Developing a robust analytical method requires a systematic and science-driven approach.
The traditional manual approach relies heavily on the analyst's experience and knowledge. Chromatographic parameters are adjusted sequentially and evaluated experimentally.
In this approach, computational models simulate chromatographic behavior based on experimental data, reducing the number of experimental runs needed.
Learn MoreThe automated approach covers the complete analytical method development workflow using AI-based models in accordance with AQbD principles.
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