Particle Size Distribution of Bimodals : A Comparative Study of Submicron Sizing Instrumentation

Finsy, Robert; Laethem, Marc Van; Jaeger, Nicolas De; Sneyers, Rik; Vanderdeelen, Jean; Meeren, Paul Van der; Demeyere, Hugo; Geladé, E.

doi:10.1016/b978-0-7506-1106-0.50033-3

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…For monodisperse samples of homogeneous spherical particles the procedure is fairly straightforward and poses no serious problems. However, with polydisperse samples the ill-conditioned nature (in a mathematical sense) of the Laplace inversion is reflected in the fact that the resulting size distributions depend very sensitively on the data and on the inversion method used [6]. Since the scattering power of submicron-and micron-sized particles is strongly dependent on scattering angle and particle size, it may happen that the fraction of particles of a certain size class in a polydisperse specimen is hardly detectable at a given angle, whereas it dominates the scattering at another angle.…”

Section: Introductionmentioning

confidence: 99%

Data Analysis of Multi‐Angle Photon Correlation measurements without and with prior knowledge

Finsy

Groen

Deriemaeker

et al. 1992

Part & Part Syst Charact

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The application of the singular value analysis and reconstruction method (SVR) and of the Contin method for the collective analysis of multi‐angle noisy photon correlation data sets was investigated. Provided the data are sampled equidistant in time and by proper tuning of the sampling time to the scattering angle, a collective multi‐angle SVR analysis is feasible. For homogeneous spherical particles such an analysis does not require any prior knowledge of the angular dependence of particle scattering power (e.g. Mie scattering). SVR allows the information content to be separated from noisy intensity autocorrelation data. It is illustrated that the multi‐angle SVR analysis enhances the recovery of the information content. Moreover, SVR can be used as a fast and accurate preprocessor for extracting the field autocorrelation function for a subsequent Contin analysis whereby prior knowledge of particle scattering power as a function of scattering angle is used as a constraint. Compared with the data analysis of multi‐angle time‐averaged scattered intensity measurements, the information that can be extracted from multi‐angle PCS data in comparable accumulation times is poorer.

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Section: Introductionmentioning

confidence: 99%

Data Analysis of Multi‐Angle Photon Correlation measurements without and with prior knowledge

Finsy

Groen

Deriemaeker

et al. 1992

Part & Part Syst Charact

Self Cite

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Field‐Flow Fractionation in Particle Size Analysis

Janča

2000

Encyclopedia of Analytical Chemistry

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Field‐flow fractionation (FFF) is an analytical methodology suitable for the separation and characterization of macromolecules within a wide range of molar masses, and for particles in submicrometer and micrometer ranges. The separation is based on the action of effective physical or chemical forces across the separation channel. The field forces interact with the separated species and concentrate them at the appropriate position inside the channel. The resulting concentration gradient induces an opposite diffusion flux. This process leads to a quasi‐steady‐state distribution of the affected sample components across the channel. The velocity of the longitudinal flow of the carrier liquid also varies across the channel. A parabolic flow velocity profile is usually established inside the channel. The components of the separated sample are transported in the longitudinal direction inside the channel at different velocities, depending on the transverse positions of the zones of the sample components within the flow of the carrier liquid. The separation is performed in one liquid phase. This is of fundamental importance for the fractionation and particle size analysis of biological samples, which can be sensitive to the type and intensity of the interaction with the surfaces and can denaturate. Steady‐state inside the channel is usually reached within a short time due to a small channel thickness. The simplicity of the channel construction permits an accurate description of the separation processes. The field strength can be controlled over a wide range. Many operational variables in FFF can be manipulated during the experiment by suitable programming. Accurate analytical results can be obtained from FFF by correct treatment and interpretation of the experimental data. If the relationship between the retention parameters and the characteristics of the separated particles is known, or can be predetermined by using an appropriate calibration procedure, the characteristics of an unknown analyzed sample can be evaluated quantitatively. The particle size distribution (PSD) of the analyzed sample then is determined from a fractogram.

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Particle Size Distribution of Bimodals : A Comparative Study of Submicron Sizing Instrumentation

Cited by 2 publications

References 2 publications

Data Analysis of Multi‐Angle Photon Correlation measurements without and with prior knowledge

Data Analysis of Multi‐Angle Photon Correlation measurements without and with prior knowledge

Field‐Flow Fractionation in Particle Size Analysis

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