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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Rehman, Abdul
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (5/5 displayed)
- 2024Parametric optimisation of laser welding of stainless steel 316L
- 2022Theoretical investigation of structural, topological, mechanical and thermal behavior of SrPtS and BaPtS Heusler alloyscitations
- 2019Facile in situ generation of bismuth tungstate nanosheet-multiwalled carbon nanotube composite as unconventional affinity material for quartz crystal microbalance detection of antibioticscitations
- 2015Operational parameter influence on heavy metal removal from metal plating wastewater by electrocoagulation process
- 2009Generating Bio-Analogous Recognition of Artificial Materials - Sensors and Electronic Noses for Odours
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document
Generating Bio-Analogous Recognition of Artificial Materials - Sensors and Electronic Noses for Odours
Abstract
<p>Chemical sensing is a key application of bio-inspired smart materials. Artificial nanostructured layers mimicking biorecognition are synthetically accessible e.g. by imprinting techniques or affinity material nanoparticles. Hence, for detecting extremely malodorous organic thiols (butaneloctance thiol), we designed molybdenum disulphide nanoparticles. In contrast to soft metals (e.g. gold) they interact with the SH-group fully reversibly leading to one of the first real QCM sensors for these compounds. Rationally varying the surface of the recognition material allows for optimizing the interaction properties. Electrolyzed gold e.g. shows sensor effects being about an order of magnitude higher than screen printed electrodes. Furthermore, molecular imprinting leads to highly selective cavities in polymers (polyurethanes, -styrenes, -acrylates) for detecting odorous compounds, e.g. aliphatic alcohols, ethyl acetate and limonene. With these materials, we designed an electronic nose for monitoring plant degradation processes based on a six-electrode QCM (quartz crystal microbalance) array. With a variety of degrading materials (grass, fruit, conifers), it determines the above analytes down to some ppm directly on-line. The concentration data can be extracted from the E-nose frequency shifts by Neural Networks and validated by GC-MS.</p>