An Adaptive Auto‐Synthesizer using Online PAT Feedback to Flexibly Perform a Multistep Reaction. Issue 8 (1st April 2022)

• Record Type: Journal Article
• Authors: Liu, Junliang; Sato, Yusuke; Yang, Fan; Kukor, Andrew J.; Hein, Jason E.
• Is Part Of: Chemistry methods. Volume 2:Issue 8(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-04-01
• Subjects: auto-synthesizer -- CDI amidation -- feedback control -- online HPLC -- process analytical technologies; Chemistry, Analytic -- Periodicals; 543
• DOI: 10.1002/cmtd.202200009
• Languages: English
• ISSNs: 2628-9725

Abstract

Abstract: Automated chemical synthesizers have become more common in recent years but struggle to apply rigid procedures to broad substrate scopes. We have developed an adaptive auto‐synthesizer that uses online HPLC and FTIR measurements to adapt to the changing reactivities of different substrates, allowing precise control of reaction conditions. To do so, we designed a flexibly‐timed procedure consisting of specific actions performed by our platform when specific reaction‐monitoring checkpoints are met. Online HPLC allowed our system to autonomously separate, label and quantify most reaction components, with orthogonal FTIR enabling non‐UV active species to be additionally tracked. We tested our platform with CDI‐mediated multistep amidation reactions using a variety of different acid and amine substrates. To demonstrate the high reproducibility and control afforded by our system, we determined the relative rates of both acid activation and subsequent amidation, providing insight into substrate reactivities and the reaction mechanism. Abstract : An adaptive auto‐synthesizer that performs actions at different times based on real‐time reaction monitoring data was developed. The robotic platform's versatility and reproducibility were demonstrated by obtaining kinetic data for a multistep amidation reaction using a variety of substrates.