Topics in Particle and Dispersion Science

Literature survey: 15 October 2007

• Light scattering and absorption by particles: Fundamental problems and models
  • Computational tools
    • Continued boundary condition method (CBCM) for solving electromagentic scattering problems on arbitrarily shaped particles (Kyurkchan A and Smirnova 2007)
    • FDTD/T-matrix hybrid method enables modeling of light scattering by anisotropic and inhomogeneous particles (Loke VLY et al 2007)
    • Matlab tools for the calculation light scattering using either Mie theory or the T-matrix method (Nieminen TA et al 2007)
      See also Mätzler C 2002b, 2002a for Matlab Mie code
    • DDA programs: Review of their features and coparison of results with exact techniques (Penttilä A et al 2007)
  • Computational/experimental studies
    • Electromagnetic scattering and absorption by a single fractal soot aggregate realization represent well their mean values obtained by averaging over many realizations of the aggregate with the same fractal parameters (Liu L and Mishchenko 2007)
    • Phase function and degree of linear polarization of Gaussian-random-sphere particle dispersions compared to equal-volume size-distributed spheres, as studies with DDA (Muinonen K et al 2007)
    • Surface roughness effects on light scattering by wavelength-size particles: The larger the particle, the smaller the roughness elements need to be in relation to the wavelength to be invisible to the incident field (Nousiainen T and Muinonen 2007)
      See also: Latimer P 1984b, 1984a
    • Radiation from dipoles embedded in dielectric particles, as studied with FDTD (Li C et al 2007)
      See also Chew H et al 1976
    • Light scattering by coated particles as solved with the pattern equation method (Kyurkchan A et al 2007)
      See also Kyurkchan A and Demin 2004 for PEM used for axisymmetric objects
    
    
    • Geometric optics
      • Angular scattering patterns for large randomly oriented spheroids (as models of red blood cells) calculated with geometric optics (Lugovtsev AE et al 2007b)
        See also Lugovtsev AE et al 2007a
      • Scattering matrix of Saharan dust particles: Geometric optics simulations fail to reproduce experimental results (Muņoz O et al 2007)
  • Plasmons
    • Light scattering by nanoparticles and nanowires near plasmon resonance frequencies in weakly dissipating materials: Non-Rayleigh anomalous light scattering near plasmon resonance (Lukyanchuk BS et al 2007)
      See also: Lukyanchuk BS et al 2006
    • See also a review of the enhancement of the radiative properties of noble metal nanoparticles resulting from the surface plasmon oscillations and its applications (Eustis S and El-Sayed 2006) and sensing applications of nanoparticles
  • Whispering gallery modes (WGM)
    • Whispering gallery mode (WGM) resonators as frequency standards: Limitations (Matsko AB et al 2007)
    • Use of whispering gallery modes to detect orientation of protein molecules adsorbed onto a silicon nanosphere (Noto M et al 2007)
      See also: Teraoka I and Arnold 2006 and the use of surface plasmons to detect adsorption of molecules onto a functionalized surface of a silica-core/gold-shell nanosphere: Khlebtsov BN and Khlebtsov 2007a
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• Instrumentation
  • Sensors
    • Detecting the orientation of protein molecules adsorbed onto a silicon nanosphere
  • Light scattering and absorption measurements
    • Polar nephelometer: a simple sample chamber design (Lotsberg JK et al 2007)
    • Measurements of the complete scattering matrix (wavelength of 632.8 nm, scattering angle 4° to 174°) as a function of the scattering angle of a sample of Sahara sand particles collected from a dune in Libya (Muņoz O et al 2007)
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• Material properties
  • Model for viscosity of aqueous solutions (Laliberté M 2007a, see also errata)
  • Materials with a negative refractive index
    • Material with a negative refractive index in the visible wavelength range (Lezec HJ et al 2007)
    • Negative refractive index materials at the microwave wavelength range (Ozbay E et al 2007)
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• Particle/cell/dispersion properties
  • Physical bases of cell elasticity: cell as a glassy material (Trepat X et al 2007)
  • Measurement of refractive index of isotropic particles (Niskanen I et al 2007b)
  • Gold nanoparticles: Diameter of the maximum light scattering and absorption efficiencies as a function of the wavelength of light (Popov AP et al 2007)
  • Aerosols
    • Three spherical-derived aerosol types (describing fine-sized dominated aerosol) and one spheroid-derived type (describing coarse-sized dominated aerosol, presumably dust) generally describe the range of AERONET-observed global aerosol properties (Levy RC et al 2007)
  • Phytoplankton
    • Volume scattering function of phytoplankton: Laboratory measurements (Lotsberg JK et al 2007)
  • Seawater
    • Absorption and fluorescence of marine microgels (Orellana MV et al 2007)
      See also formation of microgels in seawater: Chin WC et al 1998
  • Transition from molecules to particles
    • Effect of particle size (~ 1 nm) on optical excitation of cadmium sulfide particles (Frenzel J et al 2007)
      See also Frenzel J 2007
    • Effect of particle size on the particle material properties: Small is different (Hodes G 2007, see also errata)
    • See also Roduner E 2006 and effect of electron free pathlength on the refractive index
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• Particle size distribution (PSD)
  • Particle size distribution of comet dust inferred from fitting optical properties
  • Effect of the particle size grid on modeling aerosol transport (Menut L et al 2007)
  • Sampling errors due to the discretness of particles and particle segregation for free-flowing powder: Dependence on the minimum mass and minimum number of sample (Merkus HG 2007)
  • Sedimentation
    • Model for viscosity of aqueous solutions
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• Particle trapping and manipulation
  • Optical methods
    • 3D optical fiber trap for cells (Liu Y and Yu 2007)
    • Single, tapered-fiber optical trap (single-tapered: Liu Zhihai et al 2007)
    • Brownian motion of a particle in an optical trap: Characterization and use for the trapping force calibration (Lukić B et al 2007)
    • Matlab tools for the calculation of optical forces and torques in optical tweezers, for both spherical and nonspherical particles, in Gaussian and other beams (Nieminen TA et al 2007)
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• Tailored and standard particles
  • Size and shape controlled synthesis of copper nanoparticles (Mott D et al 2007)
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• Turbid media: Radiative transfer (RT) and optical properties
  • Applicability of the single-scattering approximation: Particle volume concentration should be smaller than 1% and (2π/λ_med)<d> should be greater than 30, where λ_med is the wavelength in the medium surrounding the particles and <d> is the average distance between the particle centers (Mishchenko MI et al 2007c)
  • Optical properties of cometary dust can be explained by assuming that the dust particles are size-distributed, moderately absorbing, irregularly shaped, and compact (Moreno F et al 2007)
  • Accuracy of computations of multiple light scattering by non-spherical particles (Karjukin VV 2007)
  • Ratio of the particle backscattering coefficient to scattering coefficient for coastal seawater: Its variability is related to the composition of the suspension as specified by the concentrations of chlorophyll a, particulate organic carbon, and particle concentration (Loisel H et al 2007)
    See also Stramski D et al 2004
  • Light absorption and scattering coefficients of multi-layered tissue determined by fitting the time dependence of a diffusely-reflected light pulse using the Levenberg-Marquardt algorithm and multi-layered Monte Carlo simulation (Ma Z et al 2007)
  • Absorption and scattering coefficients, and effective scattering phase function of human red blood cells (RBCs): Dependence on hematocrit (Meinke MC et al 2007b)
  • Contributions of scattering orders to deviations from the Lambert law (Berrocal E et al 2007)
• Turbid media: Optical imaging
  • Contributions of ligh scattering orders to images transmitted through turbid medium are idenfitied with a Monte Carlo simulation technique (Meglinski IV et al 2007)
    See also Berrocal E et al 2007, 2006

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Modified: 17-Oct-2007