ACS Catalysis · 2022 · 13 citations · 58 references
Natural SciencesChemical EngineeringChemistryAnalytical ChemistryCatalysisMass Spectrometric AnalysisChiral ChromatographyDetector SystemsInstrumental AnalysisMass SpectrometryAnalytical Chiral ChromatographyAsymmetric CatalysisEnantiomeric Excess MeasurementEnantiomeric SeparationEnantioselectivity ScreeningIsolationProduct IsolationSelected Ion Monitoring
High-Throughput Experimentation (HTE) workflows are efficient means of surveying a broad array of chiral catalysts in the development of catalytic asymmetric reactions. However, use of traditional HPLC-UV/vis methodology to determine enantiomeric excess (ee) from the resulting reactions is often hampered by co-elution of other reaction components, resulting in erroneous ee determination when crude samples are used, and ultimately requiring product isolation prior to ee analysis. In this study, using four published reactions selected as model systems, we demonstrate that the use of LC-MS, SFC-MS, and selected ion monitoring (SIM) mass chromatography provides a highly accurate means to determine ee of products in crude reaction samples using commonplace, low-cost MS detectors. By using ion selection, co-eluting signals can be deconvoluted to provide accurate integrations of the target analytes. We also show that this method is effective for samples lacking UV/vis chromophores, making it ideal for HTE workflows in asymmetric catalysis.
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Predicting reaction performance in C–N cross-coupling using machine learning
Derek T. Ahneman, Jesús G. Estrada, Shishi Lin et al. · Science · 2018 · 1.1K citations
Encyclopedia of analytical science
Choice Reviews Online · 1996 · 740 citations
Pharmacy, Chemistry, Toxicology +17