HPLC Assist Pro

Could you build this?

No Predicting chromatographic retention times and optimizing HPLC separation methods requires rigorous analytical chemistry modeling, QSRR (Quantitative Structure-Retention Relationship) algorithms, and validated physicochemical column databases that cannot be created without specialized domain expertise.

What it would actually take: Building a functional HPLC simulator requires integrating cheminformatics toolkits (RDKit) with predictive QSRR machine learning models trained on empirical chromatographic datasets, combined with fundamental retention models (e.g., Snyder-Dolan retention equations for solvent gradients and pH ionization shifts). The primary hurdle is the proprietary/empirical calibration data and domain expertise in physical chemistry needed to accurately predict peak resolution and band broadening. It requires analytical chemists and specialized scientific software engineers.