Literature DB >> 33870978

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

Brendan L Hall1, Connor J Taylor1, Ricardo Labes1, Alexander F Massey1, Robert Menzel1, Richard A Bourne1, Thomas W Chamberlain1.   

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.

Entities:  

Year:  2021        PMID: 33870978     DOI: 10.1039/d1cc00859e

Source DB:  PubMed          Journal:  Chem Commun (Camb)        ISSN: 1359-7345            Impact factor:   6.222


  1 in total

1.  Autonomous Multi-Step and Multi-Objective Optimization Facilitated by Real-Time Process Analytics.

Authors:  Peter Sagmeister; Florian F Ort; Clemens E Jusner; Dominique Hebrault; Thomas Tampone; Frederic G Buono; Jason D Williams; C Oliver Kappe
Journal:  Adv Sci (Weinh)       Date:  2022-02-01       Impact factor: 16.806

  1 in total

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