Exploring the chemical space of phenyl sulfide oxidation by automated optimization
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Abstract
Automated platforms allow for rapid, detailed screening of chemical systems. 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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Acknowledgements: PM thanks Defence Science and Technology Laboratory and University of Leeds for funding. ADC thanks UCB, AstraZeneca and University of Leeds for funding. SVL thanks the ACS Arthur Cope Award for funding. RAB was supported by the Royal Academy of Engineering under the Research Chairs and Senior Research Fellowships scheme.
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University of Leeds (Unassigned)
UCB UK (Unassigned)
AstraZeneca (Unassigned)
Royal Academy of Engineering (Unassigned)