News Release

A chip for environmental and health monitoring

In a joint German-Israeli research project, FAU scientists are developing miniaturised sensor systems that can be produced on an industrial scale

Grant and Award Announcement

Friedrich-Alexander-Universität Erlangen-Nürnberg

Sensors for incorporation in inexpensive measuring devices or virtual personal support systems are increasingly in demand in the environmental, safety, and health-monitoring fields. To date, however, progress has been hampered because the cost-effective manufacturing processes necessary for mass production are lacking. Researchers at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) with international partners from Israel and Germany have set about changing this in a project funded by the German Federal Ministry of Education and Research. If the project is successful, the sensors could in future be used for large-scale close monitoring of NO2 levels in metropolitan areas and to improve the diagnosis and early detection of cancers.

Combining different sensor components is a key factor

The project represents an extension of an earlier successful collaborative undertaking in which the Erlangen-based team developed the technological groundwork together with their Israeli colleagues. These include intelligent sensor arrays, which can analyse complex gas mixtures. To do this, the scientists combined several sensor components which react to large numbers of molecules in non-specific but slightly different ways. 'Based on the combined reactions of all sensor components, we can deduce the presence of a specific molecule,' explains Prof. Silke Christiansen, who is working with Prof. Gerd Leuchs, Professor of Experimental Physics (Optics) at FAU and the director of the Max Planck Institute for the Science of Light. The researchers have already successfully tested the concept underlying the sensor in the diagnosis of cancer - but using a design which is not yet suitable for cost-effective mass production.

Two challenges - miniaturisation and compatibility

To produce their miniaturised sensor arrays, the researchers first need to overcome two challenges. Firstly, they have to integrate the three main components in a single chip - the gas-sensitive sensors, the transistors for processing the signals and artificial intelligence in the form of neural networks, which process the complex sensor signal patterns and evaluate them. The second problem is that the researchers are restricted in terms of the materials they can use. 'In order to achieve industrial-scale mass production, the sensor arrays will have to be made on the large assembly lines that are already being employed for the extensive manufacture of microchips, but these are customised to the types of manufacturing processes needed to produce semiconductor devices. If we are to use them, only certain materials can be used, since atypical components can permanently contaminate these kinds of plants,' said Christiansen.

FAU - an expert in material analysis and processing

The FAU team is working on the project - which has attracted total funding of €1.8 million - alongside three Israeli participants and a German partner from industry. The project partners are the Israeli semiconductor manufacturer Tower Semiconductor, Technion in Haifa, Tel Aviv University and the German semiconductor manufacturing plant construction company Singulus Technologies AG, based in Kahl am Main. The scientists at the Chair of Experimental Physics (Optics) are contributing their expertise in the field of materials analysis and processing. 'In our lab we will be investigating whether the materials we use actually work as they are supposed to, and how the production processes will need to be adapted to create sensor structures that function properly,' explains Prof. Christiansen.

In addition, the researchers will be fine-tuning the functionality of the materials used. This will allow, for example, organic molecules for specific sensor applications to be applied to the substrate of the chip, which will provide characteristic sensor responses in specific areas of application, such as in the respiratory diagnosis of cancer or monitoring levels of harmful gases in the environment or workplaces.

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