2020
DOI: 10.1016/j.jallcom.2020.156134
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“Magic mitt”: Morphologically controllable AuAg@AuAg yolk-shell nanostars with better plasmonic optical properties

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Cited by 10 publications
(2 citation statements)
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“…[9][10][11][12] The highly tunable LSPR and strong localized fields of anisotropic branch structures make them particularly useful for plasmonics, surface-enhanced Raman scattering (SERS) detection and optical sensing applications. [13][14][15][16][17] Alternatively, AuNPs with branched structures have a relatively large extinction cross section in near-infrared, which is conducive to enhancing photothermal heating capacity, making them ideal candidates for diagnostic and therapeutic medical applications. [18][19][20][21][22] Therefore, it is especially important to accurately control the morphology, such as the branch number, dimensions and aspect ratio during the synthesis.…”
Section: Introductionmentioning
confidence: 99%
“…[9][10][11][12] The highly tunable LSPR and strong localized fields of anisotropic branch structures make them particularly useful for plasmonics, surface-enhanced Raman scattering (SERS) detection and optical sensing applications. [13][14][15][16][17] Alternatively, AuNPs with branched structures have a relatively large extinction cross section in near-infrared, which is conducive to enhancing photothermal heating capacity, making them ideal candidates for diagnostic and therapeutic medical applications. [18][19][20][21][22] Therefore, it is especially important to accurately control the morphology, such as the branch number, dimensions and aspect ratio during the synthesis.…”
Section: Introductionmentioning
confidence: 99%
“…It is well-known that noble metal nanostructures (such as gold and silver) have been extensively used in the preparation of SERS active substrates because of rough morphology and large enhancement factor (EF) [7]. Nevertheless, the noble metal materials suffer from some defects such as low reproducibility, high price, weak stability and poor biocompatibility.…”
Section: Introductionmentioning
confidence: 99%