3970-35-2Relevant articles and documents
Advanced Real-Time Process Analytics for Multistep Synthesis in Continuous Flow**
Sagmeister, Peter,Lebl, René,Castillo, Ismael,Rehrl, Jakob,Kruisz, Julia,Sipek, Martin,Horn, Martin,Sacher, Stephan,Cantillo, David,Williams, Jason D.,Kappe, C. Oliver
supporting information, p. 8139 - 8148 (2021/03/01)
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 complementary process analytical technology tools (NMR, UV/Vis, IR and UHPLC) in the multistep synthesis of an active pharmaceutical ingredient, mesalazine. This synthetic route exploits flow processing for nitration, high temperature hydrolysis and hydrogenation reactions, as well as three inline separations. Advanced data analysis models were developed (indirect hard modeling, 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.
Preparation and NMR analysis of 2,6-heterodifunctional halobenzenes as precursors for substituted biphenyls
Sienkowska, Monika,Benin, Vladimir,Kaszynski, Piotr
, p. 165 - 173 (2007/10/03)
Preparation and complete characterization of 16 2,6-disubstituted halobenzenes, including nine new compounds, from two common starting materials is described. Seven of the new compounds contain one or two propylthio groups, which have been introduced in two ways. Direct reaction of arenediazonium salts with 1-propanethiolate gives yields comparable to those obtained in a three-step method through sulfonyl chlorides. The 1H- and 13C NMR chemical shifts of 17 1,2,3-trisubstituted benzenes have been correlated with the predicted values and the observed trends explained using commonly available modeling packages.