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Smart Sensors in Chemical and Process Engineering





            Sensors as key elements of microelectronics are being
            increasingly used in specialist areas, for example in
            chemical and process engineering. They provide real-
            time data from the ongoing process, thus significantly
            contributing  to the intelligent optimization of a wide
            variety of processes.

            The SmartLab Systems research group at the Chair of
            Bioprocess Engineering (of the Institute of Natural
            Materials Technology) at TU Dresden is working on
            issues related to Industry 4.0, the Internet of Things
            and Big Data in the laboratory environment, as well as
            biotechnology in general. The researchers are exploring
            the next generation of autonomous mobile sensor
            systems. A shining example is Sens-o-Spheres:
            This spherical, miniaturized sensor system is only the
            size of a pea and can move freely in liquids, ensuring
            consistent measurements. Sens-o-Spheres are the
            world’s smallest fully autonomous microsensors for
            measuring temperature and pH. In the future, other
            parameters such as oxygen or Co2 content will be
            measured.                                        Right:  Sens-o-Sphere measuring device no larger than a pea. Free
                                                                 flowing online sensor with a diameter of less than 8mm for
                                                                 measuring temperature in fluids / Image: TUD_BVT/Lenk
            In 2022, the start-up amensio in Dresden was success-
            ful in bringing this product to large-scale market maturity.

                                                               CONTACT

                                                               Dr. Felix Lenk
                                                               Head of SmartLab-Systems //
                                                               TU Dresden

                                                               ✉   felix.lenk@tu-dresden.de
                                                                     tud.de/ing/maschinenwesen/int/das-institut/
                                                                 bioverfahrenstechnik-biotechnologie

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