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Rapid method development for chiral separation in drug discovery using multi-column parallel screening and circular
Yingru Zhang1, William Watts, Lisa Nogle
1Discovery Analytical Chemistry, Chemical Technology, Chemical and Screening Sciences, Wyeth Research, Collegeville, PA 19426, USA. yingru.zhang@bms.com
Journal of Chromatography. A
|October 27, 2004
Summary
A new multi-column screening method accelerates chiral method development by analyzing five chiral stationary phases simultaneously. This approach enhances speed and simplifies enantiomer identification using pooled circular dichroism signals.
Area of Science:
- Analytical Chemistry
- Chromatography
- Spectroscopy
Background:
- Chiral method development is crucial for separating enantiomers.
- Existing methods for screening chiral stationary phases can be time-consuming.
- Automated sequential screening and coupled column approaches have limitations.
Purpose of the Study:
- To develop a novel strategy for rapid chiral method development.
- To introduce a multi-column parallel screening system for simultaneous analysis of chiral stationary phases.
- To utilize circular dichroism (CD) signal pooling for enantiomer identification.
Main Methods:
- A customized high-performance liquid chromatography (HPLC) system with five parallel channels was developed.
- The system integrated an auto-sampler, one pump, five columns (Chiralpak AD/AS, Chiralcel OJ/OD, Whelk-O1), and five UV detectors.
- Pooled CD signals from five recombined channels were used to track enantiomeric elution order and sign.
Main Results:
- The multi-column system achieved a five-fold increase in speed for chiral column scouting.
- The method effectively screened five different chiral stationary phases in parallel.
- Pooled CD signal analysis successfully tracked enantiomer elution order and determined enantiomeric sign.
Conclusions:
- The developed strategy significantly accelerates chiral method development.
- Parallel screening with CD signal pooling offers an efficient alternative to existing methods.
- This approach overcomes limitations of sequential and coupled column screening methods.