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(Nanowerk News) Scientists at the University of Glasgow have devised a molecular 'LEGO toolkit' which can be used to assemble a vast number of new and functional chemical compounds. Using molecules as building blocks they have been able to construct a molecular scaffold based on tiny (nano-scale) storage cubes. This new ‘designer route’ opens the door to many new compounds that, potentially, are able to act as the ion sensors, storage devices, and catalysts of the future. Researchers within the Department of Chemistry created hollow cube-based frameworks from polyoxometalates (POMs) – complex compounds made from metal and oxygen atoms – which stick together like LEGO bricks meaning a whole range of well-defined architectures can be developed with great ease ("Face-directed self-assembly of an electronically active Archimedean polyoxometalate architecture").

In the new study, which was funded by the U.S. Department of Energy, Hla's team examined synthesized molecules of a type of organic salt, (BETS)2-GaCl4, placed on a surface of silver. Using scanning tunneling spectroscopy, the scientists observed superconductivity in molecular chains of various lengths. For chains below 50 nanometers in length, superconductivity decreased as the chains became shorter. However, the researchers were still able to observe the phenomenon in chains as small as four pairs of molecules, or 3.5 nanometers in length.

Last week, Nanowerk’s Spotlight piece covered recent research in which Swiss researchers demonstrated that they could remove metal ions, steroid drugs and proteins from blood by using nanomagnets. The nanomagnets are basically carbon-coated iron carbide at the nanoscale (an average diameter of 30 nanometers) and are functionalized with linker molecules that attract the target material in the blood.

A class of molecules whose size, structure and chemical composition have been optimized for photonic use could provide the demanding combination of properties needed to serve as the foundation for low-power, high-speed all-optical signal processing.