A better understanding of the overall method capabilities and limitations in development ensures a greater chance of successful downstream method validation, transfer and routine use. Software-driven method development affords considerable time savings for the scientist and the use of QbD can produce a significantly more robust and quality submission to regulatory authorities.
Method development can be a time-consuming process that can be repeated many times thoughout a drug development pipeline. Methods are commonly developed using a one-factor-at-a-time (OFAT) approach where one variable is changed sequentially until a suitable method is produced. This type of development may create an adequate method but provides a limited understanding of method capabilities and method robustness. Rather, a systematic screening approach that evaluates a number of stationary phases, pH ranges and organic modifiers provides a more thorough approach to method development. A Quality by Design (QbD) approach to method development uses statistical design of experiments (DoE) to develop a robust method ‘design space’. The design space defines the experimental region in which changes to method parameters will not significantly affect the results. This approach builds-in robustness to the method as the method is being developed.1
A better understanding of the overall method capabilities and limitations in development ensures a greater chance of successful downstream method validation, transfer and routine use. Software-driven method development affords considerable time savings for the scientist and the use of QbD can produce a significantly more robust and quality submission to regulatory authorities.
In this application note, a QbD approach to method development and subsequent method transfer to HPLC is presented on a forced degradation sample of ziprasidone, an anti-psychotic drug. Method development was performed using an ACQUITY UPLC H-Class system equipped with a column manager and solvent select valve to allow for automated exploration of a wide range of conditions, while obtaining efficient separations with shorter chromatographic run times. Fusion AE Method Development software was used in conjuction with Empower 2 to facilitate a more comprehensive QbD approach to method development.
Mobile phase: |
A: Acetonitrile B: Methanol D1: Water with 0.1% Formic Acid (pH 2.5) D2: Water with 0.1% Ammonium Hydroxide (pH 10.5) |
Columns (All 2.1 x 50 mm, 1.7 µm): |
1. ACQUITY UPLC CSH C18 2. ACQUITY UPLC CSH Fluoro-Phenyl 3. ACQUITY UPLC BEH Shield RP18 4. ACQUITY UPLC HSS C18 SB 5. ACQUITY UPLC HSS T3 6. ACQUITY UPLC HSS Cyano |
Needle wash: |
10:90 Water:Methanol |
Sample purge: |
90:10 Water:Methanol |
Seal wash: |
90:10 Water:Methanol |
Detection: |
UV at 254 nm |
Flow Rate: |
0.6 mL/min |
Injection Volume: |
2 μL |
Column Temp.: |
30 °C |
Gradient Time: |
5 min |
Variables: |
stationary phase, mobile phase, gradient endpoint % organic, mobile phase pH 2.5 to 10.5 |
Column: |
ACQUITY UPLC CSH C18, 1.7 μm, 2.1 x 50 mm |
Mobile Phase: A: |
Acetonitrile D1: Water with 0.1% Formic Acid (pH 2.5) |
Gradient endpoint: |
87.5% Acetonitrile |
Variables: |
gradient time, column temperature, injection volume, flow rate |
Data Management: |
Empower 2 CDS Fusion AE Method Development Software (S-Matrix) |
Ziprasidone peroxide degradation sample:
To 0.4 mg/ml ziprasidone in 50:50 water:methanol, add one equal volume of 3% hydrogen peroxide solution in water, heat at 80 °C for 30 min. Dilute to 0.1 mg/mL final concentration with water.
Method development was performed using an ACQUITY UPLC H-Class system, Empower 2 and Fusion AE Method Development software. The H-Class was equipped with a 6-position column manager and a solvent select valve to enable full method development capability in one system. The initial screening varied column chemistries having CSH, BEH and HSS base particles for maximum selectivity. Organic modifier (acetonitrile or methanol) was screened varying the gradient endpoint from 50% to 100% organic, over a mobile phase pH range from 2.5 to 10.5.
Using these parameters, an experimental design was generated within Fusion AE, including randomization and replicate injections. The design generated encompassed the entire knowledge space defined by the constants and variables entered during the experimental setup. A partial factorial statistical design was selected by the software to obtain the maximum amount of information with the least number of experimental runs. The experimental design was transmitted to Empower2 software where all methods, method sets and sample sets were automatically generated and ready to run.
After initial integration and processing, results from the screening analysis for ziprasidone were imported back into Fusion AE and processed to generate an initial method for subsequent optimization. For the ziprasidone peroxide degradation sample, a water/acetonitrile gradient at pH 2.5 with an 87.5% acetonitrile gradient endpoint on a CSH C18 column was found to be optimal. The method developed is compatible with mass spectrometric detection and was directly transferred to LC-MS to rapidly identify the ziprasidone forced-degradation products (Figure 1).
The initial method was further optimized in a second experiment where secondary effectors such as column temperature, injection volume, gradient slope (modified using gradient time) and flow rate were varied. A new experimental design was generated by Fusion AE and new methods and sample sets were automatically created within Empower 2.
After processing data in Fusion AE, the final optimized method was generated, demonstrating the method that best meets the success criteria defined by the user. In the case of the ziprasidone peroxide degradation separation (Figure 2), an improvement in the tailing of peak 2 is seen along with better resolution of baseline impurity peaks and a newly resolved impurity is observed at 2.075 min.
Multi-dimensional plots in Fusion AE facilitates visualization of the effect of each factor on the separation (Figure 3). The white region of the 2D contour plot depicts the design space, which defines the robust region of the method where results are within designated criteria. By changing the factors on each axis, the design space can be explored in detail and method robustness can be fully understood.
The UPLC method developed using Fusion AE software was transferred to HPLC to demonstrate transferability from a method development laboratory to a quality control (QC) laboratory that might not be equipped with UPLC. Method transfer was performed using the ACQUITY UPLC Columns Calculator and Method Transfer Kit, scaling for particle size.2 The method was scaled from the ACQUITY UPLC CSH C18 2.1 x 50 mm 1.7 µm particle column to the corresponding XSelect CSH C18 4.6 x 150 mm 5 µm HPLC column. A comparison of the UPLC and HPLC separation demonstrates that the peak profile and resolution is maintained when scaling to HPLC conditions from method development on UPLC.
720004072, August 2011