ANALYTICAL METHOD DEVELOPMENT AND VALIDATION OF THREE COMBINATION DRUGS REMOGLIFLOZIN ETABONATE, METFORMINE AND VILDAGLIPTIN BY RP-HPLC TECHNIQUE
HTML Full TextANALYTICAL METHOD DEVELOPMENT AND VALIDATION OF THREE COMBINATION DRUGS REMOGLIFLOZIN ETABONATE, METFORMINE AND VILDAGLIPTIN BY RP-HPLC TECHNIQUE
Tabassum Bano *, Madhuri Channawar and A. V. Chandewar
P. Wadhwani College of Pharmacy, Dhamangaon Road Yavatmal, Maharashtra, India.
ABSTRACT: Remogliflozin Etabonate, Metformin, Vildagliptin are anti-diabetic drugs. It inhibits the sodium-glucose transport proteins (SGLT), which are responsible - for glucose reabsorption in the kidney. Blocking this transporter causes blood glucose to be eliminated through the urine. Several attempts were made on simultaneous analysis of Metformin with either Vildagliptin or Remogliflozin but no work were carried out on simultaneous analysis of all three drugs combination. In the present work, efforts are made to develop a simple new accurate, precise and linear reverse phase high performance liquid Chromatographic (RP-HPLC) method for simultaneous estimation of Remogliflozin etabonate (RGE), Metformin (MET) and Vildagliptin (VGN) in bulk drug and marketed tablet formulation Different analytical performance parameters such as linearity, precision, accuracy, specificity, limit of detection (LOD) and limit of quantification (LOQ) were determined according to International Conference on Harmonization ICH Q2B guidelines. Chromatographic separation was achieved on Acclaimed Mix Mode HILIC-1 column (150 mm × 4.6 mm, 5µm) applying an isocratic elution based on 20 mM ammonium acetate: acetonitrile (75:25, v/v) as a mobile phase. The ultraviolet detector was operated at 230 and 254 nm. The retention time for RGE was 3.81+0.5min, VGN was 4.86+0.5min, MET was 5.81+0.5min. The standard curve was linear over the concentration range of 3.9-62.5µg/ml with r2 close to one (1 to 0.999). The proposed method was validated for system suitability, specificity, linearity, accuracy, precision, LOD, LOQ and robustness. All parameters were found to be within the acceptance limit.
Keywords: RP-HPLC, Metformin, Remogliflozin, Vildagliptin, Validation
INTRODUCTION: Remogliflozin Etabonate is an anti-diabetic drug, chemically known as 5-Methyl4 -[4-(1-methyl ethoxy) benzyl]-1-(1 methylethyl)- 1H-pyrazol – 3 – yl – 6 - O-(ethoxy carbonyl)-β-D glucopyranoside. It inhibits the sodium-glucose transport proteins (SGLT), which are responsible - for glucose reabsorption in the kidney. Blocking this transporter causes blood glucose to be eliminated through the urine 1-2.
In the present work, efforts are made to develop a simple, accurate and precise RP-HPLC and solution stability method for Remogliflozin Etabonate in bulk and pharmaceutical dosage form and to validate it in accordance with ICH guidelines 4-17.
The treatment of diabetes are complicated and tedious method; hence, a multiple intervention approach such as the practice of healthy diets, physical activity, and various therapeutic strategies may help to minimize the complications of diabetes. Dipeptide peptidase-4 (DPP-4) and sodium-glucose transporter-2 (SGLT-2) inhibitors showed an enhanced HbA1c control when compared with conventional sulfonylureas and thia-zolidinediones 3.
The Food and Drug Administration (FDA) has approved a fixed-dose Remogliflozin and Vildagliptin tablet for T2DM. Remogliflozin etabonate (RGE) is an oral hypoglycemic drug 4, which acts by inhibiting the SGLT-2 enzyme and thereby decreasing the reabsorption of glucose from the glomerular filtrate back to the blood.
SGLT-2 inhibitors reduce cardiovascular events, body weight and also show a defensive effect on the renal system. These functional properties of SGLT-2 inhibitors considerably reduce the hospitalization of T2DM patients exclusively due to heart failure 5-6. Vildagliptin (VGN), a DPP-4 inhibitor, decreases the blood sugar level by protecting the incretins from degradation, which helps in the production of insulin after food and reduces glucagon formation in the liver. The protection of incretins also helps in reducing body weight by decreasing the appetite and prolonging the slow digestion of food 7, 8.
Few quantitative analytical procedures are illustrated in the literature for the analysis of RGE and VGN alone and with metformin from medicines and biological fluids. A quantitative determination of lone was explained using UV-Vis spectrophotometry 9-10, HPLC 11-12, and LCMS 13. Derivative UV spectrophotometry, RP-HPLC, and UPLC procedures were stated for the concurrent estimation of RGE with metformin 14–16.
Different analytical methods have been reported in the literature for the quantification of VGN from formulations and biological samples. VGN alone was determined using UV-Vis spectrophotometry 17–19, HPTLC 20 and UPLCMS 21. Several spectrophotometric 22–24 and HPLC methods were reported for the determination of VGN long with other drugs 24–27. The determination of VGN and RGE alone and with other active ingredients. However, no quantitative analytical method has been described for the concurrent estimation of VGN and RGE from a formulation. Derivative UV spectrophotometric techniques are simple, accurate, fast, and may possibly be utilized for the quantification of multicomponent formulations showing overlapping spectra 28–32. Hence, in the current work, three spectrophotometric methods were validated and applied to a concurrent determination of VGN and RGE from laboratory mixed solutions and formulations. Water was used as a dilution solvent for the samples, making the developed spectrophotometric methods ecofriendly 27-29.
Instrumentation: The high performance liquid chromatography (HPLC) of Shimadzu SCL-10AVP inbuilt with binary pump (LC-10ATVP), UV detector (SPD-10AVP), Rheodyne 20µl loop capacity manual injector (P/N 77251) was used throughout the analysis. The LC-Solution software was used to interpret the HPLC reports. Acclaimed Mix-Mode HILIC-1 (5µm; 150 x 4.6 mm ID.) was used throughout the analysis.
EXPERIMENTAL WORK: Several attempts were made on simultaneous analysis of Metformin with either Vildagliptin or Remogliflozin but no work were carried out on simultaneous analysis of all three drugs combination. Importantly, all separation was performed using reverse phase chromatography, specifically by conventional C18 column with improved adsorbent properties. Nevertheless, there are certain drawbacks of this technique, such as first; as highly polar nature of Metformin, it elute with dead volume in RP-HPLC. Second, the Remogliflozin is moderately non-polar in nature so it retain strongly in C18 phase.
Third, the Vildagliptin has very low UV sensitivity and hence it gets detected at low UV wavelength which again causes unstable base line. In addition, while considering RP-HPLC for simultaneous estimation of Metformin with Vildagliptin and Remogliflozin, the results achieved with elongated run time and resolution, and most importantly, Metformin does not retain in ODS phase.
Alternative to this the HILIC technique was first time utilize for this simultaneous estimation of all three selected drugs. As resulted Fig. 4, Metformin eluted quite late and it is reverse to that of RP-HPLC whereas Remogliflozin eluted earlier with retention factor was ≤ 0.5. The total run time was shortened to 6 minutes which in results increase its separation efficiency. Prior to the HPLC analysis, the UV spectra of all selected drugs were performed at the wavelength ranging from 350 – 200 nm. In results, both Remogliflozin and Metformin shows significant maximum absorbance at 230 nm wavelength.
In contrast, the Vildagliptin has very low UV sensitivity which has optimum UV absorbance limit is 203-205 nm. However, the aqueous mobile phase with Ammonium acetate has the UV absorbance strength more than 210 nm. Beside these, the real Isobastic point for all drugs were lying between something around 250-260 nm wavelength.
Therefore, two wavelengths; 230 and 254 were selected for HILIC chromatography Fig. 4.
Reagents and Reference Samples: The reference standards; Metformin, Remogliflozin and Vildagliptin were obtained as a gift samples from Yarrow Pharma Chem Ltd.
Ammonium acetate from Merck Ltd. (Mumbai-India) HPLC grade acetonitrile and deionised water from Merck (Mumbai, India). 0.20µ and 0.45µ nylon membrane filters were used from UltraChrom Innovatives Pvt. Ltd. (India). All other chemicals and reagents were used of HPLC grade.
Standard Stock Solutions: Standard stock solutions of 1 mg/mL of standards, Metformin, Remogliflozin and Vildagliptin were prepared separately by dissolving 10 mg of the drug in 10 ml of Acetonitrile: Methanol: Water (3:4:3 v/v) in a 20 mL volumetric flask.
Furthermore, freshly prepared standards were mixed together to get the concentration 100 ppm each for performing validation studies like repeatability, precision and robustness studies. Standard stock solution was then ultrasonicated for 10-20 minutes and filtered through 0.20µ nylon filters prior to the HPLC analysis.
Chromatographic Conditions: Chromatographic separation was achieved on Acclaimed Mix Mode HILIC-1 column (150 mm × 4.6 mm, 5µm) applying an isocratic elution based on 20 mM ammonium acetate: acetonitrile (75:25, v/v) as a mobile phase. The ultraviolet detector was operated at 230 and 254 nm.
The buffer solution was filtered through 0.2 µm nylon membrane filter and degassed for 10-20 min in an ultrasonic bath prior to its use. The mobile phase was pumped through the column at a flow rate of 1 mL min-1. The column temperature was adjusted to 28°C and the injection volume was 20 µL.
Sample Preparation for Linearity/Calibration Studies: 1000 ppm (1000 µg/ml) of standard stock solution of Remogliflozin, Metformin and Vildagliptin was made separately; then all three drugs solutions were mixed in order to get 100 ppm of each in a homologous mixture.
Subsequently, serial dilutions of five different concentrations such as 65 ppm, 31.50 ppm, 12.25 ppm, 6.25 ppm and 3.12 ppm were made, ultrasonicated and then analysed using the experimental section.
Furthermore, the calibration curve (linearity graph) was plotted Fig. 1, 2, 3 & 4 by calculating the peak area against known concentration to determine LOD, LOQ and regression coefficient (R2) value.
FIG. 1: CALIBRATION CURVE OF REMOGLIFLOZIN
FIG. 2: CALIBRATION CURVE OF VILDAGLIPTIN
FIG. 3: CALIBRATION CURVE OF METFORMIN
Linearity (Calibration) Studies of REM, VIL and MET: The flow rate of the mobile phase was changed by 1.00 ±1 decimal from 1mL/min to 1.1 mL/min and to 0.9mL/min to evaluate the effect of the flow rate; similarly the variation of organic modifier used as acetonitrile was changed by ± 2% from 75% to 77% and 73% to monitor the peak area and retention time. Finally, the effect of wavelength was monitored by making deliberate variation from 230 to 232 and 228 nm and the differences in various system suitability parameters including retention time, peak tailing, capacity factor, resolution and theoretical plates were tested and evaluated. A new methodwas developed for the estimation of Remogliflozin, Vildagliptin and Metformin Fig. 5 and the estimation of Remogliflozin, Vildagliptin and Metformin reported in Table 1 & 2. Robustness study was performed as per the procedure mentioned under the experimental section.
FIG. 4: OVERLAY UV SPECTRA OF METFORMIN, VILDAGLIPTIN AND REMOGLIFLOZIN
FIG. 5: DEVELOPED METHOD FOR ESTIMATION OF REMOGLIFLOZIN, VILDAGLIPTIN AND METFORMIN
TABLE 1: METHOD FOR ESTIMATION OF REMOGLIFLOZIN, VILDAGLIPTIN AND METFORMIN
Peak# | Ret. Time | Area | Height | Area% | T. Plate# | Resolution | k' | Tailing F. |
1 | 1.989 | 560871 | 60781 | 3.8116 | 1012.448 | -- | 0 | 1.332 |
2 | 2.376 | 51178 | 6771 | 0.3478 | 2410.588 | 1.742 | 0.194 | 2.043 |
3 | 3.819 | 4537971 | 385702 | 30.839 | 2452.875 | 5.749 | 0.92 | 1.085 |
4 | 4.869 | 600834 | 49864 | 4.0831 | 3601.997 | 3.318 | 1.448 | 1.188 |
5 | 5.886 | 8964174 | 667980 | 60.9185 | 4381.955 | 2.991 | 1.959 | 1.176 |
Analytes: Remogliflozin (100 ppm); Vildagliptin (100 ppm) and Metformin (100 ppm). Column: Acclaimed Mix-Mode HILIC-1(5µ, 150 x 4.6 mm id). Solvent A; 20 Mm Ammonium acetate B; ACN (100%). Gradient elution: Isocratic elution mode with 20mM AA-ACN (25:75). Flow rate: 1 ml/min. Wavelength: 230 nm. Note: 1. All three selected analytes were well separated and follows all ICH guidelines.
System Suitability Tests for Remogliflozin, Vildagliptin and Metformin:
TABLE 2 SYSTEM SUITABILITY STUDIES OF REM, VIL AND MET
System suitability parameters | Remogliflozin (REM) | Vildagliptin (VIL) | Metformin (REM) |
Theoretical plates (N) | 2452 | 3601 | 4381 |
Capacity Factor (K’) | 0.92 | 1.44 | 1.95 |
Resolution (R) | --- | 3.31 | 2.99 |
Asymmetry/Tailing factor (T) | 1.08 | 1.18 | 1.17 |
Retention time (tR) | 3.81 min. | 4.86 min. | 5.88 min. |
Wavelength of Detection (nm) | 230 nm | 230 nm | 230 nm |
Repeatability (%RSD) | 0.33 | 1.30 | 0.41 |
Intra-Day Precision (%RSD) | 0.29 - 0.84 | 0.62 - 1.95 | 0.43 - 0.79 |
Inter-Day Precision (%RSD) | 0.82 - 1.10 | 0.30 - 1.26 | 0.43 - 1.47 |
Linearity range | 3.9 – 62.5 µg.ml-1 | 3.9 – 62.5 µg.ml-1 | 3.9 – 62.5 µg.ml-1 |
Regression equation | Y= 43936x + 26959 | Y= 5833.2x + 5055.1 | Y= 88345x + 47830 |
SE of intercept (Se) | 4789.20779 | 3113.822334 | 8895.354744 |
SD of intercept (Sa) | 11731.11536 | 7627.275868 | 21789.0802 |
Correlation Coefficient (R2) | 1 | 0.999 | 1 |
LOQa (μg.mL−1) | 2.67 µg/ml | 5.34µg/ml | 1.01 µg/ml |
LODa (μg.mL−1) | 0.80 µg/ml | 1.60µg/ml | 0.30 µg/ml |
Sample Preparation for Drug Accuracy Studies: Exactly 5 tablets of valdiff-M consisting 500 mg of Metformin and 50 mg of Vildagliptin were weighed separately and the average weight was determined. They were mixed and crushed to fine powder into the mortar and pestle. An accurately weighed amount of the finely powdered equivalent to 10 mg was dissolved in 10 ml of Acetonitrile: Methanol: Water (3:3:4). It was then ultrasonicated and filtered through 0.45µ nylon filter. Furthermore, serial dilutions were made to get the final concentration 10 ppm of Vildagliptin and equivalent to 100 ppm of Metformin.
Accuracy Studies of Marketed Formulation: Percentage drug accuracy of three different concentrations; 80%, 100% and 120% (injected thrice) to estimate the Vildagliptin and Metformin from marketed formulation and results obtained have been reported in Table 3-5.
Accuracy can be studied by applying the calibration curve, the Y-intercept and the slope of the graph were used to determine the % drug recovery, attributed to the developed method for the simultaneous quantification of selected drugs or by comparing with similar concentration of reference standard. As resulted, the achieved drug recovery of both Vildagliptin and Metformin were in the range of 100.4-100.7 and 100-105, respectively. As recommended by International conferences of Harmonization (ICH) guidelines the drug recovery should be within the range of 90-110% and the RSD in percentage should be less than 2%. Hence, the calculated drug recoveries for simultaneous estimation of Vildagliptin and Metformin represents Fig. 6 the drug recovery were in the acceptance limit given by ICH guidelines.
FIG. 6: ACCURACY STUDIES OF MARKETED FORMULATION
TABLE 3: ACCURACY STUDIES OF MARKETED FORMULATION
Peak# | Ret. Time | Area | Height | Area% | T. Plate# | Resolution | k' | Tailing F. |
1 | 1.968 | 443132 | 44582 | 4.055 | 946.643 | -- | 0 | 1.64 |
2 | 2.358 | 51396 | 6741 | 0.4703 | 2113.191 | 1.69 | 0.198 | 1.779 |
3 | 3.841 | 42535 | 4108 | 0.3892 | 3144.7 | 6.188 | 0.951 | 1.008 |
4 | 4.903 | 53617 | 4770 | 0.4906 | 4172.946 | 3.679 | 1.491 | 1.157 |
5 | 5.961 | 10337416 | 812366 | 94.5949 | 4976.74 | 3.296 | 2.028 | 1.216 |
TABLE 4: ACCURACY DATA OF VILDAGLIPTIN
Drug Name: Vildagliptin | Drug content: 50 mg | Marketed formulation: Valdiff-50mg | |||||
Std. conc. (%) | Std. (ppm) | Peak area | Drug (%) | Drug (ppm) | Peak area | Avg. peak area | Drug Rec. (%) |
100% | 10 ppm | 53617 | 80 | 8 | 46114 | 45593 | 106.29 |
8 | 45072 | ||||||
100 | 10 | 55323 | 55597 | 103.69 | |||
10 | 55871 | ||||||
120 | 12 | 62036 | 61670 | 95.85 | |||
12 | 61304 | ||||||
Drug recovery Range (%) as per ICH = 100±10% | 95.85– 106.29 % |
TABLE 5: ACCURACY DATA OF METFORMIN
Drug Name: Metformin | Drug content: 500mg | Marketed formulation: Valdiff-500mg | |||||
Std. conc. (%) | Std. (ppm) | Peak area | Drug (%) | Drug (ppm) | Peak area | Avg. peak area | Drug Rec. (%) |
100% | 100 ppm | 10337416 | 80 | 80 | 8083189 | 8083189 | 97.74 |
80 | 8083189 | ||||||
100 | 100 | 9844520 | 9778076 | 94.59 | |||
100 | 9711632 | ||||||
120 | 120 | 12484452 | 12484452 | 100.64 | |||
120 | 12484452 | ||||||
Drug recovery Range (%) as per ICH = 100±10% | 94.59– 100.59 % |
Precision Studies of the Proposed Method: The homologous mixture of Remogliflozin, Metformin and Vildagliptin of similar concentration 100 ppm each were analyzed thrice within the same day (intraday precision) as well as, three successive days (intermediate precision) using the chromatographic condition mentioned in experimental section and then average, mean standard deviation and relative standard deviation (RSD) in percentage was calculate.
Precision Studies for REM, VIL and MET: The precision of HPLC method represents its closeness to the agreement among the series of repetitive results, derived after multiple sampling of the same homogenous mixture of selected drugs under the given conditions. As displayed in Table 6; for intermediate variability for precision studies, this method is significantly precise over the testing range of Remogliflozin, Vildagliptin and Metformin. Moreover, the peak area of all studied samples was also correlated with selected concentration since as observed their percentage relative standard deviation (RSD) was less than 2%. Thus it reflects, the proposed method has acceptable precision with minimum variations and can be applicable for routine analysis.
Intraday and Interday (Intermediate) Precision: Implementing the chromatographic procedure mentioned under experimental section (5.3), the homologous mixture of REM, VIL and MET of three replicates of similar concentrations; were tested within a same day. The percentage RSDs for all three drugs was calculated and they were found less than 2%. The results were shown in Table 6 to 8.
TABLE 6: INTRADAYPRECISION DATA OF REM
Drug Name: Remogliflozin | ||||
S. no. | Concentration (ppm) | Area | Mean ± SD | %RSD |
1 | 100 PPM | 4237971 | 12288.45934 | 0.29 |
100 PPM | 4230084 | |||
100 PPM | 4213869 | |||
2 | 100 PPM | 4200808 | 16765.31563 | 0.40 |
100 PPM | 4234048 | |||
100 PPM | 4221243 | |||
3 | 100 PPM | 4490298 | 37533.234 | 0.84 |
100 PPM | 4451020 | |||
100 PPM | 4526059 | |||
Range of %RSD | 0.29 - 0.84 |
TABLE 7: INTRADAY PRECISION DATA OF VIL
Drug Name: Vildagliptin | ||||
S. no. | Concentration (ppm) | Area | Mean ± SD | %RSD |
1 | 100 PPM | 560834 | 11047.38351 | 1.95 |
100 PPM | 580207 | |||
100 PPM | 561320 | |||
2 | 100 PPM | 564947 | 3525.909244 | 0.62 |
100 PPM | 564161 | |||
100 PPM | 570623 | |||
3 | 100 PPM | 599450 | 7626.440257 | 1.26 |
100 PPM | 603526 | |||
100 PPM | 614217 | |||
Mean %RSD | 0.62 -1.95 |
TABLE 8: INTRADAY PRECISION DATA OF MET
Drug Name: Metformin | ||||
S. no. | Concentration (ppm) | Area | Mean ± SD | %RSD |
1 | 100 PPM | 8464174 | 39790.44931 | 0.47 |
100 PPM | 8475041 | |||
100 PPM | 8401334 | |||
2 | 100 PPM | 8421736 | 36284.71553 | 0.43 |
100 PPM | 8407204 | |||
100 PPM | 8476044 | |||
3 | 100 PPM | 8918273 | 70393.48489 | 0.79 |
100 PPM | 8928364 | |||
100 PPM | 9044930 | |||
Mean %RSD | 0.43 - 0.79 |
Interday (Intermediate) Precision Studies of REM, VIL and MET: Implementing the chromatographic procedure mentioned under experimental section, the homologous mixture of REM, VIL and MET of three replicates of similar concentrations (100 ppm) were tested and evaluated for three successive days (interday/intermediate precision). Furthermore, the percent RSD was calculated and found it is less than 2%; for all selected analytes in simultaneous HPLC-UV analysis Table 9-11.
TABLE 9: INTERDAY (INTERMEDIATE) PRECISION DATA OF REMOGLIFLOZIN
Drug Name: Remogliflozin | ||||
S. no. | Concentration (ppm) | Area | Mean ± SD | %RSD |
DAY 1 | 100 PPM | 4490298 | 37533.234 | 0.84 |
100 PPM | 4451020 | |||
100 PPM | 4526059 | |||
DAY 2 | 100 PPM | 4585701 | 37429.70483 | 0.82 |
100 PPM | 4586439 | |||
100 PPM | 4521243 | |||
DAY 3 | 100 PPM | 4544530 | 49524.65625 | 1.10 |
100 PPM | 4451020 | |||
100 PPM | 4526059 | |||
Range of % RSD | 0.82-1.10 |
TABLE 10: INTERDAY (INTERMEDIATE) PRECISION DATA OF VILDAGLIPTIN
Drug Name: Vildagliptin | ||||
S. no. | Concentration (ppm) | Area | Mean ± SD | %RSD |
Day 1 | 100 PPM | 599450 | 7626.440257 | 1.26 |
100 PPM | 603526 | |||
100 PPM | 614217 | |||
Day 2 | 100 PPM | 621967 | 1881.010455 | 0.30 |
100 PPM | 624338 | |||
100 PPM | 620623 | |||
Day 3 | 100 PPM | 617772 | 7414.895167 | 1.21 |
100 PPM | 603526 | |||
100 PPM | 614217 | |||
Range of % RSD | 0.30 -1.26 |
TABLE 11: INTERDAY (INTERMEDIATE) PRECISION DATA OF METFORMIN
Drug Name: Metformin | ||||
S. No. | Concentration (ppm) | Area | Mean ± SD | %RSD |
Day 1 | 100 PPM | 8918273 | 70393.48489 | 0.79 |
100 PPM | 8928364 | |||
100 PPM | 9044930 | |||
Day 2 | 100 PPM | 8421736 | 36284.71553 | 0.43 |
100 PPM | 8407204 | |||
100 PPM | 8476044 | |||
Day 3 | 100 PPM | 9194615 | 133468.3649 | 1.47 |
100 PPM | 8928364 | |||
100 PPM | 9044930 | |||
Range of % RSD | 0.43 -1.47 |
Robustness for the Chromatographic Method: Robustness of any HPLC method represents its ability to remain unaffected by small but deliberate changes in certain separation factors to ascertain its reliability during routine HPLC analysis. The variation in separation factors such as effect of temperature, flow rate, wavelength, column length, stationary phase particle size, pH, organic modifier composition in mobile phase and injection volume have been considered. The effects of all these variables over changes in retention pattern including effects on capacity/retention factor (k’), resolution (Rs), tailing factor (Tf), separation factor, theoretical plates (N) and peak area can be monitored. In this method, robustness studies was established by making deliberate changes in flow rate (1.0 ± 0.1 ml/minutes), organic modifier as acetonitrile (75±2% ml), and wavelength (230 ±2nm).
As shown in results Fig. 6-7, variation in flow rate and organic modifier have made slight changes in retention pattern like increase in flow rate and organic modifier have reduce the retention time, retention factor and resolution whereas decreasing the same variables have marginally extended the retention time, capacity/retention factor (k’), resolution (Rs). As noted, these variations have not made any significant changes in theoretical plates and tailing factor of all selected drugs.
FIG. 7: EFFECT OF FLOW RATE 1.1 ML/MIN ON REM, VIL AND MET
TABLE 12: ROBUSTNESS STUDIES, EFFECT OF FLOW RATE 1.1 ML/MIN
Peak# | Ret. Time | Area | Height | Area% | T. Plate# | Resolution | k' | Tailing F. |
1 | 1.644 | 151277 | 18092 | 1.2321 | 885.499 | -- | 0 | 1.455 |
2 | 1.971 | 43244 | 6429 | 0.3522 | 1922.323 | 1.631 | 0.199 | 1.728 |
3 | 3.164 | 3848261 | 405655 | 31.3415 | 2446.837 | 5.477 | 0.925 | 1.144 |
4 | 4.049 | 526843 | 53101 | 4.2908 | 3615.224 | 3.367 | 1.462 | 1.202 |
5 | 4.896 | 7708842 | 692296 | 62.7834 | 4296.881 | 2.984 | 1.978 | 1.187 |
FIG. 8: EFFECT OF FLOW RATE 0.9 ML/MIN ON REM, VIL AND MET
TABLE 13: ROBUSTNESS STUDIES, EFFECT OF FLOW RATE 0.9 ML/MIN
Peak# | Ret. Time | Area | Height | Area% | T. Plate# | Resolution | k' | Tailing F. |
1 | 2.53 | 284120 | 23870 | 1.4357 | 1143.558 | -- | 0 | 1.579 |
2 | 3.055 | 68088 | 6208 | 0.3441 | 2124.637 | 1.862 | 0.208 | 1.647 |
3 | 5.086 | 6206012 | 411322 | 31.3605 | 2755.32 | 6.221 | 1.01 | 1.009 |
4 | 6.548 | 848840 | 52961 | 4.2894 | 3755.931 | 3.59 | 1.588 | 1.187 |
5 | 8.028 | 12382193 | 707638 | 62.5703 | 4814.898 | 3.325 | 2.173 | 1.179 |
RESULTS AND DISCUSSION: UV-Vis spectroscopic methods are extensively used analytical techniques due to their simplicity, accuracy, and reproducibility. Many reports have demonstrated the use of derivative spectroscopic methods for the analysis of multicomponent formulations without a prior separation. RGE showed UV absorption in the range of 200 to 300 nm due to the presence of individual five and six membered rings whereas VGN showed below 230 nm due to an absence of an aromatic ring and the presence of an aliphatic nitrile and carbonyl group. However, both analytes did not show any absorption above 300nm hence the analytes were scanned in the wavelength rage of 200 to 300 nm.
In the present work, three processed UV spectroscopic procedures were validated for the concurrent quantification of VGN and RGE. The first procedure was established on the measurement of absorption at zero-crossings of one of the analytes where another analyte had a degree of absorption. For the determination of VGN and RGE, normal absorption spectra were processed into first derivative spectra utilizing 4 nm as ∆λ and a scaling factor of 10. Different wavelengths of 2, 4, 8, and 10 nm were envisaged during the first derivative spectrum; however, 4 nm resulted in smooth spectra so 4 nm was selected. A scaling factor of 10 demonstrated sufficient peak amplitude at a low concentration of VGN; hence, a scaling factor of 10 was selected.
CONCLUSION: The proposed RP-HPLC method was validated as per the International Conference on Harmonization (ICH) Q2B Guiding principle and was found to be appropriate for routine quantitative analysis of Metformin, Vildagliptin and Remogliflozin Etabonate by HILIC chromatography. The fallouts of linearity, precision, accuracy and specificity, were demonstrated to be within the limits. The method makes available selective quantification of Metformin, VGN and RGE with no interference. The method was highly reproducible, reliable, rapid, robust and specific. Consequently, a high proportion of recovery.
ACKNOWLEDGEMENT: Author gratefully acknowledges Mr. A V Chandewar, the Director P Wadhwani College of Pharmacy for Analytical Research also their kind help and providing all necessary facilities.
CONFLICTS OF INTEREST: Nil
REFERENCES:
- Sami W, Ansari T, Butt NS and Hamid MR: Effect of diet on type 2 diabetes mellitus. AReview. International Journal of Health Science 2017; 11: 65–71.
- Magliano DJ, Sacre JW, Harding JL, Gregg EW, Zimmet PZ and Shaw JE: Young-onsettype 2 diabetes mellitus—Implications for morbidity and mortality. Nature Reviews Endocrinology 2020; 16: 21–31.
- Moon MK, Hur KY, Ko SH, Park SO, Lee BW, Kim JH, Rhee SY, Kim H, Choi KM and Kim NH: Committee of Clinical Practice Guidelines of the Korean Diabetes Association.Combination therapy of oral hypoglycemic agents in patients with type 2 diabetesmellitus. Korean Journal of Internal Medicine 2017; 32: 974–983.
- Rena G, Hardie DG and Pearson ER: The mechanisms of action of metformin. Diabetologia 2017; 60: 1577–1585.
- Mohan V, Mithal A, Joshi SR, Aravind SR and Chowdhury S: Remogliflozin Etabonate in the Treatment of Type 2 Diabetes: Design, Development, and Place in Therapy. Drug Design Development Therapy 2020; 14: 2487–2501.
- Markham A, Remogliflozin Etabonate: First global approval. Drugs 2019; 79: 1157–1161.
- Simes BC and MacGregor GG: Sodium-Glucose Cotransporter-2 (SGLT2) Inhibitors: AClinician’s Guide. Diabetes, Metabolic Syndrome and Obesity 2019; 12: 2125–2136.
- Dharmalingam M, Aravind SR, Thacker H, Paramesh S, Mohan B, Chawla M, Asirvatham A, Goyal R, Shembalkar J and Balamurugan R: Efficacy and safety of Remogliflozin Etabonate, a new sodium glucose co-transporter-2 inhibitor, in patients with type2 diabetes mellitus: A 24-week, randomized, double-blind, active-controlledtrial. Drugs 2020; 11: 1–4.
- Zelniker TA, Wiviott SD, Raz I, Im K, Goodrich E and Bonaca MP: SGLT2 inhibitors forprimary and secondary prevention of cardiovascular and renal outcomes in type 2 diabetes: A Systematic review and meta-analysis of cardiovascular outcome trials. Lancet 2019; 393: 31–39.
- Al-Janabi WSK, Mahmood AK, Luaibi HM, Determination of the Dissociation Constants of Metformin from a Second Derivative UV Spectrum. International Journal of Pharmaceutical Sciences and Research 2020; 11: 790–796.
- Chaudhari K, Wang J, Xu Y, Winters A, Wang L, Dong X, Cheng EY Liu R and Yang SH: Determination of metformin bio-distribution by LC-MS/MS in mice treated with a clinicallyrelevant paradigm. PLOS ONE 2020; 15: 0234571.
- Majithia RH, Khodadiya A and Patel VB: Spectrophotometric method development andValidation for simultaneous estimation of Anaglyptic and Metformin HCl BY Q- Absorptionratio method in synthetic mixture. Heliyon 2020: 6: 03855.
- Gedawy A, Al-Salami H and Dass CR: Development and validation of a new analytical HPLC method for simultaneous determination of the antidiabetic drugs, metformin and gliclazide. Journal of Food and Drug Analysis 2019; 27: 315–322.
- Sebaiy MM, El-Adl SM, Baraka MM and Hassan AA: Rapid RP-HPLC method for Simultaneous estimation of metformin, pioglitazone, and glimepiride in human plasma. Acta Chromatographica 2020; 32: 16–21.
- Antonopoulos N, Machairas G, Migias G, Vonapart A, Brakoulia V, Pistos C, Gennimata D and Panderi I: Hydrophilic Interaction Liquid Chromatography-ElectrosprayIonization Mass Spectrometry for Therapeutic Drug Monitoring of Metformin and Rosuvastatinin Human Plasma. Molecules 2018; 23: 1548.
- Bratty Al, Alhazmi HA, Javed SA, Lalitha KG, Asmari M Wölker J and Deeb S: Development and Validation of LC–MS/MS Method for Simultaneous Determination ofMetformin and Four Gliptins in Human Plasma. Chromatographia 2017; 80: 891–899.
- Mohamed D, Elshahe MS, Nasr T, Aboutaleb N and Zakaria O: Novel LC-MS/MS method for analysis of metformin and canagliflozin in human plasma: Application to a pharmacokineticstudy. BMC Chemistry 2019; 13: 82.
- Munde MK, Kulkarni NS, Khiste RH and Sen DB: Development and Validation of Novel Analytical Method for Empagliflozin and Metformin Hydrochloride in Bulk and Pharmaceutical Dosage Form by Four Different Simultaneous Estimation Approaches using UV Spectroscopy. Research Journal of Pharmacy and Technology 2020; 13: 1236–1242.
- Tayade AB, Patil AS and Shirkhedkar AA: Development and Validation of Zero Order UV-Spectrophotometric Method by Area under Curve Technique and High Performance Thin Layer Chromatography for the Estimation of Remogliflozin Etabonate in Bulk and In-House Tablets. Inventi rapid: Pharm analysis and quality assurance 2019; 3: 1–5.
- Tammisetty M, Challa BR, Puttagunta SB, A novel analytical method for the simultaneous estimation of Remogliflozin and metformin hydrochloride by UPLC/PDA in bulk andformulation. Application to the estimation of product traces. Turkish Journal of Pharmaceutical Science 2020; 39699.
- Chohan MS, Elgorashe REE, Balgoname AA, Attimarad M, SreeHarsha N, Venugopala KN, Nair AB and Pottathil S: Eco-friendly Derivative UV Spectrophotometric Methods for Simultaneous Determination of Diclofenac Sodium and Moxifloxacin in Laboratory Mixed Ophthalmic Preparation. Indian Journal of Pharmaceutical Education and Research 2019; 53: 166–174.
- Attimarad M, Chohan MS and Balgoname AA: Simultaneous Determination of Moxifloxacinand Flavoxate by RP-HPLC and Ecofriendly Derivative Spectrophotometry Methods inFormulations. International Journal of Environmental Research and Public Health 2019; 16: 1196.
- Ganorkar SB and Shirkhedkar AA: Design of experiments in liquid chromatography (HPLC) Analysis of pharmaceuticals: Analytics, applications, implications and future prospects. Reviews in Analytical Chemistry 2017; 36: 20160025.
- Hashem H and El-Sayed HM: Quality by design approach for development and validation of RP-HPLC method for simultaneous determination of co-administered levetiracetam and Pyridoxine HCl in prepared tablets. Microchemical Journal 2018; 143: 55–63.
- Hashem H and El-Sayed HM: Quality by Design Strategy for Simultaneous HPLC Determination of Bromhexine HCl and Its Metabolite Ambroxol HCl in Dosage Forms and Plasma. Chromatographia 2020: 83; 123–129.
- Tome T, Žigart N, Časar Z and Obreza A: Development and Optimization of Liquid Chromatography Analytical Methods by Using AQbD Principles: Overview and Recent Advances. Organic Process Research & Development 2019; 23: 1784–1802.
- Patel KG, Patel AT, Shah PA and Gandhi TR: Multivariate optimization for simultaneous determination of aspirin and simvastatin by reverse phase liquid chromatographic method using AQbD approach. Bulletin of Faculty of Pharmacy Cairo University 2017; 55: 293–301.
- Peng X, Yang G, Shi Y, Zhou Y, Zhang M and Li S: Box–Behnken design based statistical modeling for the extraction and physicochemical properties of pectin from sunflower heads andthe comparison with commercial low-methoxyl pectin. Scientific Reports 2020: 10; 3595.
- Tayeb AM, Tony MA and Mansour SA: Application of Box–Behnken factorial design for Parameters optimization of basic dye removal using nano-hematite photo-Fenton tool. Applied Water Science 2018; 8: 138.
- ICH Harmonized Tripartite Guideline; Text on Validation of Analytical Procedures, Text and Methodology, Q2 (R1), International Conference on Harmonization; ICH Secretariat, c/oIFPMA, 30 rue de St-Jean: Geneva, Switzerland 2005; 1–17.
- Lee DH and Jeong IJ: A desirability function method for optimizing mean and variability of multiple responses using a posterior preference articulation approach. Quality and Reliability Engineering International 2018; 34: 360–376.
- Joshi S, Gudi G and Menon VC: An open-label, single-period, two-stage, single oral dosepharmacokinetic study of Remogliflozin Etabonate tablet 100 and 250 mg in healthy Asian Indianmale subjects under fasting and fed conditions. Clinical Pharmacokinetics 2020; 59(3): 349–357.
- ICH Guideline Q2 (R1), Validation of Analytical Procedures, Methodology 1996; 1.
- Shubhangi C, Daswadkar JD and Gaikwad P: Determination of Zolmitriptan in Solid Dosage form by UV Spectroscopic Method. Asian Journal of Pharmacy and Technology 2019; 9(4): 244-248.
- Jagruthi N, Shalem K and Vijaya Sri MA: Development and Validation of UV Spectroscopic Method for the estimation of Sofosbuvir in and Pharmaceutical Dosage Form. Asian Journal of Research in Chemistry 2018; 11(3): 563-568.
How to cite this article:
Bano T, Channawar M and Chandewar AV: Analytical method development and validation of three combination drugs remogliflozin etabonate, metformine and vildagliptin by RP-HPLC technique. Int J Pharm Sci & Res 2023; 14(11): 5472-83. doi: 10.13040/IJPSR.0975-8232.14(11).5472-83.
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Article Information
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5472-5483
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English
IJPSR
Tabassum Bano *, Madhuri Channawar and A. V. Chandewar
P. Wadhwani College of Pharmacy, Dhamangaon Road Yavatmal, Maharashtra, India.
tabassumald@gmail.com
05 April 2023
05 June 2023
09 June 2023
10.13040/IJPSR.0975-8232.14(11).5472-83
01 November 2023