Optical characterization of single plasmonic nanoparticles

Olson, Jana; Domínguez-Medina, Sergio; Hoggard, Anneli; Wang, Lin-Yung; Chang, Wei-Shun; Link, Stephan

doi:10.1039/c4cs00131a

Cited by 366 publications

(332 citation statements)

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“…In addition, the nanoparticles used in these systems are inherently inhomogeneous: varying in size, shape, and radius of curvature. Although the effects of inhomogeneity have been investigated at the individual nanoparticle level (15,16), the effects of inhomogeneity on plasmonic assemblies are not as well understood. Determining the defect resilience of emergent properties is crucial for the continued development of scalable nanomaterial devices with reproducible properties.…”

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confidence: 99%

Defect tolerance and the effect of structural inhomogeneity in plasmonic DNA-nanoparticle superlattices

Ross

Blaber

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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Bottom-up assemblies of plasmonic nanoparticles exhibit unique optical effects such as tunable reflection, optical cavity modes, and tunable photonic resonances. Here, we compare detailed simulations with experiment to explore the effect of structural inhomogeneity on the optical response in DNA-gold nanoparticle superlattices. In particular, we explore the effect of background environment, nanoparticle polydispersity (>10%), and variation in nanoparticle placement (∼5%). At volume fractions less than 20% Au, the optical response is insensitive to particle size, defects, and inhomogeneity in the superlattice. At elevated volume fractions (20% and 25%), structures incorporating different sized nanoparticles (10-, 20-, and 40-nm diameter) each exhibit distinct far-field extinction and near-field properties. These optical properties are most pronounced in lattices with larger particles, which at fixed volume fraction have greater plasmonic coupling than those with smaller particles. Moreover, the incorporation of experimentally informed inhomogeneity leads to variation in far-field extinction and inconsistent electric-field intensities throughout the lattice, demonstrating that volume fraction is not sufficient to describe the optical properties of such structures. These data have important implications for understanding the role of particle and lattice inhomogeneity in determining the properties of plasmonic nanoparticle lattices with deliberately designed optical properties.T he rational arrangement of nanoparticles in multiple dimensions is a promising means for creating materials with novel properties not found in nature. Noble metal nanoparticles are interesting material building blocks due to their ability to amplify local fields by orders of magnitude and scatter light well below the diffraction limit. These efficient interactions with visible light are due to localized surface plasmon resonances (LSPRs), the collective oscillation of conduction electrons (1). Hierarchical arrangements of plasmonic nanoparticles have become the basis for colorimetric sensors (2, 3), subdiffraction limited waveguides (4), visible light metamaterials (5), and nanoscale lasing devices (6, 7), and the ability to adjust architecture in such materials has led to a wide variety of structures with tunable and unusual optical properties (8-12). Many of these technologies leverage the scalability and modularity of bottom-up assembly techniques, which use chemically synthesized colloidal nanoparticles as building blocks (13,14). Unfortunately, all nanoparticle assembly techniques result in materials with structural defects across multiple length scales, including imprecise particle placement, grain boundaries, and variation in crystallite size. In addition, the nanoparticles used in these systems are inherently inhomogeneous: varying in size, shape, and radius of curvature. Although the effects of inhomogeneity have been investigated at the individual nanoparticle level (15, 16), the effects of inhomogeneity on plasmonic assemblies are...

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confidence: 99%

Defect tolerance and the effect of structural inhomogeneity in plasmonic DNA-nanoparticle superlattices

Ross

Blaber

et al. 2015

Proc. Natl. Acad. Sci. U.S.A.

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“…T he uniqueness of nanoparticles (NPs) attributed to their properties not found in bulk size is widely documented [1][2][3][4][5][6][7][8][9][10][11]. Characterization with mass spectrometry is crucial for advancing a nuanced understanding of NP functionalities [12].…”

Section: Introductionmentioning

confidence: 99%

Mass Spectrometry of Nanoparticles is Different

Liang

Eller

Verkhoturov

et al. 2015

J. Am. Soc. Mass Spectrom.

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Abstract. Secondary ion mass spectrometry, SIMS, is a method of choice for the characterization of nanoparticles, NPs. For NPs with large surface-to-volume ratios, heterogeneity is a concern. Assays should thus be on individual nano-objects rather than an ensemble of NPs; however, this may be difficult or impossible. This limitation can be side-stepped by probing a large number of dispersed NPs one-by-one and recording the emission from each NP separately. A large collection of NPs will likely contain subsets of like-NPs. The experimental approach is to disperse the NPs and hit an individual NP with a single massive cluster (e.g., C-60, Au-400). At impact energies of~1keV/atom, they generate notable secondary ion (SI) emission. Examination of small NPs (≤20nm in diameter) shows that the SI emission is sizedependent and impacts are not all equivalent. Accurate identification of the type of impact is key for qualitative assays of core or outer shell composition. For quantitative assays, the concept of effective impacts is introduced. Selection of co-emitted ejecta combined with rejection (anticoincidence) of substrate ions allows refining chemical information within the projectile interaction volume. Last, to maximize the SI signal, small NPs (≤5nm in diameter) can be examined in the transmission mode where the SI yields are enhanced~10-fold over those in the (conventional) reflection direction. Future endeavors should focus on schemes acquiring SIs, electrons, and photons concurrently.

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“…These include gold nanoparticles, even within a cell matrix and for membrane receptor dynamics studies in live cells, 18,19 molecules, quantum dots or single walled carbon nanotubes. [19][20][21][22][23][24][25] Interestingly, PhI signal intensities can be correlated to the dimension 26 and concentration 27 of the nanoparticles under investigation, while quantitative optical imaging of individual nanotubes down to ~10 nm in length was possible. 28 In addition, PhI is totally unaffected by non-absorbing scatterers, even when large objects with strong refractive index contrast are present within the surroundings of the imaged nanoparticles, as it is often the case in biological samples.…”

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confidence: 99%