In a chemistry lab at the Friedrich Schiller University Jena (Germany), Prof. Dr. Alexander Schiller works at a rectangular plastic board with 384 small wells. The chemist carefully pipets some drops of sugar solution into a row of the tiny reaction vessels. As soon as the fluid has mixed with the contents of the vessels, fluorescence starts in some of the wells. What the Junior Professor for Photonic Materials does here — with his own hands — could also be called in a very simplified way, the “sweetest computer in the world.” The reason: the sugar molecules Schiller uses are part of a chemical sequence for information processing.
The chemist of Jena University and his two postgraduate students, Martin Elstner and Jörg Axthelm recently described in the science journal Angewandte Chemie International Edition how they developed a molecular computer on the basis of sugar. “The binary logic which makes a conventional computer chip work is based on simple yes/no-decisions,” Schiller explains. “There is either electricity flowing between both poles of an electric conductor or there isn’t.” These potential differences are being coded as “0“ and “1“ and can be linked via logic gates — the Boolean operators like AND, OR, NOT. In this way, a number of different starting signals and complex circuits are possible.
These logic links however can also be realized with the help of chemical substances, as the Jena chemists were able to show. For their “sugar computer” they use several components: One fluorescent dye and a so-called fluorescence quencher. “If there are both components involved, the colorant can’t display its impact and we don’t see a fluorescence signal,” Schiller says. But if sugar molecules are involved, the fluorescence quencher reacts with the sugar and thus loses its capability to suppress the fluorescence signal, which makes the dye fluorescent. Depending on whether the dye, the fluorescence quencher and the sugar are on hand to give the signal, a fluorescent signal results “1” or no signal “0.”
“We link chemical reactions with computer algorithms in our system in order to process complex information,” Martin Elstner explains. “If a fluorescence signal is registered, the algorithm determines what goes into the reaction vessel next.” In this way signals are not translated and processed in a current flow, like in a computer but in a flow of matter. That their chemical processing platform works, Schiller and his staff demonstrated in the current study with the sample calculation 10 + 15. “It took our sugar computer about 40 minutes, but the result was correct,“ Schiller says smiling, and clarifies: “It is not our aim to develop a chemical competition to established computer chips.” The chemist rather sees the field of application in medical diagnostics. So it is for instance conceivable to connect the chemical analysis of several parameters of blood and urine samples via the molecular logic platform for a final diagnosis and thus enable decisions for therapies.