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Autonomous optimisation of a nanoparticle catalysed reduction reaction in continuous flow. | LitMetric

AI Article Synopsis

  • An automated continuous flow reactor with inline analysis was created to optimize nanoparticle-catalyzed reactions.
  • It focused on improving conditions for a gold nanoparticle-catalyzed reduction of 4-nitrophenol, achieving maximum conversion in less than 2.5 hours.
  • The collected data led to a kinetic model for predicting reaction outcomes under varying conditions, potentially speeding up the development of new catalysts.

Article Abstract

An automated continuous flow reactor system equipped with inline analysis, was developed and applied in the self-optimisation of a nanoparticle catalysed reaction. The system was used to optimise the experimental conditions of a gold nanoparticle catalysed 4-nitrophenol reduction reaction, towards maximum conversion in under 2.5 hours. The data obtained from this optimisation was then used to generate a kinetic model, allowing us to predict the outcome of the reaction under different conditions. By combining continuous flow nanoparticle synthesis with this approach, the development timeline for these emerging catalysts could be significantly accelerated.

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Source
http://dx.doi.org/10.1039/d1cc00859eDOI Listing

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