A Hybridised Optimisation of an Automated Photochemical Continuous Flow Reactor

Area of Science:

• Chemical Engineering
• Photochemistry
• Process Chemistry

Background:

• Continuous flow chemistry offers advantages in reaction control and safety.
• Photochemical reactions require efficient light delivery for optimal performance.
• Process optimization is crucial for scaling up chemical reactions.

Purpose of the Study:

• To develop and apply a hybridized algorithm for automated continuous flow reactions.
• To design and characterize a novel photochemical cascade continuous stirred-tank reactor (CSTR).
• To evaluate the algorithm's success in a specific aerobic oxidation reaction.

Main Methods:

• Development of a hybridized algorithm combining process optimization and response surface mapping.
• Design and characterization of a photochemical cascade CSTR using chemical actinometry.
• Application of the algorithm and reactor to the aerobic oxidation of sp³ C-H bonds.

Main Results:

• The hybridized algorithm was successfully implemented in an automated continuous flow system.
• The developed photochemical cascade CSTR exhibited a photon flux density ten times greater than previously reported batch systems.
• The algorithm demonstrated effectiveness in optimizing the aerobic oxidation of sp³ C-H bonds.

Conclusions:

• The hybridized algorithm represents a significant advancement for automated continuous flow photochemical processes.
• The novel CSTR design provides enhanced light delivery for photochemical transformations.
• This integrated approach facilitates efficient and optimized aerobic oxidation reactions.