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Abstract

Azelnidipine, a calcium channel blocker, and Metoprolol, a beta-blocker, are commonly prescribed for managing stage 2 hypertension. This study presents the development and validation of a High-Performance Thin-Layer Chromatography (HPTLC) method for their simultaneous estimation in a combined dosage form. The method was validated following ICH Q2(R1) guidelines, confirming its accuracy, precision, specificity, linearity, and robustness. Chromatographic separation was performed using an isocratic elution with a mobile phase composed of Chloroform, Ethyl acetate, and Methanol (6.5:3.5:0.1 v/v/v). A silica gel 60F-254 aluminum plate was employed as the stationary phase, with detection carried out at 252 nm. This validated method offers a reliable analytical approach for quality control in the pharmaceutical industry.

Keywords

Azelnidipine, Metoprolol, HPTLC (High-Performance Thin-Layer Chromatography), Analytical Method Validation, ICH Compliance, Blood Pressure-Lowering Agents, Calcium Channel Antagonist, Beta-Adrenergic Blocker, Concurrent Quantification, Pharmaceutical Formulations, Quality Assurance

Introduction

Hypertension, commonly referred to as high blood pressure, is a medical condition characterized by elevated pressure in the arteries. In stage 2 hypertension, the systolic pressure reaches 140 mm Hg or higher, or the diastolic pressure is 90 mm Hg or more. A blood pressure reading exceeding 180/120 mm Hg is classified as a hypertensive emergency and necessitates immediate medical intervention.

Several factors contribute to the development of stage 2 hypertension: -

  • Obesity
  • Poor Diet
  • Sedentary Lifestyle
  • Excessive Alcohol Consumption
  • Smoking
  • Genetic Predisposition
  • Sleep Apnea
  • Diabetes
  • Kidney Disorders
  • Hormonal Imbalances
  • Pregnancy-Related Complications.

Drug Profiles: -

Azelnidipine

Azelnidipine is a calcium channel blocker belonging to the dihydropyridine class. It has a slow onset of action and provides a sustained reduction in blood pressure with minimal impact on heart rate. It is also being investigated for use in managing conditions post-ischemic stroke.

Dosage Forms: Tablets (e.g., 8 mg, 16 mg)

Molecular Formula: C33H34N4O

Class: Calcium Channel Blocker

Oral Bioavailability: Approximately 15–30%

Mechanism of Action: Azelnidipine blocks voltage-gated calcium channels, particularly the L-type, preventing calcium influx into vascular smooth muscle cells, which promotes vasodilation.

Half-life: Approximately 16–24 hours, supporting once-daily dosing.

Metoprolol

Metoprolol is a selective beta-1 adrenergic receptor antagonist primarily used to treat cardiovascular diseases. It reduces the heart rate, cardiac output, and blood pressure by inhibiting beta-1 receptors in the heart.

Brand Names: Lopressor, Toprol-XL
Dosage Forms: Immediate and extended-release tablets, and intravenous injection

Molecular Formula: C15H25NO3

Oral Bioavailability: Around 50%

Half-life: 3 to 7 hours

Mechanism of Action: By blocking beta-1 adrenergic receptors, Metoprolol decreases myocardial oxygen demand and improves hemodynamic stability.

Structure of Azelnidipine

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120702-0.png" target="_blank">
            <img alt="1.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120702-0.png" width="150">
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Structure of Metoprolol
        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-19.png" target="_blank">
            <img alt="2.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-19.png" width="150">
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The marketed tablet combination has been studied using the HPLC method, but no method has been reported using HPTLC.

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            <img alt="3.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-18.png" width="150">
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Azelnidipine and Metoprolol have been simultaneously estimated in marketed tablet formulations using High-Performance Liquid Chromatography (HPLC); however, no analytical method has yet been reported for their simultaneous estimation using High-Performance Thin-Layer Chromatography (HPTLC).

MATERIAL AND METHOD

Table:1 Chemical and Reagents Used

Reagent

Purpose

Source

Azelnidipine (API)

Active Pharmaceutical Ingredient for analysis

Certified Supplier

Metoprolol (API)

Active Pharmaceutical Ingredient for analysis

Certified Supplier

Chloroform

Organic solvent for mobile phase preparation

Merck

Ethyl acetate

Organic solvent for mobile phase

Sigma-Aldrich

Methanol

Mobile phase component

Loba Chemie

Water (HPTLC Grade)

Mobile phase component

Milli-Q System

Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Stationary phase for chromatographic separation

Phenomenex

pH Meter

Measurement and adjustment of pH

Theromo Fisher Scientific

Analytical Balance

Accurate weighing of reagents and samples

Sartorius

Ultrasonicator

Dissolution of sample in diluent

Labman Instruments

Glassware (Volumetric Flasks, Pipettes)

Preparation of mobile phase and standard solutions

Borosil

Table:2 Instrument specification for HPTLC

Make

CAMAG

Model

TLC Scanner 4

Type

Densitometric detection

Detector

UV Detector

Software

win CATS

Plate

HPTLC Silica Gel 60 F254

Application

Automatic TLC Sampler (ATS)

Table:3 Instrument Specifications for Weighing Balance

Make

Mettler Toledo

Sensitivity

0.1 milligram

Minimum weighing capacity

1 milligram

Table:4 Instrument specification for melting point apparatus

Make

Gallen Kamp

Design no.

889339

Table:5 Instrument Specification for UV double beam Spectrophotometer

Make

Shimadzu

Model

UV 1800

Type

Double beam spectrophotometer

Detector

Photodiode

Scanning Range

190-1100

Output

%T & Absorbance

Software

U.V. Probe 2.42

Table:6 Procurement of pure APIs

Sr. No.

Name of APIs

Source

1

Azelnidipine

Glenmark Pharmaceuticals LTD

2

Metoprolol

CTX Lifesciences

Identification Of Drugs:

By Melting point method: -

Melting point of Azelnidipine & Metoprolol hydrochloride has been determined. The melting points of the compounds were taken by open capillary method.

Table:7 Melting Point of Drugs

Sr. No.

APIs

Melting Point

Reported

Measured

1

Azelnidipine

99.°C

95-98°C

2

Metoprolol

120°C

120-122°C

By FTIR Spectra Method: -

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-17.png" target="_blank">
            <img alt="Fig 1-IR Spectra of Azelnidipine.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-17.png" width="150">
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Fig 1: IR Spectra of Azelnidipine

Table:7 IR Interpretation Spectra for Azelnidipine

Groups

General Range(cm-1)

Observed Range(cm-1)

O-H (s)

3400-3200

3352.28

C-O (s)

1100-11050

1834.55

C-H (s)

2690-2850

2932

C=O (s)

1640-1680

1655

N-H (b)

700-1100

763

C-N (s)

1350-1000

1125.55

N=O (s)

2526-780

1890.78

C-C (s)

1200-800

1156.89

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-16.png" target="_blank">
            <img alt="IR Spectra of Metoprolol.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-16.png" width="150">
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Fig 2: IR Spectra of Metoprolol

Table 8: IR Interpretation Spectra for Metoprolol

Groups

General Range(cm-1)

Observed Range(cm-1)

O-H (s)

3600-3000

3354.55

C-H (s)

3000-2480

2834.55

N-H & NH2 (s)

2980-2872

2890.22

C-O

1100-11050

1256.77

C-C

1200-800

1134.89

C-N

1350-1000

1145.78

By solubility method: -

The solubility of Azelnidipine & Metoprolol practically determined separately by taking 100 mg of both the drugs in 100 ml volumetric flasks, adding required quantity of solvent at room temperature and shaken for few minutes. Solubility data for each study was observed and recorded in Table 9.

Table 9: Solubility Table

Description Terms

Relative Quantities of solvent for 1 Parts of solute

Very soluble

Less than 1 part

Freely soluble

From 1 to 10 parts

Soluble

From 10 to 30 parts

Sparingly soluble

From 30 to 100 parts

Slightly soluble

From 300 to 1000 parts

Very slightly soluble

From 1000 to 10000 parts

Practically Insoluble

More than 10000 parts

Table 10: Solubility Data for Azelnidipine & Metoprolol

Solvent

Azelnidipine

Metoprolol

Water

Very Soluble

Slightly soluble

Chloroform

Practically Insoluble

Very soluble

0.1 N HCL

Soluble

Practically Insoluble

Acetonitrile

Soluble

Soluble

Methanol

Soluble

Slightly Soluble

Ethanol

Soluble

Slightly Soluble

Development and Optimization of HPTLC Method

Selection of Wavelength

Drug concentrations were prepared using Water and scanned in the UV-region of 200 – 400 nm and the spectra were recorded to get maximum of analytes in mobile phase. AZE and MET were scanned in UV in which drugs show reasonably good response at 235nm. But during selection, observed that TLC plate was readable in UV scanning So that 235 nm was considered.

Chromatographic Conditions

Mobile phase was selected on the basis of best separation. So, number of trials were tried for the selection of MP to effectively separate the drugs on silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness). And with the best separation of drug bands Chloroform: Ethyl acetate: Methanol in the ratio of 6.5: 3.5: 0.1 was selected as a Mobile phase.

Selection of Stationary Phase

For HPTLC Method, various columns are available but based on literature survey silica gel aluminum plate 60F254 (20 X 10 cm with 250 µm thickness) was selected over the other columns.

Preparation of Solution: -

Preparation of Mobile Phase

HPTLC method was followed by isocratic elution technique. Mobile phase comprised of Chloroform: Ethyl acetate: Methanol in the ratio of 6.5: 3.5: 0.1 ratio because it elutes both drugs peak efficiently in short time with satisfactory resolution, tailing factor and theoretical plates.

Preparation of Standard Stock Solution A: (Azelnidipine Stock Solution)

Accurately weighed quantity of Azelnidipine 100 mg was transferred into 100 mL volumetric flask, dissolved in methanol and diluted up to mark with methanol. This will give a stock solution having strength of 1000 μg/mL. Withdraw 16 ml from Stock Solution and make up to 10 ml with to get 1600 μg/ml.

Preparation of Standard Stock Solution B: (Metoprolol stock solution)

Accurately weighed quantity of Metoprolol 100 mg was transferred into 100 mL volumetric flask, dissolved in methanol and diluted up to mark with methanol. This will give a stock solution having strength of 1000 μg/mL. Withdraw 25 ml from Stock Solution and make up to 10 ml with to get 2500 μg/mL

Chromatographic Condition

Chromatographic Parameters

Optimized Conditions

Stationary Phase

Silica gel aluminum plate 60F-254 (20 X10 cm with 250 µm thickness)

Mobile Phase

Chloroform: Ethyl acetate: Methanol in the ratio of (6.5:3.5: 0.1 v/v)

Detection Wavelength

235 nm

Distance between spots

10 mm

Drying Temperature

25-30° C

Development Time

10 Min

Method Of Validation

Specificity

The analytical method for specificity was evaluated by injecting the following solutions. Diluent was prepared and inject into the HPTLC system in triplicate. Sample solution was prepared with appropriate levels of excipients as a placebo sample and inject into the HPTLC system in triplicate for all the dosage strengths. Placebo was prepared by mixing all excipients without active ingredients. Standard and sample solutions were prepared for assay (100% Conc.) and inject into the HPTLC system in triplicate.

Linearity and Range

Analysis was performed on Precoated silica gel aluminum Plate 60F–254 (20× 10 cm with 250 µm thickness) (E. Merck) pre-washed with methanol and then dried for 30 minutes at 50°C. From the Stock A, 1 µL, 2 µL, 3 µL, 4 µL and 5 µL aliquots were spotted on the TLC plate from 160 µg/mL AZE and 250 µg/mL MET standard stock solution under nitrogen stream using Dosage Applicator, AS30 win to final concentration range 160 – 800 ng/band and 250 – 1250 ng/band for AZE and MET, respectively.

Repeatability

Prepared standard working solution of mixtures having concentration of Azelnidipine (160 μg/ml) and Metoprolol (250 μg/ml) were injected at volume of 20 μL into column by employing optimized chromatographic conditions. Each standard mixture was injected 5 time and peak area was monitored. Each concentration was monitored for repeatability by RSD.

 Intra-day and Inter-day Precision

Method precision was determined by performing intraday and inter day precision. Mixture that represents overall range (Azelnidipine +Metoprolol = 80+125, 160+250 and 240+375 µg/ml) were analyzed on same day at different time interval for intraday precision. Mixture that represents overall range (Azelnidipine +Metoprolol = 80+125, 160+250 and 240+375 µg/ml) were analyzed on different days for inter-day precision.

System Suitability Parameters

Solution of Azelnidipine + Metoprolol (160+250 μg.ml-1) was injected 3 times for determination of System suitability parameters which includes Retention time (Rt), Tailing factor (Tf), Resolution (Rs) and number of theoretical plates. System suitability parameters   for selected concentration were determined by C.V.

Accuracy

Accuracy was determined by performing recovery studies by spiking different concentration of drug to pre-analyzed sample solution of 160 ng/band for AZE and 250 ng/band of MET. To pre-analyzed sample solution, a known amount of working standard solution of AZE and MET were added in 10 mL volumetric flask and made up to mark with different levels i.e., 80%, 100% and 120%. The experiment was performed

Limit of detection and Limit of Quantification

The limit of detection (LOD) and the limit of quantification (LOQ) were calculated using the standard deviation of intercept of calibration curve. The limit of detection (LOD) and the limit of quantification (LOQ):

LOQ = 10 σ/s and LOD = 3.3 σ/s

Where, σ = the standard deviation of the response.

S = the slope of the calibration curve

Robustness

Robustness of proposed method was evaluated by deliberately changing parameters (± 0.2) like Saturation time and Mobile phase composition with the working stock solution (160 ng/band of AZE and 250 ng/band MET).

Assay Sample preparation

Label claim: Weighed 1 gram of synthetic mixture, dissolve it in 50 ml of methanol and sonicate it for 15 min. Heat at 30 ? until base is dissolved and cool it at room temperature. Filter the extract through Whatman filter paper no. 42 and make up the volume up to 100 ml with methanol. Final stock solution containing AZE (160 μg/ml) + MET (250 μg/ml).

Test solution:

Withdraw 100µl from above filtrate in 10 mL volumetric flask; make up the volume with mobile phase, which contain Azelnidipine+ Metoprolol = 160+250 µg/ml.

Inject the above solution for 3 times under optimized

RESULT AND DISCUSSION

Selection of Wavelength

To determine wavelength for measurement, standard spectra of Azelnidipine & Metoprolol were scanned between 200-400 nm against diluents. Absorbance maxima of Azelnidipine & Metoprolol have detected at 235 nm. Chromatogram was taken at 235 nm, both drugs give good peak height and shape. So,235 nm was selected for Simultaneous estimation of Azelnidipine & Metoprolol in their formulation.

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            <img alt="4.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-15.png" width="150">
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Selection of Mobile phase

Various Combinations of Solvents were tried for the effective separation of the LEN and EVE on silica gel aluminum plate 60F-254 (20 × 10 cm with 250 µm thickness) (E. Merck). Results of Trials and final selected mobile phase with the discussion shown below.

Trail 1: -

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase: Toluene: Methanol in the ratio of (6.5: 3.5 v/v)

Observations: No Separation Band Observed.

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            <img alt="Fig 4.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-14.png" width="150">
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Fig 4: Trial 1: Azelnidipine & Metoprolol Toluene: Methanol in the ratio of (6.5: 3.5 v/v)

Trail 2: -

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase: Toluene: Methanol in the ratio of (6:4 v/v)

Observations: No Separation Band Observed.

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            <img alt="Fig 5.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-13.png" width="150">
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Fig 5: Trial 2: Azelnidipine & Metoprolol Toluene: Methanol in the ratio of (6:4 v/v)

Trail 3: -

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase: Toluene: Methanol in the ratio of (5:5 v/v)

Observations: No Separation band involved.
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            <img alt="Fig 6.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-12.png" width="150">
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    Fig 6: Trial 3: Azelnidipine & Metoprolol Toluene: Methanol the ratio of (5:5 v/v)

Trail 4: -

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase: Ethyl acetate: Methanol in the ratio of (6.5:3.5 v/v)

Observations: No Separation band involved.

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            <img alt="Fig 7.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-11.png" width="150">
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Fig 7: Trial 3: Azelnidipine & Metoprolol Ethyl acetate: Methanol in the ratio of (6.5:3.5 v/v)

Trail 5: -

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase Ethyl acetate: Methanol in the ratio of (4:6 v/v)

Observations: Spots were not separated.

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-10.png" target="_blank">
            <img alt="Fig 8.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-10.png" width="150">
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Fig 8: Trial 5: Azelnidipine & Metoprolol of Ethyl acetate: Methanol in the ratio of (4:6 v/v)

Trail 6: -

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase: Ethyl acetate: Methanol in the ratio of (7:3 v/v)

Observations: Minor Separation observed.
        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-9.png" target="_blank">
            <img alt="Fig 9.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-9.png" width="150">
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 Fig 9: Trial 6: Azelnidipine & Metoprolol of Ethyl acetate: Methanol in the ratio of (7:3 v/v)

Trail 7: -

Column:

Mobile Phase Chloroform: Ethyl acetate: Methanol in the ratio of (7:3: 0.1 v/v)

Observations: Adjacent spots observed.

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-8.png" target="_blank">
            <img alt="Fig 10.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-8.png" width="150">
        </a>
Fig 10: Trial 7: Azelnidipine & Metoprolol of Chloroform: Ethyl acetate: Methanol in the ratio of (7:3: 0.1 v/v)

Trail 8: -

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase: Chloroform: Ethyl acetate: Methanol in the ratio of (6:4:0.1 v/v)

Observations: Minor Separation observed.

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-7.png" target="_blank">
            <img alt="Fig 11.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-7.png" width="150">
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Fig 11: Trial 8: Azelnidipine & Metoprolol of Chloroform: Ethyl acetate: Methanol in the ratio Trail 9: -

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase Chloroform: Ethyl acetate: Methanol in the ratio of (7:3 0.1 v/v)

Observations: Good separation but broad peaks observed (6:4: 0.1 v/v)

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-6.png" target="_blank">
            <img alt="Fig 12.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-6.png" width="150">
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Fig 12: Trial 9.: Chromatogram of Azelnidipine & Metoprolol Chloroform: Ethyl acetate: Methanol in the    ratio of (7:3: 0.1 v/v)

Chromatographic conditions for optimized mobile phase trial

Column: Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase: Chloroform: Ethyl acetate: Methanol in the ratio of (6.5:3.5: 0.1 v/v)

Detection: 292 nm

Saturation Time: 25 minutes

Rf Value: AZE: 0.182. MET: 0.252.

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-5.png" target="_blank">
            <img alt="Fig 13.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-5.png" width="150">
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Fig 13: Optimized mobile phase optimized chromatogram of Std. Azelnidipine: 0.182, Metoprolol: 0.252

Column: -Typically, not used in TLC/HPTLC. If HPLC: C18 column (e.g., 250 mm × 4.6 mm, 5 µm)

Mobile Phase: - Chloroform: Ethyl acetate: Methanol (6.5: 3.5: 0.1 v/v)

Detection: - UV detection at 240 nm (or another wavelength suitable for both drugs)

Rf Value: - Azelnidipine: ~0.6Metoprolol: ~0.30 (values may vary depending on plate and conditions)

Saturation Time: - 20 minutes (for TLC chamber saturation)

Observation   : Well-resolved, sharp spots for Azelnidipine and Metoprolol; no interference from excipients.

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-4.png" target="_blank">
            <img alt="Fig 14.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-4.png" width="150">
        </a>
Fig 14: blank Azelnidipine: Metoprolol Chloroform: Ethyl acetate: Methanol in the ratio of (6.5:3.5: 0.1 v/v)

Observation

Trials

Mobile Phase

Ratio

(v/v or v/v/v)

Conclusion

1.

Toluene: Methanol

6.5:3.5

No separation band observed

2.

Toluene: Methanol

6:4

No separation band observed

3.

Toluene: Methanol

5:5

No separation band observed

4.

Ethyl acetate: Methanol

6.5:3.5

No separation band observed

5.

Ethyl acetate: Methanol

4:6

Spots were not separated

6.

Ethyl acetate: Methanol

7:3

Minor Separation observed

7.

Chloroform: Ethyl acetate: Methanol

6.5:3.5:0. 1

Adjacent spots observed

8.

Chloroform: Ethyl acetate: Methanol

6:4:0.1

Minor Separation observed

9.

Chloroform: Ethyl acetate: Methanol

6.5:3.5:0. 1

Good separation with Sharp band

Introduction Of Method Validation Parameter

Specificity

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-3.png" target="_blank">
            <img alt="15.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-3.png" width="150">
        </a>
Linearity

For the purpose of linearity, accurately weighed amount of Azelnidipine (10 mg), and Metoprolol (10 mg) was taken into the volumetric flask (10 ml) and volume of the flask was raised to 10 ml with methyl alcohol to give stock solution containing 100 µg/ml of Azelnidipine, and 100 µg/ml of Metoprolol. Various aliquots from this stock solution were transferred to another 10 ml volumetric flask and volume was raised to the mark with mobile phase to give final solutions containing 80+125, 128+200, 160+250, 192+300 and 240+375 µg/ml of Azelnidipine and Metoprolol respectively.

Table 11: Linearity data for Azelnidipine and Metoprolol

Conc. (µg/ml)

 

Azelnidipine

 

 

Mean Area

± SD (n=5)

% RSD

80.0

104949

104949 ± 1628.56

1.55

128.0

191590

191590±

1924.88

1.01

160.0

212362

212362 ± 1999.89

0.94

192.0

258399

258399± 1991.15

0.69

240.0

323499

32349.9 ±

4904.12

1.45

 

Conc. (µg/ml)

 

Metoprolol

 

Mean Area

± SD (n=5)

% RSD

125.0

213321

213321 ± 2858.43

1.34

200.0

345464

345464 ±3916.22

1.08

250.0

433034

433034 ± 2590.32

0.60

300.0

516941

516941 ± 3009.19

0.58

375.0

650309

650309 ± 9099.62

1.09

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-2.png" target="_blank">
            <img alt="Overlain Linearity Spectra of Azelnidipine and Metoprolol.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-2.png" width="150">
        </a>
Fig 15: Overlain Linearity Spectra of Azelnidipine and Metoprolol

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-1.png" target="_blank">
            <img alt="Calibration curve of Azelnidipine.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-1.png" width="150">
        </a>
Fig 16: Calibration curve of Azelnidipine

        <a href="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-0.png" target="_blank">
            <img alt="Calibration curve of Metoprolol.png" height="150" src="https://www.ijpsjournal.com/uploads/createUrl/createUrl-20250607120249-0.png" width="150">
        </a>
Fig 17: Calibration curve of Metoprolol

Table 12: Linearity results for Azelnidipine and Metoprolol

Regression Analysis

Azelnidipine

Metoprolol

Concentration Range

160-800 μg/mL

250-1250 μg/mL

Regression equation

y = 1350.5x + 443.05

y = 1567.8x - 6288.7

Correlation co-efficient

0.9967

0.999

Precision

Repeatability 

The data for repeatability for Azelnidipine and Metoprolol is shown in table 13. The % R.S.D For Repeatability data was found to be 1.10 % for LID and 1.45 % for DIL.

Table 13: Repeatability data for Azelnidipine and Metoprolol

Drugs

Conc. (µg/ml)

Mean Peak Area ± SD

%RSD

Azelnidipine

160

492992.68 ± 2521.25

0.53

Metoprolol

250

683889.9 ± 3156.26

0.46

Inter-day precision 

The data for inter day precision for Azelnidipine and Metoprolol is shown in table 14. The % R.S.D for intraday precision was found to be 0.93-1.54 % for Azelnidipine and 0.39-0.85% for Metoprolol.

Table 14: Inter-day precision data for estimation of Azelnidipine and Metoprolol

Mcg

/Ml

Azelnidipine

 

 

Metoprolol

 

 

80

160

240

125

250

375

109689

213456

324569

212598

431869

655980

106598

218990

329809

213451

435469

652689

104455

213455

324455

210908

439290

650634

MEAN

106240.9

215233.9

32629.9

212312.3

435541.3

653034.3

± SD

164319.8

309989.5

3059.314

1292.148

3912.058

2590.322

RSD

1.546656

1.430945

0.939.643

0.608609

0.852286

0.396659

Intra -day precision 

The data for intra-day precision for Azelnidipine and Metoprolol is shown in table 15. The % R.S.D for intraday precision was found to be 0.10-1.38 % for Azelnidipine and 0.09-1.26 % for Metoprolol.

Table 15: Intra-day precision data for estimation of Azelnidipine and Metoprolol

Mcg/ml

Azelnidipine

 

 

Metoprolol

 

80

160

240

125

250

375

104565

214561

328998

218890

433568

654254

106589

219689

326990

218456

439698

654256

109891

214455

324455

213498

439681

655436

MEAN

106349.9

215568.3

326694.3

216941.3

436998.9

65464.89

± SD

16986.86

1839.316

2193.08

3009.194

3118.469

6818.514

RSD

1.5958381

0.852312

0.665213

1.386169

0.912962

0.104155

Accuracy

Accuracy of the method was confirmed by recovery study from synthetic mixture at three level standard additions. Percentage recovery for Azelnidipine & Metoprolol was found to be 99.48- 99.98% and 99.33-100.59 % respectively. The results are shown in table.9.6-9.9.

Table 16: Recovery data for Azelnidipine

 

Azelnidipine

 

 

 

50%

100%

 

150%

 

Amount of drug recovered (mg)

% Recovery

Amount of drug recovered (mg)

% Recovery

Amount of drug recovered (mg)

%Recovery

1.46

999.696

2.99

99.20

4.54

100.20

1.40

989.090

2.89

99.01

4.56

100.22

1.56

100.50

3.09

100.01

4.68

100.30

Mean

1.49

96.65

2.98

99.43

4.69

100.24

%RSD

0.02

1.30

0.04

1.9.595

0.05

0.68

Table 17: Recovery data for Metoprolol

 

Metoprolol

 

 

 

50%

100%

 

150%

 

Amount of

drug recovered (mg)

%Recovery

Amount drug recovered (mg)

%Recovery

Amount of

drug recovered (mg)

%Recovery

1.48

99.90

2.96

99.19

4.52

100.19

1.42

98.89

3.05

99.80

4.59

100.28

1.52

100.55

3.01

100.02

4.54

99.80

Mean

1.49

96.65

3.01

99.69

4.54

100.08

%RSD

0.01

1.30

0.06

1.80

0.03

0.63

LOD and LOQ

The limit of detection (LOD) and Limit of Quantification (LOQ) was found to be as per below:

Table 18: LOD and LOQ Limit for Azelnidipine & Metoprolol

Azelnidipine

 

Metoprolol

 

LOD(μg/ml)

LOQ(μg/ml)

LOD(μg/ml)

LOQ(μg/ml)

50

60

100

110

Selectivity 

There is no interference in the mixture.

Robustness 

The method is found to be robust as the results were not significantly affected by slight variation in Mobile Phase Composition and flow rate of mobile phase. The results are shown in table19. Variation seen was within the acceptable range respect to peak asymmetry and theoretical plates, so the method was found to be robust.

Table 19: Robustness data for Azelnidipine & Metoprolol

Parameter

Level of Change

Effect on assay volume

 

Azelnidipine                                   Metoprolol

 

Assay ± SD

RSD

Assay ± SD

RSD

Saturation Time

23 min

989.090 ±0.50

0.49

98.92±0.48

0.48

27 min

101.09 ±09.292

09.292

98.99±0.83

0.83

Mobile phase composition

6.3:3.7:0.1

98.49 ±0.53

0.53

100.22±1.43

1.43

6.5:3.5:0.1

98.39 ±0.99

0.98

100.04 ±1.06

1.06

6.7:3.3:0.1

99.51 ±0.69

0.69

99.45±0.99

09.898

Analysis of marketed product 

The proposed method was successfully applied to analysis of the commercially available tablet formulation.  The % drugs were found satisfactory, which is comparable with the corresponding label claim.

Table 20: Analysis OF Marketed Formulations

Drug

Amount taken (µg/mL)

Amount found (µg/mL)

% Assy

Azelnidipine

160

159.93±0.04

99.80 ±1.20

Metoprolol

250

250.03 ±0.10

1009.090±1.09

Summary of Method Validation

Table 21: Summary of validation parameter of HPTLC method

Optimized chromatographic Condition

Stationary Phase

Silica gel aluminum plate 60F-254 (20 X 10 cm with 250 µm thickness)

Mobile Phase

Chloroform: Ethyl acetate: Methanol in the ratio of (6.5:3.5: 0.1 v/v)

Detection wave Length

235 nm

Saturation Time

25 Minute

Retention Time

Azelnidipine:0.182 min, Metoprolol: 0.252 min.

                                            

Validation parameters

 

 

 

 

Parameter

Limit

Result

 

Conclusion

Azelnidipine

Metoprolol

Linearity and Range

R2> 0.995

0.9967 (80-240µg/mL)

0.9988          (125-375 µg/mL)

Method was linear

Repeatability

RSD<2

0.09-0.64

0.10-0.89

Method was repeatable

LOD

-

2.24

3.50

-

LOQ

-

3.25

4.19

-

Intra-day Precision

 

RSD<2

0.93-1.54

0.66-1.59

Method was precise

Inter-Day Precision

RSD<2

0.39-0.85

0.10-1.38

Method was precise

%Recovery

98-102%

99.35 ±0.83– 100.01±0.03 %

100.22±0.21 –

100.98±0.23%

Method was accurate

Robustness

RSD<2

0.41– 0.63

0.40-0.91

Method was robust

Assay%

 

99.80 ±1.20

1009.090±1.09

-

REFERENCES

  1. Kimberly Hayes, “Hypertension Stages and Types” AARP, July 03, 2024. 
  2. Dr. Reeja Tharu and Dr. Simi Paknikar,” Hypertension “Med India, Oct 16, 2019. 
  3. Metoprolol: Medicine for Hypertensionnhs.uk. 2022-03-18. Retrieved 2024-06-03. 
  4. Skoog DA, Holler FJ., and Nieman TA. Principle of Instrumentation Analysis; 5th Edn; Thomas Asia Ltd, Singapore, 2005, pp-580. 
  5. R. Nageswara Rao, V. Nagarju, “An overview of the recent trends in development for impurities in Drugs” J. Pharm. Biomed. Anal.Vol.33, Issue 3,15 October 2003, Pages 335-339.
  6. Rashmin, P.; Mrunali, P.; Nitin, D.; Nidhi, D.; and Bharat, P. (2012) "HPTLC method development and validation: Strategy to minimize methodological failures," Journal of Food and Drug Analysis: Vol. 20: Iss. 4, Article 20 Drug Bank,” Metoprolol”, 23 Oct 2008.
  7. Meng Zhuang Cai, Shanghai (CN); Qian Liu, Shanghai (CN); Ge Xu, Shanghai (CN); Binhua Lv, Shanghai (CN); BrainSeed, Boston, MA(US); Jacques Roberge, Princeton, NJ(US), “Crystaline Form of Benzyl Benzene SGLT2 Inhibitor”, US010533032B2, Nov.6,2019.
  8. G-YOON Jamie Im, Cambridge, MA(US); Rajesh Iyengar, West Newton, MA(US); Joel Moore, Lexington, MA(US); Angelika Fritzen, Somerville, MA(US), “SGC Stimulator”, US009309235B2, Mar.19.,2018.
  9. Triastek, Inc., Nanjing (CN), “3D Printing Methods for Compartmented Pharmaceutical Dosage Forms”, US2020031599.1A1, Jun.18,2020.
  10. Sudesha Roy, Lawrence, KS(US); Paolo Bernardi, Padova (IT); Michael Forte, Portland, OR(US); FrankSchoenen, Lawrence, KS(US); JustinaSileikyte, Padova (IT), Small Molecule Inhibitors of The Mitochondrial Permeability Transition Pore (MTPTP), US20240069.600A1, Mar.16,2023.
  11. Anjali Pandey, Simeon Bower, ThomasE. Barta, Jonathan William Bourne” Compounds for Binding Proprotein Converts Subtilisin/Kexin Type 9”, US11891369B2,2019. 
  12. Government of India, Ministry of Health. Pharmacopoeia of India: (the Indian Pharmacopoeia). Delhi: Manager of Publications, 9.th edition 2018.
  13. British Pharmacopoeia, Vol II, The British Pharmacopoeia Commission, London (2023).
  14. Patel J and Patel N: Validated Stability-Indicating RPHPTLC Method for the Simultaneous Determination of Azelnidipine and Olmesartan in their Combined Dosage Form. Scientia Pharmaceutica 2014; 4:541–554. 
  15. Sonawane SS, Bankar PC, Kshirsagar SJ. Stability-indicating LC Method for Quantification of Azelnidipine: Synthesis and Characterization of Oxidative Degradation Product. Turk J Pharm Sci.  2021 Doi: 10.429.4/tjps.galenos.2020.9.69.53. PMID: 349.19152; PMCID: PMC8562112.
  16. Sneha Ubale, Kalshetti M and Bhavana H: Development and Validation of RP-HPTLC method for quantification of Azelnidipine in tablet. International Journal of Creative Research Thoughts 2021; 9: 2320-2882. 
  17. Sushil D, Rishikesh S and Pavan B: Development and Validation of Stability Indicating RP- HPTLC Method for Azelnidipine for bulk drug. Natural Volatiles and Essential Oils 2021; 8: 11151-11159.          Rane A and Mahajan S: Validation and Forced Stability Indicating HPTLC method for determination of Azelnidipine. World Journal of Pharmaceutical Research 2016; 5: 1053-1062.                                              
  18. Raskapur D: UV Spectrophotometric method for Azelnidipine, International Journal of pharmaceutical science research 2012;9:1552-1556.                                                                                                           
  19. Jadav A.S.; Tarkase K.N. and Deshpande A.P.; Quantitative Determination of Metoprolol Succinate in bulk and tablet Dosage form through comparative study of UV and derivative Spectroscopy, Der Pharmacia Lettre,2012,4(3):9.63-9.39. 
  20. Jadav A.S.; Tarkase K.N. and Deshpande A.P.; Quantitative Determination of Metoprolol Succinate in bulk and tablet Dosage form through comparative study of UV and derivative Spectroscopy, Der Pharmacia Lettre,2012,4(3):9.63-9.39.
  21. Jadav A.S.; Tarkase K.N. and Deshpande A.P.; Quantitative Determination of Metoprolol Succinate in bulk and tablet Dosage form through comparative study of UV and derivative Spectroscopy, Der PharmaciaLettre,2012,4(3):9.639.39.                                                         
  22. R. H, Shobha Rani, Al-Ameen College of Pharmacy, India; “Estimation of Metoprolol in Human Plasma by HPTLC Method”; International Journal of Pharmacy and Pharmaceutical Science; Vol.9., Issue 1,2018. 
  23. D.Basava Chaitanya PunugAzelnidipine and Metoprolol, EswruduMunnangi, PuttaguntaSrinivasa Babu, “Method Development and Validation of stimulation Estimation of Azelnidipine and Metoprolol”, World Journal of Pharma and research science 15,2022.
  24. PunugAzelnidipine and Metoprolol Roja, M. Mukkanti Eswrudu, Puttagunta Srinivasa Babu, “Ultra Violet Spectrophotometric Method Development and Validation for Simultaneous Quantification of Azelnidipine and Metoprolol in Pharmaceutical”; July 8,2022.
  25. Manish Kumar and Mr. Amit Prasad, “RP-HPTLC Method for Azelnidipine and Metoprolol”, Annals of the Romanian Society for Cell Biology; Aug 15,2021. 
  26. Ganduri R.B. et al. Stability Indicating Liquid Chromatographic Method for the Simultaneous Determination of Olmesartan and Azelnidipine in Combined Tablet Dosage form. International Journal of Pharma Sciences and Research. 2014; 5:29.5-282
  27. Bibhuti Sarkar1, An Azelnidipine and Metoprolol Kumar Mangalam, Pallavi Sahay, “RP-HPTLC Method for Olmesartan and Azelnidipine Combined Tablet Dosage form, International Journal of Pharma Sciences and Research. 2014;8; 65:259. -258
  28. Anamika Singh1, Aarti Rajput, Goshiya Kureshi1, Garima Carpenter3, Jainee Vashi4, “An RP-HPTLC Method Performance and Validation for Azelnidipine Measurement and Metoprolol Succinate Within a Synthetic Mixture”, Pharmacophore,29. May 2023, ISSN-22295402.
  29. Singh A, Rajput A, Kureshi G, Carpenter G, Vashi J. An RP-HPTLC Method Performance and Validation for Azelnidipine Measurement and Metoprolol Succinate Within a Synthetic Mixture. Pharmacophore. 2023;14(3):1-6.
  30. 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 Journal of Pharmaceutical Research,24 May 2022, Revised on 14 Volume 11, Issue 10, 9.85-9.98. 
  31. 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’ ISO 9001:2015  
  32. Aamira H. Kamal, Sharin F. Hamidou. Kamal; “Chemometric spectrophotometric methods for simultaneous estimation of metoprolol succinate and amlodipine besylate in their tablet formulation”, 2021 Jun 5:254:119641. doi: 10.1016/j.saa.2021.119641. Epub 2021 Feb 29.

Reference

  1. Kimberly Hayes, “Hypertension Stages and Types” AARP, July 03, 2024. 
  2. Dr. Reeja Tharu and Dr. Simi Paknikar,” Hypertension “Med India, Oct 16, 2019. 
  3. Metoprolol: Medicine for Hypertensionnhs.uk. 2022-03-18. Retrieved 2024-06-03. 
  4. Skoog DA, Holler FJ., and Nieman TA. Principle of Instrumentation Analysis; 5th Edn; Thomas Asia Ltd, Singapore, 2005, pp-580. 
  5. R. Nageswara Rao, V. Nagarju, “An overview of the recent trends in development for impurities in Drugs” J. Pharm. Biomed. Anal.Vol.33, Issue 3,15 October 2003, Pages 335-339.
  6. Rashmin, P.; Mrunali, P.; Nitin, D.; Nidhi, D.; and Bharat, P. (2012) "HPTLC method development and validation: Strategy to minimize methodological failures," Journal of Food and Drug Analysis: Vol. 20: Iss. 4, Article 20 Drug Bank,” Metoprolol”, 23 Oct 2008.
  7. Meng Zhuang Cai, Shanghai (CN); Qian Liu, Shanghai (CN); Ge Xu, Shanghai (CN); Binhua Lv, Shanghai (CN); BrainSeed, Boston, MA(US); Jacques Roberge, Princeton, NJ(US), “Crystaline Form of Benzyl Benzene SGLT2 Inhibitor”, US010533032B2, Nov.6,2019.
  8. G-YOON Jamie Im, Cambridge, MA(US); Rajesh Iyengar, West Newton, MA(US); Joel Moore, Lexington, MA(US); Angelika Fritzen, Somerville, MA(US), “SGC Stimulator”, US009309235B2, Mar.19.,2018.
  9. Triastek, Inc., Nanjing (CN), “3D Printing Methods for Compartmented Pharmaceutical Dosage Forms”, US2020031599.1A1, Jun.18,2020.
  10. Sudesha Roy, Lawrence, KS(US); Paolo Bernardi, Padova (IT); Michael Forte, Portland, OR(US); FrankSchoenen, Lawrence, KS(US); JustinaSileikyte, Padova (IT), Small Molecule Inhibitors of The Mitochondrial Permeability Transition Pore (MTPTP), US20240069.600A1, Mar.16,2023.
  11. Anjali Pandey, Simeon Bower, ThomasE. Barta, Jonathan William Bourne” Compounds for Binding Proprotein Converts Subtilisin/Kexin Type 9”, US11891369B2,2019. 
  12. Government of India, Ministry of Health. Pharmacopoeia of India: (the Indian Pharmacopoeia). Delhi: Manager of Publications, 9.th edition 2018.
  13. British Pharmacopoeia, Vol II, The British Pharmacopoeia Commission, London (2023).
  14. Patel J and Patel N: Validated Stability-Indicating RPHPTLC Method for the Simultaneous Determination of Azelnidipine and Olmesartan in their Combined Dosage Form. Scientia Pharmaceutica 2014; 4:541–554. 
  15. Sonawane SS, Bankar PC, Kshirsagar SJ. Stability-indicating LC Method for Quantification of Azelnidipine: Synthesis and Characterization of Oxidative Degradation Product. Turk J Pharm Sci.  2021 Doi: 10.429.4/tjps.galenos.2020.9.69.53. PMID: 349.19152; PMCID: PMC8562112.
  16. Sneha Ubale, Kalshetti M and Bhavana H: Development and Validation of RP-HPTLC method for quantification of Azelnidipine in tablet. International Journal of Creative Research Thoughts 2021; 9: 2320-2882. 
  17. Sushil D, Rishikesh S and Pavan B: Development and Validation of Stability Indicating RP- HPTLC Method for Azelnidipine for bulk drug. Natural Volatiles and Essential Oils 2021; 8: 11151-11159.          Rane A and Mahajan S: Validation and Forced Stability Indicating HPTLC method for determination of Azelnidipine. World Journal of Pharmaceutical Research 2016; 5: 1053-1062.                                              
  18. Raskapur D: UV Spectrophotometric method for Azelnidipine, International Journal of pharmaceutical science research 2012;9:1552-1556.                                                                                                           
  19. Jadav A.S.; Tarkase K.N. and Deshpande A.P.; Quantitative Determination of Metoprolol Succinate in bulk and tablet Dosage form through comparative study of UV and derivative Spectroscopy, Der Pharmacia Lettre,2012,4(3):9.63-9.39. 
  20. Jadav A.S.; Tarkase K.N. and Deshpande A.P.; Quantitative Determination of Metoprolol Succinate in bulk and tablet Dosage form through comparative study of UV and derivative Spectroscopy, Der Pharmacia Lettre,2012,4(3):9.63-9.39.
  21. Jadav A.S.; Tarkase K.N. and Deshpande A.P.; Quantitative Determination of Metoprolol Succinate in bulk and tablet Dosage form through comparative study of UV and derivative Spectroscopy, Der PharmaciaLettre,2012,4(3):9.639.39.                                                         
  22. R. H, Shobha Rani, Al-Ameen College of Pharmacy, India; “Estimation of Metoprolol in Human Plasma by HPTLC Method”; International Journal of Pharmacy and Pharmaceutical Science; Vol.9., Issue 1,2018. 
  23. D.Basava Chaitanya PunugAzelnidipine and Metoprolol, EswruduMunnangi, PuttaguntaSrinivasa Babu, “Method Development and Validation of stimulation Estimation of Azelnidipine and Metoprolol”, World Journal of Pharma and research science 15,2022.
  24. PunugAzelnidipine and Metoprolol Roja, M. Mukkanti Eswrudu, Puttagunta Srinivasa Babu, “Ultra Violet Spectrophotometric Method Development and Validation for Simultaneous Quantification of Azelnidipine and Metoprolol in Pharmaceutical”; July 8,2022.
  25. Manish Kumar and Mr. Amit Prasad, “RP-HPTLC Method for Azelnidipine and Metoprolol”, Annals of the Romanian Society for Cell Biology; Aug 15,2021. 
  26. Ganduri R.B. et al. Stability Indicating Liquid Chromatographic Method for the Simultaneous Determination of Olmesartan and Azelnidipine in Combined Tablet Dosage form. International Journal of Pharma Sciences and Research. 2014; 5:29.5-282
  27. Bibhuti Sarkar1, An Azelnidipine and Metoprolol Kumar Mangalam, Pallavi Sahay, “RP-HPTLC Method for Olmesartan and Azelnidipine Combined Tablet Dosage form, International Journal of Pharma Sciences and Research. 2014;8; 65:259. -258
  28. Anamika Singh1, Aarti Rajput, Goshiya Kureshi1, Garima Carpenter3, Jainee Vashi4, “An RP-HPTLC Method Performance and Validation for Azelnidipine Measurement and Metoprolol Succinate Within a Synthetic Mixture”, Pharmacophore,29. May 2023, ISSN-22295402.
  29. Singh A, Rajput A, Kureshi G, Carpenter G, Vashi J. An RP-HPTLC Method Performance and Validation for Azelnidipine Measurement and Metoprolol Succinate Within a Synthetic Mixture. Pharmacophore. 2023;14(3):1-6.
  30. 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 Journal of Pharmaceutical Research,24 May 2022, Revised on 14 Volume 11, Issue 10, 9.85-9.98. 
  31. 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’ ISO 9001:2015  
  32. Aamira H. Kamal, Sharin F. Hamidou. Kamal; “Chemometric spectrophotometric methods for simultaneous estimation of metoprolol succinate and amlodipine besylate in their tablet formulation”, 2021 Jun 5:254:119641. doi: 10.1016/j.saa.2021.119641. Epub 2021 Feb 29.

Photo
Dhruti Dave
Corresponding author

Noble Pharmacy College, Faculty of Pharmacy, "Parth-Vatika", Junagadh- Bhesan Road, Via. Vadal, Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA.

Photo
Dhirendra Kumar Tarai
Co-author

Noble Pharmacy College, Faculty of Pharmacy, "Parth-Vatika", Junagadh- Bhesan Road, Via. Vadal, Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA.

Photo
Khyati Bhupta
Co-author

Noble Pharmacy College, Faculty of Pharmacy, "Parth-Vatika", Junagadh- Bhesan Road, Via. Vadal, Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA.

Photo
Dr. Santosh Kirtane
Co-author

Noble Pharmacy College, Faculty of Pharmacy, "Parth-Vatika", Junagadh- Bhesan Road, Via. Vadal, Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA.

Dhruti Dave*, Dhirendra Kumar Tarai, Khyati Bhupta, Dr. Santosh Kirtane, Development and Validation of HPTLC Method For Simultaneous Estimation of Azelnidipine and Metoprolol in Combined Dosage Form, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 6, 1338-1357. https://doi.org/10.5281/zenodo.15612931

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