Chemical reaction optimization (RO) is an iterative process that results in large, high-dimensional datasets. Current tools allow for only limited analysis and understanding of parameter spaces, making it hard for scientists to review or follow changes throughout the process. With the recent emergence of using artificial intelligence (AI) models to aid RO, another level of complexity has been added.
View Article and Find Full Text PDFAutomation and digitalization solutions in the field of small molecule synthesis face new challenges for chemical reaction analysis, especially in the field of high-performance liquid chromatography (HPLC). Chromatographic data remains locked in vendors' hardware and software components, limiting their potential in automated workflows and data science applications. In this work, we present an open-source Python project called MOCCA for the analysis of HPLC-DAD (photodiode array detector) raw data.
View Article and Find Full Text PDFThe most active alkyne metathesis catalysts rely on well-defined Mo alkylidynes, XMo≡CR (X = OR), in particular the recently developed canopy catalyst family bearing silanolate ligand sets. Recent efforts to understand catalyst reactivity patterns have shown that NMR chemical shifts are powerful descriptors, though previous studies have mostly focused on ligand-based NMR descriptors. Here, we show in the context of alkyne metathesis that Mo chemical shift tensors encode detailed information on the electronic structure of these catalysts.
View Article and Find Full Text PDFAims: To estimate the prevalence of extended-spectrum-β-lactamase (ESBL)-producing enterobacterales (ESBL-E) carriage in the general population of Lower Saxony, Germany, and to identify risk factors for being colonized.
Methods And Results: Participants were recruited through local press and information events. Detection of ESBL-E by culture was conducted using ESBL-selective chromagar plates containing third-generation cephalosporins.
Molybdenum alkylidyne complexes with a trisilanolate podand ligand framework ("canopy catalysts") are the arguably most selective catalysts for alkyne metathesis known to date. Among them, complex 1 a endowed with a fence of lateral methyl substituents on the silicon linkers is the most reactive, although fairly high loadings are required in certain applications. It is now shown that this catalyst decomposes readily via a bimolecular pathway that engages the Mo≡CR entities in a stoichiometric triple-bond metathesis event to furnish RC≡CR and the corresponding dinuclear complex, 8, with a Mo≡Mo core.
View Article and Find Full Text PDF