Automated Structural Activity Screening of β‐Diketonate Assemblies with High‐Throughput Ion Mobility‐Mass Spectrometry

Embracing complexity in design, metallo‐supramolecular self‐assembly presents an opportunity for fabricating materials of economic significance. The array of accessible supramolecules is alluring, along with favourable energy requirements. Implementation is hampered by an inability to efficiently characterise complex mixtures. The stoichiometry, size, shape, guest binding properties and reactivity of individual components and combinations thereof are inherently challenging to resolve. A large combinatorial library of four transition metals (Fe, Cu, Ni and Zn), and six β‐diketonate ligands at different molar ratios and pH was robotically prepared and directly analysed over multiple timepoints with electrospray ionisation travelling wave ion mobility‐mass spectrometry. The dataset was parsed for self‐assembling activity without first attempting to structurally assign individual species. Self‐assembling systems were readily categorised without manual data‐handling, allowing efficient screening of self‐assembly activity. This workflow clarifies solution phase supramolecular assembly processes without manual, bottom‐up processing. The complex behaviour of the self‐assembling systems was reduced to simpler qualities, which could be automatically processed. Robotically prepared combinatorial libraries of β‐diketonates were analysed with high‐throughput ion mobility‐mass spectrometry. The dynamic ensemble of components and assemblies were directly separated by their topology. Rapid automated analysis of the makeup of the complex samples was achieved without individual peak assignment. The dataset was parsed for assembly activity without first attempting to structurally assign individual species.