New model gives better control of self-assembly processes

Oct 10, 2013
New model gives better control of self-assembly processes
Researchers Peter Korevaar (left) and Tom de Greef. Credit: Bart van Overbeeke

Researchers at ICMS (Institute for Complex Molecular Systems, Eindhoven University of Technology) have developed a new model that allows better control of self-assembly, the process through which molecules aggregate by themselves into larger clusters. This model could be used in the production of plastic solar cells, and is an interesting step in the long‑term process of developing a synthetic cell. The research was published online yesterday in the journal PNAS.

Molecular self-assembly is often a matter of trial and error: the basic molecules are brought together and then you just – more or less – have to wait and see if the result has the desired structure. In their publication the TU/e researchers, supervised by prof.dr. Bert Meijer, describe a model that allows better control of the assembly process. Which means the model provides a kind of guide to which parameters need to be changed (for example the temperature, concentration and solvent used) to ensure the right material is assembled.

Plastic solar cells

In this publication the authors show how their model works in an assembly process of two molecules, which together form a material similar to that used for plastic solar cell. The model could find practical application in the near future to optimize the production process for these , as well as for other biomaterials such as hydrogels.

Synthetic cell

This is the first time that a model-based approach has been used to control a self-. According to lead author ir. Peter Korevaar, the added value results from a better understanding of the interactions between the on which the is based. This will allow extension to more complex assembly processes, as well as the prediction of their outcomes, with the building of a synthetic cell as the longer-term goal.

Explore further: Towards controlled dislocations

More information: Korevaar, P. et al., Model-driven optimization of multicomponent self-assembly processes, PNAS (7 October 2013, online). www.pnas.org/content/early/2013/10/02/1310092110

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