Flow chemistry

Data-driven methodology plays an important role in the rapid identification of appropriate chemical conditions, however, optimization of multiple variables in the flow reaction remains challenging. Here, the authors report a Bayesian optimization-assisted multi-parameter screening to predict the suitable conditions to achieve the efficient synthesis of biaryl compounds in a flow system.

Heterogeneous photocatalysts are easily separable and recyclable, but homogeneous ones are precisely tunable. Here, the authors merge the benefits of these two catalyst types by incorporating diverse dyes into solution-processable, porous polymers.

Synthesis of aryl phosphorus compounds with electron-withdrawing substituents on the arene is difficult to do simply. Here the authors show a method to form aryl carbon-phosphorus bonds through electrochemistry, without requiring any catalyst or external oxidant.

PMOs (phosphorodiamidate morpholino oligomers) have huge potential for antisense therapy but complex and slow synthesis limits application. Here, the authors report the development of automated flow synthesis methods which reduce nucleobase coupling times from hours to minutes removing human errors and allow for high-throughput production.