Journal: Advanced Sensor Research

Abbreviation

Adv. Sensor Res.

Publisher

Wiley-VCH

Journal Volumes

ISSN

2751-1219
2751-1219

Description

Filters

2024 - 20255
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Publications1 - 5 of 5
  • Qualitative Real-Time Disinfection Monitoring through Lipid Nanoparticle-Separated Fluorophore-Quencher Pairs
    Item type: Journal Article
    Pfuderer, Lara; Grass, Robert (2025)
    Advanced Sensor Research
    Clean, disinfected surfaces and medical instruments are critical to maintaining a hygienic environment, especially in healthcare settings. Current methods for disinfection validation and training require either a long evaluation time or do not distinguish between physical (dilution) and chemical (disintegration) disinfection procedures. However, to achieve effective disinfection, both effects, dilution and disintegration, are required for many commonly used disinfectants (e.g., alcohol, sodium hypochlorite, quaternary ammonium compounds). In this study, a method is established for the real-time monitoring of surface disinfection using fluorescence-labeled DNA and lipid nanoparticles (LNP) encapsulating such DNA. It is shown that the spatial separation of quencher-modified DNA and fluorophore-modified complementary DNA by LNPs can be disrupted by ethanolic disinfectants, facilitating the disintegration of LNPs. The resulting quenching of fluorescence can immediately be detected using a manual setup comprising a hand-held laser, a color filter, and a smartphone camera. To demonstrate a potential application of this novel disinfection detection technology, disinfection of a commonly used medical instrument, a scalpel, is validated using the qualitative change in fluorescence upon disintegration of LNPs, enabling distinction between physical dilution and chemical disintegration. Therefore, LNPs spatially separating quencher and fluorophore offer real-time, qualitative monitoring of surface disinfection.
  • Fast Nitrogen Dioxide Sensing with Ultralow‐Power Nanotube Gas Sensors
    Item type: Journal Article
    Jung, Seoho; Roman, Cosmin; Hierold, Christofer (2024)
    Advanced Sensor Research
    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.
  • Responsive Mn-Ferrite Nanoparticles for Multicolor Magnetic Particle Imaging, Sensing, and Reactive Oxygen Species Degradation
    Item type: Journal Article
    Starsich, Fabian H.L.; Feye, Julia; Nissler, Robert; et al. (2025)
    Advanced Sensor Research
    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.
  • A Review on Sensor-Integrating Machine Elements
    Item type: Review Article
    Kirchner, Eckhard; Wallmersperger, Thomas; Gwosch, Thomas; et al. (2024)
    Advanced Sensor Research
    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.
  • Sialic Acid Sensing via Molecularly Imprinted Polymer on Laser-Induced Graphene
    Item type: Journal Article
    Shokurov, Alexander V.; Supelnic, Max Nobre; Menon, Carlo (2025)
    Advanced Sensor Research
    Sialic acid is an important biomarker for oral diseases, including cancer. We show that electropolymerization of aminophenylboronic acid onto laser-induced graphene substrate in the presence of sialic acid results in the formation of a molecularly imprinted polymer. Removal of the template sialic acid makes the film capable of subsequent recognition of this analyte. Interaction of the sensor film with the analyte is then tracked using electrochemical approaches in the presence of an external redox-couple, differential pulse voltammetry showing the clearest analytical signal (sensitivity of 14.113 mu A/mm). The studies comparing the imprinted and non-imprinted samples show that the effect of imprinting is indeed the cause of the selective detection capabilities of the electropolymerized film, exhibiting an average imprinting factor of around 12.72. It is demonstrated that the sensor can measure sialic acid in a clinically relevant range of salivary concentrations (LOD = 0.598 mm), being able to recognize threshold levels associated with cancerous processes. The sensor shows good selectivity to the chosen SA analyte in the tests with common saliva interferents: proteins and glucose. While performance in real samples of unstimulated whole saliva is lacking, the developed sensor shows potential for use in lab and point-of-care assessments.
Publications1 - 5 of 5