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Coding the Assembly of Polyoxotungstates with a Programmable Reaction System.
Andreu Ruiz de la Oliva1, Victor Sans1, Haralampos N Miras1
1WestCHEM, School of Chemistry, The University of Glasgow , Glasgow G12 8QQ, Scotland, U.K.
Inorganic Chemistry
|April 18, 2017
Summary
This study introduces a programmable networked reaction system to dynamically control chemical synthesis in both time and space. This method enables the automated assembly of diverse polyoxometalate clusters from specific building blocks, enhancing yield and reproducibility.
Area of Science:
- Inorganic Chemistry
- Materials Science
- Chemical Engineering
Background:
- Traditional batch and flow chemical synthesis offer temporal or spatial control but lack dynamic integration.
- Investigating complex chemical systems, particularly those involving self-assembly, requires simultaneous control over time and space.
- Maintaining intermediate constituents "off equilibrium" is crucial for accessing novel structures and clusters.
Purpose of the Study:
- To develop and implement a programmable networked reaction system for dynamic chemical synthesis.
- To control the real-time assembly of polyoxometalate clusters using a {W11O38} building block.
- To demonstrate the ability to generate diverse inorganic clusters from a single set of reagents through automated protocols.
Main Methods:
- Connecting discrete "one-pot" reactions within a networked system.
- Producing the {W11O38} building block under varied conditions.
- Utilizing pH and ultraviolet-visible monitoring for real-time control of cluster assembly.
- Employing a fully automated sequence code for synthesis.
Main Results:
- Successfully assembled a series of polyoxometalate clusters: {W12O42}, {W22O74}, {W34O116}, and {W36O120}.
- Demonstrated that the final cluster structure depends on the building block libraries generated within the network.
- Isolated five distinct inorganic clusters using a fixed set of reagents and an automated sequence, bypassing the need for multiple reaction protocols.
Conclusions:
- The programmable networked reaction system enables the dynamic assembly of various iso-polyoxotungstate clusters.
- This approach reveals relationships between different clusters within the iso-polyoxotungstate family.
- The method offers a generalizable strategy for discovering, recording, and implementing complex syntheses, improving yield, reproducibility, and accessibility.