Multi-electron Reduction Capacity and Multiple Binding Pockets in Metal-Organic Redox Assembly at Surfaces.
Tobias W MorrisI J HuerfanoMiao WangDavid L WismanAlyssa C CabelofNaseem Ud DinChristopher D TempasDuy LeAlexander V PolezhaevTalat S RahmanKenneth G CaultonSteven L TaitPublished in: Chemistry (Weinheim an der Bergstrasse, Germany) (2019)
Metal-ligand complexation at surfaces utilizing redox-active ligands has been demonstrated to produce uniform single-site metals centers in regular coordination networks. Two key design considerations are the electron storage capacity of the ligand and the metal-coordinating pockets on the ligand. In an effort to move toward greater complexity in the systems, particularly dinuclear metal centers, we designed and synthesized tetraethyltetra-aza-anthraquinone, TAAQ, which has superior electron storage capabilities and four ligating pockets in a diverging geometry. Cyclic voltammetry studies of the free ligand demonstrate its ability to undergo up to a four-electron reduction. Solution-based studies with an analogous ligand, diethyldi-aza-anthraquinone, demonstrate these redox capabilities in a molecular environment. Surface studies conducted on the Au(111) surface demonstrate TAAQ's ability to complex with Fe. This complexation can be observed at different stoichiometric ratios of Fe:TAAQ as Fe 2p core level shifts in X-ray photoelectron spectroscopy. Scanning tunneling microscopy experiments confirmed the formation of metal-organic coordination structures. The striking feature of these structures is their irregularity, which indicates the presence of multiple local binding motifs. Density functional theory calculations confirm several energetically accessible Fe:TAAQ isomers, which accounts for the non-uniformity of the chains.
Keyphrases
- high resolution
- density functional theory
- electron microscopy
- electron transfer
- single molecule
- molecular dynamics
- case control
- metal organic framework
- escherichia coli
- biofilm formation
- magnetic resonance imaging
- aqueous solution
- dna binding
- deep learning
- sensitive detection
- risk assessment
- reduced graphene oxide
- heavy metals
- climate change
- candida albicans
- health risk