1.3

0.8

1.3

1.8

Table 7: Summary of degradation study

S. No.

Degradation Condition

Metfomin % degradation

Ertugliflozin % degradation

1.

2N HCl, 8 hrs

7.99

7.37

2.

2N NaOH, 8hrs

6.18

5.46

3.

Neutral hydrolysis, 24 hrs

0.72

0.95

4.

Oxidative degradation, 24 hrs

4.16

4.21

5.

Thermal degradation, 3 days

2.37

2.60

6.

Photo degradation, 24 hrs

1.51

1.83

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Figure 6: Optimized chromatogram

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Figure 7: plot of Metformin

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Figure 8: Linearity plot of Ertugliflozin Accuracy

Method validation

After optimization, the developed method was validated as per ICH Q2R1 guidelines requirements, and then the method was used for simultaneous determination of Metformin and Ertugliflozin

System Suitability

After injecting six replicate samples of Metformin and Ertugliflozin into the system, different parameters like retention time, area, theoretical plates, SD and %RSD were calculated. All the parameters were within the limits as per guidelines. Results were shown in Table 3.

Linearity

The regression equation obtained was y = 25136x + 8353 and y = 16110x + 2305 for Metformin and Ertugliflozin respectively. r2 (Correlation co-efficient) was found to be 0.999 for Metformin and Ertugliflozin . Results were shown in Figure 8; Figure 7 and Table 4. The accuracy of Metformin and Ertugliflozin showed good recovery, and the results were within the limit, i.e 99-102%W/V. Accuracy results are given in Table 5.

Precision

The % RSD of intraday and inter-day precisionswere less than 2 for Metformin and Ertugliflozin. The results were within limits as per the guidelines and shown in Table 6.

Limit of Detection (LOD) and Limit of Quantitation (LOQ)

LOD and LOQ were determined according to signal to noise ratio method. The LOD obtained for Metformin and Ertugliflozin were found to be 59 and 3.7, respectively. LOQ obtained for Metformin and Ertugliflozin were 77.6 and 5.2, respectively.

Robustness

To determine the robustness of the method, need to alter the parameters like column temperature, flow rate and % organic concentration. Studies were performed by changing the flow rate (+ 2 ml/min), column temperature (+5oC) and mobile phase ratio. The % RSD of Metformin and Ertugliflozin were calculated and found that the results were within limits.

Stress Studies

Under accelerated conditions, stress studies were conducted. One significant degradation product was found in acid and base hydrolysis. There are no degradation products were found in of neutral hydrolysis, peroxide hydrolysis, photodegradation and thermal degradation conditions. From the obtained results degradation percentage of the drug was found to be less than 10%, and the degradation product peak not affecting the system suitability of Metformin and Ertugliflozin. Results were shown in Table 7.

Conclusions

Using Design Expert® software, a robust QbD method was developed for the simultaneous estimation of Metformin and Ertugliflozin. Method validation was performed as per the ICH guidelines, and the obtained results were within the limit. This stability-indicating method can able to separate drug substance from the degradation products.

Acknowledgement

The authors wish to thank the management of the Vels Institute of Science, Technology and Advanced Studies (VISTAS) for supporting this work. The authors wish to thank Spectrum labs for providing facilities to conduct this work. The authors wish to acknowledge the Spectrum labs for providing the samples for their research. They would also like to thank colleagues for their support to complete research work.

Conflict of Interest

The authors declare that they have no conflict of interest for this study.

Funding Support

The authors declare that they have no funding support for this study.