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http://elar.urfu.ru/handle/10995/112230
Title: | Advanced Large-Scale Nanofabrication Route for Ultrasensitive SERS Platforms Based on Precisely Shaped Gold Nanostructures |
Authors: | Akil, S. Omar, R. Kuznetsov, D. Shur, V. Naciri, A. E. Jradi, S. |
Issue Date: | 2021 |
Publisher: | MDPI AG MDPI AG |
Citation: | Advanced Large-Scale Nanofabrication Route for Ultrasensitive SERS Platforms Based on Precisely Shaped Gold Nanostructures / S. Akil, R. Omar, D. Kuznetsov et al. // Nanomaterials. — 2021. — Vol. 11. — Iss. 7. — 1806. |
Abstract: | One of the key issues for SERS-based trace applications is engineering structurally uniform substrates with ultrasensitivity, stability, and good reproducibility. A label-free, cost-effective, and reproducible fabrication strategy of ultrasensitive SERS sensors was reported in this work. Herein, we present recent progress in self-assembly-based synthesis to elaborate precisely shaped and abundant gold nanoparticles in a large area. We demonstrated that shape control is driven by the selective adsorption of a cation (Na+, K+, and H+) on a single facet of gold nanocrystal seeds during the growth process. We studied SERS features as a function of morphology. Importantly, we found a correlation between the shape and experimental SERS enhancement factors. We observed a detection threshold of 10−20 M of bipyridine ethylene (BPE), which matches the lowest value determined in literature for BPE until now. Such novel sensing finding could be very promising for diseases and pathogen detection and opens up an avenue toward predicting which other morphologies could offer improved sensitivity. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. |
Keywords: | ADVANCED NANOCOMPOSITES LARGE AREA NANOFABRICATION SELF-ASSEMBLY SENSORS |
URI: | http://elar.urfu.ru/handle/10995/112230 |
Access: | info:eu-repo/semantics/openAccess |
RSCI ID: | 46914831 |
SCOPUS ID: | 85109530118 |
WOS ID: | 000676537200001 |
PURE ID: | 22820420 |
ISSN: | 2079-4991 |
DOI: | 10.3390/nano11071806 |
metadata.dc.description.sponsorship: | Funding: This research was funded by C2MP doctoral school and FEDER “Fond Européen de Développement Regional” and “Région Grand-Est” are acknowledged for their financial support (Pronano project). |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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File | Description | Size | Format | |
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2-s2.0-85109530118.pdf | 5,5 MB | Adobe PDF | View/Open |
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