Researchers have developed a new approach for manipulating the behavior of cells on semiconductor materials, using light to alter the conductivity of the material itself. Albena Ivanisevic, a professor of materials science and engineering at NC Stat said: “Our work here effectively adds another tool to the toolbox for the development of new bioelectronic devices.” The new approach uses a phenomenon called persistent photoconductivity. Materials that exhibit persistent photoconductivity become much more conductive when you shine a light on them. When the light is removed, it takes the material a long time to return to its original conductivity.
When conductivity is elevated, the charge at the surface of the material increases. And that increased surface charge can be used to direct cells to adhere to the surface. “This is only one way to control the adhesion of cells to the surface of a material,” Ivanisevic says. “But it can be used in conjunction with others, such as engineering the roughness of the material’s surface or chemically modifying the material.”
For this study, the researchers demonstrated that all 3 characteristics can be used together, working with a gallium nitride substrate and PC12 cells – a line of model cells used widely in bioelectronics testing. The researchers tested two groups of gallium nitride substrates that were identical, except that one group was exposed to UV light – triggering its persistent photoconductivity properties – while the second group was not.
“There was a clear, quantitative difference between the two groups – more cells adhered to the materials that had been exposed to light,” Ivanisevic says. “This is a proof-of-concept paper,” Ivanisevic says. “We now need to explore how to engineer the topography and thickness of the semiconductor material in order to influence the persistent photoconductivity and roughness of the material. Ultimately, we want to provide better control of cell adhesion and behavior.” https://news.ncsu.edu/2017/05/persistent-photoconductivity-bioelectronics-2017/
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