02123naa a2200241 a 450000100080000000500110000800800410001902200140006002400520007410000170012624500970014326000090024030000140024952014500026365300180171365300250173165300210175670000150177770000240179270000180181670000180183477300290185221344222022-06-10       2021    bl uuuu     u00u1 u    #d  a2379-36947 ahttps://doi.org/10.1021/acssensors.1c008122DOI1 aANDRE, R. S.  aWireless tags with hybrid nanomaterials for volatile amine detection.h[electronic resource]  c2021  a2457-2464  a: Quality control in the production and processing of raw meat is currently one of the biggest concerns for food industry and would benefit from portable and wireless sensors capable of detecting the onset of spoilage. Raw meat is a natural source of biogenic and volatile amines as byproducts of decarboxylation reactions, and the levels of these compounds can be utilized as quality control parameters. We report herein a hybrid chemiresistor sensor based on inorganic nanofibers of SiO2:ZnO (an n-type material) and single-walled carbon nanotubes functionalized with 3,5-dinitrophenyls (a p-type material) with dosimetric sensitivity ∼40 times higher for amines than for other volatile organic compounds, which also provides excellent selectivity. The hybrid nanomaterial-based chemiresistor sensory material was used to convert radio-frequency identification tags into chemically actuated resonant devices, which constitute wireless sensors that can be potentially employed in packaging to report on the quality of meat. Specifically, the as-developed wireless tags report on cumulative amine exposure inside the meat package, showing a decrease in radio-frequency signals to the point wherein the sensor ceased to be smartphone-readable. These hybrid material-modified wireless tags offer a path to scalable, affordable, portable, and wireless chemical sensor technology for food quality monitoring without the need to open the packaging.  aAmine sensing  aInorganic nanofibers  aWireless sensing1 aNGO, Q. P.1 aFUGIKAWA-SANTOS, L.1 aCORREA, D. S.1 aSWAGER, T. M.  tACS Sensorsgv. 6, 2021.