scholarly journals Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow**

2021 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Julia Kruisz ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Time Process ◽  
Process Analytics ◽  
Multistep Synthesis

scholarly journals Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow**

2021 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Julia Kruisz ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Time Process ◽  
Process Analytics ◽  
Multistep Synthesis

scholarly journals Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow

2021 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Julia Kruisz ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Time Process ◽  
Process Analytics ◽  
Multistep Synthesis

scholarly journals Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow

2021 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Julia Kruisz ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Time Process ◽  
Process Analytics ◽  
Multistep Synthesis

Intensified Continuous Flow Synthesis and Workup of 1,5-Disubstituted Tetrazoles Enhanced by Real-Time Process Analytics

2021 ◽  
Author(s):  
Peter Sagmeister ◽  
Dainis Kaldre ◽  
Joerg Sedelmeier ◽  
Christian Moessner ◽  
Kurt Püntener ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Time Process ◽  
Flow Synthesis ◽  
Process Analytics

Synthesis of Tailored Segmented Polyurethanes Utilizing Continuous-Flow Reactors and Real-Time Process Monitoring

2021 ◽  
Author(s):  
Xabier Lopez de Pariza ◽  
Tim Erdmann ◽  
Pedro L. Arrechea ◽  
Leron Perez ◽  
Charles Dausse ◽  
...  
Keyword(s):  
Real Time ◽  
Process Monitoring ◽  
Continuous Flow ◽  
Time Process ◽  
Flow Reactors ◽  
Segmented Polyurethanes ◽  
Continuous Flow Reactors

scholarly journals Advanced Real-Time Process Analytics for Multistep Synthesis in Continuous Flow

2020 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Martin Horn ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Process Analytical Technology ◽  
Flow Chemistry ◽  
Active Pharmaceutical Ingredient ◽  
Least Squares Regression ◽  
Multistep Synthesis ◽  
Significant Step ◽  
And Control ◽  
Analysis Models

In multistep continuous flow chemistry, studying complex reaction mixtures in real time is a significant challenge, but provides an opportunity to enhance reaction understanding and control. We report the integration of four orthogonal Process Analytical Technology tools (NMR, UV/vis, IR and UHPLC) in the multistep synthesis of an Active Pharmaceutical Ingredient, mesalazine. This synthetic route makes optimal use of flow processing for nitration, high temperature hydrolysis and hydrogenation steps, as well as three inline separations. Advanced data analysis models were developed (indirect hard modelling, deep learning and partial least squares regression), to quantify the desired products, intermediates and impurities in real time, at multiple points along the synthetic pathway. The capabilities of the system have been demonstrated by operating both steady state and dynamic experiments and represents a significant step forward in data-driven continuous flow synthesis.

scholarly journals Advanced Real-Time Process Analytics for Multistep Synthesis in Continuous Flow

2020 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Martin Horn ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Process Analytical Technology ◽  
Flow Chemistry ◽  
Active Pharmaceutical Ingredient ◽  
Least Squares Regression ◽  
Multistep Synthesis ◽  
Significant Step ◽  
And Control ◽  
Analysis Models

In multistep continuous flow chemistry, studying complex reaction mixtures in real time is a significant challenge, but provides an opportunity to enhance reaction understanding and control. We report the integration of four orthogonal Process Analytical Technology tools (NMR, UV/vis, IR and UHPLC) in the multistep synthesis of an Active Pharmaceutical Ingredient, mesalazine. This synthetic route makes optimal use of flow processing for nitration, high temperature hydrolysis and hydrogenation steps, as well as three inline separations. Advanced data analysis models were developed (indirect hard modelling, deep learning and partial least squares regression), to quantify the desired products, intermediates and impurities in real time, at multiple points along the synthetic pathway. The capabilities of the system have been demonstrated by operating both steady state and dynamic experiments and represents a significant step forward in data-driven continuous flow synthesis.

scholarly journals Advanced Real-Time Process Analytics for Multistep Synthesis in Continuous Flow

2020 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Martin Horn ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Process Analytical Technology ◽  
Flow Chemistry ◽  
Active Pharmaceutical Ingredient ◽  
Least Squares Regression ◽  
Multistep Synthesis ◽  
Significant Step ◽  
And Control ◽  
Analysis Models

In multistep continuous flow chemistry, studying complex reaction mixtures in real time is a significant challenge, but provides an opportunity to enhance reaction understanding and control. We report the integration of four orthogonal Process Analytical Technology tools (NMR, UV/vis, IR and UHPLC) in the multistep synthesis of an Active Pharmaceutical Ingredient, mesalazine. This synthetic route makes optimal use of flow processing for nitration, high temperature hydrolysis and hydrogenation steps, as well as three inline separations. Advanced data analysis models were developed (indirect hard modelling, deep learning and partial least squares regression), to quantify the desired products, intermediates and impurities in real time, at multiple points along the synthetic pathway. The capabilities of the system have been demonstrated by operating both steady state and dynamic experiments and represents a significant step forward in data-driven continuous flow synthesis.

Sign in / Sign up

Export Citation Format

Share Document