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  2. Particle size analysis - Wikipedia

    en.wikipedia.org/wiki/Particle_size_analysis

    Particle size analyzers are used also in biology to measure protein aggregation. Particle size distribution of antiviral vaccines subjected to cold-chain disruptions, analyzed by Dynamic Light Scattering (DLS) DLS is a particularly appreciated technique for the characterization of nanoparticles designed for drug delivery, such as vaccines.

  3. Particle-size distribution - Wikipedia

    en.wikipedia.org/wiki/Particle-size_distribution

    The Weibull distribution or Rosin–Rammler distribution is a useful distribution for representing particle size distributions generated by grinding, milling and crushing operations. The log-hyperbolic distribution was proposed by Bagnold and Barndorff-Nielsen [9] to model the particle-size distribution of naturally occurring sediments. This ...

  4. Laser diffraction analysis - Wikipedia

    en.wikipedia.org/wiki/Laser_diffraction_analysis

    Laser diffraction analysis has been used to measure particle-size objects in situations such as: observing distribution of soil texture and sediments such as clay and mud, with an emphasis on silt and the sizes of bigger samples of clay. [15] determining in situ measurements of particles in estuaries. Particles in estuaries are important as ...

  5. Sieve analysis - Wikipedia

    en.wikipedia.org/wiki/Sieve_analysis

    A sieve analysis (or gradation test) is a practice or procedure used in geology, civil engineering, [1] and chemical engineering [2] to assess the particle size distribution (also called gradation) of a granular material by allowing the material to pass through a series of sieves of progressively smaller mesh size and weighing the amount of material that is stopped by each sieve as a fraction ...

  6. Dynamic light scattering - Wikipedia

    en.wikipedia.org/wiki/Dynamic_light_scattering

    The particle size distribution can also be obtained using the autocorrelation function. However, polydisperse samples are not well resolved by the cumulant fit analysis. Thus, the combination of non-negative least squares (NNLS) algorithms with regularization methods, such as the Tikhonov regularization, can be used to resolve multimodal ...

  7. Nanoparticle tracking analysis - Wikipedia

    en.wikipedia.org/wiki/Nanoparticle_tracking_analysis

    Through analysis of the resultant exponential autocorrelation function, average particle size can be calculated as well as a polydispersity index. For multi-exponential autocorrelation functions arising from polydisperse samples, deconvolution can give limited information about the particle size distribution profile.

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