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Autonomous optimisation of a nanoparticle catalysed reduction reaction in continuous flow.
Hall, Brendan L; Taylor, Connor J; Labes, Ricardo; Massey, Alexander F; Menzel, Robert; Bourne, Richard A; Chamberlain, Thomas W.
Afiliação
  • Hall BL; Institute for Process Research and Development, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UK. T.W.Chamberlain@Leeds.ac.uk.
  • Taylor CJ; Institute for Process Research and Development, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UK. T.W.Chamberlain@Leeds.ac.uk.
  • Labes R; Institute for Process Research and Development, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UK. T.W.Chamberlain@Leeds.ac.uk.
  • Massey AF; Institute for Process Research and Development, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UK. T.W.Chamberlain@Leeds.ac.uk.
  • Menzel R; Institute for Process Research and Development, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UK. T.W.Chamberlain@Leeds.ac.uk.
  • Bourne RA; Institute for Process Research and Development, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UK. T.W.Chamberlain@Leeds.ac.uk.
  • Chamberlain TW; Institute for Process Research and Development, School of Chemistry, University of Leeds, Leeds, LS2 9JT, UK. T.W.Chamberlain@Leeds.ac.uk.
Chem Commun (Camb) ; 57(40): 4926-4929, 2021 May 18.
Article em En | MEDLINE | ID: mdl-33870978
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article