Single Unlabeled Protein Detection on Individual Plasmonic Nanoparticles

Ament, Irene; Prasad, Janak; Henkel, Andreas; Schmachtel, Sebastian; Sönnichsen, Carsten

doi:10.1021/nl204496g

Cited by 307 publications

(370 citation statements)

References 35 publications

(46 reference statements)

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“…The MNPBEM code developed by Hohenester and Trügler [89][90][91], which in recent years has been extensively used for the simulation of plasmonic nanoparticles [92][93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108], is used for these simulations. Further details can be found in Sec.…”

Section: Numerical Methods and Theorymentioning

confidence: 99%

Localized Plasmonic Resonances of Prolate Nanoparticles in a Symmetric Environment: Experimental Verification of the Accuracy of Numerical and Analytical Models

et al. 2018

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We study the evolution of the surface-plasmon resonances of individual ion-beam-shaped prolate gold nanoparticles embedded in a dielectric SiO 2 environment by electron-energy-loss spectroscopy mapping in a scanning transmission electron microscope. The controlled symmetric dielectric environment obtained through the ion-beam-shaping method allows a direct quantitative comparison with numerical results obtained through simulations (auxiliary differential-equation finite-difference time-domain and boundary-element method) and with theoretical results obtained through analytical models (quasistatic model for prolate nanoellipsoids and waveguide model for infinite one-dimensional plasmonic waveguides), with which our experimental results are in very good agreement. We confirm the accuracy of state-of-the-art numerical tools and analytical theories that establish ion-beam shaping as a very promising method to design metal-dielectric nanocomposites with well-predicted optical properties, and with many possible applications in surfaceenhanced Raman spectroscopy and second-harmonic generation, as well as in conventional applications of metamaterials like negative refraction, superimaging, and invisibility cloaking.

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Section: Numerical Methods and Theorymentioning

confidence: 99%

Localized Plasmonic Resonances of Prolate Nanoparticles in a Symmetric Environment: Experimental Verification of the Accuracy of Numerical and Analytical Models

et al. 2018

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“…We also provide a robust numerical protocol for calculating and normalizing QNMs [8,9]. For metallic resonators of regular shapes and sizes (like for the examples shown here), it just consumes a few minutes to obtain a QNM with a low speed computational workstation equipped with a finite element software.…”

Section: Comparison Of the Present Master Equation With The Quasi-stamentioning

confidence: 99%

Simple Analytical Expression for the Peak-Frequency Shifts of Plasmonic Resonances for Sensing

2015

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We derive a closed-form expression that accurately predicts the peak frequency-shift and broadening induced by tiny perturbations of plasmonic nanoresonators without critically relying on repeated electrodynamic simulations of the spectral response of nanoresonator for various locations, sizes or shapes of the perturbing objects. The force of the present approach, in comparison with other approaches of the same kind, is that the derivation is supported by a mathematical formalism based on a rigorous normalization of the resonance modes of nanoresonators consisting of lossy and dispersive materials. Accordingly, accurate predictions are obtained for a large range of nanoparticle shapes and sizes, used in various plasmonic nanosensors, even beyond the quasistatic limit. The expression gives quantitative insight, and combined with an open-source code, provides accurate and fast predictions that are ideally suited for preliminary designs or for interpretation of experimental data. It is also valid for photonic resonators with large mode volumes. KEYWORDS: refractive index sensing, surface plasmon resonance, quasi normal mode, nanoparticle, plasmonics Introduction. In recent years, metallic nanoparticles have gained a lot of attention and also witnessed successful applications in various fields of nanosciences. As their near-fields support strong and highly-confined resonances, metallic nanoparticles can effectively convert local changes of refractive index into frequency shifts of the resonance.

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“…By a synthetic engineering of the plasmon field, the sensitivity has now reached the detection level of a single molecule and a unique binding event [4][5][6][7]. The development of sensitive plasmonic assays and the understanding of their optical responses was largely fostered by a precise knowledge of the morphology of the sensor.…”

Section: Introductionmentioning

confidence: 99%

Influence of an Electron Beam Exposure on the Surface Plasmon Resonance of Gold Nanoparticles

2013

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Electron beam imaging is a common technique used for characterizing the morphology of plasmonic nanostructures. During the imaging process, the electron beam interacts with traces of organic material in the chamber and produces a well-know layer of amorphous carbon over the specimen under investigation. In this paper, we investigate the effect of this carbon adsorbate on the spectral position of the surface plasmon in individual gold nanoparticles as a function of electron exposure dose. We find an optimum dose for which the plasmonic response of the nanoparticle is not affected by the imaging process. The final publication is available at

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Single Unlabeled Protein Detection on Individual Plasmonic Nanoparticles

Cited by 307 publications

References 35 publications

Localized Plasmonic Resonances of Prolate Nanoparticles in a Symmetric Environment: Experimental Verification of the Accuracy of Numerical and Analytical Models

Localized Plasmonic Resonances of Prolate Nanoparticles in a Symmetric Environment: Experimental Verification of the Accuracy of Numerical and Analytical Models

Simple Analytical Expression for the Peak-Frequency Shifts of Plasmonic Resonances for Sensing

Influence of an Electron Beam Exposure on the Surface Plasmon Resonance of Gold Nanoparticles

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