1959
DOI: 10.1021/j150580a010
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The Interpretation of Abnormalities in the Log-Normal Distribution of Particle Size

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Cited by 33 publications
(14 citation statements)
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“…It has been suggested that distribution of particle size, particularly in processes of growth, usually obeys a log-normal distribution. 26 As shown in Figure 2a, the experimental distribution data fits nicely to a log-normal distribution, with a mean diameter of 42.6 nm, which is in line with the mean particle size of 33 nm as derived from the TEM image ( Figure 1). Light scattering depending on the wavelength used tends to give a larger average size than those of TEM results since a significantly larger measurement error is encountered in particle approaching critical size accounting for the observed size discrepancy.…”
Section: Resultssupporting
confidence: 81%
“…It has been suggested that distribution of particle size, particularly in processes of growth, usually obeys a log-normal distribution. 26 As shown in Figure 2a, the experimental distribution data fits nicely to a log-normal distribution, with a mean diameter of 42.6 nm, which is in line with the mean particle size of 33 nm as derived from the TEM image ( Figure 1). Light scattering depending on the wavelength used tends to give a larger average size than those of TEM results since a significantly larger measurement error is encountered in particle approaching critical size accounting for the observed size discrepancy.…”
Section: Resultssupporting
confidence: 81%
“…According to Irani [1,6], because of the removal of coarse/fine powders, the data points in a probability paper plot asymptotically approach a line parallel to the abscissa (the probability scaled axis), rather than fall onto a straight line as expected.…”
Section: Artificial Distributionmentioning
confidence: 99%
“…To eliminate or minimize the effect of removal of coarse/fine powders, Irani [1,6] suggested that the total weight should be a value greater than the weight of the corresponding truncated distribution. To determine this value, a reiteration method is employed: assuming a total weight, converting weight into weight percentage based on the assumed total weight, then graphing the converted weight percentage on a probability paper plot versus powder size, and assuming a new total weight and so on, until the data graphed on the probability paper plot satisfactorily fall onto a straight line.…”
Section: Artificial Distributionmentioning
confidence: 99%
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