A focus on computer vision for non-contact monitoring of catalyst degradation and product formation kinetics.

Published in: Chemical science (2023)

Chemists know the value of looking at a reaction for clues about reaction progress and success, but what-it-looks-like has never been quantified. Reid and co-workers (C. Yan, M. Cowie, C. Howcutt, K. M. P. Wheelhouse, N. S. Hodnett, M. Kollie, M. Gildea, M. H. Goodfellow and M. Reid, Chem. Sci. , 2023, 14 , 5323-5331, https://doi.org/10.1039/d2sc05702f) have developed an approach that uses camera footage of reactions to obtain quantitative descriptors of changes in reaction mixtures to support kinetic analysis.

Keyphrases

ionic liquid
spinal cord injury
electron transfer
high resolution
high speed
convolutional neural network
metal organic framework
low cost