Continuous-Flow Synthesis of Carbohydrate Building Blocks: D-Glucuronate Monosaccharide

Jupyter Notebook pages that include automation protocols were created for each step in the the multistep continuous-flow synthesis of a D-glucuronic acid building block through a series of optimised and modular transformations, including O-p-methoxyphenyl (PMP) glycosylation, Zemplén deacylation, 4,6-O-benzylidene protection/deprotection, 2-O-benzoylation, and C6 oxidation/methylation. The Jupyter Notebooks serve as a versatile platform for both writing Python code and comprehensively documenting automated chemical procedures, including reaction setups, protocols, and execution logs. To ensure experimental reproducibility, the necessary chemical information is stored externally in JSON files. The Notebooks process this data to dynamically generate stoichiometry tables and apparatus descriptions, while simultaneously controlling the laboratory’s liquid handling systems.