A Comprehensive Review on RP-HPLC Method Development and Validation for Simultaneous Estimation of Metoprolol Succinate and Azelnidipine

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 and Azelnidipine is Calcium Channel Blocker as well use in the treatment of hypertension. 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 and Azelnidipine 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.

Chromatographic techniques are commonly employed due to their sensitivity, simplicity, and cost effectiveness. Therefore, developing and validating robust analytical methods for Metoprolol succinate and Azelnidipine.

1.2 Method Development-

Method validation is carried out to ensure that a laboratory or analytical method 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 its required use, whether in research, clinical, or industrial setting.

Components of method validation include:

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

1.2.1 VALIDATION OF ANALYTICAL METHOD:

Validating a 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

1. Accuracy

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

2. 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.

3. Specificity

It is defined 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, or excipients.

4. 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.

5. 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.

6. Robustness

Robustness reflects the intrinsic resilience of a method — its ability to remain unaffected by small, deliberate changes in critical method parameters. A robust method provides confidence in its reliability and suitability for routine usable under normal conditions.

7. Ruggedness

Ruggedness is a calculation of how consistently an analytical method performs when deliberately subjected to variations in operating conditions — for instance, different laboratories, different analysts, different instruments, different reagent batches, different assay timings, or different temperatures.

1.3 CHROMATOGRAPHY

Chromatography encompasses a collection of analytical techniques that are used for separation, identification, and quantitative determination of chemical constituents present in complex mixtures.

In simple terms, chromatography may be defined as follows:

“It is the technique in which drug components of a mixtures are separated based upon the rates at which they are carried or moved through a stationary phase (column) by a gaseous or liquid mobile phase”. Chromatography is mainly classified into two categories based on the type of mobile phase:

1. Liquid Chromatography
2. Gas Chromatography

Separation of components occurs due to factors such as differences in migration rates, capillary action, and adsorption.  

 

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

Metoprolol Succinate-                                               Azelnidipine-

  = 3.3 ×Std.DeviationSlope

     =3.3 ×1552.04023188.0600

                   3.3 ×Std.DeviationSlope

  =3.3 ×210611.7422178.2796

 

               LOD = 0.2 ppm                                                    LOD = 1.6 ppm

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

7. 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 of Metoprolol Succinate

SUMMARY AND CONCLUSION

The Overall study determines the successful driven method development Reverse Phase -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.

FUTURE SCOPE

The developed QbD-based UV spectroscopic and RP-HPLC methods provide a robust, accurate, and reliable approach for the simultaneous estimation of Metoprolol Succinate and Azelnidipine. Future work may involve application of these methods to stability studies, biological sample analysis, advanced chromatographic techniques, green analytical approaches, and routine industrial quality control, thereby expanding their utility in pharmaceutical research and manufacturing.

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. 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

3. Commission. Indian Pharmacopoeia, 2018 - Metoprolol. 2018; II:2583–2584
4. Commission. Indian Pharmacopoeia, 2018 - Azelnidipine. 2018; II:1304–1305
5. 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

6. 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
7. Papadopoulos DP, Papademetriou V. Metoprolol succinate combination in the treatment of hypertension. Angiology. 2009;60(5):608-13. doi:10.1177/0003319708326450
8. Hitanshi Darji a, Zarna Dedania b Simultaneous estimation of Azelnidipine and of metoprolol succinate IJPBS |Volume 3| Issue 4 |OCT-DEC|2013|224-228 Research Article Pharmaceutical Sciences succinate with greenness assessment using HPLC and UV-spectrophotometric methods Green Analytical Chemistry journal www.elsevier.com/locate/greeac