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231226s2023 xx |||||o 00| ||eng c |
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|a 10.1002/adma.202209004
|2 doi
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|a pubmed24n1166.xml
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|a eng
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| 100 |
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|a Hou, Yi
|e verfasserin
|4 aut
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|a Photonic Crystal-Integrated Optoelectronic Devices with Naked-Eye Visualization and Digital Readout for High-Resolution Detection of Ultratrace Analytes
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|c 2023
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 23.02.2023
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|a Date Revised 23.02.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2022 Wiley-VCH GmbH.
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|a The detection of ultratrace analytes is highly desirable for the non-invasive monitoring of human diseases. However, a major challenge is fast, naked-eye, high-resolution ultratrace detection. Herein, a rectangular 3D composite photonic crystal (PC)-based optoelectronic device is first designed that combines the sensitivity-enhancing effects of PCs and optoelectronic devices with fast and real-time digital monitoring. A crack-free, centimeter-scale, mechanically robust ellipsoidal composite PCs with sufficient hardness and modulus, even exceeding most plastics and aluminum alloys, are developed. The high mechanical strength of ellipsoidal composite PCs allows them to be hand-machined into rectangular geometries that can be conformally covered with the centimeter-scale flat light-detection area without interference from ambient light, easily integrating 3D composite PC-based optoelectronic devices. The PC-based device's signal-to-noise ratio increases dramatically from original 30-40 to ≈60-70 dB. Droplets of ultratrace analytes on the device are identified by fast digital readout within seconds, with detection limits down to 5 µL, enabling rapid identification of ultratrace glucose in artificial sweat and diabetes risk. The developed 3D PC-based sensor offers the advantages of small size, low cost, and high reliability, paving the way for wider implementation in other portable optoelectronic devices
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|a Journal Article
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|a naked-eye visualization
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|a nanoparticles
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|a optoelectronic devices
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|a photonic crystals
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|a ultratrace detection
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1 |
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|a Yuan, Shuai
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhu, Guangda
|e verfasserin
|4 aut
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| 700 |
1 |
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|a You, Baihao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Xu, Ying
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Jiang, Wenxin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Shum, Ho Cheung
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Pong, Philip W T
|e verfasserin
|4 aut
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| 700 |
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|a Chen, Chia-Hung
|e verfasserin
|4 aut
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| 700 |
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|a Wang, Liqiu
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Advanced materials (Deerfield Beach, Fla.)
|d 1998
|g 35(2023), 7 vom: 13. Feb., Seite e2209004
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|x 1521-4095
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|g volume:35
|g year:2023
|g number:7
|g day:13
|g month:02
|g pages:e2209004
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|u http://dx.doi.org/10.1002/adma.202209004
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