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Developing chiral active pharmaceutical ingredients (APIs) requires optimizing multiple quality attributes simultaneously. A new multidimensional liquid chromatography tool enables parallel measurement of these attributes from a single injection, accelerating drug discovery.

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Area of Science:

  • Analytical Chemistry
  • Pharmaceutical Sciences
  • Organic Chemistry

Background:

  • Chiral active pharmaceutical ingredients (APIs) offer enhanced specificity for chiral biological targets compared to achiral compounds.
  • Stereoselective synthesis of chiral APIs demands parallel optimization of critical quality attributes, including chemical and stereochemical purity, from early drug development stages.

Purpose of the Study:

  • To introduce a novel multidimensional liquid chromatographic tool designed for simultaneous measurement of multiple quality attributes.
  • To facilitate the parallel optimization of asymmetric synthesis for chiral APIs.
  • To expedite the identification of on-analysis artifacts, thereby accelerating drug development.

Main Methods:

  • Development of a multidimensional liquid chromatography system utilizing a unique heart-cut valve.
  • Recirculation of chromatographic eluent through one or more stationary phases for iterative analyte measurement.
  • Simultaneous assessment of multiple quality attributes from a single analytical injection.

Main Results:

  • The chromatographic tool enables iterative measurement of a target analyte from a single injection.
  • This approach aids in distinguishing between impurities formed during reaction and those arising during analysis.
  • The system is particularly effective in identifying on-analysis artifacts, a common bottleneck in drug development.

Conclusions:

  • The reported multidimensional liquid chromatography tool significantly enhances the efficiency of chiral API development.
  • Simultaneous measurement of critical quality attributes streamlines the optimization of asymmetric synthesis.
  • Accelerated identification of analytical artifacts reduces resource expenditure and speeds up the drug development timeline.