Lab-On-A-Chip Fraunhofer IPMS Shrinks GC-IMS Measuring System for Mobile Use

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Gas chromatographs and ion mobility spectrometers (GC-IMS) can detect even low gas concentrations, but are tied to laboratories. In the FastSense project, a research consortium is now developing a portable, AI-supported measuring system that miniaturizes this complex sensor technology for on-site use.

IMS chip module for simple system integration into an ion mobility spectrometer.(Image: Fraunhofer IPMS)
IMS chip module for simple system integration into an ion mobility spectrometer.
(Image: Fraunhofer IPMS)

Whether in industrial process monitoring, the detection of hazardous substances or environmental monitoring, the precise measurement of volatile organic compounds (VOCs) usually requires a great deal of analytical effort. Measurements are often delayed because samples have to be sent to the laboratory. This is precisely where the new FastSense research project, in which the Fraunhofer IPMS, the Helmholtz Center for Environmental Research (UFZ) and the Center for Applied Research and Technology (ZAFT) are involved, comes in.

Hardware Integration in A Portable Device

Laboratory demonstrator as an ion mobility spectrometer based on a special IMS chip.(Image: Fraunhofer IPMS)
Laboratory demonstrator as an ion mobility spectrometer based on a special IMS chip.
(Image: Fraunhofer IPMS)

The aim of the developers is to create a robust demonstrator that couples a fast gas chromatograph with a miniaturized ion mobility spectrometer (IMS). Fraunhofer IPMS is contributing its expertise in microsystems technology components (MEMS). The Dresden-based institute is responsible for the further development of the highly selective IMS chip, the design of the associated evaluation electronics and the hardware integration of the overall system.

Local Data Processing Via AI

One problem with miniaturized spectrometry is the large amount of data. In order to be able to evaluate the complex, three-dimensional GC-IMS spectra directly on site without having to rely on a cloud connection, the consortium is relying on edge AI. ZAFT is developing intelligent evaluation algorithms that filter even the lowest concentrations (low-concentration analyte substances) reliably and in real time from the measurement noise and identify characteristic patterns.

In the Application: From Forest to Industry

The consortium is initially using the forest condition survey as a primary proof of concept. Trees emit altered VOC patterns under stress (drought, pest infestation), which the mobile system is designed to detect at an early stage. However, the miniaturized sensor hardware developed in the project (running until the end of 2027) also offers enormous potential for industrial automation, for example for leakage detection in plants or for civil security to detect explosives. (heh)

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