2023
DOI: 10.1016/j.powtec.2022.118033
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Particle size distribution recovery from non-Gaussian intensity autocorrelation functions obtained from dynamic light scattering at ultra-low particle concentrations

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Cited by 5 publications
(4 citation statements)
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“…The particle size and zeta potential were fitted by Gaussian normal distribution, and the results showed that R 2 was greater than 0.9, indicating the reliability of the data. 23 The above results show that the SBSI latex has a stronger repulsive force and hydrophilicity, thereby preventing the agglomeration between the dispersed particles, which also confirms the dispersion state of the two latexes in Figure 5a,b.…”
Section: Mechanical Property Measurementsupporting
confidence: 77%
“…The particle size and zeta potential were fitted by Gaussian normal distribution, and the results showed that R 2 was greater than 0.9, indicating the reliability of the data. 23 The above results show that the SBSI latex has a stronger repulsive force and hydrophilicity, thereby preventing the agglomeration between the dispersed particles, which also confirms the dispersion state of the two latexes in Figure 5a,b.…”
Section: Mechanical Property Measurementsupporting
confidence: 77%
“…A lower relaxation time ( τ ) under illumination indicates more efficient exciton dissociation at the heterojunction interface and a faster charge transport process, leading to an excellent responsiveness of the heterojunction. 31 Fig. 7b shows a slightly asymmetric curve, which may be due to the superposition of several peaks corresponding to the distributions of associated relaxation times.…”
Section: Resultsmentioning
confidence: 96%
“…The analysis of the experimental DLS data consists in finding the set of values Ii -τi that allows reconstructing the experimental ACF with the best statistical quality. The particle sizes are obtained from the values of τ using equation (5).…”
Section: Data Availability Statementmentioning
confidence: 99%
“…The main difficulty in solving such inverse tasks is that different solutions may give comparable fits to experimental data. A number of algorithms were developed in this area [4,5] (and references in this articles) and equipment manufacturers provide their own closed software. Nevertheless, the scientist is often left alone with the DLS instrument without a chance to compare different statistically similar solutions.…”
Section: Introductionmentioning
confidence: 99%