Study on the sample size required for the estimation of mean particle diameter

Masuda, Hiroaki; Gotoh, Kuniaki

doi:10.1016/s0921-8831(08)60447-1

Cited by 59 publications

(26 citation statements)

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“…(14)) (-), the pfg-NMR signal measured for one of the three samples of butter D ( Â ), and the corresponding best fitting calculated pfg-NMR signal for a log-normal distribution of water droplets (--). Table 2 ParametersD 3;3 (volume-weighted mean droplet diameter),D 0;0 (numberweighted mean droplet diameter) and s g (geometric standard deviation) of the most probable log-normal distributions of water droplet sizes in commercial butters A-F, acquired by means of a fit of a calculated theoretical pfg-NMR signal to the experimental data (n ¼ 3) Masuda and Gotoh (1999) demonstrated that more particles are needed to determine a good estimate of the mean diameter of wide distributions, such as butter D. The other butters had such small droplets, that a significant part of the smallest section diameters could not be observed during imaging with CSLM. This might be the reason for the significant differences observed between the two methods.…”

Section: Comparison Between Nmr and Cslm Resultsmentioning

confidence: 99%

Determination of water droplet size distribution in butter: Pulsed field gradient NMR in comparison with confocal scanning laser microscopy

lent

Vanlerberghe²,

Oostveldt

et al. 2008

International Dairy Journal

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Section: Comparison Between Nmr and Cslm Resultsmentioning

confidence: 99%

Determination of water droplet size distribution in butter: Pulsed field gradient NMR in comparison with confocal scanning laser microscopy

lent

Vanlerberghe²,

Oostveldt

et al. 2008

International Dairy Journal

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“…Under the applied imaging conditions the useful range where the particle size can be measured with a precision of 95% [36] contained 95% to 98% of the detected particles. Two to five percent of the detected particles were larger than the upper boundary of the useful range.…”

Section: Resultsmentioning

confidence: 99%

Quantitative characterization of agglomerates and aggregates of pyrogenic and precipitated amorphous silica nanomaterials by transmission electron microscopy

et al. 2012

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BackgroundThe interaction of a nanomaterial (NM) with a biological system depends not only on the size of its primary particles but also on the size, shape and surface topology of its aggregates and agglomerates. A method based on transmission electron microscopy (TEM), to visualize the NM and on image analysis, to measure detected features quantitatively, was assessed for its capacity to characterize the aggregates and agglomerates of precipitated and pyrogenic synthetic amorphous silicon dioxide (SAS), or silica, NM.ResultsBright field (BF) TEM combined with systematic random imaging and semi-automatic image analysis allows measuring the properties of SAS NM quantitatively. Automation allows measuring multiple and arithmetically complex parameters simultaneously on high numbers of detected particles. This reduces operator-induced bias and assures a statistically relevant number of measurements, avoiding the tedious repetitive task of manual measurements. Access to multiple parameters further allows selecting the optimal parameter in function of a specific purpose.Using principle component analysis (PCA), twenty-three measured parameters were classified into three classes containing measures for size, shape and surface topology of the NM.ConclusionThe presented method allows a detailed quantitative characterization of NM, like dispersions of precipitated and pyrogenic SAS based on the number-based distributions of their mean diameter, sphericity and shape factor.

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“…Figure 2 shows the volumetric PSD obtained by counting 24,785 particles for MBP 1-10 and 20,555 particles for MBP 10-100 from SEM images. The mean particle size obtained from this figure can be estimated to be in the region of ± 7 % or less relative error in 95 % confidence interval, because over 20,000 particles were counted from SEM images [4]. PSD by ESZ method (SD-2000, Sysmex) measured over 30,000 particles is indicated in Figure 3.…”

Section: Introductionmentioning

confidence: 93%

Characterization of Reference Particles of Transparent Glass by Laser Diffraction Method

Mori

Yoshida

Masuda

2007

Part & Part Syst Charact

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The validation of particle size analysis by laser diffraction (LD) method should be done using reference particles, whose size distribution is better to have a range over one decade of size, according to ISO 13320‐1. Two kinds of samples met this request, 1–10 μm and 10–100 μm samples, were distributed from the Association of Powder Process Industry and Engineering, Japan (APPIE). In this paper, the results of the round robin test of these two samples by LD method were reported together with the comparison of the size distributions measured by electrical sensing zone and scanning electron microscope methods. 1–10 μm sample was well dispersed in water without detergent, but a few drops of detergent sometimes needed for dispersing 10–100 μm sample. For 1–10 μm sample, the mean particle size by LD methods was slightly smaller than that by SEM method, and was agreed with each other results by seven different LD instruments. For 10–100 μm sample, the mean particle size by LD methods agree well with that by SEM method, but the discrepancy of one instrument in larger size range became larger than the results of other instruments.

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Study on the sample size required for the estimation of mean particle diameter

Cited by 59 publications

References 1 publication

Determination of water droplet size distribution in butter: Pulsed field gradient NMR in comparison with confocal scanning laser microscopy

Determination of water droplet size distribution in butter: Pulsed field gradient NMR in comparison with confocal scanning laser microscopy

Quantitative characterization of agglomerates and aggregates of pyrogenic and precipitated amorphous silica nanomaterials by transmission electron microscopy

Characterization of Reference Particles of Transparent Glass by Laser Diffraction Method

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