Seed-Mediated Synthesis of Gold Nanocrystals with Systematic Shape Evolution from Cubic to Trisoctahedral and Rhombic Dodecahedral Structures

Wu, Hao; Kuo, Chun Hong; Huang, Michael H.

doi:10.1021/la1015065

Cited by 298 publications

(332 citation statements)

References 34 publications

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“…38 For gold seeds, a 10 mL solution of 0.25 mM HAuCl 4 Au dendrites were electrodeposited on glassy carbon (GC) electrode following a published procedure. 34 Briefly, a GC electrode was firstly polished on a polishing cloth with 0.05 μm alumina slurry, followed by ultrasonication in ethanol and water for 10 min in sequence.…”

Section: Methodsmentioning

confidence: 99%

The Effect of Electrodeposition Parameters and Morphology on the Performance of Au Nanostructures for the Detection of As (III)

Ren

Jones

Chen

et al. 2017

J. Electrochem. Soc.

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A series of Au nanospikes and dendrites were electrodeposited with either an inorganic (Pb 2+ ) or organic (cysteine) growth directing agent for different times to obtain varied morphology. These structures were compared with gold nanoparticles of three different shapes (Octahedral, Cubic and Rhombic Dodecahedral) for detection of As (III) by Square Wave Anodic Stripping Voltammetry (SWASV). The sensitivity and limit of detection (LOD) was dependent on the surface crystallographic orientations and the morphology, with superior sensitivity confirmed with a maximum amount of Au (111) facets on the surface for the nanoparticles. XRD studies suggested that the shape directing influence of Pb 2+ is lost on the gold nanospikes at higher deposition time, and that the size of the (111) terraces on the polycrystalline surfaces decreased, which led to a loss of performance. For gold dendrites, as the cysteine maintained shape directing behavior through hierarchical dendritic branching, deposition time did not affect the sensitivity. The study confirms that electrodeposition parameters or nanoparticle synthesis methods for Au surfaces in arsenic sensing needs to be carefully controlled, to either maximize the (111) facets, or minimize the steps on a polycrystalline Au surface, and that inorganic and organic shape directing agents will have differing effects. Arsenic (As) is a naturally occurring toxic substance associated with adverse health effects, including mutagenicity and carcinogenity.1 Contamination of groundwater by arsenic has been reported in more than 20 countries 2 with a recommended 10 ppb upper limit for drinking water set by the World Health Organization (WHO).3 Arsenite (As (III)) is considered the most toxic form in natural water, while Arsenate (As (V)) is 50 times less poisonous and generally the most stable in oxidising conditions. 4-7 Anthropogenic emissions of arsenic from industrial effluents, combustion of fossil fuels, or mining of As containing ores are a significant source, as are natural origins such as As bearing minerals. 8,9 A variety of conventional laboratory analytical techniques are available for arsenic detection including atomic absorption/fluorescence spectrometry, surface enhanced Raman scattering (SERS), high performance liquid/gas chromatography and inductively coupled plasma mass spectrometry (ICPMS).10 However, there remains a need for detection methods that are economically competitive, due to prevalent As in remote regions of the developing world, and such methods must be accurate and convenient for technicians to conduct on-site analysis. Electrochemical methods are useful to this end, 11 and a large range of materials have been developed for electrochemical detection of arsenic. Gold-based materials have been studied extensively for electrochemical detection of Arsenic (As), with the technique of Anodic Stripping Voltammetry (ASV) offering excellent sensitivity and limit of detection.12 Nanostructured Au electrodes have been shown to have a lower limit of detection (LOD) and h...

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Section: Methodsmentioning

confidence: 99%

The Effect of Electrodeposition Parameters and Morphology on the Performance of Au Nanostructures for the Detection of As (III)

Ren

Jones

Chen

et al. 2017

J. Electrochem. Soc.

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“…Much progress has been made in enumerating and characterizing the packing of polyhedral shapes and the self-assembly of polyhedral nanocrystals into ordered superstructures [16]. New synthetic methods give access to a wide range of well-defined polyhedral nanocrystalline shapes and faceted nano-particles including cubes, truncated cubes, cuboctahedra, truncated octahedra and octahedra over a range of sizes from 100 to 300 nm [8,[17][18][19][20][21][22][23][24][25]. A few such polyhedral nanoparticles can be seen in fig.…”

Section: Convex Polyhedramentioning

confidence: 99%

Glassy dynamics of convex polyhedra

Tasios

Gantapara

Dijkstra

2014

The Journal of Chemical Physics

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Dedicated to my little sister.i Acknowledgments I would like to thank Marjolein Dijkstra and Anjan Gantapara for their patience and continuous help in the realization of this Thesis. I would also like to thank Djamel el Masri for sharing his knowledge of calculating the SISF.ii Abstract Self-assembly of polyhedral-shaped particles have attracted huge interest with the advent of new synthesis methods to realize these faceted particles in the lab. Recent studies have shown that polyhedral particles exhibit rich phase behavior by excluded volume interactions alone. Some of these particles are alleged to show a transition to a glass phase by quenching the liquid sufficiently fast beyond the glass transition (supercooling) such that the formation of structures with long-range order is suppressed. Despite the recent progress, no study has been made on the glass formation of polyhedral-shaped particles. Here we study the glassy behavior of polyhedral particles using advanced Monte Carlo methods. In the first part of this thesis the formation of glass by mono-disperse polyhedral particles, namely octahedra, tetrahedra and triangular cupola are discussed. At the end, the fragility of these particles is calculated and compared with that of other systems.In the second part of this thesis we performed preliminary calculations on binary mixtures of polyhedral particles. Possible candidate crystal structures are studied using the floppy box Monte Carlo method.iii

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“…In this sub-section numerical results, performed by full-wave simulations, are compared to the theoretical ones, obtained from the proposed model, and to the experimental values [20][21][22], for different geometrical parameter configurations, as reported in …”

Section: Comparison Between Analytical Model Numerical and Experimenmentioning

confidence: 99%

Nanoparticle Electromagnetic Properties for Sensing Applications

Spada¹,

Iovine²,

Vegni³

2012

ANP

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Nanoparticles play a crucial role in biomedical and sensing applications. In this paper the design of non-spherical gold nanoparticles, operating in the near infrared and visible regime, is proposed. The structures consist of metallic resonating inclusions of different shapes embedded in a dielectric environment. Different geometries, such as cube, elliptical cylinder and rod are considered. The main purpose of this study is to develop new analytical formulas useful in the nanoparticle design for specific biomedical and sensing applications. These analytical models are developed in order to describe the electromagnetic behavior of the nanoparticles in terms of resonant wavelength position, magnitude and amplitude width for absorption and scattering cross section. The obtained results are compared to the numerical ones, performed by full-wave simulations, and to the experimental values existing in literature. A good agreement among analytical, experimental and numerical results was obtained. Then, the structure is analyzed in terms of sensitivity properties. Exploiting the proposed analytical models, it is possible to design the nanostructures with the desired electromagnetic properties. The results show that these structures can be successfully applied for sensing applications.

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Seed-Mediated Synthesis of Gold Nanocrystals with Systematic Shape Evolution from Cubic to Trisoctahedral and Rhombic Dodecahedral Structures

Cited by 298 publications

References 34 publications

The Effect of Electrodeposition Parameters and Morphology on the Performance of Au Nanostructures for the Detection of As (III)

The Effect of Electrodeposition Parameters and Morphology on the Performance of Au Nanostructures for the Detection of As (III)

Glassy dynamics of convex polyhedra

Nanoparticle Electromagnetic Properties for Sensing Applications

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