News Picture Generic

Development of an Automated Kinetic Profiling System with Online HPLC for Reaction Optimization

May 6, 2019

The Royal Society of Chemistry Journal

Automated kinetic profiling is a valuable tool for providing insights into key mechanistic features of complex catalytic systems. In an attempt to optimize a palladium-catalyzed Suzuki cross-coupling reaction, automated kinetic profiling was utilized with offline liquid chromatography to monitor reaction progress. Upon uncovering analytical sample instability issues, an online HPLC capability was developed and implemented through integration of a Chemspeed liquid handling robot with an Agilent HPLC to facilitate automated reaction set-up and monitoring. Application of this capability resulted in the observation that precatalyst activation was a key factor influencing the reaction rate. Leveraging this mechanistic insight, a more efficient method to access the active catalyst was developed. This change resulted in a five-fold increase in the reaction rate.

For details

Development of an Automated Kinetic Profiling System with Online HPLC for Reaction Optimization

Melodie Christensen a,c, Folarin Adedeji a, Shane Grosser a, Kerstin Zawatzky b, Yining Ji a, Jinchu Liu b, Jon A. Jurica a, John R. Naber a, and Jason E. Hein c

a Process Research and Development, Merck & Co., Inc., Rahway, NJ, USA.

b Analytical Research and Development, Merck & Co., Inc., Rahway, NJ, USA

c Department of Chemistry, The University of British Columbia, Vancouver, BC, CA

For more information about Chemspeed solutions:

SWING RP

The Royal Society of Chemistry Journal, DOI: 10.1039/x0xx00000x

For details please contact [email protected]

Other Recent News

Discover more news articles you might be interested in

Read more about Asymmetric hydrogenation of olefins with transition metal-based catalysts: practical insights from screening to production of APIs
News Picture 1 1 V2
Featured
Jan
20

Asymmetric hydrogenation of olefins with transition metal-based catalysts: practical insights from screening to production of APIs

Selective hydrogenation plays a critical role in modern synthetic chemistry, particularly in the pharmaceutical industry, where the production of chiral molecules with high enantiomeric purity is essential for the efficacy and safety of active pharmaceutical ingredients (APIs). 

Read more about Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
News Picture 1 1 V2
Featured
Jan
6

Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography

The integration of automated synthesis and machine learning (ML) is transforming analytical chemistry by enabling data-driven approaches to method development. Chromatographic column selection, a critical yet time-consuming step in separation science, stands to benefit substantially from such advances.

© Chemspeed Technologies 2026