State-of-the-Art on Ultra-Trace Analysis of Ultrapure Water

Yoshida, Chika; Nomura, Arihiro; Endou, M.

doi:10.2116/bunsekikagaku.59.349

Cited by 2 publications

(1 citation statement)

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“…And therefore the impurity in the suspension was neglected in the study. The common impurity in ultrapure water includes total oxidizable carbon materials (TOC, about 65% of the total impurity mass), total silica (30%), and Boron (less than 5%) according to the industrial requirements for ultrapure water (Yoshida et al 2010). TOC covers various species including organic and halogenic compounds, which are difficult to quantify separately.…”

Section: Uncertainty Of Predicted Massmentioning

confidence: 99%

The accuracy of the aerosol particle mass analyzer for nanoparticle classification

Liao

Tseng

Tsai

2017

Aerosol Science and Technology

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The aerosol mass measurement method, DMA-APM, measures a lower mass as compared to the electrical mobility diameter-based particle mass for sub-50 nm nanoparticles. The extent of underestimation increases with decreasing nanoparticle diameter and can reach as much as 20-80% for different nanoparticles between 10-20 nm. To study this issue, the DMA-APM system was tested with traceable size standards (PSL and NanoSilica) and laboratory generated silver nanoparticles. It was found that the extent of mass underestimation depended on Brownian diffusion as well as the strength of the classifying forces, and the extent was quantified by a dimensionless parameter λ c;P , which is suggested to be higher than 40 to eliminate the mass underestimation for size standards. Further analysis also showed that the uncertainty in the particle density of test nanoparticles should be as low as possible to minimize the error in the judgment on the accuracy of the APM. Finally, the absolute accuracy of the APM at different λ c;P was determined by the size standards, which could be used to correct for the mass underestimation for sub-50 nm nanoparticles.

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Section: Uncertainty Of Predicted Massmentioning

confidence: 99%