2021
DOI: 10.1021/acssensors.1c00812
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Wireless Tags with Hybrid Nanomaterials for Volatile Amine Detection

Abstract: 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 SiO 2 :ZnO (an n-type material) … Show more

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Cited by 30 publications
(22 citation statements)
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References 52 publications
(91 reference statements)
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“…The p-CARDs response could be improved by using more selective and sensitive chemiresistive sensors based on ptoluene sulfonate hexahydrate (PTS) doped PANI nanostructures 57 or hybrid (inorganic n-type/organic p-type) composites comprising SiO 2 :ZnO nanofibers (NF) and functionalized SWCNTs. 105 PTS−PANI modified tags have the advantage of being compatible with inkjet printing, 57 presenting a high chemoresistive sensitivity (ΔR/R 0 ) toward 5 ppm vapors of the biogenic amines putrescine (46%) and cadaverine (17%). Wireless sensors based on hybrid SiO 2 :ZnO NF/SWCNTs structures 105 (Figure 5A) presented a dosimetric sensitivity approximately 40 times higher for amines when compared to other VOCs, allowing the quantitative detection at concentrations as low as 2.5 ppm.…”
Section: Mechanismsmentioning
confidence: 99%
See 1 more Smart Citation
“…The p-CARDs response could be improved by using more selective and sensitive chemiresistive sensors based on ptoluene sulfonate hexahydrate (PTS) doped PANI nanostructures 57 or hybrid (inorganic n-type/organic p-type) composites comprising SiO 2 :ZnO nanofibers (NF) and functionalized SWCNTs. 105 PTS−PANI modified tags have the advantage of being compatible with inkjet printing, 57 presenting a high chemoresistive sensitivity (ΔR/R 0 ) toward 5 ppm vapors of the biogenic amines putrescine (46%) and cadaverine (17%). Wireless sensors based on hybrid SiO 2 :ZnO NF/SWCNTs structures 105 (Figure 5A) presented a dosimetric sensitivity approximately 40 times higher for amines when compared to other VOCs, allowing the quantitative detection at concentrations as low as 2.5 ppm.…”
Section: Mechanismsmentioning
confidence: 99%
“…105 PTS−PANI modified tags have the advantage of being compatible with inkjet printing, 57 presenting a high chemoresistive sensitivity (ΔR/R 0 ) toward 5 ppm vapors of the biogenic amines putrescine (46%) and cadaverine (17%). Wireless sensors based on hybrid SiO 2 :ZnO NF/SWCNTs structures 105 (Figure 5A) presented a dosimetric sensitivity approximately 40 times higher for amines when compared to other VOCs, allowing the quantitative detection at concentrations as low as 2.5 ppm. Such p-CARDs were successfully tested for detection of biogenic amines released during the spoilage of different kinds of meat (beef, chicken, and fish), presenting a more pronounced response for chicken meat, which usually shows higher emission of volatile amines during putrefaction.…”
Section: Mechanismsmentioning
confidence: 99%
“…Among them, the chemiresistors possess the simplicity with two electrodes, which satisfies the requirement of IoT applications [189], i.e., low cost, low energy consumption, and distributed sensor networks. Indeed, the chemiresistors are highly compatible with the integration of radio-frequency identification (RFID) tags [190,191].…”
Section: Chemiresistive Biosensor For Dna Detectionmentioning
confidence: 99%
“…Last but not least, the booming IoT sets higher requirements for next-generation sensors. Flexible or wearable sensors [ 17 , 141 , 142 ], and those with ultralow power consumption or even powerless (self-powered), and the ability to wirelessly communicate [ 139 , 143 , 144 , 145 , 146 ], and combinations of these [ 147 , 148 , 149 ] need to be considered in the future device fabrication.…”
Section: Challenges and Outlookmentioning
confidence: 99%