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Related Experiment Video

Updated: Nov 21, 2025

Real-time Monitoring of Reactions Performed Using Continuous-flow Processing: The Preparation of 3-Acetylcoumarin as an Example

Real-time Monitoring of Reactions Performed Using Continuous-flow Processing: The Preparation of 3-Acetylcoumarin as an Example

Published on: November 18, 2015

Advanced Real-Time Process Analytics for Multistep Synthesis in Continuous Flow*.

Peter Sagmeister^1,2, René Lebl^1,2, Ismael Castillo³

¹Center for Continuous Flow Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering GmbH (RCPE), Inffeldgasse 13, 8010, Graz, Austria.

Angewandte Chemie (International Ed. in English)

|January 12, 2021

Summary

This summary is machine-generated.

This study integrates four analytical tools for real-time monitoring of continuous flow synthesis. Advanced data models quantify products and impurities, enhancing control in pharmaceutical manufacturing.

Keywords:

flow chemistry multistep synthesis process analytical technologies process control real-time analysis

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Last Updated: Nov 21, 2025

Real-time Monitoring of Reactions Performed Using Continuous-flow Processing: The Preparation of 3-Acetylcoumarin as an Example

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Published on: November 18, 2015

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A Scalable Balz-Schiemann Reaction Protocol in a Continuous Flow Reactor

A Scalable Balz-Schiemann Reaction Protocol in a Continuous Flow Reactor

Published on: February 10, 2023

Area of Science:

Chemical Engineering
Analytical Chemistry
Process Chemistry

Background:

Real-time analysis of complex mixtures in multistep continuous flow chemistry is challenging.
Understanding and controlling reactions in flow processes can be significantly improved with advanced monitoring.

Purpose of the Study:

To integrate multiple Process Analytical Technology (PAT) tools for real-time monitoring.
To develop advanced data analysis models for quantifying components in a continuous flow synthesis.
To demonstrate enhanced reaction understanding and control in pharmaceutical manufacturing.

Main Methods:

Integration of Nuclear Magnetic Resonance (NMR), UV/Vis, Infrared (IR), and Ultra-High-Performance Liquid Chromatography (UHPLC) tools.
Multistep continuous flow synthesis of mesalazine, including nitration, hydrolysis, and hydrogenation.
Development of data analysis models: indirect hard modeling, deep learning, and partial least squares regression.

Main Results:

Successful real-time quantification of products, intermediates, and impurities at multiple points.
Demonstration of system capabilities through steady-state and dynamic experiments.
Enabled enhanced understanding and control of the continuous flow synthetic process.

Conclusions:

The integrated PAT system provides real-time insights into complex flow chemistry.
Advanced data analysis enables precise quantification and process control.
This approach represents a significant advancement in data-driven continuous flow synthesis for pharmaceuticals.