J
Jonathan D. Moseley
Researcher at Cardiff University
Publications - 51
Citations - 1465
Jonathan D. Moseley is an academic researcher from Cardiff University. The author has contributed to research in topics: Newman–Kwart rearrangement & Chemistry. The author has an hindex of 22, co-authored 47 publications receiving 1326 citations. Previous affiliations of Jonathan D. Moseley include AstraZeneca & Loughborough University.
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A critical assessment of the greenness and energy efficiency of microwave-assisted organic synthesis
TL;DR: In this paper, the authors evaluate the energy efficiency of microwave-assisted organic transformations in the context of scaling-up this technology to production quantities, with a focus on the 6th principle: design for energy efficiency.
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A Comparison of Commercial Microwave Reactors for Scale-Up within Process Chemistry
Jonathan D. Moseley,Philip Lenden,Mark Lockwood,Katinka Ruda,Jon-Paul Sherlock,Anthony D. Thomson,John Peter Gilday +6 more
TL;DR: In this paper, seven commercially available microwave reactors designed for limited scale-up have been investigated using a highly reliable and robust reaction (the Newman−Kwart rearrangement) using a single reaction has enabled the comparison to be made across the range of different reactor types and scales.
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A Commercial Continuous Flow Microwave Reactor Evaluated for Scale-Up
TL;DR: In this paper, six pharmaceutically relevant reactions covering a range of physical parameters have been investigated in a commercially available microwave flow reactor and the reaction conditions were scaled-up from tube or large batch scale microwave conditions, largely without change.
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Scaling-Out Pharmaceutical Reactions in an Automated Stop-Flow Microwave Reactor
TL;DR: In this article, a stop-flow approach in combination with rapid microwave heating can be equivalent to conventional continuous flow technology with comparable productivities, achieving daily throughputs of between 50 and 250 g at typical reaction concentrations.
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Beyond the Numbers: Charting Chemical Reaction Space
TL;DR: An informed estimate of the millions of parameter settings that might be required to optimise one typical transition-metal-catalysed reaction is presented, believed to be for the first time an informed estimation of the number of potential permutations.