Sensitive, Quantitative Naked-Eye Biodetection with Polyhedral Cu Nanoshells
© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Veröffentlicht in: | Advanced materials (Deerfield Beach, Fla.). - 1998. - 29(2017), 37 vom: 17. Okt. |
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1. Verfasser: | |
Weitere Verfasser: | , , , , , , |
Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2017
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Zugriff auf das übergeordnete Werk: | Advanced materials (Deerfield Beach, Fla.) |
Schlagworte: | Journal Article Cu nanoshells DNA detection biosensors naked-eye detection norovirus |
Zusammenfassung: | © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. One of the most heavily used methods in chemical and biological labeling, detection, and imaging is based on silver shell-based enhancement on Au nanoparticles (AuNPs) that is useful for amplifying Rayleigh scattering, colorimetric signal, surface-enhanced Raman scattering, and electrical signal, but poor structural controllability and nonspecific growth of silver shells have limited its applications, especially with respect to signal reproducibility and quantification. Here, a highly specific, well-defined Cu nanopolyhedral shell overgrowth chemistry is developed with the aid of polyethyleneimine (PEI) on AuNPs, and the use of this PEI-mediated Cu polyhedral nanoshell (CuP) chemistry is shown as a means of light-scattering signal enhancement for the development of naked-eye-based highly sensitive and quantitative detections of DNA and viruses. Remarkably, these CuPs are exclusively formed on AuNPs in a controllable manner, with no noticeable nonspecific CuP growth. The findings enable to acquire clearly visible signals without analytic instrumentation, detectable down to 8 × 10-15 m of DNA (anthrax sequence) and 2700 copies of viruses (noroviruses in clinical stool samples) with broad dynamic ranges on archetypal assay platforms. This new method provides a general platform in controlling Cu shell nanostructures and their optical signals, and opens up revenues for highly reliable, quantitative onsite naked-eye biodetection |
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Beschreibung: | Date Completed 18.07.2018 Date Revised 01.10.2020 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
ISSN: | 1521-4095 |
DOI: | 10.1002/adma.201702945 |