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  • Simple Cost-Effective Stability Indicating HPLC Method For Simultaneous Estimation of Linagliptin and Dapagliflozin in Marketed Formulation

  • Department of Pharmacy Sun institute of pharmaceutical science and Research (SIPER), Lahar Bhind, (M.P), India 477445.

Abstract

The development of a robust and reliable RP-HPLC method for the simultaneous quantification of Linagliptin (LGT) and Dapagliflozin (DGF) required systematic optimization of mobile phase composition, chromatographic conditions, and instrumental parameters to achieve ideal resolution, peak symmetry, reproducibility, and sensitivity. Initially, several combinations of aqueous buffer systems and organic solvents were screened in varying proportions to determine a suitable mobile phase that would ensure selective separation of both analytes. Different ratios of methanol, acetonitrile, phosphate buffers, and acidic modifiers such as orthophosphoric acid (OPA) were evaluated. However, many of these initial trials resulted in overlapping peaks, broad peak shapes, excessive tailing, or unsatisfactory retention characteristics. The difficulty in optimizing the method stemmed from the structural and physicochemical differences between LGT and DGF; Linagliptin is more polar and elutes earlier under reversed-phase conditions, whereas Dapagliflozin is comparatively less polar and requires stronger elution strength. After extensive method development trials, the mobile phase comprising 25 mM potassium dihydrogen phosphate (KH?PO?) buffer and acetonitrile in the ratio of 22:78 v/v, with the buffer pH adjusted to 3.5 using orthophosphoric acid (OPA), was found to be the most effective in providing well-resolved, sharp, and symmetrical peaks for both drugs. A variation of ±10% in the ratio was also tested to evaluate robustness, and results consistently demonstrated that the 22:78 v/v composition offered optimal resolution and peak characteristics without significant deviation in retention time or peak area. This mobile phase resulted in shorter run times, improved peak shapes, and enhanced reproducibility, making it ideal for routine analysis. Before use, the mobile phase was filtered through a 0.45 ?m membrane filter to eliminate particulate matter and degassed using sonication to prevent bubble formation and baseline noise during chromatographic runs.

Keywords

Linagliptin, Dapagliflozin, HPLC, Simultaneous Estimation, RP-HPLC Method

Introduction

Analytical chemistry

It is the science of obtaining, processing, and communicating information about the composition and structure of matter. Like using mass spectrometry to measure charged particles to determine the composition of a substance. In analytical chemistry, we often determine the amount of chemical species from mass measurements.

Analytical chemistry can be divided into two main types:

            • Qualitative analysis (identification): used to yield information about identity of species or functional groups of given sample (an analyte can be identified)
            • Quantitative analysis (how much is present): provides numerical information of analyte (quantitate the exact amount or concentration)

Quantitative analysis can be divided into:

            • Gravimetric methods (measurement in mass): the mass of the analyte or some compound chemically related to it is determined.
            • Volumetric methods (measurement in volume): the volume? of a solution containing sufficient reagent to react completely with the analyte is measured.
            • Electroanalytical  methods:  electrical  properties  such  as?  potential,  current

,resistance, and quantity of electrical charge are measured.

            • Spectroscopic methods: the interaction between? electromagnetic radiation and analyte atoms or molecules or the emission of radiation by analytes is explored.

Steps in analytical analysis

  1. Define the problem: This means that the analyst should know what is the information required ,the type and amount of sample, the precision and accuracy of the result , the analytical method which can be used to achieve these results, etc.
    • Precision: describes the reproducibility of a result.
    • Accuracy: describes how close a measured value is to the true value.
  2. Obtain a representative sample: A chemical analysis is usually performed on only a small portion of the materiel to be characterized. This portion need to have the same characteristics of the whole sample in order to obtain the actual results.
  3. Sample preparation: Most analytical methods requires a liquid form of the sample rather than solid form. Therefore, samples need to be dissolved quantitatively and may also be diluted to the concentration range of the method if they are present in a high concentration.
  4. Chemical separation: The sample may contains solutes which interfere with the determination of the analyte. If this is the case, the analyte should be separated from the sample matrix by an acceptable procedure
  5. Perform the measurement: This implies conducting the analytical procedure and collecting the required data.
  6. Calculation: The final step in the analytical process is to perform the calculation and report the result in an acceptable manner

Literature Review: - Tallam et al., (2023) work was used to detect and measure biomolecules and metabolites in human and animal tissues using bimolecular methods. The biosanalinity method is effective at determining the number of drugs and metabolites in a biological system. New methods, the validation of existing procedures, and the analysis of samples are one of the prominent tasks for bioanalysis.

Unnisa et al., (2022) formulated controlled-release lipid nanocarriers by integrating them into lipid nanocarriers. The nanoparticle size and lipid utilized for formulation help to regulate the release of pharmaceuticals over some time. Dapagliflozin-loaded nanoparticles were formulated by hot homogenization followed by ultra-sonication. The morphology and physicochemical properties of dapagliflozin-SLNs have been characterized using various techniques.

Kazi et al., (2021) developed self-nanoemulsifying drug delivery systems (SNEDDS) using naturally obtained bioactive medium-chain/long-chain triglycerides oil, mixed glycerides and nonionic surfactants, and droplet size was measured followed by the test for antioxidant activities. Equilibrium solubility and dynamic dispersion experiments were conducted to achieve the maximum drug loading.

Bhavyasri and Surekha, (2020) developed a new, simple, precise, accurate spectroscopic method was developed and validated for estimation of Dapagliflozin and Metformin in combined pharmaceutical dosage form. The UV spectrophotometric estimation of Dapagliflozin and Metformin was determined using the Q absorption ratio method at 222 nm and 232 nm respectively.

Gupta et al., (2020) worked a simple and sensitive reverse phase high performance liquid chromatography (RP-HPLC) method for quantitative evaluation of hydrazinocurcumin in plasma and various organs of rats including liver, kidneys, brain, heart, lungs and spleen was developed. Ultra violet (UV) detection of hydrazinocurcumin and internal standard was carried out in dual-wavelength mode at 332 nm and 380 nm, respectively.

Experimental Work and Result: -

Simple cost-effective method development of Linagliptin (LGT) and Dapagliflozin (DGF) using RP-HPLC

Selection of mobile phase

To optimize the chromatographic separation of Linagliptin and Dapagliflozin in the fixed- dose formulation, several mobile phase combinations in varying ratios were initially evaluated. Based on system suitability parameters including retention time (RT), tailing factor, number of theoretical plates, and HETP the mobile phase consisting of 25 mM KH?PO? and acetonitrile (pH adjusted to 3.5 with OPA) in the ratio of 22:78 v/v was found to be the most effective for achieving sharp, symmetric, and well-resolved peaks for both drugs.

Before use, the selected mobile phase was filtered through a 0.45 µm membrane filter to eliminate particulate matter and subsequently degassed by sonication to ensure baseline stability. The analysis was carried out at a flow rate of 1.0 ml/min.

Table 1: Selection of mobile phase

25mM KH2PO4: Acetonitrile (ph adjust 3.5 with OPA)

22: 78 v/v

Most suitable

Linearity and Calibration Graph

Table 2: Linearity of LGT

Standard

Concentration (µg/ml)

Area Under Curve (AUC)

Mean

Rep-1

Rep-2

Rep-3

Rep-4

Rep-5

Rep-6

 

1

224.845

226.784

235.156

227.452

231.684

235.879

230.300

2

442.685

449.315

454.798

437.542

450.122

447.968

447.072

3

659.874

667.218

650.684

658.312

646.587

672.843

659.253

4

884.963

885.742

890.568

894.684

877.945

879.384

885.548

5

1093.452

1089.874

1084.657

1095.786

1079.865

1091.652

1089.881

Figure 1: Calibration Curve of LGT

Figure 2: Chromatogram of LGT

Table 3: Linearity of DGF

Standard

Conc. (µg/ml)

Area Under Curve (AUC)

Mean

 

Rep-1

Rep-2

Rep-3

Rep-4

Rep-5

Rep-6

 

5

790.265

785.432

781.564

776.845

779.624

767.458

780.865

10

1556.874

1528.436

1522.985

1532.478

1547.215

1578.968

1544.826

15

2376.542

2352.864

2346.587

2341.478

2352.698

2342.985

2352.526

20

3161.745

3156.894

3146.325

3141.856

3140.985

3142.658

3148.744

25

3952.475

3946.352

3942.685

3953.864

3948.256

3941.795

3947.905

Figure 3: Calibration Curve of DGF

Figure 4: Chromatogram of DGF

CONCLUSION: - The development of a robust and reliable RP-HPLC method for the simultaneous quantification of Linagliptin (LGT) and Dapagliflozin (DGF) required systematic optimization of mobile phase composition, chromatographic conditions, and instrumental parameters to achieve ideal resolution, peak symmetry, reproducibility, and sensitivity. Initially, several combinations of aqueous buffer systems and organic solvents were screened in varying proportions to determine a suitable mobile phase that would ensure selective separation of both analytes. Different ratios of methanol, acetonitrile, phosphate buffers, and acidic modifiers such as orthophosphoric acid (OPA) were evaluated. However, many of these initial trials resulted in overlapping peaks, broad peak shapes, excessive tailing, or unsatisfactory retention characteristics. The difficulty in optimizing the method stemmed from the structural and physicochemical differences between LGT and DGF; Linagliptin is more polar and elutes earlier under reversed-phase conditions, whereas Dapagliflozin is comparatively less polar and requires stronger elution strength.

Overall, the optimized RP-HPLC method successfully fulfilled all criteria for a validated analytical method, demonstrating excellent peak resolution, retention reproducibility, system suitability, and analytical sensitivity for simultaneous estimation of Linagliptin and Dapagliflozin. The use of a C18 stationary phase, buffer–organic mobile phase, and UV detection at 254 nm resulted in an efficient, reliable, and fast method suitable for analytical quality control, routine pharmaceutical analysis, and stability studies. The carefully optimized chromatographic conditions ensure that the method can be confidently employed in research, pharmaceutical industries, and regulatory environments for accurate estimation of these antidiabetic agents.

REFERENCES

  1. Chauhan A, Mittu B, Chauhan P. Analytical method development and validation: a concise review. J Anal Bioanal Tech. 2015; 6(1): 1-5.
  2. Ravisankar P, Gowthami S, Rao GD. A review on analytical method development. Indian J Res Pharm Biotech. 2014; 2(3): 1183.
  3. Lavanya G, Sunil M, Eswarudu MM, Eswaraiah MC, Harisudha K, Spandana BN. Analytical method validation: An updated review. Int J Pharm Sci Res. 2013; 4(4): 1280.
  4. Vidushi Y, Meenakshi B. A review on HPLC method development and validation. Res J Life Sci. 2017; 2(6): 178.
  5. Rina Ramole, Baile Mohini, Jain Ashish. A Review: Analytical Method Development and Validation. Sys Rev Pharm 2021; 12(8): 450-454.
  6. Chawla G, Chaudhary KK.A review of HPLC technique covering its pharmaceutical, environmental, forensic, clinical and other applications. Int J Pharm Chem Anal. 2019; 6(2): 27-39.
  7. Ravisankar P, Navya CN, Pravallika D, Sri DN. A review on step by-step analytical method validation. IOSR J Pharm. 2015; 5(10): 7-19.
  8. McPolin O. An introduction to HPLC for pharmaceutical analysis. Lulu. 2009
  9. Malviya R, Bansal V, Pal OP, Sharma PK. High performance liquid chromatography: a short review. J Glob Pharma Technol. 2010; 2(5): 22-26.
  10. Jena AK. HPLC: highly accessible instrument in pharmaceutical industry for effective method development. Pharm Anal Acta. 2011; 3.
  11. Hamilton RJ, Sewell PA. Introduction to high performance liquid chromatography. Springer. 1982; 1-12.
  12. Badgujar DC, et al. Pathogenicity of mutations discovered in BRCA1 BRCT domains is characterized by destabilizing the hydrophobic interactions. J Cancer SciTher. 2012;4:386-393.
  13. Lu M, et al. Hydrophobic fractionation enhances novel protein detection by mass spectrometry in triple negative breast cancer. J Proteomics Bioinform. 2010; 3:029- 038.
  14. Pandarinath P, et al. A Python based hydrophilicity plot to assess the exposed and buried regions of a protein. J Proteomics Bioinform. 2011;4:145-146.

Reference

  1. Chauhan A, Mittu B, Chauhan P. Analytical method development and validation: a concise review. J Anal Bioanal Tech. 2015; 6(1): 1-5.
  2. Ravisankar P, Gowthami S, Rao GD. A review on analytical method development. Indian J Res Pharm Biotech. 2014; 2(3): 1183.
  3. Lavanya G, Sunil M, Eswarudu MM, Eswaraiah MC, Harisudha K, Spandana BN. Analytical method validation: An updated review. Int J Pharm Sci Res. 2013; 4(4): 1280.
  4. Vidushi Y, Meenakshi B. A review on HPLC method development and validation. Res J Life Sci. 2017; 2(6): 178.
  5. Rina Ramole, Baile Mohini, Jain Ashish. A Review: Analytical Method Development and Validation. Sys Rev Pharm 2021; 12(8): 450-454.
  6. Chawla G, Chaudhary KK.A review of HPLC technique covering its pharmaceutical, environmental, forensic, clinical and other applications. Int J Pharm Chem Anal. 2019; 6(2): 27-39.
  7. Ravisankar P, Navya CN, Pravallika D, Sri DN. A review on step by-step analytical method validation. IOSR J Pharm. 2015; 5(10): 7-19.
  8. McPolin O. An introduction to HPLC for pharmaceutical analysis. Lulu. 2009
  9. Malviya R, Bansal V, Pal OP, Sharma PK. High performance liquid chromatography: a short review. J Glob Pharma Technol. 2010; 2(5): 22-26.
  10. Jena AK. HPLC: highly accessible instrument in pharmaceutical industry for effective method development. Pharm Anal Acta. 2011; 3.
  11. Hamilton RJ, Sewell PA. Introduction to high performance liquid chromatography. Springer. 1982; 1-12.
  12. Badgujar DC, et al. Pathogenicity of mutations discovered in BRCA1 BRCT domains is characterized by destabilizing the hydrophobic interactions. J Cancer SciTher. 2012;4:386-393.
  13. Lu M, et al. Hydrophobic fractionation enhances novel protein detection by mass spectrometry in triple negative breast cancer. J Proteomics Bioinform. 2010; 3:029- 038.
  14. Pandarinath P, et al. A Python based hydrophilicity plot to assess the exposed and buried regions of a protein. J Proteomics Bioinform. 2011;4:145-146.

Photo
Prashant Nigam
Corresponding author

Department of Pharmacy Sun institute of pharmaceutical science and Research (SIPER), Lahar Bhind, (M.P), India 477445.

Photo
Dr. Avinash Kondalkar
Co-author

Department of Pharmacy Sun institute of pharmaceutical science and Research (SIPER), Lahar Bhind, (M.P), India 477445.

Photo
Shankar
Co-author

Department of Pharmacy Sun institute of pharmaceutical science and Research (SIPER), Lahar Bhind, (M.P), India 477445.

Photo
Muraree Lal
Co-author

Department of Pharmacy Sun institute of pharmaceutical science and Research (SIPER), Lahar Bhind, (M.P), India 477445.

Prashant Nigam*, Dr. Avinash Kondalkar, Muraree Lal, Shankar, Simple Cost-Effective Stability Indicating HPLC Method For Simultaneous Estimation of Linagliptin and Dapagliflozin in Marketed Formulation, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 12, 1362-1368 https://doi.org/10.5281/zenodo.17853522

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