Automated chiral method screening - Evaluation of generated chromatographic data sets to further optimize screening...

Area of Science:

• Analytical Chemistry
• Chromatography

Background:

• Chiral separations are crucial in pharmaceutical and chemical industries.
• Traditional chiral method development is often time-consuming and labor-intensive.

Purpose of the Study:

• To develop and validate an automated screening process for chiral separations using supercritical fluid chromatography (SFC).
• To assess the efficiency and reliability of automated method screening for a large number of racemates.

Main Methods:

• Implementation of an automated workflow integrating method screening, data analysis, and report generation.
• Testing of 10 distinct chiral SFC methods (five columns, two co-solvents) on a diverse set of 756 racemates and 2667 proprietary samples.
• Utilizing proprietary software for automated screening and parallel evaluation of enantiomer separation.

Main Results:

• Successful enantiomer separation was achieved for up to 92% of tested racemic mixtures using the automated screening process.
• The automated process demonstrated high efficiency and reliability with minimal human intervention.
• Optimization of screening sequences and column selection further improved process efficiency.

Conclusions:

• Automated chiral SFC method screening significantly accelerates the identification of enantioseparation conditions.
• Consistent chromatographic datasets and statistical analysis are valuable for optimizing chiral separation development.
• The developed automated process offers a robust and efficient solution for routine chiral separation challenges.