ISSN: 2278-0238

International Journal of Research and Development in Pharmacy & Life Sciences
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Research Article   
  • Int J Res Dev Pharm L Sci, Vol 10(4)

Development and Validation of UV Spectroscopic and HPTLC Methods for Simultaneous Estimation of Dapagliflozin and Metoprolol in Synthetic Mixture

Nidhi Tadvi*, Krishna Kalsara and Umesh Upadhyay
Department of Pharmaceutical Quality Assurance, Sigma Institute of Pharmacy, Gujarat, India
*Corresponding Author: Nidhi Tadvi, Department of Pharmaceutical Quality Assurance, Sigma Institute of Pharmacy, Gujarat, India, Email: nidhitadvi05288@gmail.com

Received: 10-Jul-2024 / Manuscript No. ijrdpl-24-141301 / Editor assigned: 13-Jul-2024 / PreQC No. ijrdpl-24-141301 (PQ) / Reviewed: 27-Jul-2024 / QC No. ijrdpl-24-141301 / Revised: 30-Jul-2024 / Manuscript No. ijrdpl-24-141301 (R) / Published Date: 02-Aug-2024

Abstract

A Specific, Precise, Accurate, Robust and cost-effective UV spectroscopic and HPTLC methods were developed for simultaneous determination of Dapagliflozin (DAPA) and Metoprolol (METO) in their synthetic mixture. The developed methods proved to be simpler in procedure and produced more accurate results. The result of analysis was validated according to ICH Guidelines. This simple and precise method can be used of both drug in quality control laboratories. For HPTLC the drugs were separated by Camag Linomate 5 sample applicator with a 100-μL applicator syringe. Chromatography was performed on 10 cm × 10 cm aluminium TLC plates precoated with silica gel 60-F254. Plates were developed in a mobile phase consisting of toluene/ chloroform/ methanol/ glacial acetic acid (4.5/2/3/0.5, v/v/v/v). Developed plate subjected to densitometric measurement in absorbance mode at wavelength 235 nm using Camag TLC scanner. The % RSD Value was found for the validation parameter that indicate the preciseness of the proposed method and is applicable for routine analysis for quantitative determination of Dapagliflozin (DAPA) and Metoprolol (METO) in bulk as well as synthetic mixture.

Introduction to Disease

According to a 2023 paper, more than 64 million people worldwide have heart failure (HF), which is a life-threatening syndrome that causes poor quality of life, high costs, and significant morbidity and mortality. Heart failure is a prolonged, gradual disease categorized by failure of the heart muscles to supply enough blood to meet the nutritious and oxygen need of the body [1].

Introduction to Drugs

Dapagliflozin

Dapagliflozin is a sodium-glucose cotransporter 2 (SGLT2) inhibitor, and it was the first SGLT2 inhibitor to be approved. Dapagliflozin was approved by FDA in Jan 2014. indicated for managing diabetes mellitus Type-2. When combined with diet and exercise in adults, dapagliflozin helps to improve glycemic control by inhibiting glucose reabsorption in the proximal tubule of the nephron and causing glycosuria [2].

Metoprolol

Metoprolol was developed since 1969 by US Pharmaceutical Holdings and FDA approved in 1978. Metoprolol is a selective beta-1 blocker commonly employed as the succinate and tartrate derivatives depending if the formulation is designed to be of immediate release or extended release. Metoprolol is a beta-1-adrenergic receptor inhibitor specific to cardiac cells with negligible effect on beta-2 receptors. This inhibition decreases cardiac output by producing negative chronotropic and inotropic effects without presenting activity towards membrane stabilization nor intrinsic sympathomimetics [3].

Introduction of UV VIS Spectroscopy

UV-Vi’s spectroscopy, short for Ultraviolet-Visible spectroscopy, is a technique used to analyze the interaction of matter with light within the ultraviolet and visible regions of the electromagnetic spectrum. This analytical method is widely applied in various fields, including chemistry, biochemistry, pharmaceuticals, environmental science, and materials science, due to its versatility and sensitivity.

Introduction of High-Performance Thin-Layer Chromatography

High-Performance Thin-Layer Chromatography (HPTLC) is a powerful chromatographic technique used for the separation, identification, and quantification of chemical compounds in complex mixtures. It's an advanced version of traditional thin-layer chromatography (TLC) that offers enhanced resolution, sensitivity, and reproducibility [4].

Validation of Analytical Method

Validation is the process of establishing documentary evidence that a procedure or process is suitable for its intended use. It involves collecting and evaluating data generated from the process or method used in making a product. Method validation data provide information which enables the comparability of results from samples analyzed in different laboratories and using different methods to be assessed.

Drug Profile

(Table 1, Table 2 and Table 3)

Name Dapagliflozin
IUPAC Name (2S,3R,4R,5S,6R)-2-[4-Chloro-3-(4-ethoxybenzyl) phenyl]- 6-(hydroxymethyl)tetrahydro-2H-pyran-3,4,5-triol
Class Sodium glucose co-transporter 2 (SGLT2) inhibitor
CAS NO. 461432-26-8
Molecular Formula C21H25ClO6
Molecular weight 408.88 g/mol
Official Status -
Appearance White to off-white crystalline solid
Physical state Solid
Solubility Soluble in Methanol ,Acetonitrile
pKa 12.6
Melting Point 176- 178ºC
Partition coefficient (log P) 2.52

Table 1: Physiochemical properties of Dapagliflozin.

Name Metoprolol
IUPAC Name 2-[(1R)-3-[bis(propan-2-yl) amino]-1phenylpropyl]- 4-methylphenol
Class Beta Blocker cardio selective
CAS NO. 124937-51-5
Molecular Formula C15H25NO3
Molecular Weight 267.381 g·mol−1
Official Status Official in USP, BP, IP
Appearance White crystalline powder
Physical state Solid
Solubility very soluble in water, and freely soluble in methanol, ethanol and in acetic acid
pKa 9.7
Melting Point 120 -122 0C
Partition Co-efficient 0.6

Table 2: Physiochemical Properties of Metoprolol.

METHOD DAPA METO DAPA+ METO
UV SPECTROPHOTOMETRY -
HPLC -
RP-HPLC  -
LC-MS/MS  -
HPTLC   -
STABILITY INDICATING HPLC METHOD -

Table 3: Literature Summary. 

Aim, Objective and Rational

The primary aim of this research is to develop and validate robust spectrophotometric and chromatographic methods for accurately estimating the concentrations of Dapagliflozin and Metoprolol in a synthetic mixture. Application of developed UV spectroscopic and HPTLC methods for the estimation of Dapagliflozin and Metoprolol in synthetic mixture [5].

The rational use of Dapagliflozin and Metoprolol in patients with heart failure is grounded in their distinct yet complementary mechanisms of action. Dapagliflozin is a sodium-glucose co-transporter-2 (SGLT2) inhibitor known for its ability to reduce heart failure hospitalizations and cardiovascular events, particularly in patients with heart failure with reduced ejection fraction (HFrEF). Metoprolol, on the other hand, is a beta-blocker that has been a cornerstone in the treatment of heart failure for years, helping to reduce heart rate and improve cardiac function [6].

The prescribed dosage involves Dapagliflozin and Metoprolol at 10 mg and 50 mg, respectively.

Justification

Our comprehensive literature survey has revealed an existing gap - there are no reported spectroscopic and chromatographic methods available for the precise determination of Dapagliflozin and Metoprolol, especially when used together.Consequently, this research project holds significant promise at an industrial level, particularly when the formulation incorporating this drug combination enters the market. Dapagliflozin and Metoprolol combination drug currently in phase 3 [7].

Experimental Work

Identification of API

Melting Point Determination  

Melting point of Dapagliflozin and Metoprolol was carried out by melting point apparatus. 10 mg of powdered drug was filled in capillary that was attached with the tip of thermometer in melting point apparatus. Temperature at which the drug powder melted was noted down in melting point apparatus. It was performed in triplicate (Table 4 and Table 5).

Sr. No. Instrument Model No Manufacturer
Ultra Sonicator - Trans-o-sonic
2 UV Visible Spectrophotometer UV 1700 Shimadzu
3 FT-IR Alpha-II Bruker
4 Analytical Weighing Balance AUW 220D Shimadzu

Table 4: List of Instruments and Apparatus.


Drugs
Reported Melting Observed Melting
Dapagliflozin (DAPA) 74-78 °C 76-78°C
Metoprolol (METO) 120°C 120-122 °C

Table 5: Melting Point Study.         

Solubility Study

Solubility of Dapagliflozin (DAPA) and Metoprolol (METO) was performed using various solvents like water, methanol, acetonitrile etc [8] (Table 6).


Drugs
Dapagliflozin (DAPA) Metoprolol (METO)
Water Poorly soluble Soluble
Methanol                                               Soluble Soluble
Acetonitrile Slightly soluble Slightly soluble

Table 6: Solubility Study.

IR Spectra

Drug Dapagliflozin (DAPA) and Metoprolol (METO) was placed in sample compartment of FT-IR instrument, where it was scanned in the range of 4000 - 650cm-1 (Table 7, Table 8, Figure 1 and Figure 2).

research-development-pharmacy-value

Figure 1: IR value for Dapagliflozin.

research-development-pharmacy-Metoprolol

Figure 2: IR Value of Metoprolol.


Sr. No.
Functional Group Standard wavenumber Observed wavenumber
. O-H 3550-3200 3358.3, 3268.9
2. C-H (Aliphatic) 2960-2850 2862, 2907
3. C=C 1675-1600 1613
4. C-O 1300-1000 1271
5 C-Cl 850-550 823.7

Table 7: IR value for Dapagliflozin.

Sr. No. Functional Group Reported Wavenumber Observed Wavenumber
1. Alcohol OH Stretch 3600-3400 3415.97
2. Aromatic Ring 2950-2850 2930.28, 639.53
3. N-H Stretching 1650-1550 1560.67
4. C–O-C 1400-1200 1383.42

Table 8:IR value for Metoprolol.

UV Absorption Study 

Accurately weighed 10 mg of Dapagliflozin (DAPA) and Metoprolol (METO) were transferred separately in 10 ml volumetric flasks, dissolved in small volume of methanol and then volume was adjusted to the mark with methanol to obtain concentration of 1000 µg/ml. These solutions were further diluted to obtain concentration of 10µg/ml. These standard solutions of Dapagliflozin (DAPA) and Metoprolol (METO) in methanol were scanned in UV range, 200- 400 nm in 1 cm cell using methanol as blank and maximum absorbance was measured for selection of λmax of DAPA and METO. Based on solubility, Dapagliflozin (DAPA) and Metoprolol (METO) was soluble in methanol. Hence, methanol was selected as diluent [9].

Preparation of Stock Solution

Accurately weighed and transferred about 10 mg of Dapagliflozin (DAPA) and 50mg of Metoprolol (METO) in to 100 ml of volumetric flask, 50 ml of methanol was added and sonicated to dissolve. Volume was making up to the mark with diluent. Concentration of Dapagliflozin (DAPA) is 100 μg/ml and Metoprolol (METO) 500μg/ml [10].

Selection of Wavelength

In the present study drug solution of dapagliflozin (DAPA) is 10μg/ml and Metoprolol(METO) 50μg/ml solutions was prepared in methanol. The standard solution was then scanned in the UV region of 200-400 nm and the spectrum was taken. Wavelength at which the drug showed good absorbance was selected as a detection wavelength (235nm).

(Figure 3)

research-development-pharmacy-Spectrum

Figure 3: UV Spectrum of Dapagliflozin (DAPA) and Metoprolol (METO) in methanol.

An ideal wavelength is the one that gives Maximum response for the drugs that was to be detected [11].

UV Absorption Study

Q-Absorption Ratio Method

Let it be one drug X and Y According to Q-Absorption ratio method, use the ratio of absorption at two selected wavelengths. One is at iso -absorptive point and other being the λmax of one of the two components. Two equations were constructed as described below, using the relationship ax1=ay1 at λ1 and L=1. Cx= {(QM-Qy)/(Qx-Qy)}×( A1/ax1) ................(8) &

Cy= {(QM-Qx)/(Qy-Qx)}×( A2/ay1) .................(9)

Finally, equation 8 and equation 9 gives the absolute concentration value of drug X & Y (Beckett and Stenlake, 2005). where, A1 and A2 are the absorbance of mixture at 236 nm and 223.80 nm; ax1 and ay1 are absorptivity’s of Dapagliflozin (DAPA) and Metoprolol (METO) at 236 nm and ax2 and ay2 are absorptivity’s of Dapagliflozin (DAPA) and Metoprolol (METO) at 223.80 nm; QM = A2/A1, Qx = ax2/ ax1, Qy = ay2/ay1.

(Figure 4, Figure 5, Figure 6, Figure 7 and Figure 8)

research-development-pharmacy-overlay

Figure 4: UV overlay graph of Dapagliflozin (DAPA) and Metoprolol (METO).

research-development-pharmacy-Zero

Figure 5: Zero-order spectra of 5-25 μg/ml of DAPA.

research-development-pharmacy-order

Figure 6: Zero-order spectra of 50-125 μg/ml of METO.

research-development-pharmacy-spectra

Figure 7: Overlain Zero-order spectra of 5-25 μg/ml of DAPA and 50-125 μg/ml of METO.

research-development-pharmacy-absorptive

Figure 8: Iso-absorptive point of 5-25 μg/ml of DAPA and 50-125 μg/ml of METO.

UV Method

Validation Parameters

1.Linearity and range- Representative calibration curve of Dapagliflozin (DAPA) and Metoprolol (METO) was obtained by plotting the mean absorbance of Dapagliflozin (DAPA) and Metoprolol (METO) against concentration over the range of 5-25 µg/ml and 25-125 µg/ml for DAPA and METO, respectively [12] (Figure 9 and Figure 10)

research-development-pharmacy-Calibration

Figure 9: Calibration curve for DAPA at 236.00 nm.

research-development-pharmacy-curve

Figure 10: Calibration curve for METO at 236.00 nm.

The overlay linearity UV spectrum of DAPA (5-25 µg/ml) and METO (25-125 µg/ml) at 223.80 nm and 236.00nm.

The calibration range was prepared in such a way that the ratio of combination was maintained throughout simultaneous estimation of both drugs in bulk and synthetic mixture [13] (Table 9, Table 10 and Table 11).

Concentration (µg/ml) At 236.00 nm At 223.80 nm
Absorbance
Mean ± SD (n=6)
% RSD Absorbance
Mean ± SD (n=6)
% RSD
5 0.0811 ± 0.0008 0.98 0.1939 ± 0.0020 1.03
10 0.1225 ± 0.0019 1.58 0.3220 ± 0.0032 1.00
15 0.1965 ± 0.0016 0.79 0.5072 ± 0.0031 0.61
20 0.2339 ± 0.0029 1.23 0.6143 ± 00036 0.59
25 0.3033 ± 0.0018 0.59 0.8040 ± 0.0034 0.42
Regression Equation y = 0.0111x + 0.0207 y = 0.0302x + 0.0346
Std. Dev of Intercept 0.00137 0.00119
Average of Slope 0.01116 0.03176
LOD 0.412 µg/ml 0.125 µg/ml
LOQ 1.25 µg/ml 0.377 µg/ml

Table 9: Calibration data of DAPA.

Concentration (µg/ml) At 236.00 nm At 223.80 nm
Absorbance
Mean ± SD (n=6)
% RSD Absorbance
Mean ± SD (n=6)
% RSD
25 0.0731 ± 0.00110 1.51 0.5010 ± 0.00406 0.81
50 0.1184 ± 0.00233 1.97 1.1207 ± 0.00406 0.36
75 0.1910 ± 0.00233 1.22 1.9262 ± 0.00808 0.42
100 0.2494 ± 0.00261 1.05 2.7760 ± 0.03848 1.39
125 0.3238 ± 0.00450 1.39 3.4768 ± 0.05662 1.63
Regression Equation y = 0.0025x + 0.0014 y = 0.0304x - 0.3219
Std. Dev of Intercept 0.0024 0.0191
Average of Slope 0.0127 0.1597
LOD 0.62 µg/ml 0.39 µg/ml
LOQ 1.88 µg/ml 1.19 µg/ml

Table 10: Calibration data of METO.

ax1 0.0111 ay1 0.0025
ax2 0.0302 ay2 0.0304

Table 11: Absorptivity values of DAPA and METO.

Precision

Repeatability

In UV spectroscopic method, repeatability has been carried out by analyzing the sample solution of DAPA and METO repeatability six times and absorbance was measured and % RSD [14] (Table 12) .

Sr. No. DAPA (15 µg/ml) METO (75
µg/ml)
At 236.00nm At 223.80nm
1 0.2017 1.9291
2 0.2017 1.9231
3 0.2022 1.9179
4 0.2003 1.9257
5 0.2007 1.9288
6 0.2017 1.9325
Mean 0.2032 1.9271
SD 0.0020 0.0079
% RSD 0.98 0.41

Table 12: Repeatability data of METO and DAPA.

Intraday and Interday Precision

The precision of method was determined by carrying out Intraday and Interday precision. Intraday precision was determined by analysing sample solution of Dapagliflozin (DAPA) 5, 15, 25 μg/mL and Metoprolol (METO) concentration would be 25,75, 125 μg/mL which covers low, medium, and high concentrations of the calibration curve three times on the same day. Interday precision was determined by analysing sample solutions of Dapagliflozin (DAPA) 5, 15, 25 μg/mL and Metoprolol (METO) concentration would be 25,75, 125 μg/mL which covers low, medium, and high concentrations of the calibration curve on three consecutive days. The absorbance  obtained were used to calculate mean and % RSD values shown in Table.13. The % RSD was found to be less than 2 % which indicate method is precise [15].

(Table 13)

Drug Conc. (µg/ml) Intraday Precision Interday Precision
Absorbance
(Mean ± SD) (n=3)
% RSD Absorbance
(Mean ± SD) (n=3)
% RSD
DAPA 5 0.0802 ± 0.0002 0.25 0.0813 ± 0.0009 1.11
15 0.2007 ± 0.0009 0.45 0.2037 ± 0.0021 1.03
25 0.3003 ± 0.0052 1.73 0.3041 ± 0.0018 0.59
METO 25 0.0728 ± 0.0010 1.37 0.0730 ± 0.0008 1.10
75 0.1967 ± 0.0017 0.86 0.1937 ± 0.0020 1.03
125 0.3261 ± 0.0045 1.37 0.3278 ± 0.0060 1.83

Table 13: Precision data at 236.00nm.

(Table 14)

Drug Conc. (µg/ml) Intraday Precision Interday Precision
Absorbance
(Mean ± SD) (n=3)
% RSD Absorbance
(Mean ± SD) (n=3)
% RSD
DAPA 5 0.1951 ± 0.0012 0.61 0.1933 ± 0.0026 1.34
15 0.5083 ± 0.0038 0.75 0.5146 ± 0.0066 1.28
25 0.8058 ± 0.0041 0.51 0.8111 ± 0.0058 0.72
METO 25 0.5041 ± 0.0030 0.59 0.5010 ± 0.0073 1.46
75 1.9273 ± 0.0053 0.27 1.9507 ± 0.0162 0.83
125 3.4925 ± 0.0621 1.78 3.5157 ± 0.0540 1.54

Table 14: Precision data at 223.80nm.

Accuracy

Accuracy of the method was confirmed by recovery study from synthetic mixture at three levels 50%, 100% and 150% of standard addition. The data shown in Table 15  indicate that the developed method is accurate. The % recovery of DAPA and METO was found to be in range of 98.00 – 102% (Table 15).

Drug % Level of spike Amount of drug in sample
(μg/ml)
Amount of std. added
(μg/ml)
Total amount of drug
(μg/ml)
Total amount of std. found (μg) Mean ± SD (n=3) %
Recovery
DAPA 0 10 0 10 9.97 ± 0.125 99.7
50 10 5 15 15.29 ± 0.21 101.93
100 10 10 20 19.98 ± 0.24 99.9
150 10 15 25 25.31 ± 0.84 101.24
METO 0 50 0 50 49.79 ± 3.60 99.58
50 50 25 75 76.43 ± 1.03 101.91
100 50 50 100 98.27 ± 1.07 98.27
150 50 75 125 126.85 ± 1.00 101.48

Table 15: Accuracy data of DAPA and METO.

LOD and LOQ

The LOD and LOQ were found for Dapagliflozin (DAPA) and Metoprolol (METO), shown in table respectively indicating high sensitivity of the method [16-19] (Table 16).

  Particulars At 236.00 nm At 223.80 nm
Dapagliflozin (DAPA)
Std. Dev. Of
Intercept
0.0014 0.0012
  LOD 0.4125 µg/ml 0.125 µg/ml
  LOQ 1.25 µg/ml 0.377 µg/ml
  Metoprolol  (METO)
  Std. Dev. Of Intercept 0.0024 0.0191
  Average of Slope 0.0127 0.1597
  LOD 0.623 µg/ml 0.39 µg/ml
  LOQ 1.88 µg/ml 1.19 µg/ml

Table 16: Calibration data of DAPA and METO.

Analysis of Synthetic Mixture

The developed and validated Q-Absorbance Ratio Spectrophotometric Method was applied for determination of Dapagliflozin (DAPA) and Metoprolol (METO) in synthetic mixture. The sample was analysed three times. The % assay was found to be 102.80 % and 100.67 % for Dapagliflozin (DAPA) and Metoprolol (METO), respectively [20] (Table 17).

Drug Conc.
(μg/ml)
Amount found
(μg/ml)
% Assay
Mean ± SD (n=3)
% RSD
Dapagliflozin (DAPA) 10 9.77 98.23 ± 1.81 1.84
10.02
9.67
Metoprolol (METO) 50 48.92 97.61 ± 0.96 0.98
48.28
49.23

Table 17: Data of determination of Dapagliflozin (DAPA) and Metoprolol (METO) in synthetic mixture.

HPTLC

List of Instrument and Apparatus

(Table 18)

Sr. No. Instrument Model No
1 High Performance Thin Layer Chromatography (HPTLC) Make: Camag Linomate 5 (Semiautomatic Sampler applicator) Software: WinCATS 1.3.4 Mobile Phase Chamber: Camag Twin through glass chamber (10x10 & 20x10 cm) Syringe: Hamiltron Syringe (100 Micro liter) UV Cabinet: UV cabinet with dual Wavelength UV lamp (254 & 366 nm) Scanner: Camag TLC scanner 3
2 UV-Visible Spectrophotometer Make: Shimadzu Corporation, Japan Model: UV 1700-Pharmaspec Measurement Mode: ABS & % T (Transmittance)
3 pH meter MAC/SR No. 1706
4 Analytical Weighing Balance AUW 220D Shimadzu
5 Ultra Sonicator -

Table 18: List of instruments and apparatus.

HPTLC Method Ddevelopment and Validation Instruments

The HPTLC instrument consisted of a CAMAG (Muttenz, Switzerland) Linomat V sample applicator with a 100-μL applicator syringe (Hamilton, Bonadauz, Switzerland). Chromatography was performed on 10 cm × 10 cm aluminium TLC plates precoated with silica gel 60-F254 (E. Merck, Darmstadt, Germany; supplied by Anchrom Technologists, Mumbai, India).

A CAMAG TLC scanner 4 was used for densitometric scanning of the chromatogram. All drugs and chemicals were weighed on a Shimadzu electronic balance (AX 200, Shimadzu Corp., Japan).

Sample Application

Standards and synthetic mixture samples of DAPAGLIFLOZIN (DAPA) and Metoprolol (METO) were applied to the HPTLC plates in the form of narrow bands 6 mm in length applied 10 mm from the bottom and 15 mm from the left edge of the plate. Samples were applied under a continuous drying stream of nitrogen gas [21].

Mobile Phase and Development

Plates were developed in a mobile phase consisting of toluene/ chloroform/ methanol/ glacial acetic acid (4.5/2/3/0.5, v/v/v/v). Linear ascending development was carried out in a twin-trough glass chamber equilibrated with the mobile phase vapours for 15 min. Ten millilitres of the mobile phase (5 mL in the trough containing the plate and 5 mL in the other trough) were used for each development and were allowed to migrate a distance of 80 mm. After development, the HPTLC plates were dried completely [22].

Densitometric Analysis

Densitometric scanning was performed in the absorbance mode under control with CATS planar chromatography software (CAMAG, Muttenz, Switzerland). The source of radiation was a deuterium lamp, and bands were scanned at 235 nm. The slit dimensions were 5 mm in length and 0.45 mm in width, with a scanning rate of 20 mm/s. Concentrations of the compound were determined from the intensity of diffusely reflected light and evaluated as peak areas against concentrations from a linear regression equation [23].

Selection of Diluent

Based on solubility, DAPAGLIFLOZIN (DAPA) and Metoprolol (METO) was soluble in methanol. Hence, methanol was selected as diluent [24].

Validation     Linearity

To obtain calibration curve, aliquots of working standard solution of DAPAGLIFLOZIN (DAPA) (100µg/ml) and METOPROLOL (METO) 500 μg/ml ranging from 2, 4, 6, 8, and 10 µl were applied by Hamilton micro syringe with the help of Linomat V applicator on Aluminium plate pre-coated with silica gel G 60 F254 gave concentration of 400-1200 ng/band for DAPAGLIFLOZIN (DAPA) and 1000 – 6000 ng/band for METOPROLOL (METO) [25].

Plate was developed in previously saturated chamber (30 minutes) with mobile phase containing toluene: chloroform: methanol: glacial acetic acid (4.5/2/3/0.5, v/v/v/v) and dried in air. Developed plate subjected to densitometric measurement in absorbance mode at wavelength 235 nm using Camag TLC scanner. Sample solution chromatographed six times and the mean peak area of DAPAGLIFLOZIN (DAPA) and METOPROLOL (METO) was calculated [26].

Accuracy

To ensure the reliability of the above method recovery studies were carried out by mixing standard quantity of standard drug with the pre-analyzed sample synthetic mixture and the contents were re-analyzed by the proposed method. Recovery studies were carried out at 50,100 and 150 % level [27].

The recovery study was performed three times at each level. Known amounts of DAPAGLIFLOZIN (DAPA) (0, 200, 400 and 600 ng per band) and METOPROLOL (METO) (0, 1000, 2000 and 3000 ng per band) were taken from the working standard solutions and were added to pre-quantified samples. The amounts of drug were estimated by measuring the areas and by fitting these values to the straight-line equations of the calibration curves [28].

Precision

The repeatability of measures of the peak area was determined by analysing DAPAGLIFLOZIN (DAPA) (600 ng per band) and METOPROLOL (METO) (3000 ng per band) seven times without changing the position of the plate. The repeatability of injection was checked by applying seven tracks of DAPAGLIFLOZIN (DAPA) and METOPROLOL (METO) on the same plate. Peak area of same concentration was measured six times and % RSD was calculated [29].

Intra-day precision was determined by analysing sample solutions of DAPAGLIFLOZIN (DAPA) (200, 600 and 1200 ng per band) and METOPROLOL (METO) (1000, 3000 and 5000 ng per band) three times on the same day. Inter-day precision was determined by analysing sample solutions of DAPAGLIFLOZIN (DAPA) (200, 600 and 1000 ng per band) and METOPROLOL (METO) (1000, 3000 and 6000 ng per band) over 3 days. The peak areas obtained were used to calculate mean and relative standard deviation (% RSD) [30].

Sensitivity

The limit of detection (LOD) is the lowest concentration of an analyte that can reliably be differentiated from background levels. The limit of quantification (LOQ) of an individual analytical procedure is the lowest amount of analyte that can be quantitatively determined with suitable precision and accuracy [31].

The LOD and LOQ were calculated from the following equations as per the ICH guidelines:

LOD=3.3×σ/S

LOQ=10×σ/S

where σ is the standard deviation of y intercepts of regression lines, and S is the slope of the calibration curve.

Specificity

The specificity was estimated by comparing synthetic mixture to pure API. The chromatogram was taken for DAPAGLIFLOZIN (DAPA) (600 ng per spot) and METOPROLOL (METO) (3000 ng per spot). Developed spot area and Rf value of DAPAGLIFLOZIN (DAPA) and METOPROLOL (METO) was determined [32].

Robustness

The effects of small changes in the chamber saturation time and solvent migration distance were examined. The robustness of the method was determined in triplicate at concentrations of DAPAGLIFLOZIN (DAPA) (600 ng per spot) and METOPROLOL (METO) (3000 ng per spot) [33].

Assay of Synthetic Mixture Synthetic

Mixture Preparation

Synthetic mixture was prepared by mixing Dapagliflozin (DAPA) (10.0 mg), METOPROLOL (METO) (50 mg) with starch (140.0 mg), Hydroxy propyle methayl cellulose E5 (30.0 mg), Polly vinayl pyrrolidone (20.0mg) magnesium stearate (2.5 mg) and talc (1.0mg), dissolved in 50.0 ml of distilled water and then diluted to the mark in a 100.0ml standard flask and sonicated for 5 min filtered and filtrate was used for validating the above-mentioned methods. Further diluted 1 ml of above solution to 10 ml volumetric flask and volume was make up to the mark with diluent. Further diluted 1 ml of above solution to 10 ml volumetric flask and volume was make up to the mark with diluent [34].

Two microliters of these solutions were applied to HPTLC plates and analyzed for DAPA and METO content using the proposed method as described earlier. The possibility of interference from other components of the tablet formulation in the analysis was studied. Concentration of DAPAGLIFLOZIN (DAPA) (600 ng per spot) and METOPROLOL (METO) (3000 ng per spot). Peak area of above solution was measure using developed method [35].

Optimization of the Mobile Phase

To make the HPTLC method suitable for estimating Dapagliflozin (DAPA) and

Metoprolol (METO) in combined dosage form, the mobile phase was selected on the basis of polarity to give a dense, compact band with an appropriate Rf value for the two drugs. Satisfactory resolution of the drugs was not achieved with mixtures of Ethyl Acetate: Chloroform (7:3), toluene/ acetonitrile (7/3, v/v), chloroform/ acetonitrile (6/4, v/v), chloroform/toluene/ acetonitrile (8/2, v/v), chloroform/ acetonitrile/ methanol (8/2,v/v), acetonitrile/ethyl acetate (8/2, v/v) and chloroform/methanol/toluene (6/3/1, v/v). Toluene: chloroform: methanol: glacial acetic acid (4.5/2/3/0.5, v/v/v/v) was found to be a satisfactory mobile phase, giving good separation of Dapagliflozin (DAPA) and Metoprolol (METO) [36].

Chamber saturation time and solvent migration distance were crucial to chromatographic separation. A chamber saturation time of less than 15 min and solvent migration distances greater than 80 mm resulted in diffusion of the analyte band. Therefore, Toluene: chloroform: methanol: glacial acetic acid (4.5/2/3/0.5, v/v/v/v) as the mobile phase, a chamber saturation time of 15 min under ambient conditions and a solvent migration distance of 80 mm were selected as the optimum conditions. These chromatographic conditions produced well-defined, compact bands of Dapagliflozin (DAPA) and Metoprolol (METO) with Rf 0.26 ± 0.02 and 0.74 ± 0.02, respectively [37].

(Table 19, Figure 11, Figure 12, Figure 13, Figure 14, Figure 15 and Figure 16

research-development-pharmacy-developed

Figure 11: Photograph of developed HPTLC plate of Dapagliflozin (DAPA) and Metoprolol (METO) ,First DAPA and second line METO.

research-development-pharmacy-Densitograms

Figure 12: Densitograms of Dapagliflozin (DAPA) and Metoprolol (METO).

research-development-pharmacy-Dapagliflozin

Figure 13: Densitograms of Dapagliflozin (DAPA) and Metoprolol (METO).

research-development-pharmacy-DAPA

Figure 14: Densitogram of Dapagliflozin (DAPA).

research-development-pharmacy-METO

Figure 15: Densitogram of Metoprolol (METO).

research-development-pharmacy-of

Figure 16: Densitograms of blank.

Sr.
No.
Mobile Phase Observation
1 Ethyl Acetate: Chloroform (7:3) Both drug travel with solvent
2 toluene/ acetonitrile (7/3, v/v) Both drug travel with solvent
3 Methanol: Chloroform (7:3) Only one drug run, another drug spot not found
4 Methanol: Dichloromethane (6:4) Both drugs not run on plate
5 Ethyl Acetate: Acetone: Methanol
(8:1.6:0.4)
Both drugs travel very less
6 Chloroform/methanol/toluene (6/3/1, v/v). Both drugs not run on plate
7 Toluene: chloroform: methanol: glacial acetic acid (4.5/2/3/0.5, v/v/v/v) Both drugs separated well with good resolution and sharp peak

Table 19: Trials for optimization of mobile phase.

Validation Parameters

Linearity and Range

The linearity of an analytical method is its ability, within a given range, to provide results that are directly, or through a mathematical transformation, proportional to the concentration of the analyte. Representative calibration curve of Dapagliflozin (DAPA) and Metoprolol (METO) was obtained by plotting the mean peak area of Dapagliflozin (DAPA) and Metoprolol (METO) against concentration over the range of concentration of 400-1200 ng/band for Dapagliflozin (DAPA) and 1000 – 6000 ng/band for Metoprolol (METO), respectively [38].

Responses were found to be linear in the above conc. range with correlation coefficients more than of 0.99 for both drugs [39].

Regression data showed a good linear relationship over the concentration range, demonstrating the suitability of the method for analysis Table 20. Fig. 19 shows a three-dimensional overlay of the HPTLC densitograms for Dapagliflozin (DAPA) and Metoprolol (METO), with calibration bands at 235 nm (Figure 17, Figure 18, Table 20 and Figure 19) [40].

research-development-pharmacy-band

Figure 17: Calibration curve for 400-1200 ng/band for Dapagliflozin (DAPA).

research-development-pharmacy-for

Figure 18: Calibration curve for 1000 – 6000 ng/band for Metoprolol (METO).

research-development-pharmacy-Shows

Figure 19: Shows a three-dimensional overlay of the HPTLC densitograms for Dapagliflozin (DAPA)and Metoprolol (METO), with calibration bands at 235 nm.

  Concentratio n
(ng/band)
Dapagliflozin (DAPA) Metoprolol (METO)
Peak Area Mean ± SD (n=6)   % RSD Concentratio n
(ng/band)
Peak Area Mean ± SD (n=6)   % RSD
200 5310 ± 73.19 1.38 1000 836 ± 16.23 1.94
400 8746 ± 169.75 1.94 2000 1649 ± 23.32 1.41
600 11799 ± 231.26 1.96 3000 2375 ± 42.48 1.79
800 14499 ± 242.90 1.67 4000 3101 ± 28.45 0.92
1000 17647 ± 314.69 1.78 5000 3897 ± 67.97 1.74
  1200 21562.2 ±
261.13
1.21   6000   4925 ± 85.89 1.74
Regression Equation y = 15.809x + 2194.1   y = 0.7976x + 5.7
LOD 26.58 ng/band   51.81 ng/band
LOQ 80.57 ng/band   157.00 ng/band

Table 20: Calibration data of Dapagliflozin (DAPA) and Metoprolol (METO).

Repeatability

Repeatability of the scanning device and injection was studied by applying and analysing Dapagliflozin (DAPA) (600 ng per band) and Metoprolol (METO) (3000 ng per band) six times (Table 21) [41].

Sr. No. Dapagliflozin (DAPA) Metoprolol (METO)
1 11692.49 2399
2 11798.80 2374.90
3 11794.08 2398.17
4 11909.71 2372.76
5 11916.79 2351.15
6 11972.83 2398.65
Mean 11847 2382
SD 78.76 19.90
% RSD 0.66 0.83

Table 21: Repeatability data of Dapagliflozin (DAPA) and Metoprolol (METO).

Intraday and Interday Precision

Intra-day precision is measured for an analytical procedure used within a laboratory over a short time by the same operator with the same equipment, whereas inter-day precision involves estimation of variations in analysis when the method is used on different days. The RSD values of the response were less than 2% and 3% for intra-day and inter-day precision, respectively. The % RSD was found to be less than 2 % which indicate method is precise (Table 22) [42].

  Drug   Conc. (ng/band) Intraday Precision Interday Precision
Peak Area (Mean ± SD) (n=3) % RSD Peak Area (Mean ± SD) (n=3) % RSD
  DAPA 200 5256.80 ± 53.10 1.01 5274.50 ± 81.11 1.54
600 11794.87 ± 114.45 0.97 11936.85 ± 223.61 1.87
1200 21346.58 ± 215.62 1.01 21275.42 ± 248.36 1.17
  METO 1000 830.53 ± 4.83 0.58 847.94 ± 16.25 1.92
3000 2378.30 ± 30.42 1.28 2382.82 ± 27.42 1.15
6000 4883.76 ± 51.26 1.05 4851.09 ± 64.96 1.34

Table 22: Precision data Dapagliflozin (DAPA) and Metoprolol (METO.

Accuracy

(Table 23)

    Drug   % Level of spike Amount of drug in sample
(μg/ml)
Amount of  std. added
(μg/ml)
Total amount of drug
(μg/ml)
  Total amount of std. found (μg) Mean ± SD (n=3)   % Recovery
      DAPA 0 400 0 400 406.22 ± 0.64 101.55
50 400 200 600 594.89 ± 22.03 99.15
100 400 400 800 809.86 ± 17.55 101.23
150 400 600 1000 994.30 ± 18.74 99.43
    METO 0 2000 0 2000 2022.21 ± 25.86 101.11
50 2000 1000 3000 2989.67 ± 46.46 99.66
100 2000 2000 4000 3931.95 ± 45.46 98.30
150 2000 3000 5000 4911.22 ± 57.28 98.22

Table 23: Accuracy data of DAPA and METO.

Accuracy of the method was confirmed by recovery study from synthetic mixture at three levels 50%, 100% and 150% of standard addition [43]. The accuracy of an analytical method is the closeness of the results to the true value (100%). In recovery studies in which a known amount of standard was spiked into pre- analysed sample solutions the recovery was 99.15–101.55% for Dapagliflozin (DAPA) and 98.22–101.11% for Metoprolol (METO) (Table 23).

The values demonstrate that the method is accurate. The data shown in Table 23 indicate that the developed method is accurate [44-48]. The % recovery of DAPA and METO was found to be in range of 98.00 – 102 %.

LOD and LOQ

The LOD and LOQ were found for Dapagliflozin (DAPA) and Metoprolol (METO), shown in table respectively indicating high sensitivity of the method (Table 24) [49-51].

Sr. No. Dapagliflozin (DAPA) Metoprolol (METO)
Std. Dev. Of Intercept 128.91 62.80
Average of Slope 16 4
LOD 26.58 ng/band 51.81 ng/band
LOQ 80.57 ng/band 157.00 ng/band

Table 24: LOD and LOQ of DAPA and METO.

Parameters Change in condition DAPA METO
Peak Area %RSD Peak Area %RSD
Migration distance 75 mm 11765.89 ±
178.56
1.52 2480.48 ±
13.08
0.53
(80mm) 85 mm 11860.35 ±
161.34
1.36 2398.05 ±
31.16
1.30
Chamber Saturation time   13 min 11908.84 ±
171.63
  1.44 2445.42 ±
41.26
  1.69
(15 min) 17 min 11770.35 ±
218.93
1.86 2416.08 ±
43.44
1.80
Mobile Phase   11943.53 ± 1.34 2452.47 ± 1.34
Toluene: chloroform:
methanol:
(4.0/2.5/3/0.5,
v/v/v/v)
160.96   33.00  
glacial acetic          
acid (4.5/2/3/0.5,
v/v/v/v)
         
  (4.0/2/3.5/0.5,
v/v/v/v)
11911.13 ±
162.16
1.36 2450.26 ±
18.89
0.77

Table 25: Robustness.

Specificity

The specificity was estimated by comparing marketed formulation to pure API. The chromatogram was taken for Dapagliflozin (DAPA) (600 ng per spot) and Metoprolol (METO) (3000 ng per spot). Developed spot area and Rf value of Dapagliflozin (DAPA) and Metoprolol (METO) was determined and also shown peak purity data of both drug in Figure 20.

research-development-pharmacy-Purity

Figure 20: Purity spectra of both Dapagliflozin (DAPA) and Metoprolol (METO) Robustness.

The low values of RSD (Table 7.7) obtained after introducing small, deliberate changes in the parameters of the developed HPTLC method confirmed its robustness (Table 25) [52-54].

  Drug Conc. (ng/band) Amount found (μg/ml) % Assay Mean ± SD (n=3)
  Dapagliflozin (DAPA)   400 406.52   102.11 ± 0.79
406.64
412.15
  Metoprolol (METO)   2000 2039.09   102.62 ± 0.58
2059.97
2058.31

Table 26: Data of determination of Dapagliflozin (DAPA) and Metoprolol (METO) in synthetic mixture.

Analysis of Synthetic Mixture

The synthetic mixture was prepared from Dapagliflozin (DAPA) and Metoprolol (METO) and the excipients starch (140.0 mg), Hydroxy propyle methayl cellulose E5 (30.0 mg), Polly vinayl pyrrolidone (20.0mg) magnesium stearate (2.5 mg) and talc (1.0mg). Analysis of the synthetic mixture by the proposed method gave a recovery of 102.11% (±0.79%) for Dapagliflozin (DAPA) and 102.62% (±0.58%) for Metoprolol (METO). Single bands at Rf 0.26 ± 0.02 and 0.63 ± 0.02 were observed in the chromatograms for Dapagliflozin (DAPA) and Metoprolol (METO), and no interference from the excipients was observed. As the method can be successfully applied for analysis of the synthetic mixture, it could be used to analyse the pharmaceutical formulation (Table 26 and Figure 21) [55-59].

research-development-pharmacy-standard

Figure 21: Densitogram of standard Dapagliflozin (DAPA) (400 ng per band) and Metoprolol (METO) (2000 ng per band) using optimized mobile phase.

Summary of Validation Parameters

The validation of the developed HPTLC method for determination of Dapagliflozin (DAPA) and Metoprolol (METO), indicates that the method is specific, linear, precise, and accurate. The summary of different validation parameters is shown in Table 27 and Table 28.

Sr.
No.
Parameters Dapagliflozin (DAPA) Metoprolol (METO)
1. Concentration range (ng/band) 200-1200 1000-6000
2. Regression Equation y = 15.809x + 2194.1 y = 0.7976x + 5.7
3. LOD 26.58 ng/band 51.81 ng/band
4. LOQ 80.57 ng/band 157.00 ng/band
5. Accuracy (% Recovery) (n=3) 99.15 – 101.55 % 98.22 – 101.11 %
6 Precision
Repeatability (n=6) 0.66 0.83
Intraday Precision (n=3) 0.97 – 1.01 0.58 – 1.28
Interday Precision (n=3) 1.17 – 1.87 1.15 – 1.92
7. Assay 102.11 ± 0.79 102.62 ± 0.58
8 Robustness Robust
9 Specificity Specific

Table 27: Summary of validation parameter for of Dapagliflozin (DAPA) and Metoprolol (METO).

Variable 1             DAPA     Variable 2
F 5.776666
P(F<=f) one-tail 0.0589
F Critical one-tail 6.388233
Variable 1             METO    Variable 2
F 1.842424
P(F<=f) one-tail 0.284227

Table 28: F Test Comparison of Hypothesis (Statistical method).

References

  1. Arati A, Ajinkya C (2016) “Heart Failure: Diagnosis, Management and Utilization.” Journal of Clinical Medicine 5: 1-28.
  2. Indexed at, Google Scholar, Crossref

  3. Douglas L (2021) “Mechanisms and Models in Heart Failure: A Translational Approach.” Circ Res 128: 1435-1450.
  4. Google Scholar

  5. Sapna F (2023) “Advancements in Heart Failure Management: A Comprehensive Narrative Review of Emerging Therapies.” Cureus 15: 1-13.
  6. Indexed at, Google Scholar, Crossref

  7. Paul MH, Andrew SF (2022) “Management of heart failure with reduced ejection fraction.” Heart 108: 1571-1579.
  8. Google Scholar

  9. Bhaumik M (2023) “Analysis of Different Brands of Dapagliflozin (10mg) Tablets Usinghigh Performance Liquid Chromatographic (HPLC) Method.” Ijpra 8: 969-972.
  10. Google Scholar

  11. Paul (1986) “An Updated Review of its Pharmacodynamic and Pharmacokinetic Properties, and Therapeutic Efficacy, in Hypertension, Ischaemic Heart Disease and Related Cardiovascular Disorders.” Drugs 31: 376-429.
  12. Google Scholar

  13. Ganesh S (2020) “A Review on Advances in UV Spectroscopy.” Research J Science and Tech 12: 47-51.
  14. Google Scholar

  15. Attimared M (2011) “High-performance thin layer chromatography: A powerful analytical technique in pharmaceutical drug discovery.” Pharmaceutical Method 2: 71-75.
  16. Indexed at, Google Scholar, Crossref

  17. Stanislava I (2022) “High-Performance Thin-Layer Chromatography (HPTLC) Method for Identification of Meloxicam and Piroxicam.” Processes 10: 1-9.
  18. Indexed at, Google Scholar, Crossref

  19. Rashmi P (2012) “HPTLC Method Development and Validation: Strategy to Minimize Methodological Failures.” Journal of Food and Drug Analysis 20: 794-804.
  20. Indexed at, Google Scholar, Crossref

  21. Drug bank DB06292 Dapagliflozin https://go.drugbank.com/drugs/DB06292
  22. Drug bank DB00264 Metoprolol https://go.drugbank.com/drugs/DB00264
  23. Gajanan VM, Krishna Radheshyam G (2017) “Estimation of Dapagliflozin from its Tablet Formulation by UV-Spectrophotometry.”Pharm Methods 8: 102-107.
  24. Google Scholar, Crossref

  25. Vidhi SD, Dr. Paresh U (2020) “Development and validation of UV Spectroscopic method for Dapagliflozin in its API and its Tablet Formulation.” aegaeum journal 8: 840-846.
  26. Indexed at

  27. Priya K, Maram (2015) “Unique UV spectrophotometric method for reckoning of dapagliflozin in bulk and pharmaceutical dosage forms.” Journal of Chemical and Pharmaceutical Research 7: 45-49.
  28. Indexed at

  29. Bhagwat JB (2010) “Quantitative Estimation of Dapagliflozin in Blood Plasma by Using UV Spectroscopy.” Pharmaceutica Analytica Acta 2: 1-3.
  30. Indexed at

  31. Bhavyasri K (2019) “Method Development and Validation For The Estimation Of Dapagliflozin In Bulk And Tablet Dosage Formby UV Visible Spectroscopy.” International Journal of Recent Scientific Research 1: 34419-34422.
  32. Indexed at

  33. Jani BR, Shah K (2015) “Development and Validation of UV Spectroscopic First Derivative Method for Simultaneous Estimation of Dapagliflozin and Metformin Hydrochloride in Synthetic Mixture.” Journal of Bioequivalence Studies 1: 1-8.
  34. Indexed at, Google Scholar

  35. Sufiyan A, Rageeb MD (2021) “Development and Validation Of UV Spectrophotometric Method For Estimation Of Saxagliptin And Dapagliflozin In Bulk And Dosage Form.” International Journal of Pharmaceutical Sciences and Research 12: 2185-2192.
  36. Indexed at

  37. Bhavya S, Surekha T (2020) “A Novel Method Development and Validation of Dapagliflozin and Metormin Hydrochloride using Simultaneous Equation Method by UV– Visible Spectroscopy in Bulk and Combined Pharmaceutical Formulation including Forced Degradation Studies.” Journal of pharmaceutical science and research 12: 1100-1105.
  38. Indexed at, Google Scholar

  39. Jani BR, Shah K, Kapupara PP (2015) “Development And Validation Of Uv Spectroscopic Method For Simultaneous Estimation Of Dapagliflozin And Metformin Hydrochloride In Synthetic Mixture.” International Journal of Research and Development in Pharmacy and Life Sciences 4: 1569-1576.
  40. Indexed at, Google Scholar

  41. Minal H (2019) “Ultraviolet-Spectrophotometric Method for Simultaneous Estimation of Dapagliflozin Propanediol and Metformin Hydrochloride.” International Research Journal Of Pharmacy 10: 90-94.
  42. Indexed at

  43. Anokhi P (2022) “Analytical Method Development And Validation For Simultaneous Estimation Of Dapagliflozin And Teneligliptin Hydrobromide Hydrate From Synthetic Mixture By Three Different Uv Spectrophotometric Methods.” World Journal of Pharmaceutical Research 11: 770-783.
  44. Indexed at, Google Scholar

  45. Mante GV (2018) “RP-HPLC Method for Estimation of Dapagliflozin from its Tablet.” International Journal of ChemTech Research 11: 242-248.
  46. Indexed at, Google Scholar

  47. Shakir BS, Sravanthi P (2017) “Development and Validation of Dapagliflozin by Reversed-Phase High-Performance Liquid Chromatography Method and It’s Forced Degradation Studies.” Asian J Pharm Clin Res 10: 101-105.
  48. Indexed at, Google Scholar

  49. Mitali VV (2017) “Development and Stability Indicating Hplc Method for Dapagliflozin in Api And Pharmaceutical Dosage Form.” International Journal of Applied Pharmaceutics 9: 33-41.
  50. Indexed at, Google Scholar

  51. Manasa S (2014) “Development and Validation of stability-Indicating RP-HPLC method for determination of Dapagliflozin.” Journal of Advanced Pharmacy Education & Research 4: 350-353.
  52. Indexed at, Google Scholar

  53. Vankalapati (2022) “Stability-indicating HPLC method development and validation for simultaneous estimation of metformin, dapagliflozin, and saxagliptin in bulk drug and pharmaceutical dosage form.” Biomedical chromatography 36: 7.
  54. Google Scholar, Crossref

  55. Suma BV, Deveswaran R (2019) “A New high-performance thin layer chromatographic method development and validation of dapagliflozin in bulk and tablet dosage form.” Int J Pharm Pharm Sci 11: 58-63.
  56. Google Scholar

  57. Abdelrahman (2020) “HPTLC Method for the Determination of Metformin Hydrochloride, Saxagliptin Hydrochloride, and Dapagliflozin in Pharmaceuticals.” Current Analytical Chemistry 16: 609-619.
  58. Google Scholar

  59. Saloni A (2022) “Development and validation of stability-indicating HPTLC method for simultaneous estimation of Metformin, Saxagliptin, and Dapagliflozin in their combined matrix using AQbD.” Bepls 12: 32-42.
  60. Indexed at, Google Scholar, Crossref

  61. Soudamini A (2023) “Development and validation of hptlc technique for assessment of dapagliflozin and metformin hcl.” Eur Chem Bull 12: 7676-7692.
  62. Indexed at

  63. Parixit P (2023) “Development and Validation of HPTLC Method for Simultaneous “Quantification of Dapagliflozin and Vildagliptin in Tablet Dosage Form.” Jchr 13: 3643-3649
  64. Indexed at

  65. Goday, Swapna (2018) “Development and Validation of a LC-ESI-MS/MS Based Bioanalytical Method for Dapagliflozin and Saxagliptin in Human Plasma.” Indian Journal of Pharmaceutical Education and Research 52: S277-S286.
  66. Indexed at, Google Scholar

  67. Navneet V (2011) “UV- Spectrophotometric Determination of Metoprolol Succinate.” Research J Pharm and Tech 4: 271-272.
  68. Indexed at, Google Scholar

  69. Abhinaya K (2023) UV spectrophotometric method development and validation for the determination of metoprolol succinate in bulk and its pharmaceutical dosage form.” Annals of Phytomedicine 12: 628-631
  70. Indexed at

  71. Mustafa C (2011) “Spectrophotometric Determination of Metoprolol Tartrate in Pharmaceutical Dosage Forms on Complex Formation with Cu (II).” Pharmaceuticals 4: 964-975
  72. Indexed at, Google Scholar

  73. Pagar SA (2013) “Development and validation of spectrophotometric method for determination of metoprolol succinate.” IJPBS 3: 224-228.
  74. Indexed at, Google Scholar

  75. Madhuri A (2015) “Development and validation of UV spectrophotometric method for simultaneous estimation of cilnidipine and metoprolol succinate in bulk drugs and combined dosage form.” Der Pharmacia Lettre 7: 299-306
  76. Indexed at, Google Scholar

  77. Bindi N (2012) “Development and validation of the simultaneous UV spectrophotometric method for estimation of metoprolol succinate and olmesartan medoxomil in the tablet dosage form.” Pharmaceutical Methods 31: 44-47.
  78. Indexed at, Google Scholar, Crossref

  79. Lakavath S (2022) “Sensitive and Reproducible Study for UV- Spectrophotometric Method for Analysis of Clopidogrel and Metoprolol in a Combined Tablet Dosage Form.” International Journal of Pharmaceutical Science Invention 11: 1-5.
  80. Indexed at, Google Scholar, Crossref

  81. Iram M, Rani S (2015) “Estimation of Metoprolol In Human Plasma By Hplc Method.” Ijpps 7: 443-446.
  82. Google Scholar

  83. Avjit C (2012) “Rp-Hplc method for the estimation of metoprolol succinate in bulk and in dosage forms.” Int J Adv Pharm Biol Sci 2: 116-123.
  84. Indexed at

  85. Nirma M (2012) “Development and validation of a stability indicating RP-HPLC method for simultaneous estimation of Olmesartan Medoxomil and Metoprolol Succinate in pharmaceutical dosage form.” Pharmaceutical Method 3: 84-89.
  86. Indexed at, Google Scholar, Crossref

  87. Rawool ND, Venkatchalam A (2011) “Analytical Method for the Simultaneous Estimation of Hydrochlorothiazide and Metoprolol Tartrate using RP HPLC.” Ijps 73: 219-223.
  88. Indexed at, Google Scholar, Crossref

  89. Brijesh S (2009) “Development of Reverse-Phase HPLC Method for Simultaneous Analysis of Metoprolol Succinate and Hydrochlorothiazide in a Tablet Formulation.” Trop J Pharm Res 8: 539-543.
  90. Indexed at, Google Scholar, Crossref

  91. Vaijanath G (2007) “Simultaneous determination of metoprolol succinate and amlodipine besylate in pharmaceutical dosage form by HPLC.” Jpba 46: 583-586.
  92. Indexed at, Google Scholar, Crossref

  93. Palani S, Kamarapu SK (2018) “Method Development And Validation For The Simultaneous Determination Of Metoprolol And Atorvastatin By Reversed-Phase High-Performance Liquid Chromatography In Its Bulk And Pharmaceutical Tablet Dosage Form Using Biorelevant Dissolution Media Fasted State Small Intestinal Fluid.” Asian J Pharm Clin Res 11: 1-8.
  94. Google Scholar

  95. Risk M (2023) “Comparative HPTLC study for simultaneous determination of ivabradine and metoprolol using UV and fluorescence detectors.” Bmc Chemistry 17: 1-13
  96. Indexed at, Google Scholar

  97. Pintu P (2021) “A robust high‑performance thin‑layer chromatography method for the simultaneous estimation of chlorthalidone and metoprolol succinate using quality risk assessment and design of experiments‑based enhanced analytical quality by design approach.” JPC 34: 229-242.
  98. Google Scholar

  99. Jain PS (2012) “Development and Validation of HPTLC Method for Simultaneous Determination of Amlodipine Besylate and Metoprolol Succinate in Bulk and Tablets.” Ijps 74: 152-156.
  100. Indexed at, Google Scholar, Crossref

  101. Rajendra K (2009) “High-Performance Thin-Layer Chromatographic Method for Simultaneous Analysis of Metoprolol Succinate and Amlodipine Besylate in Pharmaceutical Preparations.”JPC 22: 115-119.
  102. Indexed at, Google Scholar, Crossref

  103. Kamini S (2019) “Validated HPTLC method for simultaneous estimation of metoprolol succinate and ramipril in bulk drug and marketed formulation.” Clin Med Rep 2: 1-4.
  104. Indexed at, Google Scholar, Crossref

  105. Li S (2012) “Rapid and Sensitive LC-MS/MS Method for the Determination of Metoprolol in Beagle Dog Plasma with a Simple Protein Precipitation Treatment and Its Pharmacokinetic Applications.” Molecules 17: 2663-2674.
  106. Indexed at, Google Scholar

  107. Suresh B, Jayachandra, Devendra P (2016) Process for The Preparation of Dapagliflozin, USP US 2016/0214953 A1.
  108. Google Scholar

  109. Vasireddi UMR (2018) Novel processes for preparation of dapagliflozin or its solvates or co - crystals thereof, WO2018/029611A1.
  110. Google Scholar

  111. Janakraj KM, Jit C, Bimal K, Rajendra K, Prasant G (2005) Metoprolol manufacturing process, US 2005/0107635 A1.
  112. Google Scholar

  113. Carmen AA, Jordi B (2013) synthesis and preparations of metoprololand its salts, US 2009/0247642 A1.
  114. Indexed at

  115. Ali RI, Sanayi VAS (2013) Tablet formulation comprising dapagliflozin and extended-release metformin, WO2013/137839 A1.
  116. Indexed at

Citation: Nidhi T (2024) Development and Validation of UV Spectroscopic and HPTLC Methods for Simultaneous Estimation of Dapagliflozin and Metoprolol in Synthetic Mixture. Int J Res Dev Pharm L Sci, 10: 222.

Copyright: © 2024 Nidhi T. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Select your language of interest to view the total content in your interested language

Post Your Comment Citation
Share This Article
Article Usage
  • Total views: 1196
  • [From(publication date): 0-2024 - Jul 04, 2025]
  • Breakdown by view type
  • HTML page views: 912
  • PDF downloads: 284
Top