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Abstract

Aim: Daprodustat in pharmaceutical dosage forms has been previously analyzed quantitatively using reverse-phase high-performance liquid chromatography (RP-HPLC) approach that was easy to use, quick, accurate, sensitive, and repeatable. Materials and methods: Daprodustat was separated chromatographically using a Waters Alliance e2695 system and a Waters X-Terra RP-18 column (150x4.6mm, 3.5µ). The mobile phase was made up of 50% v/v ACN and HSA pH-2.5/OPA. Photodiode array detector was operated at room temperature is utilized to detect absorption at 235 nanometers while the flowrate was fixed at 1.0 ml/minute. Results: For Daprodustat, it was guaranteed that the theoretical plate count and tailing factor would be at least 2000 and 2, respectively. The percentage of standard deviation for peak regions consistently below 2.0 in all measurements. Conclusion: The proposed approach was validated in compliance with ICH requirements, and it was found to be an easy-to-use, reasonably priced, appropriate, precise, accurate, and reliable tool for Daprodustat quantitative evaluation.

Keywords

Daprodustat, HPLC, Method development, Method validation, Acetonitrile.

Introduction

The separation of non-volatile species or compounds that are thermally sensitive was made easier by the use of HPLC, a type of liquid chromatography, for the qualification and analysis of mixtures of chemical and synthetic chemicals.1 A wide range of materials, including proteins, nucleic acids, amino acids, hydrocarbons, sugars, terpenoids, pesticides, steroids, antibiotics, metals, organic species, and a number of inorganic chemicals, are separated using this adaptable approach.2 Reverse-Phase High-Performance Liquid Chromatography (RP-HPLC) technique was used to separate molecules according to how hydrophobic they were.3 In RP-HPLC, an organic solvent and water mixture makes up the mobile phase, whereas the stationary phase has hydrophobic characteristics.4 Greater hydrophobicity molecules have a tendency to bind to the phase that is stationary, from which they are eluted by increasing the concentration of organic solvent5 Being an inhibitor of hypoxia – related factor prolyl hydroxylase (HIF PH), daprodustat was prescribed to treat anemia caused by chronic renal disease in people receiving dialysis for a period of minimum four months.6 It worked by raising a naturally occurring chemical in the body that stimulates the creation of red blood cells.7 When compared to other treatments, oral administration of Daprodustat had certain benefits and drawbacks.8

Experimental Methodologies

MATERIALS & METHODS

The primary HPLC system was the Alliance model manufactured by waters, renowned for its precision and reliability in separating and analyzing compounds within a liquid sample.[9] Supporting equipment included a pH meter by Eutech for monitoring the acidity or alkalinity of solutions, UV/VIS spectrophotometer, specifically the UV-1700, for qualifying the absorbance of substances at various wavelengths. A Unichrome UCA 701 ultrasonic bath facilitated sample preparation through rapid and thorough mixing and degassing, enhancing experimental reproducibility. Lastly, an Isocratic model pump was utilized for maintaining constant solvent flow rates during chromatographic separation processes.10

Reagents & Chemicals

The essential chemicals used in HPLC methodology included HPLC grade acetonitrile(ACN) and water (Milli Q), Hexane Sulfonic acid, and Ortho Phosphoric acid, all crucial for chromatographic separations. These chemicals were sourced from reputable manufacturers, ensuring high-quality standards and analytical reliability.

Drug profile 11

Figure 1: Molecular Structure of Daprodustat.

IUPAC Name: 2-[(1, 3-dicyclohexyl-2, 4, 6-trioxo-1, 3-diazinane-5-carbonyl) amino] acetic acid.

Molecular Equation: - C19 H27 N3 O6

Mol. wt.: 393.440 gram/mole.

Method Development

Selection of wavelength (λmax)

The drug estimation process relied on the utilization of the isobestic wavelength, a critical parameter in determining drug concentration. The wavelength at which the molar absorption factor is constant for compounds that can merge is known as the isobestic point. Hence, this specific wavelength was employed to ensure the precise estimation of the drug. The maximum absorption wavelength of the drug solution in a blend of Acetonitrile and Hexane Sulphonic Acid (HSA) at pH 2.5/OPA (50:50) served as the reference blank.The absorption curve, in particular, clearly showed an isobestic spot at 235 nm. As a result, 235-nm became the standard wavelength for the HPLC chromatographic method's sensor.Molecular structure can be determined from the Fig:1

Selection of chromatographic method

During the chromatographic condition’s selection phase, numerous trials were conducted, and the most effective trial was singled out for method optimization. The specific conditions were meticulously recorded and summarized in Table-1. In the mobile phase, Acetonitrile was combined with Hexane Sulphonic Acid (HSA) at pH 2.5/OPA (50:50). For separation purposes, the Waters X-Terra RP-18 column (150mm×3.5µm) was deemed optimal. The detection wavelength was set to 235 nm, with an injection volume of 10 µl, a flow rate of 1ml/min, and a total run time of 4 minutes.12 The peak corresponding to Daprodustat manifested at 2.627 minutes, exhibiting a peak area of 2942254 and a tailing factor of 1.01. This particular trial underwent optimization to ensure precision and accuracy in the analysis.13

Method selection criteria

Utilizing a trial and error approach, the mobile phase consisted of Acetonitrile (ACN) combined with Hexane Sulphonic Acid (HSA) at pH 2.5/OPA (50:50). The chromatographic analysis was performed using a Waters X-Terra RP-18 column (150 mm × 3.5 µm). Detection was performed at a wavelength of 235 nm, using an injection volume of 10 µl and a flow rate of 1ml/min. Four minutes was set as the optimal run time. Within this trial, the Daprodustat peak emerged at 2.627 minutes, displaying a peak area of 2942254 and a tailing factor of 1.01. The Daprodustat peak was visually identified in Figure 5.

Setting up the mobile phase

The movable phase composition involved a meticulous blending of HSA at pH 2.5/OPA and ACN, adhering to a precise ratio of 30:70.14 Subsequently, it undergone filtration using a 0.45μ membrane filter to effectively eliminate any impurities that could potentially compromise the integrity of the final chromatogram.15

Preparing the diluent

In the experimental setup, the obtained mobile phase was used as diluent for the standard and sample solutions.

Establishing a standard solution

A precise six mg of the Daprodustat working standard was first weighed and then transferred to a 10 ml volumetric flask which is dry and was cleaned.16 After adding the diluent, the mixture was subjected to ultrasound until total dissolution was attained. The stock solution was then made by adjusting the volume to the appropriate level using the same solvent.17 The prepared stock solution was then pipetted out into another volumetric flask with a capacity of 10 ml in a volume of 1 ml. Dilution was then performed up to the mark using diluent, yielding a dosage of 60 ppm of Daprodustat.

Preparation of sample solution

A Daprodustat sample weighing 91 mg was accurately measured and placed into a 10 mL dry volumetric flask for cleaning.To fully dissolve the material, diluent was added, and then centrifugation and sonication were used for 30 minutes.18To make the stock solution, the volume was precisely measured using the same solvent and filtered using an injection filter with a 0.45 µ opening.19 The 10 ml volumetric flask was filled with 1 ml of this solution, which was then diluted with diluent to produce a 60 ppm dose of daprodustat.20

Procedure

The chromatographic system was stocked with 10 µL of the standard and sample, and the regions of the sample and standard peaks were measured.The location of the Daprodustat peak was established. The Percentage Assay was then computed using the relevant formulas.The ideal conditions were given in the Table:1

Problem solving

Percentage Assay =

WS = Working Standard

Verification of developed method of Daprodustat by RP-HPLC

The analytical procedure underwent validation for several key parameters including whether the system is suitable, linear, accurate, precise, repeatable, and robust is an important consideration.

RESULTS

System Suitability

In accordance with the standards established by ICH, all system suitability criteria were determined to be satisfactory, meaning they fell within the specified range. Suitability parameters were mentioned in Table:2

Table 1: Ideal Conditions for Chromatography

Specifications

Observation

Equipment used

waters Alliances e-2695

Injection volume

10µl

Mobile Phase

ACN and HAS pH-2.5/OPA (50:50)

The column

Waters X-TerraRP-18(150mm×4.6, 3.5µm)

Detection Wavelength

235nm

Flowrate

1 ml/minute

Running time

4 minutes

Temp

An ambient (25?C)

Separation mode

Isocratic type

Table 2: System suitable specifications for Daprodustat.

S. No

Specifications

Daprodustat

1

Tailing factor

1.01

2

%RSD of area

0.23

3

Plate count

10527

4

Retention time

2.627

Figure 2: Chromatogram of Standard.

 Specificity

How well the analytical method measured the target analyte in the absence of blank and known contaminants was used to determine the method's specificity. For this purpose, chromatograms of several types were recorded and examined, including blank Fig:3 , standard Fig:2 , and sample chromatograms Fig:4. The specificity of the drug's reaction was confirmed Fig:5 when it was noted that the blank's chromatogram did not respond at the drug retention times.

Figure 3: Blank graph chromatogram.

Figure 4:Placebo graph chromatogram.

Figure 5: Optimized Chromatogram/Colour Spectrum.

Linearity

Below are the concentration levels at which Daprodustat was shown to have a linear response. It was confirmed that it fulfilled the specified requirements for approval. Verify the Table 3 for the linearity results

Table 3: Results of Linearity for Daprodustat

Linearity

Stock

Solution (ml)

Final dilution

Ml

Daprodustat

Concentration(µg/mL)

Concentration(µg/mL)

Level 1 (25 %)

0.25

10

15.00

743896

Level 2 (50 %)

0.5

10

30.00

1489512

Level 3 (75 %)

0.75

10

45.00

2231546

Level 4 (100%)

1.0

10

60.00

2942473

Level 5 (125%)

1.25

10

75.00

3687451

Level 6 (150%)

1.5

10

90.00

4347458

Regression equation

y=48529.63x + 22214.61

Slope

48529.63

Intercept

22214.61

R2

 

0.99987

Range

Analytical precision, accuracy, and linearity were demonstrated within the required levels of the analyte, which were actually defined as the interval containing both the upper and lower levels. The outcome should be a correlation coefficient of at least 0.999.

System Accuracy

Table 4: System Accuracy results of Daprodustat

%Conc.

(at each level)

Area

Amount

Added(mg)

Amount

Found(mg)

%Recovery

Mean

%Recovery

 

50%

1455660

3.0

2.97

99.1

 

100.3

1477179

3.0

3.02

100.6

1490042

3.0

3.04

101.3

 

100%

2932150

6.0

5.99

99.8

 

100.3

2960631

6.0

6.05

100.8

2940249

6.0

6.01

100.2

 

150%

4372871

9.0

8.93

99.2

 

99.5

4386520

9.0

8.96

99.6

4392616

9.0

8.97

99.7

Precision

By evaluating a homogeneous sample from a single batch six times to assure consistent results, the recurrence of an analytical method under normal circumstances was tested for, which is known as precision.Additionally, six injections of solutions containing 60 ppm of Daprodustat were used to confirm the accuracy of the device Refer to the Table 5 for details

Table 5: Precision for Daprodustat

Sample No.

Area of Daprodustat

Sample 1

2947847

Sample 2

2937995

Sample 3

2913999

Sample 4

2927151

Sample 5

2908482

Sample 6

2921710

Average

2926197

Standard deviation

14775.460

% RSD

0.50

Robustness

We purposefully changed the mobile phase composition, flow rate and temperature variation as part of the Robustness investigation to see how these affected the approach values of robustness were given in Table 6.

Table 6: Robustness

 

Parameters

Daprodustat

Condition

Retention time (min)

Peak area value

Tailing value

Plate count

Flow rate

Change

(mL/min)

Less flow (0.9ml)

2.905

2730105

1.07

10634

Actual (1ml)

2.627

2942254

1.01

10527

More flow (1.1ml)

2.385

3022279

0.96

10441

Organic phase change

Less Org (45:55)

3.044

2559870

1.09

10689

Actual (50:50)

2.623

2928187

1.05

10513

More Org (55:45)

2.456

3238129

1.02

10472

Limit Of Detection (Lod) And Limit of Quantification (LOQ):

The limit of detection (LOD) and limit of quantification (LOQ) for the drug were determined according to the International Conference on Harmonization (ICH) guidelines using the following equations:

LOQ=3.3×σS

 

LOQ=3.3×σS

The limit of detection (LOD) for Daprodustat was found to be 0.18 µg/mL, while the limit of quantification (LOQ) was established at 0.6 µg/mL the results can be verified by Table 7.

Table 7: Sensitivity parameters (LOD and LOQ) by HPLC

Drug Name

LOD (µG/ml)

S / N

LOQ(µg/ml)

S/N

Daprodustat

0.18

3

0.60

10

DISCUSSION

With 10527 plates and a tailing factor of 1.01, the retention time was found to be 2.627. Furthermore, a %RSD of 0.23 was recorded. It was shown that the retention durations of Daprodustat were 2.627 minutes. The blank and placebo samples didn’t show any kind of interference peaks in the retention times that corresponded to the medicines in the technique. So, it was determined that the procedure was specific. Careful preparation of three distinct levels of accuracy tests was done using the conventional addition method. For each accuracy level, three injections of Daprodustat were given, and the mean percentage recovery was identified to be 100.0%. The %Recovery for each level was validated to fall within the range of 98.0 to 102.0%. The % RSD for the absorbance of 6 replicate injections was assessed, with a requirement not to exceed 2% in accordance with the established criteria. Flow rate was varied between 0.9 ml /min and 1.1 ml /min. Using the standard flow rate and the altered flow rates, standard solutions containing 60ppm of Daprodustat were produced and evaluated. Flow rate fluctuation had a major impact on the approach, according to the data. Nevertheless, it was determined that the approach maintained its robustness even when the flow rate varied by around 10%. Additionally, we looked at how the organic phase ratio varied. A variety of mobile phase ratios were tested with standard solutions of 60 ppm Daprodustat. For Daprodustat, the LOD was determined to be 0.18 µg /mL with a signal-to-noise ratio (S/N) of value 3, while LOQ was found to be 0.60 µg /mL with an signal-to-noise ratio of 10.

CONCLUSION

A simple, quick, accurate, precise, resilient, and cost-effective HPLC method was designed for the purpose of estimating the chosen medication. In addition to being cheap, dependable, sensitive, and requiring little time to prepare, the mobile phase and solvents were also easy to use. It seems that the formulation excipients did not interfere with the estimating process, since the sample recoveries were in good agreement with their labeled claims. As a result, this approach is considered appropriate for the regular study of the chosen medications in laboratory environments.

REFERENCES

  1. Xu F, Zou L, Liu Y, Zhang Z, Ong CN. Enhancement of the capabilities of liquid chromatography–mass spectrometry with derivatization: general principles and applications. Mass Spectrom Rev. 2011 Nov;30(6):1143-72.
  2. Fried B, Sherma B. Thin-Layer Chromatography, Revised and Expanded. CRC Press; 1999 Jan 4.
  3. Žuvela P, Skoczylas M, Jay Liu J, Ba?czek T, Kaliszan R, Wong MW, Buszewski B. Column characterization and selection systems in reversed-phase high-performance liquid chromatography. Chem Rev. 2019 Jan 3;119(6):3674-729.
  4. Djaji? N, Krmar J, Rmandi? M, Raševi? M, Otaševi? B, Ze?evi? M, et al. Modified aqueous mobile phases: A way to improve retention behavior of active pharmaceutical compounds and their impurities in liquid chromatography. J Chromatogr Open. 2022 Nov 1;2:100023.
  5. Alpert AJ. Hydrophilic-interaction chromatography for the separation of peptides, nucleic acids, and other polar compounds. J Chromatogr A. 1990 Jan 19;499:177-96.
  6. Haase VH. Hypoxia-inducible factor–prolyl hydroxylase inhibitors in the treatment of anemia of chronic kidney disease. Kidney Int Suppl. 2021 Apr 1;11(1):8-25.
  7. Gupta N, Wish JB. Management of anemia in peritoneal dialysis patients. In: Nolph and Gokal's Textbook of Peritoneal Dialysis. Cham: Springer International Publishing; 2022 Jun 7. p. 1-21.
  8. Singh AK, Carroll K, Perkovic V, Solomon S, Jha V, Johansen KL, et al. Daprodustat for the treatment of anemia in patients undergoing dialysis. N Engl J Med. 2021 Dec 16;385(25):2325-35.
  9. Zhang L, Hu Y, Galella E, Tomasella FP, Fish WP. Separation of atropisomers by chiral liquid chromatography and thermodynamic analysis of separation mechanism. J Pharm Anal. 2017 Jun 1;7(3):156-62.
  10. Enmark M, Glenne E, Le?ko M, Weinmann AL, Leek T, Kaczmarski K, et al. Investigation of robustness for supercritical fluid chromatography separation of peptides: isocratic vs gradient mode. J Chromatogr A. 2018 Sep 21;1568:177-87.
  11. Ishii T, Tanaka T, Nangaku M. Profile of daprodustat in the treatment of renal anemia due to chronic kidney disease. Ther Clin Risk Manag. 2021 Feb 17;17:155-63.
  12. Desai AM, Andreae M, Mullen DG, Holl MM, Baker Jr JR. Acetonitrile shortage: Use of isopropanol as an alternative elution system for ultra/high performance liquid chromatography. Anal Methods. 2011;3(1):56-8.
  13. Thekkudan DF, Rutan SC, Carr PW. A study of the precision and accuracy of peak quantification in comprehensive two-dimensional liquid chromatography in time. J Chromatogr A. 2010 Jun 25;1217(26):4313-27.
  14. Song Z, Lu Y, Zhang X, Wang H, Han J, Dong C. Novel curcumin-loaded human serum albumin nanoparticles surface functionalized with folate: characterization and in vitro/vivo evaluation. Drug Des Devel Ther. 2016 Aug 17;10:2643-9.
  15. Puah PY, Lee DJ, Mak KH, Ang HJ, Chen HC, Moh PY, et al. Extractable impurities from fluoropolymer-based membrane filters–interference in high-throughput, untargeted analysis. RSC Adv. 2019;9(55):31918-27.
  16. Dhillon S. Daprodustat: first approval. Drugs. 2020 Sep;80(14):1491-7.
  17. Jahan MS, Islam MJ, Begum R, Kayesh R, Rahman A. A study of method development, validation, and forced degradation for simultaneous quantification of paracetamol and ibuprofen in pharmaceutical dosage form by RP-HPLC method. Anal Chem Insights. 2014;9:75-82.
  18. Mahar KM, Caltabiano S, Andrews S, Ramanjineyulu B, Chen L, Young G, et al. Clinical pharmacokinetics of daprodustat: results of an absorption, distribution, and excretion study with intravenous microtracer and concomitant oral doses for bioavailability determination. Clin Pharmacol Drug Dev. 2021 Dec;10(12):1419-31.
  19. Devi DA, Bhavani PG. Development and validation of stability indicating UPLC method for the simultaneous estimation of triamterene and hydrochlorothiazide in combined dosage forms using quality by design approach. Futur J Pharm Sci. 2023 Feb 1;9(1):9.
  20. Mahar KM, Shaddinger BC, Ramanjineyulu B, Andrews S, Caltabiano S, Lindsay AC, et al. Pharmacokinetics of daprodustat and metabolites in individuals with normal and impaired hepatic function. Clin Pharmacol Drug Dev. 2022 May;11(5):562-75.

Reference

  1. Xu F, Zou L, Liu Y, Zhang Z, Ong CN. Enhancement of the capabilities of liquid chromatography–mass spectrometry with derivatization: general principles and applications. Mass Spectrom Rev. 2011 Nov;30(6):1143-72.
  2. Fried B, Sherma B. Thin-Layer Chromatography, Revised and Expanded. CRC Press; 1999 Jan 4.
  3. Žuvela P, Skoczylas M, Jay Liu J, Ba?czek T, Kaliszan R, Wong MW, Buszewski B. Column characterization and selection systems in reversed-phase high-performance liquid chromatography. Chem Rev. 2019 Jan 3;119(6):3674-729.
  4. Djaji? N, Krmar J, Rmandi? M, Raševi? M, Otaševi? B, Ze?evi? M, et al. Modified aqueous mobile phases: A way to improve retention behavior of active pharmaceutical compounds and their impurities in liquid chromatography. J Chromatogr Open. 2022 Nov 1;2:100023.
  5. Alpert AJ. Hydrophilic-interaction chromatography for the separation of peptides, nucleic acids, and other polar compounds. J Chromatogr A. 1990 Jan 19;499:177-96.
  6. Haase VH. Hypoxia-inducible factor–prolyl hydroxylase inhibitors in the treatment of anemia of chronic kidney disease. Kidney Int Suppl. 2021 Apr 1;11(1):8-25.
  7. Gupta N, Wish JB. Management of anemia in peritoneal dialysis patients. In: Nolph and Gokal's Textbook of Peritoneal Dialysis. Cham: Springer International Publishing; 2022 Jun 7. p. 1-21.
  8. Singh AK, Carroll K, Perkovic V, Solomon S, Jha V, Johansen KL, et al. Daprodustat for the treatment of anemia in patients undergoing dialysis. N Engl J Med. 2021 Dec 16;385(25):2325-35.
  9. Zhang L, Hu Y, Galella E, Tomasella FP, Fish WP. Separation of atropisomers by chiral liquid chromatography and thermodynamic analysis of separation mechanism. J Pharm Anal. 2017 Jun 1;7(3):156-62.
  10. Enmark M, Glenne E, Le?ko M, Weinmann AL, Leek T, Kaczmarski K, et al. Investigation of robustness for supercritical fluid chromatography separation of peptides: isocratic vs gradient mode. J Chromatogr A. 2018 Sep 21;1568:177-87.
  11. Ishii T, Tanaka T, Nangaku M. Profile of daprodustat in the treatment of renal anemia due to chronic kidney disease. Ther Clin Risk Manag. 2021 Feb 17;17:155-63.
  12. Desai AM, Andreae M, Mullen DG, Holl MM, Baker Jr JR. Acetonitrile shortage: Use of isopropanol as an alternative elution system for ultra/high performance liquid chromatography. Anal Methods. 2011;3(1):56-8.
  13. Thekkudan DF, Rutan SC, Carr PW. A study of the precision and accuracy of peak quantification in comprehensive two-dimensional liquid chromatography in time. J Chromatogr A. 2010 Jun 25;1217(26):4313-27.
  14. Song Z, Lu Y, Zhang X, Wang H, Han J, Dong C. Novel curcumin-loaded human serum albumin nanoparticles surface functionalized with folate: characterization and in vitro/vivo evaluation. Drug Des Devel Ther. 2016 Aug 17;10:2643-9.
  15. Puah PY, Lee DJ, Mak KH, Ang HJ, Chen HC, Moh PY, et al. Extractable impurities from fluoropolymer-based membrane filters–interference in high-throughput, untargeted analysis. RSC Adv. 2019;9(55):31918-27.
  16. Dhillon S. Daprodustat: first approval. Drugs. 2020 Sep;80(14):1491-7.
  17. Jahan MS, Islam MJ, Begum R, Kayesh R, Rahman A. A study of method development, validation, and forced degradation for simultaneous quantification of paracetamol and ibuprofen in pharmaceutical dosage form by RP-HPLC method. Anal Chem Insights. 2014;9:75-82.
  18. Mahar KM, Caltabiano S, Andrews S, Ramanjineyulu B, Chen L, Young G, et al. Clinical pharmacokinetics of daprodustat: results of an absorption, distribution, and excretion study with intravenous microtracer and concomitant oral doses for bioavailability determination. Clin Pharmacol Drug Dev. 2021 Dec;10(12):1419-31.
  19. Devi DA, Bhavani PG. Development and validation of stability indicating UPLC method for the simultaneous estimation of triamterene and hydrochlorothiazide in combined dosage forms using quality by design approach. Futur J Pharm Sci. 2023 Feb 1;9(1):9.
  20. Mahar KM, Shaddinger BC, Ramanjineyulu B, Andrews S, Caltabiano S, Lindsay AC, et al. Pharmacokinetics of daprodustat and metabolites in individuals with normal and impaired hepatic function. Clin Pharmacol Drug Dev. 2022 May;11(5):562-75.

Photo
CH K V L S N Anjana Male
Corresponding author

Professors, ITM School of pharmacy, ITM University, Gwalior, Madya Pradesh, India.

Photo
Lurdhu Mary
Co-author

Research Scholar, Department of Pharmaceutical analysis, Vignan's Foundation for Science, Technology, and Research, Vadlamudi, Guntur, Andra Pradesh, India.

Photo
Grandhi Surendra
Co-author

Professors, ITM School of pharmacy, ITM University, Gwalior, Madya Pradesh, India.

Photo
Harshitha Reddy
Co-author

Nirmala college of pharmacy, Atmakuru, Mangalagiri, Guntur District, Andhra Pradesh, India.

Photo
Shaik Uzma Aafreen
Co-author

Nirmala college of pharmacy, Atmakuru, Mangalagiri, Guntur District, Andhra Pradesh, India.

Photo
N. Kusuma
Co-author

Nirmala college of pharmacy, Atmakuru, Mangalagiri, Guntur District, Andhra Pradesh, India.

Photo
P. Hari Chandana
Co-author

Nirmala college of pharmacy, Atmakuru, Mangalagiri, Guntur District, Andhra Pradesh, India.

Photo
Mohana Kollipara
Co-author

Nirmala college of pharmacy, Atmakuru, Mangalagiri, Guntur District, Andhra Pradesh, India.

Photo
D. Maha Lakshmi
Co-author

Nirmala college of pharmacy, Atmakuru, Mangalagiri, Guntur District, Andhra Pradesh, India.

Photo
K. Lalitha
Co-author

Nirmala college of pharmacy, Atmakuru, Mangalagiri, Guntur District, Andhra Pradesh, India.

Lurdhu Mary, Grandhi Surendra, Harshitha Reddy, Shaik Uzma Aafreen, N. Kusuma, P. Hari Chandana, Mohana Kollipara, D. Maha Lakshmi, K. Lalitha, CH K V L S N Anjana Male, Method Development and Method Validation of Daprodustat - Using Reverse phase High Performance Liquid Chromatography Method, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 4, 3314-3323 https://doi.org/10.5281/zenodo.15303482

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