Central Composite Design Aided Method Development and Validation of a Reverse Phase HPLC Method for Escitalopram in Synthetic Mixture
Kajal Vable Deshmukh*, Priti Kale, Madhuri Deshmukh, Minal Ghante
Department of Pharmaceutical Quality Assurance, Smt. Kashibai Navale College of Pharmacy,
Sinhgad Institute of Pharmacy, Kondhwa, Savitribai Phule, Pune University.
*Corresponding Author E-mail: vablekajal@gmail.com
ABSTRACT:
The goal of this study was to use high-performance liquid chromatography with an Analytical Quality by Design (AQbD). The experiment was performed on a Methanol: Water HPLC system equipped with a Raptor C-18 column. To achieve chromatographic separation, a mobile phase of Triethylamine buffer (0.05%; pH 3.0) and Ortho Phosphoric acid in an 80:20 v/v ratio was used with a flow rate of 0.7mL/min for 10 minutes at 235 nm. AQbD was used to optimize chromatographic conditions using a central composite design (CCD). A factorial design of 17 (three factors and three responses) was used with StatEase Inc.'s Design Expert 10.0.1 software. The HPLC method was validated using ICH, and it met all acceptance criteria. In the dilution range of 10to60µg/mL, the procedure was shown to be linear. HPLC method development and validation for tablet dosage form qualitative determination of antidepressants and antipsychotic drugs in a respective manner.
KEYWORDS: Escitalopram, AQbD, Method development and Validation, ICH Guidelines, etc.
INTRODUCTION:
Selective serotonin reuptake inhibitors (SSRIs) and serotonin–norepinephrine reuptake inhibitors (SNRIs) are first-line pharmacological treatments for people with major depressive disorder (MDD) and anxiety disorders. However, SSRIs and SNRIs are associated with a range of side effects, including loss of appetite, weight loss, drowsiness, dizziness, fatigue, headaches, increased suicidal thoughts, nausea/vomiting, sexual dysfunction, and increased risk of cardiovascular and cerebrovascular events.
While specific antidepressant side effects are diverse, they also occur generally with a high frequency, intensity, and burden. Previous studies suggest that frequency, intensity, and burden of side effects are impacted by antidepressant treatment type, anxiety symptoms, and the presence of anxious depression.1- 4
Figure 1: Structure of Escitalopram (ESCI)5
MATERIALS AND HPLC METHOD DEVELOPMENT:6,7
Selection of Analytical Technique
Chromatographic conditions:
Table 1: Chromatographic condition HPLC method development
1. |
HPLC |
Younglin (S.K) Gradient System UV Detector |
|
2. |
Software |
Autochro -3000 |
|
3. |
Column |
(Cosmosil) C18 column (4.6mm x 250mm) |
|
4. |
Particle size packing |
5 mm |
|
5. |
Stationary phase |
C18 (Cosmosil) |
|
6. |
Mobile Phase |
methanol: water 0.05%TEA pH 3 Adjusted with OPA (80:20%v/v) |
|
6. |
Detection Wavelength |
235 nm |
|
8. |
Flow rate |
0.7 ml/min |
|
9. |
Temperature |
Ambient |
|
10. |
Sample size |
20 ml |
|
11. |
pH |
3.0 |
|
12. |
Run Time |
10 min |
|
13. |
Filter paper |
0.45 mm |
Table 2: Selected Optimised Mobile Phase
|
Column used |
Mobile phase, Flow Rateand Wavelength |
Inj. Vol. |
Observat ion |
Conclus ion |
|
Cosmosil C17 (250 ×4.6mm, 5.0μ) |
Methanol+ 0.05% TEA (OPA pH3.0) Water (80+20% v/v) pH 6.6 at 235nm 0.7 ml/min |
20μl |
Sharp and well resolved Peaks were obtained |
Hence selected |
Figure 2: Chromatogram Trial 1 ESCI
Figure 3: Chomatogram Trial 2 ESCI
Figure 4: Chromatogram Trial 3 ESCI
Figure 5: Chromatogram Standard ESCI
VALIDATION PARAMETER8-10:
Linearity:
Table 3: Regression equation data for ESCI
|
Conc µg/ml |
Peak area (µV.sec) |
Average peak area (µV.sec) |
SD |
% RSD |
|
|
10 |
2079.947 |
2058.125 |
2069.036 |
15.43 |
0.75 |
|
20 |
4259.418 |
4238.584 |
4249.001 |
14.73 |
0.35 |
|
30 |
6138.83 |
6172.834 |
6155.832 |
24.04 |
0.39 |
|
40 |
8322.29 |
8344.15 |
8333.22 |
15.46 |
0.19 |
|
60 |
12618.55 |
12442.61 |
12530.58 |
124.41 |
0.99 |
|
Equation |
y = 208.58 x + 7.1372 |
||||
|
R2 |
= 0.999 |
||||
Accuracy:
Table 4: Result of Recovery data for ESCI
|
Level (%) |
Amt. taken |
Amt. Added |
Amt.found (Mean±SD) |
Amt. recovered (Mean±SD) |
%Recovery (Mean±SD) |
|
80% |
20 |
16 |
36.42±0.10 |
16.42±0.10 |
102.64±0.62 |
|
100% |
20 |
20 |
40.41±0.37 |
20.58±0.37 |
102.04±1.85 |
|
120% |
20 |
24 |
44.59±0.15 |
24.59±0.15 |
101.58±0.62 |
Repeatability:
Table 5: Repeatability studies on ESCI
|
Concentration of Escitalopram (µg/ml) |
Peak area |
Amount found (mg) |
%Amount found |
|
30 |
1093.25 |
29.69 |
98.97 |
|
30 |
1090.39 |
||
|
Mean |
1091.82 |
||
|
SD |
2.02 |
||
|
%RSD |
0.19 |
||
Precision:
Table 6: Intraday and Interday Precision ESCI
|
Conc. (µg/ml) |
Intraday Precision |
Interday Precision |
||
|
Area (mean±SD) |
%RSD |
Area (mean±SD) |
%RSD |
|
|
20 |
844.69±5.95 |
0.70 |
835.69±6.77 |
0.81 |
|
30 |
1084.±5.58 |
0.51 |
1083±4.0 |
0.37 |
|
40 |
1373±8.78 |
0.64 |
1379.69±0.7 |
0.06 |
Robustness:
Table 7: Result of Robustness Study of ESCI
|
Parameters |
Conc. (µg/ ml) |
Area (mean±SD) |
%RSD |
|
MP composition(89ml+11ml) Methanol + 0.05%(TEA)water with OPA |
40 |
1238.5±19.91 |
1.61 |
|
MP composition(91ml+09ml) Methanol + 0.1% (OPA)water withTEA |
40 |
1422.99±2.03 |
0.14 |
|
Wavelength change 234 nm |
40 |
1342.7±2.78 |
0.21 |
|
Wavelength Change 236 nm |
40 |
1411.41±1.63 |
0.12 |
|
Flow rate change (0.6 ml) |
40 |
1395.76±13.51 |
0.97 |
|
Flow rate change (0.8 ml) |
40 |
1340.25±5.20 |
0.39 |
LOD:
LOD = 3.3 (SD)/S
= 3.3 X 3.49 /27.67
= 0.416
LOQ:
LOQ = 10 (SD)/ S
= 10 X 3.49 / 27.67
= 1.261
Analysis of tablet Formulation:
Weigh 20 Escitalopram tablets and calculated the average weigh 4.076mg accurately weigh and transfer the sample equivalent to 50.95mg Escitalopram into 10 ml volumetric flask. Add about 10ml of diluent and sonicate to dissolve it completely and make volume up to the mark with diluents. Mix well and filter through 0.45 µm filter. Further pipette 0.2ml of the above stock solution into a 10 ml volumetric flask and dilute up to the mark with diluents. (20µg/ml). the amounts of Escitalopram per tablet were calculated by extrapolating the value of area from the calibration curve. Analysis procedure was repeated five times with tablet formulation. Tablet Assay for % Lable claim for %RSD Calculated.
Table 8: Tablet for Marketed Formulation ESCI
|
Sr. no |
Amount (mg) |
Area(I) |
Amount found in mg |
% Label claim |
|
1 |
20 |
818.6 |
19.81 |
99.05 |
|
2 |
20 |
824.39 |
21.02 |
100.10 |
|
Mean |
821.50 4.09 0.50 |
19.91 |
99.58 |
|
|
SD |
0.15 |
0.27 |
||
|
%RSD |
0.75 |
0.27 |
||
Tablet Assay for % Label Claim:
Table 9: Tablet for Assay % label claim ESCI
|
Sample |
Label claimed |
%Label claimed. ± SD |
%RSD |
|
Escitalopram |
Cilentra 10 mg |
99.58±0.27 |
0.27 |
METHOD OPTIMIZATION BY CCD:
Table 10: Independent variables recommended by the DoE and the associates responses.
|
Std |
Run |
Factor 1: Flow Rate (mL/min) |
Factor 2: Concentration (%) |
Factor 3: Detection (nm) |
Response 1 (R1) mL/min |
Response 2 (R2) % |
Response 3 (R3) nm |
|
13 |
1 |
1.0 |
80 |
226.591 |
3.5 |
88.2 |
245 |
|
3 |
2 |
0.5 |
85 |
230 |
2.8 |
84.3 |
240 |
|
11 |
3 |
1.5 |
85 |
230 |
4.0 |
90.1 |
247 |
|
15 |
4 |
1.0 |
80 |
233 |
3.7 |
86.5 |
243 |
|
12 |
5 |
0.5 |
75 |
225 |
2.5 |
80.2 |
238 |
|
4 |
6 |
1.5 |
75 |
225 |
3.9 |
85.4 |
244 |
|
10 |
7 |
0.5 |
75 |
235 |
2.6 |
81.3 |
239 |
|
1 |
8 |
1.5 |
75 |
235 |
4.1 |
86.7 |
248 |
|
7 |
9 |
0.5 |
85 |
235 |
3.0 |
85.6 |
241 |
|
14 |
10 |
1.5 |
85 |
235 |
4.2 |
91.5 |
250 |
|
5 |
11 |
1.0 |
90 |
230 |
3.8 |
89.1 |
246 |
|
8 |
12 |
1.0 |
70 |
230 |
2.9 |
82.0 |
239 |
|
9 |
13 |
1.0 |
80 |
230 |
3.6 |
87.3 |
244 |
|
6 |
14 |
1.0 |
80 |
230 |
3.6 |
87.5 |
244 |
|
2 |
15 |
1.5 |
85 |
230 |
4.0 |
90.2 |
247 |
|
17 |
16 |
0.7 |
80 |
235 |
3.2 |
85.0 |
247 |
|
16 |
17 |
1.3 |
80 |
235 |
3.9 |
89.0 |
241 |
The quadratic equation and ANOVA analysis revealed the independent factors
The table includes: Factors (Independent Variables): A: Flow Rate (mL/min) – How fast the mobile phase flows, B: Concentration (%) – Likely the mobile phase or solvent concentration, C: Detection Wavelength (nm) UV detection wavelength. Responses (Dependent Variables):R1: Retention Time (mL/min) – Time the drug takes to elute, R2: % Assay Indicates the accuracy of the method (% label claim), R3: Wavelength (nm) Peak wavelength detected.
Figure 6: 3D Surface response graphic illustrating how independent factors have an impact on the flow rate
Figure 7: 3D Surface response graphic illustrating how independent factors have an impact on the Concentration
Figure 8: 3D Surface response graphic illustrating how independent factors have an impact on the Detection Wavelength
Purpose of CCD in This Case: CCD is used here to study the effect of flow rate, concentration, and detection wavelength on method performance. Identify the optimal combination of factors to ensure: Accurate retention time, High assay percentage (close to 100%), Consistent wavelength detection. CCD method optimization helps refine the analytical method for Escitalopram by providing a systematic way to understand and adjust the parameters for best performance with minimal experimental runs. This leads to a robust and validated method.
CONCLUSION:
Attempts were made to develop a reverse-phase HPLC method for the estimation of Escitopram from tablets. For the RP-HPLC method, Younglin (S.K) Gradient System UV Detector and C18 column with 235nm x4.6 mm i.d and 5μm particle size, methanol: 0.05% TEA with OPA (80:20 %v/v) pH 3.0 was used as the mobile phase for the method. The detection wavelength was 235 nm, and the flow rate was 0.7ml/min. In the developed method, the retention time of Escitopram was found to be 5.5min. The developed method was validated according to the ICH guidelines. The linearity concentration 10to60µg/ml and %RSD found to be less than 2%, Accuracy level used 80%, 100% and 120%, precision concentration used to 20, 30 and 40µg/ml and %RSD found to be less than 2%, range 30µg/ml and %amount found to be 98.97%, and robustness concentration 40µg/ml was within the limits as specified by the ICH guidelines. Hence, the method was found to be simple, accurate, precise, economic, and reproducible.
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Received on 11.02.2026 Revised on 16.03.2026 Accepted on 06.04.2026 Published on 16.04.2026 Available online from April 18, 2026 Asian Journal of Pharmaceutical Analysis. 2026; 16(2):114-118. DOI: 10.52711/2231-5675.2026.00017 ©Asian Pharma Press All Right Reserved
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