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Is a DoE-based approach superior to OFAT for HPLC robustness assessment under ICH Q14? A practical case study
Alba Aragón-Navas1, Dennis Walter1, Melanie Schmidt2
1Late Oral Development, Drug Product Development NCE Boehringer Ingelheim Pharma GmbH & Co. KG, Germany.
Summary
Design of Experiments (DoE) offers significant advantages over one-factor-at-a-time (OFAT) for assessing analytical method robustness in pharmaceutical research. DoE provides deeper insights, identifies interactions, and defines a robust design space more efficiently than OFAT.
Area of Science:
- Analytical Chemistry
- Pharmaceutical Development
- Method Validation
Background:
- Method robustness is crucial for reliable analytical results in pharmaceutical research.
- Traditional one-factor-at-a-time (OFAT) methods have limitations in assessing robustness.
- A systematic comparison between Design of Experiments (DoE) and OFAT for robustness evaluation is needed.
Purpose of the Study:
- To compare the effectiveness of DoE versus OFAT for assessing the robustness of a liquid chromatography method.
- To identify key factors and interactions influencing method robustness.
- To evaluate the efficiency and regulatory implications of each approach.
Main Methods:
- A liquid chromatography method's robustness was evaluated using both DoE and OFAT strategies.
- Key parameters including flow rate, temperature, and mobile phase composition were systematically varied.
- Responses were analyzed to identify significant factors, interactions, and define a design space.
Main Results:
- DoE identified organic solvent content and pH as primary factors affecting method performance and revealed critical factor-factor interactions.
- OFAT provided limited insights, required more resources, and failed to detect interactions.
- OFAT indicated robustness except at higher pH, while DoE identified additional non-robust conditions due to interactions.
Conclusions:
- DoE is superior to OFAT for robustness assessment, offering enhanced analytical understanding and efficiency.
- DoE enables the definition of a flexible, robust design space, improving regulatory compliance.
- Integrating DoE into routine robustness testing strengthens method reliability and adherence to pharmaceutical guidelines.
