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Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
Published on: February 6, 2020
Coordination-Driven Scrambling in Tricopper(I) Clusters: Thermodynamic Insights into Dynamic Assembly
Venkata Sai Sashankh Penki1, Najeeb Ullah1, Sri Sudewi2,3
1Department of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung80708, Taiwan.
Tricocopper(I) clusters enable control over multicomponent self-assembly by redistributing metal-ligand units. Temperature dictates whether enthalpy or entropy drives assembly, offering tunable self-sorting in dynamic combinatorial systems.
Area of Science:
- Coordination Chemistry
- Supramolecular Chemistry
- Materials Science
Background:
- Controlling product distributions in multicomponent self-assembly is challenging, especially with pre-organized fragments.
- Metal-cluster-based dynamic combinatorial systems offer a unique approach to self-assembly.
- β-Thioketiminato tricopper(I) clusters ([LCu]3) represent a rare class of such systems.
Purpose of the Study:
- To investigate the thermodynamic control of self-assembly in heteroleptic tricopper(I) clusters.
- To understand the exchange mechanisms and temperature-dependent behavior of these dynamic systems.
- To establish a model for studying tunable self-sorting in metal-cluster systems.
Main Methods:
- Mixing homoleptic tricopper(I) clusters ([LACu]3 and [LBCu]3) to form dynamic libraries.
- Utilizing variable-temperature Nuclear Magnetic Resonance (VT-NMR) spectroscopy to study exchange dynamics.
- Employing non-linear Van't Hoff analysis and Density Functional Theory (DFT) calculations.
Main Results:
- Mixing precursors generated heteroleptic species (A2B and AB2b) with distributions following binomial statistics.
- VT-NMR confirmed rapid, reversible exchange and temperature-dependent equilibration.
- Analysis revealed a thermodynamic regime crossover near 275 K, with lower temperatures favoring enthalpy-driven homoleptic stabilization and higher temperatures favoring entropy-driven heteroleptic stabilization.
Conclusions:
- Simplified multinuclear clusters serve as effective models for exploring thermodynamic control in self-assembly.
- Temperature plays a crucial role in directing the entropic or enthalpic contributions to assembly.
- These findings provide insights into achieving tunable self-sorting in dynamic metal-cluster systems.
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