Addressing method transfer and robustness challenges using design space modeling

In high-performance liquid chromatography (HPLC), robust and easily transferable analytical methods are essential to ensure consistent performance throughout the entire lifecycle of an analytical procedure, including unforeseen future applications. Nevertheless, robustness-, and ruggedness-related issues are frequently reported in industrial practice, particularly during method transfer between laboratories. These challenges often arise from incomplete method understanding and insufficient consideration of HPLC system-related effects, such as dwell volume, extra-column contributions and other, at first less evident, instrument-to-instrument variations in solvent delivery, mixing behavior and column thermal control. In this context, modeling approaches aligned with Analytical Quality by Design (AQbD) principles provide valuable support for both proactive method development and reactive troubleshooting. In the current work, we used DryLab modeling Design Spaces (DSs) to create digitized modeling fingerprints of various instruments, enabling extensive in silico investigations, including in-depth assessment of method transferability and evaluation of subtle, instrument-dependent robustness characteristics.