Journal: Advanced Sensor Research
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Abbreviation
Adv. Sensor Res.
Publisher
Wiley-VCH
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- Responsive Mn-Ferrite Nanoparticles for Multicolor Magnetic Particle Imaging, Sensing, and Reactive Oxygen Species DegradationItem type: Journal Article
Advanced Sensor ResearchStarsich, Fabian H.L.; Feye, Julia; Nissler, Robert; et al. (2025)New possibilities offered by Magnetic Particle Spectroscopy (MPS) and Imaging (MPI) are increasingly being recognized and may accelerate the introduction of MPI into clinical settings. As MPI is a tracer-based imaging method, the design and development of responsive tracers for functional imaging are particularly appealing. Here, Mn-ferrite (Mn$_x$Fe$_{3-x}$O$_4$) nanoparticles with finely tuned magnetic properties and enzyme-like capabilities are reported as potential multifunctional theranostic agents. By adjusting the Mn content in the iron oxide matrix, the magnetic particle imaging signal of different tracers can be tweaked, allowing for the simultaneous quantitative detection of two different tracers in a multi-color approach. The Mn$_2$FeO$_4$ tracers exhibit potent enzyme-like catalytic properties, enabling degradation of reactive oxygen species, including H$_2$O$_2$ and OH$^-$. Due to the readily interchangeable oxidation states of Mn and Fe atoms in the crystal structure, a strong dependence of the magnetic properties is observed on H$_2$O$_2$ exposure, which can be exploited for sensing. This enables, for the first time, the sensing of reactive oxygen species based on magnetic particle spectroscopy and imaging, with sensitivity down to 25 μm H$_2$O$_2$ and complete sensor recovery over time. In summary, Mn-ferrite nanoparticles hold promising potential for imaging, sensing, and degradation of disease-relevant reactive oxygen species. - Fast Nitrogen Dioxide Sensing with Ultralow‐Power Nanotube Gas SensorsItem type: Journal Article
Advanced Sensor ResearchJung, Seoho; Roman, Cosmin; Hierold, Christofer (2024)The study reports fast, ultralow-power operation of carbon nanotube-based nitrogen dioxide (NO₂) sensors enabled by nanotube self-heating and transient sensing. The self-heating effect in the nanotube channel significantly accelerates the desorption of gas molecules, reducing the sensor recovery time to a minute. As gas molecules re-adsorb on the nanotube after cooling, the initial rate of the sensor transient is used to determine NO₂ concentration within a few minutes. To accelerate and optimize the operation of the sensor, the study considered temperature profiles along the self-heated carbon nanotube, their effect on different sensing regions, and a physical model-based fit. As a result, the nanotube-based NO₂ sensor demonstrates recovery and readout times below 5 min and an extrapolated limit of detection below 10 ppb. The peak power consumption of this operation mode is below 6 μW. The combination of fast readout, fast recovery, low limit of detection, and ultralow power consumption demonstrated in this work shows strong promise of carbon nanotube-based NO₂ sensors in mobile or Internet-of-Things (IoT) applications. - A Review on Sensor-Integrating Machine ElementsItem type: Review Article
Advanced Sensor ResearchKirchner, Eckhard; Wallmersperger, Thomas; Gwosch, Thomas; et al. (2024)This contribution summarizes the current state of research regarding so-called sensor-integrating machine elements as an enabler of digitalization in mechanical engineering and--if available-their application in industry. The focus is on the methodical aspects of the development of these machine elements in general as well as specific sensor-integrating machine elements that are either already in use or currently under development. Developmental aspects include the robust design of initially evaluated concepts for sensor-integrating machine elements as well as their modularization. Smart materials with sensory functions are included in the analysis as well as the differentiation with regard to add-on sensors. The aim of the authors interlinked by a special research program funded by the German Research Foundation (DFG) is to facilitate the exchange with other researchers with the help of the comprehensive overview given in this contribution. The contribution concludes with a brief discussion of open challenges, such as the energy supply and data transfer in rotating systems and also data security.
Publications 1 - 3 of 3