Literature DB >> 30576045

High Throughput Strategies for the Discovery and Optimization of Catalytic Reactions.

Eric S Isbrandt1, Ryan J Sullivan1, Stephen G Newman1.   

Abstract

Homogeneous catalysis has provided chemists with numerous transformations to enable rapid construction of organic molecules. However, these reactions are complex, requiring multiple substrate-dependent mechanistic steps to operate in harmony under a single set of experimental conditions. As a consequence, synthetic chemists often carry out laborious, empirical screening to identify suitable catalysts, solvents, and additives to achieve high yields and selectivity. In this Minireview, recently developed tools, technologies, and strategies will be described that improve this development process. In particular, the application of high throughput techniques to run more experiments, experimental design principles to access better data, and statistical tools to provide predictive models will be discussed.
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  catalysis; data analysis; flow chemistry; high throughput experimentation; synthetic methods

Year:  2019        PMID: 30576045     DOI: 10.1002/anie.201812534

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  7 in total

1.  Reductive Arylation of Arylidene Malonates Using Photoredox Catalysis.

Authors:  Rick C Betori; Karl A Scheidt
Journal:  ACS Catal       Date:  2019-10-17       Impact factor: 13.700

2.  Multistage nucleic acid amplification induced nano-aggregation for 3D hotspots-improved SERS detection of circulating miRNAs.

Authors:  Yudie Sun; Yang Yi; Aobo Feng; Kui Zhang; Jing-Juan Xu
Journal:  J Nanobiotechnology       Date:  2022-06-16       Impact factor: 9.429

3.  Combined Photoredox and Carbene Catalysis for the Synthesis of Ketones from Carboxylic Acids.

Authors:  Anna V Davies; Keegan P Fitzpatrick; Rick C Betori; Karl A Scheidt
Journal:  Angew Chem Int Ed Engl       Date:  2020-03-24       Impact factor: 15.336

4.  Iterative Supervised Principal Component Analysis Driven Ligand Design for Regioselective Ti-Catalyzed Pyrrole Synthesis.

Authors:  Xin Yi See; Xuelan Wen; T Alexander Wheeler; Channing K Klein; Jason D Goodpaster; Benjamin R Reiner; Ian A Tonks
Journal:  ACS Catal       Date:  2020-11-05       Impact factor: 13.084

5.  A Perspective on Innovating the Chemistry Lab Bench.

Authors:  Alexander G Godfrey; Samuel G Michael; Gurusingham Sitta Sittampalam; Gergely Zahoránszky-Köhalmi
Journal:  Front Robot AI       Date:  2020-02-25

6.  A reactivity model for oxidative addition to palladium enables quantitative predictions for catalytic cross-coupling reactions.

Authors:  Jingru Lu; Sofia Donnecke; Irina Paci; David C Leitch
Journal:  Chem Sci       Date:  2022-02-28       Impact factor: 9.825

7.  Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors.

Authors:  Yanfei Guan; Connor W Coley; Haoyang Wu; Duminda Ranasinghe; Esther Heid; Thomas J Struble; Lagnajit Pattanaik; William H Green; Klavs F Jensen
Journal:  Chem Sci       Date:  2020-12-22       Impact factor: 9.825

  7 in total

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