47 research outputs found

    Boosting the Figure Of Merit of LSPR-based refractive index sensing by phase-sensitive measurements

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    Localized surface plasmon resonances possess very interesting properties for a wide variety of sensing applications. In many of the existing applications only the intensity of the reflected or transmitted signals is taken into account, while the phase information is ignored. At the center frequency of a (localized) surface plasmon resonance, the electron cloud makes the transition between in- and out-of-phase oscillation with respect to the incident wave. Here we show that this information can experimentally be extracted by performing phase-sensitive measurements, which result in linewidths that are almost one order of magnitude smaller than those for intensity based measurements. As this phase transition is an intrinsic property of a plasmon resonance, this opens up many possibilities for boosting the figure of merit (FOM) of refractive index sensing by taking into account the phase of the plasmon resonance. We experimentally investigated this for two model systems: randomly distributed gold nanodisks and gold nanorings on top of a continuous gold layer and a dielectric spacer and observed FOM values up to 8.3 and 16.5 for the respective nanoparticles

    Particles and fields in fluid turbulence

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    The understanding of fluid turbulence has considerably progressed in recent years. The application of the methods of statistical mechanics to the description of the motion of fluid particles, i.e. to the Lagrangian dynamics, has led to a new quantitative theory of intermittency in turbulent transport. The first analytical description of anomalous scaling laws in turbulence has been obtained. The underlying physical mechanism reveals the role of statistical integrals of motion in non-equilibrium systems. For turbulent transport, the statistical conservation laws are hidden in the evolution of groups of fluid particles and arise from the competition between the expansion of a group and the change of its geometry. By breaking the scale-invariance symmetry, the statistically conserved quantities lead to the observed anomalous scaling of transported fields. Lagrangian methods also shed new light on some practical issues, such as mixing and turbulent magnetic dynamo.Comment: 165 pages, review article for Rev. Mod. Phy

    Frequency and prognostic impact of antibodies to aquaporin-4 in patients with optic neuritis.

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    BACKGROUND: Antibodies to aquaporin-4 (AQP4-Ab) are found in 60-80% of patients with neuromyelitis optica (NMO), a severely disabling inflammatory CNS disorder of putative autoimmune aetiology, which predominantly affects the optic nerves and spinal cord. OBJECTIVE: To assess the frequency of AQP4-Ab in patients with optic neuritis (ON), and to investigate the prognostic implications of AQP4-Ab seropositivity in such patients. PATIENTS AND METHODS: AQP4-Ab serum levels were determined in 224 individuals from Austria, Denmark, France, Germany, Italy, and Turkey using a newly developed fluorescence immunoprecipitation assay employing recombinant human AQP4. RESULTS: AQP4-Ab were detectable in 8/139 (5.8%) patients with acute monosymptomatic optic neuritis (AMON) and in 10/17 (58.8%) patients with established NMO and a last relapse of acute ON (NMO/ON), but not in 32 patients with multiple sclerosis or in 36 healthy controls. At last examination, 4/8 (50%) seropositive AMON patients had met the criteria for NMO but 0/128 seronegative AMON patients. Disease severity differed significantly between seropositive and seronegative AMON. Complete bilateral or unilateral blindness occurred in six AQP4-Ab positive patients, but only in one AQP4-Ab negative patient. AQP4-Ab levels did not vary between seropositive AMON and NMO/ON and did not correlate with disease severity. Female gender, a relapsing course, and concomitant autoimmunity were associated with AQP4-Ab seropositive status and risk of developing NMO. CONCLUSION: AQP4-Ab is relatively rare among patients with AMON, but if present it predicts a high rate of conversion to NMO within one year
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