Self‐Optimizing Reactor Systems: Algorithms, On‐line Analytics, Setups, and Strategies for Accelerating Continuous Flow Process Optimization

Abstract

This review provides an overview of recent developments in the area of continuous flow process optimization by employing self‐optimizing reactor systems. Although only few reactor concepts have been realized to date, impressive progress has been made, which now allows fully automated reaction optimization without the need of human interactions.

A tutored discourse on microcontrollers, single board computers and their applications to monitor and control chemical reactions

“…Introduction to self-optimisation A variety of different methods and algorithms exist for selfoptimisation, 30,31 usually originating from the disciplines of mathematics and computer science. The basic procedures followed by these algorithms are broadly similar: a series of conditions are trialled systematically, and the response of the system after each trial is used to select new trial conditions.…”

The Generation of Diazo Compounds in Continuous‐Flow

“…Microreactort echnology also adds to chemical space that can be accessed. For example, reactive molecules that are inherently unstablec an be accessed with high precision as the continuous-flow technology allows spatial and temporalc ontrol during their generation.M onitoring technologies [12,19] allow the construction of aw ell-definedp ictureo ft he reaction mixture in the microreactor and allow simple and fast adaptation [13] ande ven self-optimizing systems [14] to find optimal reaction conditions. [15] Thus, new chemical space can be addressedt hat is currently inaccessible using conventional batch chemistry.…”

Enabling Technologies for the Future of Chemical Synthesis

“…Other such interesting examples of automated optimization have been described in recent reviews and publications. 47 − 50 …”