Exploring the chemical space of phenyl sulfide oxidation by automated optimization†
Pia
Mueller, 
*a
Adam D.
Clayton,
a
Steven V.
Ley,
c
Thomas W.
Chamberlain
a
and
Richard A.
Bourne
*a
*a
Adam D.
Clayton,
a
Steven V.
Ley,
c
Thomas W.
Chamberlain
a
and
Richard A.
Bourne
*a
Abstract
Automated platforms allow for fast and efficient optimisation of single and multi-objective chemical systems. Herein, we report the application of automated optimisation platforms for the chemical screening of sulfide oxidations in flow. The identification of different optima for each substrate highlights the requirement of rapid, individual experimental optimisation for successful compound screening.
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