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  • A Quality By Design Approach To The Development Of RP-HPLC Methods For Metoprolol Succinate And Azelnidipine

  • R.G Sapkal College of Pharmacy, Sapkal Knowledge Hub, Kalyani Hills, Anjaneri, Trimbakeshwar Rd, Nashik, 422213, Maharashtra, India.

Abstract

The Present study focuses on the systematical method development and validation of quantitative determination by using analytical methods for Metoprolol Succinate and Azelnidipine by Quality by Design (QbD) approach. The study is simple, sensitive and highly accurate Ultraviolet Spectrophotometric method and High-Performance Liquid Chromatography method has been studies as well as validated for determination of Metoprolol succinate and Azelnidipine in bulk and pharmaceutical dosage form. Both the drugs are anti-hypertensive medications. Metoprolol is cardio-selective ?1 adrenergic receptor blockers and Azelnidipine a calcium channel blocker. The present analytical method was developed on Shimadzu HPLC LC-2010. The HPLC chromatography was performed using a technique like Reversed Phase C18 column with mobile phase based are dependent on the polarity of the molecules. The overall study outlines the RP-HPLC determination of metoprolol succinate and azelnidipine. The calibration curves demonstrate the excellent result of linearity about the selected concentration ranges, with correlation coefficient values. Accuracy studies showed satisfactory percentage recovery within acceptable limits as well as precision study involve low Relative-Standard Deviation values, that confirm the quantification of the method. The developed method provided well-resolved peaks of Metoprolol Succinate and Azelnidipine. The validated QbD based and RP-High Performance Liquid Chromatography method are successfully applied for the quantitative estimation of Metoprolol Succinate and Azelnidipine in pharmaceutical dosage forms.

Keywords

QbD-Based Analytical Development, Metoprolol Succinate and Azelnidipine Combination.

Introduction

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Metoprolol succinate belongs to the class of selective β₁-adrenergic receptor blocker antagonist that is commonly prescribed for treatment of hypertension, angina pectoris, heart failure, and other cardiovascular disorders [9]. Due to its extensive use in pharmaceutical formulations, accurate and reliable analytical methods are essential to ensure drug quality, safety, and efficacy. The development and rigorous validation of analytical procedures are essential for the accurate quantitative determination of Metoprolol succinate in bulk drugs substance and finished dosage forms. Validated methods, following ICH guidelines,

Ensure precision, accuracy, reproducibility, and regulatory compliance in routine quality control analysis [3]. Analytical method development is a carefully planned, stepwise process aimed at establishing suitable, dependable, and precise procedures for the identification and quantification of pharmaceutical compounds. council of harmonization guidelines, ensures reliability. RP-HPLC method are used in pharmaceutical analysis because of their simplicity, rapid analysis, and minimal sample preparation [2, 13]. These methods are well-suited to routine quality control settings where high sensitivity and complex instrumentation are not required. However, method may face limitations in selectivity, particularly when excipients or other drugs are there in the formulation. High performance liquid chromatography has emerged as powerful and widely accepted analytical method that offers high sensitivity, specificity, and reproducibility [6]. RP-HPLC methods are particularly preferred for analysis of Metoprolol succinate, as they facilitate effective separation of the active drug from impurities, degradation products, and formulation excipients [10]. The development and validating HPLC methods carried out in conformity with ICH guidelines, ensure reliable, accurate, and reproducible results that are essential for routine quality control, stability studies, and regulatory compliance [8].

Method validation is carried out to ensure that a laboratory or analytical methods is for its required purpose and consistently produces reliable, accurate, and reproducible results. The objective is to provide evidence of documents that the method performs effectively under specified conditions and meets the defined requirements for it required use, whether in research, clinical, industrial setting.

Components of method validation include:

  • Accuracy
  • Precision
  • Specificities
  • Linearity Range
  • Limit of the Detections (LOD)
  • Limit of Quantification (LOQ)

The main objectives of this work are given as follows:

a. To develop easy, fast and sensitive method for identification of critical attributes by QbD approach of this antiretroviral drug by RP-HPLC.

b. To establish a validated test method in compliance with ICH guidelines for the quantitative assay determination of these antihypertensive drugs by RP-HPLC.

Validating an quantitative method is the process by which it is established, by laboratory knowledge gaining, that performance characteristics of the technique meet the requirements for the intended analytical application. Typical analytical performance characteristic for Analytical method validation are listed below

a. Accuracy: The accuracy of a measurement is defined as the closeness of the measured value to the true value.

b. Precision: Precision describes the degree of agreement or the spread among a series of

results obtained by repeated measurement of the same homogeneous sample under specified conditions. Precision is evaluated at three levels: repeatability, intermediate precision, and reproducibility.

c. Specificity: It is define as the ability of a method to measure accurately and unambiguously the analyte of interest in the presence of other components that may be present in the sample matrix, such as impurities, degradation products, excipients.

d. Intermediate Precision: Intermediate precision captures the variability observed within a single laboratory when measurements are made on different days, by different analysts, or using different equipment.

e. Linearity: The linearity is quantitative study of capacity to generate test results that are directly proportional within a defined range to the concentration of substances in the sample.

Method development by QbD approach:

Step 1: Define method intent

The objectives of HPLC method development must be clearly articulated at the outset. Pharmaceutical QbD is, at its core, a systematic, science-based, and risk-informed

 understanding and controlling both the product and the process.

Step 2: Perform experimental design

A structured experimental design is essential for building in-depth methods, understanding and supporting rational optimisation. An efficient and comprehensive design of experiments (DoE) should systematically explore the three key components of any RP-HPLC method: the chromatographic column,

mobile phase ph and composition.

Step 3: Evaluate experimental results and select finalized method conditions40 method conditions were evaluated using the three-tiered approach. At the first level, the conditions were evaluated for peaks symmetry, peaks fronting and peaks tailing. This resulted in 20 chromatographic conditions for API,

Parameters

Description of   Parameters

Column

C8

C18

Mobile Phase

ACN: Buffur

ACN: Water

Methanol: Water

Methanol: Buffur

Table 1 Scouting of Parameters of HPLC

2. Experimental WORK

2.1 Materials and Reagents:

Following list of Reagents/Standards/Equipment was required during method validation. Name of standards Drugs metoprolol succinate, azelnidipine. Reagents Potassium dihydrogen orthophosphate, Orthophosphoric acid, Acetonitrile, Water. Instruments/ Equipments HPLC System Shimadzu-LC-2010CHT, Software-LC Solution, pH Meter-Labman, Sonicator-Life Care Instruments Pvt. Ltd., Analytical Balance-Lab Man, HPLC Column: C18, (4.6 mm x 15-cm), 5µm-Agilent.

2.2 Chromatographic Conditions: To validate the analytical method for % Assay of Metoprolol Succinate and Azelnidipine tablet and active pharmaceutical ingredient by High Performance Liquid Chromatography.  The method was validated for certain Parameters like specificity and, precision, solution stability, accuracy, linearity based on approved protocol with predetermined acceptance criteria [6].

Mobile Phase Preparation:

 Buffer Preparation:0.01M ammonium dihydrogen orthophosphate in 1000ml of water.

 Mobile Phase Preparation: Mixture of 40ml Buffer and 60ml of Acetonitrile. With pH of 3.2

Diluent: Methanol

2.2.1 Preparation of solution:

1. Standard Solution: Measure accurately 16mg Azelnidipine API and 25mg Metoprolol succinate API transfer it into a 25ml measuring flask and add 15ml of methanol and sonicate till dissolve and makeup volume with methanol. Take both 5ml of above solution in 50 ml of measuring flask and volume makeup by using methanol.

2. Sample Solution: Take 10 tablets and measure its average weight (Tablet weight). Crush the tablets into fine powder. Take powder equivalent to average weight into 50ml of volumetric flask add 30 ml of methanol sonicate for 10 mins. and makeup the volume with methanol. Filter above solution with Whatman filter paper No.41 and collect the filtrate. Take 5ml of above solution into 50 ml volumetric flask and makeup the volume with methanol.

a. Procedure: Equilibrate the column with mobile phase for stable base line. Inject the Blank, Standard & Sample preparations and record the chromatograms.

b. System Suitability Parameters (Acceptance Criteria): The relative standard deviation of metoprolol succinate and azelnidipine should not be more than 2 [5, 12].

c. Sample Solution: Take 10 tablets and measure its average weight (Tablet weight). Crush the tablets into fine powder. Take powder equivalent to average weight into 50ml of volumetric flask add 30 ml of methanol sonicate for 10 mins. and makeup the volume with methanol. Filter above solution with Whatman filter paper No.41 and collect the filtrate. Take 5ml of above solution into 50 ml volumetric flask and makeup the volume with methanol.

4. Procedure: Equilibrate the column with mobile phase for stable base line. Inject the Blank, Standard & Sample preparations and record the chromatograms.

5. System Suitability Parameters (Acceptance Criteria): The relative standard deviation of metoprolol succinate and azelnidipine should not be more than 2.0%.

2.3 Parameters Evaluated for Validation Study:

a. Specificity / Selectivity

b. Precision

c. Intermediate precision

d. Accuracy

e. Linearity & Range

f. Solution Stability

g. Robustness

2.3.1 Specificity/Selectivity:

The specificity method was determined by analysing drugs and active pharmaceutical ingredients. Retention time (RT) of drugs metoprolol succinate and azelnidipine are ensure by studying RT as per the standards. The use of standard drugs and interference was observed in the chromatogram of blank.

2.3.2 Precision:

The Parameter is a measurement of Degree of Reproducibility of analytical method and it will be expressed by % Relative Standard for the area and retention time of Solution prepared. The Precision of an quantitative study determines closeness of agreement between a series of measurement obtained from multiple sampling of the same sample solutions as per standards. It is usually specified in terms of standard deviation (SD) or relative standard deviation (RSD) is as follows and calculated by formula.

Precision Three Levels Consideration As,

a. System Repeatability

b. Analysis Repeatability

c. Ruggedness

System Suitability: Precision under system repeatability conditions i.e. conditions where the system suitability was checked by injecting five replicate standard injections of pharmaceutical formulations like metoprolol succinate and azelnidipine. Prepared the solution of concentration of 40ppm metoprolol succinate and 40ppm of azelnidipine by standards and solution inject upto three times. Calculate the standard deviation of relative value and Retention Time of drugs like metoprolol succinate and azelnidipine.

2.3.3 Intermediate Precision:

Precision under analysis repeatability conditions where test results are independent

and obtained with similar methodology of same test items like same laboratory to

laboratory using same operator and equipment’s within short time interval

2.3.4 Accuracy:

Accuracy is defined as the closeness between the observed values with actual or true value for a specific concentration. Accuracy closeness to the true value, measured by % recovery of sample spikes or % error in the analysis of a reference sample. For the purpose of establishing Accuracy of the method, prepared the sample solutions of different concentrations for Metoprolol Succinate and for Azelnidipine.

Spike the placebo with 80 % of the standard concentration.

Spike the placebo with 100 % of the standard concentration.

Spike the placebo with 125 % of the standard concentration.

Calculate % Recovery for every solution at each level.

2.3.5 Linearity & range:

Linearity Sample Stock Solution:

Weigh 20 mg Metoprolol Succinate and 20mg of Azelnidipine in 50ml calibrated flask sonicate, dissolve and dilute upto volume by using mobile phase.

Linearity Solutions:

  1. Linearity Solution (Metoprolol Succinate & Azelnidipine) Take 4.0 mL sample stock solution in 50ml volumetric flask and volume by using Mobile Phase.
  2. Linearity Solution (Metoprolol Succinate & Azelnidipine) Take 4.5 mL sample stock solution in 50ml volumetric flask and make up to the volume with Mobile Phase.
  3. Linearity Solution (Metoprolol Succinate & Azelnidipine) Take 5.0 mL sample stock solution in 50ml volumetric flask and volume makeup by using Mobile Phase.

2.3.6 LOD (Limit of Detection) for Metoprolol:

The detection limit of individual testing procedure having less amount of drug substance in the sample which is detected but not quantitated as per exact value.

Limit of Quantification (Metoprolol Succinate):

The Quantation limit of individual testing procedure having less amount of drug substance in the sample which is quantitatively determined by using suitable precision.

2.3.6.1 LOD (Limit of Detection) for Azelnidipine:

The detection limit of individual testing procedure having less amount of drug substance in the sample which is detected but not quantitated as per exact value.

Limit of Quantification (Azelnidipine):

The Quantation limit of individual testing procedure having less amount of drug substance in the sample which is quantitatively determined by using suitable precision

3. RESULT AND DISCUSSION:

3.1 Evaluation of Data: Following is the summarized report of the validation study of % Assay of metoprolol succinate 40mg and azelnidipine 8.0mg.

VALIDATION PARAMETER

RESULTS

ACCEPTANCE CRITERIA

Specificity

No interference observed

Blank should not be interfering in the Standard & Sample Solutions.

Intermediate Precision

Method Precision

RSD of % Assay NMT 2.0 %% Assay is NLT 90.0% and NMT 110.0%

 

Drug

% RSD

 

Metoprolol Succinate

0.07

 

Azelnidipine

0.89

Precision

Drug

% RSD

 

Metoprolol Succinate

0.07

 

Azelnidipine

0.89

     

Accuracy

Mean Recovery Metoprolol Succinate = 100.14%Azelnidipine = 100.68%

Between 98.0% to 102.0%

Linearity for Metoprolol Succinate

Correlation Coefficient = 0.9846Y-Intercept = −31058.0000Slope = 23188.0600

Correlation Coefficient: NLT 0.99Y-Intercept: NASlope: NA

Linearity for Azelnidipine

Correlation Coefficient = 0.9998Y-Intercept = 1403.0893Slope = 22178.2796

Correlation Coefficient: NLT 0.99Y-Intercept: NASlope: NA

Solution Stability

Metoprolol Succinate = 0.24Azelnidipine = 0.27

Difference should not be more than 2.0.

Table 2 Evaluation of Data

3.2. Metoprolol succinate and Azelnidipine HPLC Method Development Trial Result:

Column : - C18, 250mm × 4.6mm, 5µ Agilent Zorbax

Wavelength : - 275nm

Flow : - 1.0ml/min

Temperature : - 37°C

Injection Volume : - 20µL

Buffer Preparation:

Prepare 0.01M Ammonium Dihydrogen

Orthophosphate in 1000ml of water

Standard Preparation: -

Measure accurately 16mg Azelnidipine API and 25mg Metoprolol succinate API transfer it into a 25ml volumetric flask then add 15ml of methanol and sonicate till dissolve and makeup volume with methanol. Take both 5ml of above solution in 50 ml of volumetric flask and volume makeup by using methanol.

Observation:

Peak is Observed & Method optimize.

3.3 QbD Reports:

ANOVA for Linear model Response 1: Metoprolol Succinate

Factor coding is Coded.

Sum of squares is Type III – Partial

The Model F-value of 410.56 implies the model is significant.

P-values less than 0.0500 indicate model terms are significant. In this case A, B are significant model terms. Values greater than 0.1000 indicate the model terms are not significant. If there are many insignificant model terms (not counting those required to support hierarchy), model reduction may improve your model.

Source

Sum of Squares

df

Mean Square

F-value

p-value

Model

2.26

2

1.13

410.56

< 0.0001

A-mobile phase

1.62

1

1.62

587.76

< 0.0001

B-flow rate

0.6421

1

0.6421

233.36

< 0.0001

Residual

0.0165

6

0.0028

   

Cor Total

2.28

8

     

ANOVA for Linear model Response 2: Azelnidipine

Factor coding is Coded.

Sum of squares is Type III – Partial.

The Model F-value of 88.81 implies the model is significant. There is only a 0.01% chance that an F-value this large could occur due to noise.

P-values less than 0.0500 indicate model terms are significant. In this case A, B are significant model terms. Values greater than 0.1000 indicate the model terms are not significant. If there are many insignificant model terms (not counting those required to support hierarchy), model reduction may improve your model.

Source

Sum of Squares

df

Mean Square

F-value

p-value

Model

3.08

2

1.54

88.81

< 0.0001

A-mobile phase

2.29

1

2.29

132.06

< 0.0001

B-flow rate

0.7899

1

0.7899

45.56

0.0005

Residual

0.1040

6

0.0173

   

Cor Total

3.18

8

     

CONCLUSION

The Overall study determines the successful QbD driven method development of UV Spectroscopic and RP-High Performance Liquid Chromatography methods and validation study for quantitative analysis of Azelnidipine and Metoprolol Succinate. Both methods were rigorously validated following ICH guidelines, are mainly simple, precise, accurate, linear, and robust for routine pharmaceutical analysis [11].

Acknowledgement

I would like to express my heartfelt gratitude to my guide for their continuous guidance throughout this research work. Their valuable insights and assistance played an important role in the successful completion of this study. I am also deeply thankful to my parents for their unwavering love, constant encouragement, and endless support. Their belief in me has been a great source of motivation and strength throughout my academic journey, and I am truly grateful for everything they have done for me.

REFERENCES

  1. Pramod Kumar Goyal1*, Manish Jaimini2and Piush Sharma1 Dept of Pharmacy, Maharishi Arvind University, Jaipur A REVIEW ON HPLC APPROACHES FOR SIMULTANEOUSLY DETERMINING ANTIHYPERTENSIVE DRUG COMBINATIONS Tropical journal of Pharmaceutical and Life Sciences (An International Peer Reviewed Journal) Journal homepage: http://informativejournals.com/journal/index.php/tjpls
  2. Nováková L, Solich P, Solichová D. HPLC methods for simultaneous determination of ascorbic and dehydroascorbic acids. TrAC Trends in Analytical Chemistry 2008; 27:942–958.
  3. Commission. Indian Pharmacopoeia, 2018 - Metoprolol. 2018; II:2583–2584
  4. Commission. Indian Pharmacopoeia, 2018 - Azelnidipine. 2018; II:1304–1305
  5. Dhruvin M. Prajapati*, Apexa Kadam and Dr. Rajashree Mashru ANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR SIMULTANEOUS ESTIMATION OF AZELNIDIPINE AND METOPROLOL SUCCINATE FROM THE SYNTHETIC MIXTURE BY THREE DIFFERENT UV SPECTROPHOTOMETRIC METHODS World Journal of Pharmaceutical Research Volume 11, Issue 10, 785-798.
  6. Leela Prasad Kowtharapu1,2, Naresh Kumar Katari2, Siva Krishna Muchakayala2, Surya Prakash Rao Pydimarry3, Vijay Kumar Rekulapally3, Christian A. Sandoval1 Development and Validation of an RP-HPLC Method for Simultaneous Quantification of Azelnidipine and Metoprolol Succinate in Synthetic Mixtures Pharmaceutical Sciences and Drug Design ISSN: 3062-4428  www.galaxypub.co/page/journals
  7. Shewale VU, Aher SS, Saudagar RB. Azelnidipine: a review on therapeutic role in hypertension. J Drug Deliv Ther. 2019;9(3-s):1002-5. doi:10.22270/jddt.v9i3-s.3090
  8. Ghore MG, Dabhade PS. RP-HPLC method development and validation of azelnidipine. Int J Pharm Sci Res. 2016;7(12):5111-4. doi:10.13040/IJPSR.0975-8232
  9. Papadopoulos DP, Papademetriou V. Metoprolol succinate combination in the treatment of hypertension. Angiology. 2009;60(5):608-13. doi:10.1177/0003319708326450
  10. Modi J, Patel SK, Parikh N, Shah SR, Pradhan PK, Upadhyay UM. Stability indicating analytical method development and validation for estimation of azelnidipine. World J Pharm Res. 2016;5(2):831-47. doi:10.25004/IJPSDR.2021.130308
  11. Hitanshi Darji a, Zarna Dedania b Simultaneous estimation of Azelnidipine and Metoprolol succinate with greenness assessment using HPLC and UV-spectrophotometric methods Green Analytical Chemistry journal www.elsevier.com/locate/greeac
  12. Anamika Singh1*, Aarti Rajput2, Goshiya Kureshi1, Garima Carpenter3, Jainee Vashi4 AN RP-HPLC METHOD PERFORMANCE AND VALIDATION FOR AZELNIDIPINE MEASURMENT AND METOPROLOL SUCCINATE WITHIN A SYNTHETIC MIXTURE Pharmacophore ISSN-2229-5402 http://www.pharmacophorejournal.com
  13. S. A. Pagar*, D.M.Shinkar1, R.B. Saudagar2 DEVELOPMENT AND VALIDATION OF SPECTROPHOTOMETRIC METHOD FOR DETERMINATION OF METOPROLOL SUCCINATE IJPBS |Volume 3| Issue 4 |OCT-DEC|2013|224-228 Research Article Pharmaceutical Sciences www.ijpbs.com or www.ijpbsonline.com

Reference

  1. Pramod Kumar Goyal1*, Manish Jaimini2and Piush Sharma1 Dept of Pharmacy, Maharishi Arvind University, Jaipur A REVIEW ON HPLC APPROACHES FOR SIMULTANEOUSLY DETERMINING ANTIHYPERTENSIVE DRUG COMBINATIONS Tropical journal of Pharmaceutical and Life Sciences (An International Peer Reviewed Journal) Journal homepage: http://informativejournals.com/journal/index.php/tjpls
  2. Nováková L, Solich P, Solichová D. HPLC methods for simultaneous determination of ascorbic and dehydroascorbic acids. TrAC Trends in Analytical Chemistry 2008; 27:942–958.
  3. Commission. Indian Pharmacopoeia, 2018 - Metoprolol. 2018; II:2583–2584
  4. Commission. Indian Pharmacopoeia, 2018 - Azelnidipine. 2018; II:1304–1305
  5. Dhruvin M. Prajapati*, Apexa Kadam and Dr. Rajashree Mashru ANALYTICAL METHOD DEVELOPMENT AND VALIDATION FOR SIMULTANEOUS ESTIMATION OF AZELNIDIPINE AND METOPROLOL SUCCINATE FROM THE SYNTHETIC MIXTURE BY THREE DIFFERENT UV SPECTROPHOTOMETRIC METHODS World Journal of Pharmaceutical Research Volume 11, Issue 10, 785-798.
  6. Leela Prasad Kowtharapu1,2, Naresh Kumar Katari2, Siva Krishna Muchakayala2, Surya Prakash Rao Pydimarry3, Vijay Kumar Rekulapally3, Christian A. Sandoval1 Development and Validation of an RP-HPLC Method for Simultaneous Quantification of Azelnidipine and Metoprolol Succinate in Synthetic Mixtures Pharmaceutical Sciences and Drug Design ISSN: 3062-4428  www.galaxypub.co/page/journals
  7. Shewale VU, Aher SS, Saudagar RB. Azelnidipine: a review on therapeutic role in hypertension. J Drug Deliv Ther. 2019;9(3-s):1002-5. doi:10.22270/jddt.v9i3-s.3090
  8. Ghore MG, Dabhade PS. RP-HPLC method development and validation of azelnidipine. Int J Pharm Sci Res. 2016;7(12):5111-4. doi:10.13040/IJPSR.0975-8232
  9. Papadopoulos DP, Papademetriou V. Metoprolol succinate combination in the treatment of hypertension. Angiology. 2009;60(5):608-13. doi:10.1177/0003319708326450
  10. Modi J, Patel SK, Parikh N, Shah SR, Pradhan PK, Upadhyay UM. Stability indicating analytical method development and validation for estimation of azelnidipine. World J Pharm Res. 2016;5(2):831-47. doi:10.25004/IJPSDR.2021.130308
  11. Hitanshi Darji a, Zarna Dedania b Simultaneous estimation of Azelnidipine and Metoprolol succinate with greenness assessment using HPLC and UV-spectrophotometric methods Green Analytical Chemistry journal www.elsevier.com/locate/greeac
  12. Anamika Singh1*, Aarti Rajput2, Goshiya Kureshi1, Garima Carpenter3, Jainee Vashi4 AN RP-HPLC METHOD PERFORMANCE AND VALIDATION FOR AZELNIDIPINE MEASURMENT AND METOPROLOL SUCCINATE WITHIN A SYNTHETIC MIXTURE Pharmacophore ISSN-2229-5402 http://www.pharmacophorejournal.com
  13. S. A. Pagar*, D.M.Shinkar1, R.B. Saudagar2 DEVELOPMENT AND VALIDATION OF SPECTROPHOTOMETRIC METHOD FOR DETERMINATION OF METOPROLOL SUCCINATE IJPBS |Volume 3| Issue 4 |OCT-DEC|2013|224-228 Research Article Pharmaceutical Sciences www.ijpbs.com or www.ijpbsonline.com

Photo
Nikita Vishnu Mawal
Corresponding author

R.G Sapkal College of Pharmacy, Sapkal Knowledge Hub, Kalyani Hills, Anjaneri, Trimbakeshwar Rd, Nashik, 422213, Maharashtra, India.

Photo
Smita S. Aher
Co-author

R.G Sapkal College of Pharmacy, Sapkal Knowledge Hub, Kalyani Hills, Anjaneri, Trimbakeshwar Rd, Nashik, 422213, Maharashtra, India.

Nikita Vishnu Mawal*, Smita S. Aher, A Quality By Design Approach To The Development Of RP-HPLC Methods For Metoprolol Succinate And Azelnidipine, Int. J. Sci. R. Tech., 2026, 3 (7), 162-171. https://doi.org/10.5281/zenodo.21246278

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