QBD APPROACH FOR THE DEVELOPMENT AND VALIDATION OF STABILITY INDICATING RP-HPLC METHOD FOR SIMULTANEOUS ESTIMATION OF FORMOTEROL FUMARATE AND ACLIDINIUM BROMIDE IN PRESSURIZED METER DOSE INHALER
HTML Full TextQBD APPROACH FOR THE DEVELOPMENT AND VALIDATION OF STABILITY INDICATING RP-HPLC METHOD FOR SIMULTANEOUS ESTIMATION OF FORMOTEROL FUMARATE AND ACLIDINIUM BROMIDE IN PRESSURIZED METER DOSE INHALER
S. K. Mastanamma *, J. Kameswari, T. Satya Anjali, J. Tejaswi, M. Chiranmai and K. Hema Latha
Department of Pharmaceutical Analysis, University College of Pharmaceutical Sciences, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, Andhra Pradesh, India.
ABSTRACT: A Quality design approach to method development involves method goal identification, method scouting and evaluation, method selection, and risk assessment. The present study describes the risk-based HPLC method development and validation of Formoterol fumarate and Aclidinium bromide in a pharmaceutical dosage form. The chromatographic conditions were optimized with the Design Expert software 11.0 version i.e., Kromasil C18 (250×4.6 mm, 5 µm) Mobile phase used was 0.01N Kh2po4 (pH :3.0) (52.4%): Acetonitrile (47.6%), flow rate was found to be 1.0ml/min with retention times of formoterol 2.456 min and Aclidinium 3.573min. The developed method was found to be linear in the range of Formoterol 1.5-9μg/ml, aclidinium 50-300μg/ml with a correlation coefficient of 0.999 for both drugs. The % RSD of intraday and inter-day precision for Formoterol 0.3 & 1.0, Aclidinium 0.7 & 0.4. The robustness values were less than 2%.The assay was found to be 99.91%&99.99% for formoterol and aclidinium bromide. The method validation parameters were in the prescribed limit as per ICH guidelines. Stress studies reveal that both drugs were degraded more in acidic conditions than in alkaline, neutral, oxidative, photolytic and thermal conditions. Hence, the proposed method was stability indicating, using QbD approach all the method parameters were better understood that, reduces the time and cost of the analysis.
Keywords: RP-HPLC, Quality by design, Aclidinium bromide, Formoterol Fumarate, Stress studies
INTRODUCTION: Formoterol fumarate, (N-[2-hydroxy-5-[(1 R)-1-hydroxy-2-[[(2 R)-1-(4-methoxyphenyl) propan-2-yl] amino] ethyl] phenyl] formamide 9 is a long-acting β2-adrenoceptor agonist. It was proven to be a very effective broncho-dilating agent in the treatment of nocturnal and exercise-induced asthma. Inhaled formoterol fumarate acts locally in the lung as a bronchodilator.
To stimulate intracellular adenyl cyclase, the enzyme that catalyzes the conversion of adenosine triphosphate (ATP) to cyclic-3', 5'-adenosine monophosphate (cyclic AMP). An increased cyclic AMP level causes relaxation of bronchial smooth muscle and inhibits the release of pro-inflammatory mast-cell mediators such as histamine and leukotrienes.
The structure of Formoterol fumarate is shown in Fig. 1. Aclidinium bromide (3R)-3-{[hydroxy-2,2-bis(thiophen - 2 - yl) acetyl] oxy} - 1 - (3 phenoxypropyl) - 1 – azabi – cyclo [2.2.2] octan-1-ylium bromide 10 is an anticholinergic for the long-term management of chronic obstructive pulmonary disease (COPD). It was slightly soluble in water, soluble in methanol, and very soluble in acetonitrile. Aclidinium is a long-acting, competitive, and reversible anticholinergic drug specific to the acetylcholine muscarinic receptors. The structure of Aclidinium bromide is shown in Fig. 2.
FIG. 1: STRUCTURE OF FORMOTEROL FUMARATE
FIG. 2: STRUCTURE OF ACLIDINIUM BROMIDE
The literature survey reveals that very few analytical methods like HPLC 11-14 and impurity profiling 15 were reported to estimate these drugs in individual and combined dosage forms. Hence, the authors attempted to develop a stability-indicating RP-HPLC method for simultaneously estimating two drugs in a pressurized meter dose inhaler using the QbD approach. Applying QbD principles during analytical method development and validation 1-7 leads to a reduction in the number of trials, cost, and time.
MATERIALS AND METHODS:
Chemicals and Reagents: Working standards of Formoterol Fumarate (99.85%) and Aclidinium bromide (99.93%) were procured from Spectrum pharma pvt ltd (Hyderabad). Hydrochloric acid (AR) and sodium hydroxide (AR) were obtained from Merck India Pvt Ltd. Hydrogen Peroxide (AR) was purchased from Qauligens. Orthophosphoric acid (AR) and potassium dihydrogen orthophosphate (AR) were obtained from S.D. Fine chem Ltd. HPLC grade Acetonitrile and methanol were purchased from Fischer scientific. HPLC grade water used throughout analysis was obtained from the Merck milli-Q water purification unit.
Apparatus and Equipment: HPLC studies were carried out on WATERS HPLC 2965 SYSTEM with Photo diode array detector (PDA) set at 234 nm for uv detection. viz; Kromasil C18 (150×4.6 mm, 5μm) , Azilent C18 (150×4.6 mm, 5μm), Altima C18 (150×4.6 mm, 5μm) and ODS C18 (150×4.6 mm, 5μm) columns were utilized in the study. Design Expert® (11.0) modeling software (Stat-Ease Inc., Minneapolis, MN, USA) was used for generation of contour plots and 3D space. Entire stress studies were carried out on radley apparatus having continuous stirring and temperature adjustable knob facility. Stress samples were preserved at -30°C freezer facility (Thermo scientific) pH meter (Eutech instruments, India) was used to check the pH of all solutions. Other equipment sonicator (ePEI ultrasonic generator), Analytical balance ( Mettler Toledo), vortex meter (IKA Vortex), Hot air oven (Yorco scientific) and received drug samples were authenticated by melting point apparatus (BUCHI), FT-IR/ATR (BRUKER ALFA), UV-VIS spectrophotometer (Shimadzu-1800, Japan).
Calibration of Instruments and Apparatus: Calibration of instruments like HPLC, pH meter and the weighing balance was done. HPLC was calibrated for Flow rate accuracy, gradient performance check, injector precision & linearity, Detector linearity, Wavelength Accuracy and Carry over. pH meter was calibrated by the triple point method.
Identification of Drug Sample:
By UV-VIS Spectra: 10µg/mL concentration of Formoterol Fumarate and Aclidinium bromide were prepared using methanol and UV spectrum was recorded.
By IR Spectra: Formoterol Fumarate and Aclidinium bromide were scanned in FT-IR spectrometer (Bruker-ALFA) from 4000 to 400 cm-1 and characteristic peaks of functional groups were identified.
By Mass Spectra: Mass of Formoterol Fumarate and Aclidinium bromide were determined using LC-MS/MS (Q-ToF) by injecting dilute drug samples in methanol.
By Melting Point Apparatus: Formoterol Fumarate and Aclidinium bromide were subjected to melt in programmable melting point apparatus (BUCHI) and melting point value was compared with the reported value.
Method Development:
Preparation of Drug Solution: The stock solution was prepared by dissolving 3mg of Formoterol Fumarate and 100mg of Aclidinium bromide in 50ml clean, dry volumetric flask, add 3/4th volume of diluent, sonicated for 5 minutes and making up to the final volume with diluents. Working solutions of different concentrations were prepared by withdrawing the appropriate volume of solution from the stock solution.
Preparation of Buffer:
0.01N Potassium Dihydrogen Ortho Phosphate: Accurately weighed 1.36gm of Potassium dihydrogen Ortho phosphate in a 1000ml of Volumetric flask, add about 900ml of milli-Q water and degas to sonicate and finally make up the volume with milli-Q water then added 1ml of Triethylamine then pH adjusted to 3.0 with dil. Orthophosphoric acid solution.
0.1% Ortho Phosphoric Acid Buffer: 1ML of Ortho phosphoric acid solution in a 1000ml of the volumetric flask; add about 100ml of milli-Q water, and the final volume makes up to 1000 ml with milli-Q water
Initial Chromatographic Conditions: Initial HPLC runs of Formoterol Fumarate and Aclidinium bromide with10 µg/mL concentration were performed using.
- Different buffer viz, Potassium dihydrogen ortho phosphate and Ortho phosphoric acid.
- Different organic modifier viz, acetonitrile and methanol
- Different columns such as Kromasil C18 (250×4.6 mm,5μm), Azilent C18 (150×4.6 mm, 5μm), Altima C18 (150×4.6 mm,5μm) and Phenomenex C18 (150×4.6 mm, 5μm) column.
Optimization of Method: The method was optimized using central composite design (CCD). The initial trials were needed to optimize the final method. A total of three factors viz; % Organic concentration, flow rate, and Column temperature were needed to be optimized.
So, CCD was used to optimize these parameters, which were varied over three levels (high, medium, and low) different levels of three parameters ranging from 0.83-1.17ml/min flow rate, 46.59-53.41% potassium dihydrogen orthophosphate (pH-3), Column temperature ranging from 24.95°C-35.05°C respectively were taken and counter, 3D surface plot showing the effect of each parameter on Retention Time, Resolution, Asymmetry and Theoretical plates (CQA) were generated.
A desirability function is applied to the optimized conditions to predict retention time, resolution, asymmetry, and theoretical plates. Analysis of Variance was also calculated.
Designing of Forced Degradation Studies:
Acid Hydrolysis: To 1 ml of working standard solutions of both drugs, add 1 ml of 2N HCl solution and keep in the Radley apparatus with continuous stirring at 70ºC for 90 min. These stressed samples were neutralized to pH 7, with 2N NaOH, and diluted, analyzed by the HPLC system.
Base Hydrolysis: To 1 ml of working standard solution of both the drugs, add 1 ml of 2N NaOH solution and kept in Radley apparatus with continuous stirring at 70º C for 90 min. These stressed samples were neutralized to pH 7 with 2N HCL and diluted, analysed by the HPLC system.
Neutral Hydrolysis: To 1ml of working standard solution of both the drugs, add 1ml of water and keep in Radley apparatus with continuous stirring at 70º C for 90 min. These stressed samples were diluted and analysed by the HPLC system.
Oxidative Study: To 1 ml of working standard solution of both drugs, add 1 ml of 3% H2O2 solution, and the samples were kept in a dark area without disturbance at room temperature for 24 h. These stressed samples were diluted and analyzed by the HPLC system.
Thermal Degradation: 3mg of Formoterol Fumarate and 100mg of Aclidinium bromide were transferred into a Petri dish and kept in hot air oven at 70ºC for 24 hrs. Sampling was done atmultiple time points. Samples were dissolved in a diluent, and made suitable dilutions, analyzed by the HPLC system
Photo Degradation: 3mg of Formoterol Fumarate and 100mg of Aclidinium bromide were uniformly spread in a Petri dish and exposed to direct sunlight for 8 hrs. Sampling was done at multiple time points and analyzed by the HPLC system.
Method Validation: The final optimized chromatographic analytical method was validated as per ICHQ2(R1) guidelines for system suitability, linearity, accuracy, precision, limit of detection, limit of quantitation and robustness.
Linearity: Standard calibration curves were generated with six different concentrations, including the LOQ by making serial volume-to-volume dilution of stock solution I over the range of 1.5-9µg/ml of Formoterol Fumarate and 50-300µg/ml of Aclidinium bromide. Linear calibration curves were generated between the average peak area and drug concentration. The linearity was examined using linear regression, which was calculated by the least square regression method. The results obtained were as shown in Table 9.
Precision: The precision of the proposed analytical method was determined by repeatability (intraday) and intermediate precision (inter-day). Repeatability defines the use of the analytical procedure within a laboratory over a short time that was examined by assaying the samples during the same day. Intermediate precision was evaluated by comparing the assays on different days. SD and %RSD were determined. System precision also performed. The results obtained were as shown in Tables 10 & 11.
Accuracy: The accuracy experiments were carried out using the standard addition method. Three different recovery level concentrations (50%, 100%, and 150%) of standards were added to pre-analyzed samples in triplicate. The percentage recovery of Formoterol Fumarate and Aclidinium bromide at each level in triplicate were calculated, and the mean percentage recovery (n=9) and the relative standard deviation were determined. The results obtained were as shown in Tables 12 & 13.
Limits of Detection and Quantitation: Limits of detection (LOD) and limit of quantitation (LOQ) were determined from the signal-to-noise ratio. The detection limit was referred to as the lowest concentration level resulting in a peak area of three times the baseline noise. The quantitation limit was referred to as the lowest concentration level, providing a peak area with a signal-to-noise ratio higher than ten. The results obtained were as shown in Table 14.
System Suitability: The system suitability was determined by taking six replicates of both the drugs at concentrations of Formoterol fumarate 3μg/ml and aclidinium bromide 100μg/ml. The acceptance criteria was ± 2% for the percent coefficient of variation (% CV) for the peak area, retention time of drug, USP Plate Count and asymmetry.
Robustness: Robustness is one of the validation parameter; it is a measure of the method's capacity to remain unaffected by small, deliberate changes in chromatographic conditions was studied by testing the influence of small changes in the organic content of mobile phase (±2%), flow rate (±2%) and Temp (±℃). The results obtained were as shown in Table 15.
RESULTS AND DISCUSSION:
Selection of Detection Wavelength: After scanning from 200 to 400nm in a UV-VIS spectrophotometer, Formoterol Fumarate showed absorption maxima at 225nm in methanol, and Aclidinium bromide showed absorption maxima at 230 nm in methanol. Isobestic points for both drugs were determined.
Method Development by Doe:
Parameter Selection: Various preliminary HPLC trials were carried out for a selection of column and organic modifiers. The choice of a Kromasil C18 column based on the preliminary investigation was selected among Azilent C18, Altima C18, phenomenex c18 column, and Kromasil C18 (250×4.6 mm, 5 µm) columns. A Kromasil C18 column has less tailing, higher theoretical plate and good shape of drugs peaks compared to the phenomenex column. Selection of a suitable organic modifier was also important to get better selectivity with adequate separation of all analytes. Commonly used organic solvents for the reversed-phase HPLC include Methanoland Acetonitrile. From that trial, acetonitrile was an ideal and suitable organic modifier compared to methanol because Formoterol Fumarate and Aclidinium bromide were solubilized in acetonitrile compared to methanol. Therefore, acetonitrile was selected and finalized as the organic modifier for further optimization study.
Optimization of Proposed Method: To understand the results, 2D contour plots and 3D plot were generated after processing all data using the Design Expert® software Fig. 3A and 3B.
It shows the two-dimensional contour plot as a function of % organic concentration, flow rate, and column temperature. Based on the color code, the working region can be easily identified. Retention time maps represent the value of the retention time, with warm “red” colors indicating larger retention time, cold “blue” colors lower, and light green to a yellow color representing intermediate retention time. The results of the ANOVA test for retention times Tables 2 & 3, resolution Table 4, Asymmetry Table 5 and Theoretical plates Table 6 for both drugs were mentioned.
TABLE 1: DESIGN SUMMARY OF CCD
Design Summary | |||||
Study Type: Response surface, Design Type: Central composite Design, Design Model: Quadratic | ATP: Robustness, CQA: Retention time, Theoretical plates and Asymmetry, Runs: 20 | ||||
CMPs | Unit | Type | Subtype | Min. | Max. |
Column temperature | ℃ | Numeric | Continuous | 24.95 | 35.05 |
Flow rate | ml/min | Numeric | Continuous | 0.83 | 1.17 |
% Org ratio | %v/v | Numeric | Continuous | 46.59 | 53.41 |
TABLE 2: ANOVA TABLE FOR RETENTION TIME OF FORMOTEROL FUMARATE USING CCD
Source | Sum of Squares | df | Mean Square | F-value | p-value | Response |
Model | 1.31 | 9 | 0.1460 | 79.85 | < 0.0001 | Significant |
A-MP | 0.2792 | 1 | 0.2792 | 152.68 | < 0.0001 | |
B-FR | 1.00 | 1 | 1.00 | 548.58 | < 0.0001 | |
C-T | 0.0009 | 1 | 0.0009 | 0.4806 | 0.5040 | |
AB | 0.0009 | 1 | 0.0009 | 0.5174 | 0.4884 | |
AC | 0.0005 | 1 | 0.0005 | 0.2713 | 0.6138 | |
BC | 0.0002 | 1 | 0.0002 | 0.0936 | 0.7659 | |
A² | 7.217E-07 | 1 | 7.217E-07 | 0.0004 | 0.9845 | |
B² | 0.0278 | 1 | 0.0278 | 15.18 | 0.0030 | |
C² | 0.0025 | 1 | 0.0025 | 1.36 | 0.2709 | |
Residual | 0.0183 | 10 | 0.0018 | |||
Lack of Fit | 0.0181 | 5 | 0.0036 | 109.48 | < 0.0001 | significant |
Pure Error | 0.0002 | 5 | 0.0000 | |||
Cor Total | 1.33 | 19 |
FIG. 3(A): 2D CONTOUR PLOTS OF RETENTION TIME AS A FUNCTION OF FR, COLUMN TEMPERATURE AND ORGANIC RATIO
In order to understand the results, 2D contour plots and 3D plot were generated after processing all data using the Design Expert® software Fig. 3A and 3B. It shows the two-dimensional contour plot as a function of % organic concentration, flow rate, and column temperature. Based on the color code, the working region can be easily identified. Retention time maps represent the retention time value, with warm “red” colors indicating larger retention time, cold “blue” colors lower, and light green to a yellow color representing intermediate retention time. The results of the ANOVA test for retention times Tables 2 & 3, resolution Table 4, Asymmetry Table 5, and Theoretical plates Table 6 for both drugs were mentioned.
FIG. 3(B): 3D CONTOUR PLOTS OF RETENTION TIME AS A FUNCTION OF FR, COLUMN TEMPERATURE AND ORGANIC RATIO
TABLE 3: ANOVA TABLE FOR RETENTION TIME OF ACLIDINIUM BROMIDE USING CCD
Source | Sum of Squares | df | Mean Square | F-value | p-value | Response |
Model | 6.10 | 9 | 0.6778 | 141.47 | < 0.0001 | significant |
A-MP | 3.90 | 1 | 3.90 | 813.07 | < 0.0001 | |
B-FR | 1.98 | 1 | 1.98 | 412.47 | < 0.0001 | |
C-T | 0.0111 | 1 | 0.0111 | 2.32 | 0.1588 | |
AB | 0.0031 | 1 | 0.0031 | 0.6431 | 0.4412 | |
AC | 0.0010 | 1 | 0.0010 | 0.2161 | 0.6520 | |
BC | 0.0112 | 1 | 0.0112 | 2.33 | 0.1577 | |
A² | 0.1892 | 1 | 0.1892 | 39.50 | < 0.0001 | |
B² | 0.0201 | 1 | 0.0201 | 4.19 | 0.0677 | |
C² | 0.0000 | 1 | 0.0000 | 0.0031 | 0.9565 | |
Residual | 0.0479 | 10 | 0.0048 | |||
Lack of Fit | 0.0477 | 5 | 0.0095 | 187.00 | < 0.0001 | significant |
Pure Error | 0.0003 | 5 | 0.0001 | |||
Cor Total | 6.15 | 19 |
FIG. 4(A): 2D CONTOUR PLOTS OF RETENTION TIME AS A FUNCTION OF FR, COLUMN TEMPERATURE AND ORGANIC RATIO
In order to understand the results, contour plots and 3D plot were generated after processing all data using the Design Expert® software Fig. 4A and 4B. It shows the two-dimensional contour plot as a function of % organic concentration, flow rate, and column temperature. Based on the color code, the working region can be easily identified. Retention time maps represent the retention time value, with warm “red” colors indicating larger retention time, cold “blue” colors lower, and light green to a yellow color representing intermediate retention time. 2D and 3D counterplots for resolution Fig. 5A and 5B, Asymmetry Fig. 6A and 6B & Theoretical plates Fig. 7A and 7B were also plotted using Design Expert® software.
FIG. 4(B): 3D CONTOUR PLOTS OF RETENTION TIME AS A FUNCTION OF FR, COLUMN TEMPERATURE AND ORGANIC RATIO
TABLE 4: ANOVA TABLE FOR RESOLUTION USING CCD
Source | Sum of Squares | df | Mean Square | F-value | p-value | Response |
Model | 17.51 | 9 | 1.95 | 6.74 | 0.0031 | significant |
A-MP | 12.28 | 1 | 12.28 | 42.54 | < 0.0001 | |
B-FR | 0.0025 | 1 | 0.0025 | 0.0088 | 0.9271 | |
C-T | 1.15 | 1 | 1.15 | 3.99 | 0.0735 | |
AB | 0.3200 | 1 | 0.3200 | 1.11 | 0.3171 | |
AC | 0.1250 | 1 | 0.1250 | 0.4331 | 0.5253 | |
BC | 0.0200 | 1 | 0.0200 | 0.0693 | 0.7977 | |
A² | 0.0855 | 1 | 0.0855 | 0.2964 | 0.5981 | |
B² | 0.6104 | 1 | 0.6104 | 2.11 | 0.1765 | |
C² | 2.96 | 1 | 2.96 | 10.26 | 0.0094 | |
Residual | 2.89 | 10 | 0.2886 | |||
Lack of Fit | 2.87 | 5 | 0.5746 | 215.47 | < 0.0001 | significant |
Pure Error | 0.0133 | 5 | 0.0027 | |||
Cor Total | 20.40 | 19 |
FIG. 5(A): 2D CONTOUR PLOTS OF RESOLUTION AS A FUNCTION OF FR, COLUMN TEMPERATURE AND ORGANIC RATIO
FIG. 5(B): 3D CONTOUR PLOTS OF RESOLUTION AS A FUNCTION OF FR, COLUMN TEMPERATURE AND ORGANIC RATIO
TABLE 5: ANOVA TABLE FOR ASYMMETRY OF FORMOTEROL FUMARATE USING CCD
Source | Sum of Squares | df | Mean Square | F-value | p-value | Response |
Model | 0.0907 | 6 | 0.0151 | 2.92 | 0.0497 | significant |
A-MP | 0.0297 | 1 | 0.0297 | 5.73 | 0.0325 | |
B-FR | 0.0066 | 1 | 0.0066 | 1.27 | 0.2795 | |
C-T | 0.0007 | 1 | 0.0007 | 0.1415 | 0.7129 | |
AB | 0.0113 | 1 | 0.0113 | 2.17 | 0.1642 | |
AC | 0.0312 | 1 | 0.0312 | 6.04 | 0.0288 | |
BC | 0.0113 | 1 | 0.0113 | 2.17 | 0.1642 | |
Residual | 0.0673 | 13 | 0.0052 | |||
Lack of Fit | 0.0589 | 8 | 0.0074 | 4.42 | 0.0592 | not significant |
Pure Error | 0.0083 | 5 | 0.0017 | |||
Cor Total | 0.1580 | 19 |
FIG. 6(A): 2D CONTOUR PLOTS OF ASYMMETRY OF FORMOTEROL FUMARATE AS A FUNCTION OF FLOW RATE, COLUMN TEMPERATURE AND ORGANIC RATIO
FIG. 6(B): 3D CONTOUR PLOTS OF ASYMMETRY OF FORMOTEROL FUMARATE AS A FUNCTION OF FLOW RATE , COLUMN TEMPERATURE AND ORGANIC RATIO
TABLE 6: ANOVA TABLE FOR THEORETICAL PLATES OF ACLIDINIUM BROMIDE USING CCD
Source | Sum of Squares | df | Mean Square | F-value | p-value | Response |
Model | 1.571E+07 | 9 | 1.746E+06 | 6.76 | 0.0031 | significant |
A-MP | 86757.33 | 1 | 86757.33 | 0.3357 | 0.5751 | |
B-FR | 7.037E+05 | 1 | 7.037E+05 | 2.72 | 0.1299 | |
C-T | 5.164E+05 | 1 | 5.164E+05 | 2.00 | 0.1878 | |
AB | 2.552E+06 | 1 | 2.552E+06 | 9.88 | 0.0105 | |
AC | 3.114E+05 | 1 | 3.114E+05 | 1.20 | 0.2981 | |
BC | 1.752E+06 | 1 | 1.752E+06 | 6.78 | 0.0263 | |
A² | 1.450E+06 | 1 | 1.450E+06 | 5.61 | 0.0393 | |
B² | 1.684E+06 | 1 | 1.684E+06 | 6.52 | 0.0287 | |
C² | 8.046E+06 | 1 | 8.046E+06 | 31.14 | 0.0002 | |
Residual | 2.584E+06 | 10 | 2.584E+05 |
FIG. 7(A): 2D CONTOUR PLOTS OF THEORETICAL PLATES OF ACLIDINIUM BROMIDE AS A FUNCTION OF FR, COLUMN TEMPERATURE AND ORGANIC RATIO
FIG. 7(B): 3D CONTOUR PLOTS OF THEORETICAL PLATES OF ACLIDINIUM BROMIDE AS A FUNCTION OF FR, COLUMN TEMPERATURE AND ORGANIC RATIO
Optimized HPLC Conditions: 3D space was obtained after processing all data using the software to understand the results. A composite desirability was applied to get an optimum set of conditions based on each response's specified goals and boundaries.
This desirability function was depends on a scale of desirability function ranges between d = 0, for a completely undesirable response, to d = 1 for a fully desirable response Based on the specified goals and boundaries for the retention time of Aclidinium bromide, Formoterol Fumarate, resolution, Asymmetry and composite desirability (D) of 1 was obtained, which gave the optimal flow rate of 1 ml/min.
To confirm this optimum set of conditions, three replicate injections of 100 µg/ml of Aclidinium bromide, and 3µg/ml of Formoterol Fumarate were analyzed to determine their observed retention time of both drugs, resolution, asymmetry and theoretical plates were within the predicted ranges. It was observed that the differences between the observed and predicted peak responses were less than 5%. The overall desirability of the final method and optimized chromatogram were shown in Fig. 8 & 9. By considering all these parameters, a simple and robust method was optimized. The optimized chromatographic conditions were as shown in Table 7.
FIG. 8: OVERALL DESIRABILITY OF THE FINAL METHOD
TABLE 7: OPTIMIZED HPLC METHOD PARAMETER
Condition | Result |
Mobile phase | (52.4%) 0.01N Kh2po4: Acetonitrile (47.6%) |
Column | Kromasil C18 (250×4.6 mm, 5 µm) |
pH | 3.0 |
Flow rate | 1ml/min |
Column temperature | 27.5°C |
FIG. 9: A CHROMATOGRAM OF THE FINAL OPTIMIZED METHOD
Stress Degradation Studies:
Acid Hydrolysis: Both the drugs were exposed to 2N HCl, kept for reflux in Radley apparatus at 70 0C temperature for 90 mins, it showed that 6.34% of Aclidinium bromide and 6.11% of Formoterol Fumarate degradation in acid hydrolysis. The obtained chromatogram as shown in Fig. 10.
FIG. 10: ACHROMATOGRAM OF ACID HYDROLYSIS (2N HCL)
Base Hydrolysis: Both the drugs were exposed to 2NNaOH, and kept for reflux in Radley apparatus at 70 0C temperature for 90 min, it showed that 4.95% of Aclidinium bromide and 4.90% of Formoterol Fumarate degradation in base hydrolysis with one degradation products. The obtained chromatogram is shown in Fig. 11.
FIG. 11: A CHROMATOGRAM OF BASE HYDROLYSIS (2N NAOH)
Neutral hydrolysis: Both the drugs were exposed to water, kept for reflux in Radley apparatus at 70 °C temperature for 90 min; it was showing that no degradation in neutral hydrolysis. The obtained chromatogram as shown in Fig. 12.
FIG. 12: ACHROMATOGRAM OF NEUTRAL HYDROLYSIS
Oxidative Degradation: Both the drugs were exposed to 3% H2O2, at room temperature for 24 hours, 5.96% of Aclidinium bromide and 5.68% of Formoterol Fumarate degradation in 3% H2O2 solution at the end of 24 hrs was observed. The obtained chromatogram is shown in Fig. 13.
FIG. 13: A CHROMATOGRAM OF OXIDATIVE DEGRADATION (3%H2O2)
The blank solutions were also subjected to stress study in the same fashion as the drug solution.
The exposed stress sample and blank solutions were analyzed by HPLC system in all the conditions mentioned above.
Thermal Degradation: Both the drug substances were exposed to 70°C for 24 hrs in a hot air oven; 3.38% of Aclidinium bromide and 2.65% of Formoterol Fumarate degradation was found at the end of 24 hrs of exposure. The obtained chromato-gram as shown in Fig. 14.
FIG. 14: A CHROMATOGRAM OF THERMAL DEGRADATION
Photo Degradation: Both the drug substances were exposed to direct sunlight for 8 hours; 1.60% of Aclidinium bromide and 1.37% of Formoterol Fumarate degradation was found at the end of 8 hrs of exposure. The obtained chromatogram as shown in Fig. 15. The results of degradation studies were mentioned in Table 8.
FIG. 15: CHROMATOGRAM OF PHOTOLYTIC DEGRADATION
TABLE 8: SUMMARY OF DEGRADATION STUDIES
S. no. | Condition of degradation study | % of Aclidiniumbromide
degraded |
% Of Formoterol Fumarate degraded | Retention time of degradant |
1. | 2N HCl, 90 min | 6.34% | 6.11% | 1.643min |
2. | 2N NaOH, 90 min | 4.95% | 4.90% | 1.647min |
3. | Neutral hydrolysis, 90 min | No degradation | No degradation | - |
4. | Oxidative degradation, 24 h | 5.96% | 5.68% | 1.70min |
5. | Thermal degradation,
24 h |
3.38% | 2.65% | - |
6. | Photo degradation, 8 h | 1.60% | 1.37% | - |
Method Validation:
Specificity: Retention times of Formoterol and Aclidinium were 2.350 min and 3.412 min, respectively. Did not found any interfering peaks in blank and placebo at retention times of these drugs in this method. So, the proposed method was said to be specific. The obtained chromatograms were as shown in Fig. 16A, 16B & 16C.
FIG. 16(A): CHROMATOGRAMOF BLANK
FIG. 16(B): CHROMATOGRAMOF PLACEBO
FIG. 16(C): TYPICAL CHROMATOGRAM
Retention times of Formoterol and Aclidinium were 2.350 min and 3.412 min, respectively. Did not found any interfering peaks in blank and placebo at retention times of these drugs in this method. So, the proposed method was said to be specific. The obtained chromatograms were as shown in Fig. 16A, 16B & 16C.
Linearity: Six linear concentrations of Formoterol (1.5-9µg/ml) and Aclidinium (50-300µg/ml) were injected six times. The average areas mentioned above and linearity equations obtained for Formoterol were y =57695x + 4535.1 as shown in Fig. 17 and for Aclidinium y =46398x +50500 as shown in Fig. 18.
The correlation coefficient obtained was 0.999 for the two drugs. The obtained results were as shown in Table 9.
TABLE 9: LINEARITY TABLE FOR FORMOTEROL AND ACLIDINIUM
Formoterol | Aclidinium | ||
Conc (μg/mL) | Avg Peak area(n=6) | Conc (μg/mL) | Avg Peak area(n=6) |
1.5 | 86926 | 50 | 2389865 |
3 | 174305 | 100 | 4660978 |
4.5 | 271644 | 150 | 6960317 |
6 | 359391 | 200 | 9360350 |
7.5 | 431453 | 250 | 11759430 |
9 | 520886 | 300 | 13890150 |
FIG. 17: CALIBRATION CURVE OF FORMOTEROL
FIG. 18: CALIBRATION CURVE OF ACLIDINIUM
Precision:
System Precision: Six injections were given from a single volumetric flask of working standard solution, and the obtained areas were mentioned above. Average area, standard deviation and % RSD were calculated for two drugs. % RSD obtained as 1.0% and 0.5%, respectively, for Formoterol and Aclidinium. As the limit of precision was less than “2” the system precision was passed in this method. The obtained results were as shown in Table 10.
TABLE 10: SYSTEM PRECISION TABLE OF FORMOTEROL AND ACLIDINIUM
S. no. | Area of Formoterol | Area of Aclidinium |
1. | 346573 | 9241736 |
2. | 350884 | 9342941 |
3. | 351792 | 9223810 |
4. | 345411 | 9257503 |
5. | 344686 | 9307162 |
6. | 342751 | 9331867 |
Mean | 347016 | 9284170 |
S.D | 3582.3 | 49825.2 |
%RSD | 1.0 | 0.5 |
Precision: Multiple sampling from a same stock solution was done and six working sample solutions of same concentrations were prepared, each injection from each working sample solution was given on same day and three successive days of the sample preparation and obtained areas were mentioned in the above Table 11. Average area, standard deviation and % RSD were calculated for two drugs. As the limit of precision was less than “2” the precision was passed in this method.
TABLE 11: PRECISION TABLE OF FORMOTEROL AND ACLIDINIUM
S. no. | Name of the Drug | Intraday precision | Inter day Precision | ||||
Mean | SD | %RSD | Mean | SD | %RSD | ||
1 | Formoterol fumarate | 345136 | 940.8 | 0.3 | 304759 | 2896.5 | 1.0 |
2 | Aclidinium bromide | 9290851 | 67438.5 | 0.7 | 9193650 | 35087.6 | 0.4 |
Accuracy: Three levels of Accuracy samples were prepared by the standard addition method. Triplicate injections were given for each level of accuracy, and mean %Recovery was obtained as 100.40% and 99.94% for Formoterol and Aclidinium, respectively. The results obtained were as shown in Tables 12 & 13.
TABLE 12: ACCURACY TABLE OF FORMOTEROL
% Level | Amount Spiked (μg/mL) | Amount recovered (μg/mL) | % Recovery | Mean %Recovery |
50% | 3 | 3.01 | 100.54 | 100.40% |
3 | 3.03 | 101.30 | ||
3 | 2.98 | 99.37 | ||
100% | 6 | 5.94 | 99.17 | |
6 | 6.08 | 101.34 | ||
6 | 6.04 | 100.83 | ||
150% | 9 | 9.05 | 100.65 | |
9 | 8.94 | 99.39 | ||
9 | 9.09 | 101.03 |
TABLE 13: ACCURACY TABLE OF ACLIDINIUM
% Level | Amount Spiked (μg/mL) | Amount recovered (μg/mL) | % Recovery | Mean %Recovery |
50% | 100 | 99.60 | 99.60 | 99.94% |
100 | 101.42 | 101.43 | ||
100 | 99.36 | 99.37 | ||
100% | 200 | 198.26 | 99.13 | |
200 | 200.66 | 100.33 | ||
200 | 197.92 | 98.96 | ||
150% | 300 | 299.51 | 99.84 | |
300 | 301.13 | 100.38 | ||
300 | 301.34 | 100.45 |
Sensitivity:
TABLE 14: SENSITIVITY TABLE OF FORMOTEROL AND ACLIDINIUM
Name of the drug | LOD (µg/ml) | LOQ (µg/ml) |
Formoterol | 0.03 | 0.17 |
Aclidinium | 0.99 | 2.97 |
Robustness:
TABLE 15: ROBUSTNESS DATA FOR FORMOTEROL AND ACLIDINIUM
S. no. | Condition | %RSD of Formoterol | %RSD of Aclidinium |
1 | Flow rate 0.8ml/min | 0.9 | 0.6 |
2 | Flow rate 1.2ml/min | 0.7 | 0.3 |
3 | Mobile phase 60B:40A | 0.8 | 0.6 |
4 | Mobile phase 50B:50A | 0.6 | 0.4 |
5 | Temperature 27°C | 0.8 | 0.3 |
6 | Temperature 33°C | 1.1 | 0.6 |
Robustness conditions like flow rate (±0.2), % of organic content in the mobile phase (±2%) and column temperature (±3°C) was maintained and samples were injected in duplicate manner. System suitability parameters were not much affected and all the parameters were passed. %RSD was within the limit.
Assay: (Duaklir pressair) bearing the label claim Formoterol 12mcg, Aclidinium 400mcg. An assay was performed with the above formulation. % Assay for Formoterol and Aclidinium obtained was 99.91% and 99.99%, respectively. The chromatogram of the formulation is shown in Fig. 19.
TABLE 16: ASSAY DATA OF FORMOTEROL
Name of the drug | Label claim (mcg) | Estimated amount (n=6) (mcg) | %Assay |
Formoterol fumarate | 12 | 11.99 | 99.91% |
Aclidinium bromide | 400 | 399.97 | 99.99% |
FIG. 19: CHROMATOGRAM OF FORMULATION
CONCLUSION: A simple analytical and robust HPLC method was developed to determine Formoterol Fumarate and Aclidinium bromide using the QbD approach using Design Expert® software, which is capable of separating drug substances from the degradation products. Stress degradation studies have been performed for the drug by using various stress conditions. No degradation products were found in the case of neutral hydrolysis, photodegradation, and thermal degradation. One degradation product was found in acidic, basic, and oxidative conditions. Results obtained from the validation of the developed analytical method were within the limit as per ICH guidelines.
ACKNOWLEDGMENT: Authors are thankful to Spectrum laboratories, Hyderabad, for providing the necessary instruments to carry out the research work. The authors thank the university college of pharmaceutical sciences for providing library facilities throughout the research.
CONFLICTS OF INTEREST: Nil
REFERENCES:
- Abdurrahman PKS & Saxena A: Glances into the Realm of quality by design (QBD) in Pharmaceuticals. International J of Drug Development and Research 2014.
- Bhatt DA & Rane SI: QbD approach to analytical RPHPLC method development and its validation. International Journal of Pharmacy and Pharmaceutical Sciences 2011; 3: 179-187.
- Bhoop BS: Quality by Design (QbD) for holistic pharma excellence and regulatory compliance. Pharm Times 2014; 46: 26-33.
- Karmarkar S, Garber R, Genchanok Y, George S, Yang X & Hammond R: Quality by design (QbD) based development of a stability indicating HPLC method for drug and impurities. Journal of Chromatographic Science 2011; 49: 439-446.
- Monks K, Rieger HJ & Molnár I: Expanding the term “Design Space” in high performance liquid chromatography (I). Journal of Pharmaceutical and Biomedical Analysis 2011; 56: 874-879.
- Raman N, Mallu UR & Bapatu HR: Analytical quality by design approach to test method development and validation in drug substance manufacturing. Journal of Chemistry 2015.
- Sangshetti JN, Deshpande M, Zaheer Z, Shinde DB & Arote R: Quality by design approach: Regulatory need. Arabian Journal of Chemistry 2014; 1-14.
- Chafetz L: Stability indicating assay methods for drugs and their dosage forms. Journal of Pharmaceutical Sciences 1971; 60: 335-345.
- https://pubchem.ncbi.nlm.nih.gov/compound/Formoterol-fumarate
- https://pubchem.ncbi.nlm.nih.gov/compound/Aclidinium-bromide.
- Srinivasu K and Rao JV: Simultaneous RP-HPLC Method for the estimation of formoterol fumarate and tiotropium bromide in pharmaceutical dosage forms. Asian Journal of Chemistry 2010; 22(5): 3943-3948.
- Rakshit Kanubhai Trivedi: A rapid, stability-indicating rp-hplc method for the simultaneous determination of formoterol fumarate, tiotropium bromide, and ciclesonide in a pulmonary drug product. SP 2012; 80: 591–603.
- Samuel O. Akapo and Muhammad Asif: Validation of a RP-HPLC method for the assay of formoterol and its related substances in formoterol fumarate dihydrate drug substance. Journal of Pharmaceutical and Biomedical Analysis 2003; 33(5): 935-945.
- Sai Suharshini Polisetty and Guruva Reddy M: A Novel RP-HPLC Method for the Simultaneous Estimation of aclidinium bromide and formoterol fumarate in bulk and pharmaceutical dosage forms with stability studies. Inter J of Pharmacy and Pharma Sciences 2020; 19(3): 517506.
- Ravi Chikke Gowda: Simultaneous RP-HPLC method for determination of impurities in formoterol fumarate and aclidinium bromide in pharmaceutical dosage forms. Chemistry Published 2016.
How to cite this article:
Mastanamma SK, Kameswari J, Anjali TS, Tejaswi J, Chiranmai M and Latha KH: QBD approach for the development and validation of stability indicating RP-HPLC method for simultaneous estimation of formoterol fumerate and aclidinium bromide in pressurized meter dose inhaler. Int J Pharm Sci & Res 2023; 14(6): 2948-68. doi: 10.13040/IJPSR.0975-8232.14(6).2948-68.
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IJPSR
S. K. Mastanamma *, J. Kameswari, T. Satya Anjali, J. Tejaswi, M. Chiranmai and K. Hema Latha
Department of Pharmaceutical Analysis, University College of Pharmaceutical Sciences, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, Andhra Pradesh, India.
masthanamma.sk@gmail.com
04 October 2022
24 November 2022
26 November 2022
10.13040/IJPSR.0975-8232.14(6).2948-68
01 June 2023