Particle size analysis

Barth, Howard G.; Sun, Shao Tang.

doi:10.1021/ac00282a009

Cited by 40 publications

(16 citation statements)

References 13 publications

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“…Measure the time correlation function of scattered light intensity for 30 s by initiating the operation of the correlator via a computer. The measured correlation function is often expressed as g (2) (t) -1, where t is the correlation time 4 and . Here,…”

Section: Optimization Of the Instrumentmentioning

confidence: 99%

“…The decay time will be approximately 0.1 ms. 9. Adjust the focal point to obtain a wide range for the initial amplitude of the time correlation function (g (2) (t = 0) -1).…”

Section: I(t) Is the Scattered Light Intensity At The Time T And (•••)mentioning

confidence: 99%

“…Particle sizes of 1.0 µm or larger can be measured directly using an optical microscope. For smaller particles, alternative techniques, such as laser diffraction, electron microscopy, or atomic force microscopy, are used 2,3 . Dynamic light scattering is a commonly-used technique for the measurement of particle size distributions in solutions 4 .…”

Section: Introductionmentioning

confidence: 99%

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Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Hiroi

Shibayama

2017

JoVE

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A protocol for measuring polydispersity of concentrated polymer solutions using dynamic light scattering is described. Dynamic light scattering is a technique used to measure the size distribution of polymer solutions or colloidal particles. Although this technique is widely used for the assessment of polymer solutions, it is difficult to measure the particle size in concentrated solutions due to the multiple scattering effect or strong light absorption. Therefore, the concentrated solutions should be diluted before measurement. Implementation of the confocal optical component in a dynamic light scattering microscope 1 helps to overcome this barrier. Using such a microscopic system, both transparent and turbid systems can be analyzed under the same experimental setup without a dilution. As a representative example, a size distribution measurement of a temperature-responsive polymer solution was performed. The sizes of the polymer chains in an aqueous solution were several tens of nanometers at a temperature below the lower critical solution temperature (LCST). In contrast, the sizes increased to more than 1.0 µm when above the LCST. This result is consistent with the observation that the solution turned turbid above the LCST.

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Section: Optimization Of the Instrumentmentioning

confidence: 99%

“…The decay time will be approximately 0.1 ms. 9. Adjust the focal point to obtain a wide range for the initial amplitude of the time correlation function (g (2) (t = 0) -1).…”

Section: I(t) Is the Scattered Light Intensity At The Time T And (•••)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Hiroi

Shibayama

2017

JoVE

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“…PCS, also referred to as quasi-elastic or dynamic light scattering (QELS or DLS), is routinely used to obtain particle size or size distribution information from the time-dependent fluctuations of scattered light intensity caused by concentration fluctuations (Brownian motion) of particles [6,7]. It has been widely used for particle size determination in the sub-micrometer range [8].…”

Section: Introductionmentioning

confidence: 99%

Particle speciation analysis of inorganic polymer flocculants: an examination by photon correlation spectroscopy

Wang

Tang

Cao

2000

Colloids and Surfaces A: Physicochemical and Engineering Aspect

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The particle size distribution for two typical kinds of inorganic polymer flocculants is characterized comparatively by using photon correlation spectroscopy (PCS). The experimental results indicate that there exists large difference in particle speciation distribution between PFCl and PACl prepared under similar conditions. The particle size of PFCl samples range in a narrow distribution. Their mean effective hydrodynamic diameters calculated by translational diffusion coefficient are between 5 and 11 nm. For PACl samples at certain basicity, no visible particle species can be determined. At high basicity, both laboratory prepared and commercial products, show a bimodal distribution: one in 2-5 nm and the other ranges in several decades of nm with wide distribution. The latter may be colloidal aluminum hydroxide and also some aggregates of polymers.

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“…If a plane incident wave of known wavelength and state of polarization and a known medium surrounding the particle are assumed, the particle can be completely described using its radius r and refractive index n. In the scattering geometry considered in the present study (see Figure 1), the intensity of the light scattered by the particle is measured in one plane only and can, therefore, be described by a function of the scattering angle I 1´θ µ ϕ´θ r nµ (1) where θ is defined as the angle between the direction of propagation of the incident wave and the direction of observation. This arrangement leads to a one-dimensional scattering pattern which is representative of the properties of the particle and has been used as a basis for characterization of single particles and particle distributions in both routine and research applications [1,2,3,4,5,7,8,12].…”

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confidence: 99%

Using Global Optimization for a Microparticle Identification Problem with Noisy Data

2005

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We report some experience with optimization methods applied to an inverse light scattering problem for spherical, homogeneous particles. Such particles can be identified from experimental data using a least squares global optimization method. However, if there is significant noise in the data, the "best" solution may not correspond well to the "actual" particle. We suggest a way in which the original least squares solution may be improved by using a constrained optimization calculation which considers the position of peaks in the data. This approach is applied first to multiangle data with varying amounts of artificially introduced noise and then to examples of single-particle experimental data patterns characterized by high noise levels.

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Particle size analysis

Cited by 40 publications

References 13 publications

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Measurement of Particle Size Distribution in Turbid Solutions by Dynamic Light Scattering Microscopy

Particle speciation analysis of inorganic polymer flocculants: an examination by photon correlation spectroscopy

Using Global Optimization for a Microparticle Identification Problem with Noisy Data

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