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Название: Advanced Large-Scale Nanofabrication Route for Ultrasensitive SERS Platforms Based on Precisely Shaped Gold Nanostructures
Авторы: Akil, S.
Omar, R.
Kuznetsov, D.
Shur, V.
Naciri, A. E.
Jradi, S.
Дата публикации: 2021
Издатель: MDPI AG
MDPI AG
Библиографическое описание: 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.
Аннотация: 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.
Ключевые слова: ADVANCED NANOCOMPOSITES
LARGE AREA
NANOFABRICATION
SELF-ASSEMBLY
SENSORS
URI: http://elar.urfu.ru/handle/10995/112230
Условия доступа: info:eu-repo/semantics/openAccess
Идентификатор РИНЦ: 46914831
Идентификатор SCOPUS: 85109530118
Идентификатор WOS: 000676537200001
Идентификатор PURE: 22820420
ISSN: 2079-4991
DOI: 10.3390/nano11071806
Сведения о поддержке: 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).
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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