Size Modification of Optically Active Contamination-Free Silicon Nanoparticles with Paramagnetic Defects by Their Fast Synthesis and Dissolution

2018 ◽  
Vol 216 (2) ◽  
pp. 1800685 ◽  
Author(s):  
Yury V. Ryabchikov
2018 ◽  
Vol 2 (1) ◽  
pp. 321-329 ◽  
Author(s):  
Marta d’Amora ◽  
Marina Rodio ◽  
Giuseppe Sancataldo ◽  
Alberto Diaspro ◽  
Romuald Intartaglia

Small ◽  
2008 ◽  
Vol 4 (10) ◽  
pp. 1835-1841 ◽  
Author(s):  
Milena Rosso-Vasic ◽  
Evan Spruijt ◽  
Barend van Lagen ◽  
Luisa De Cola ◽  
Han Zuilhof

2013 ◽  
Vol 4 (1) ◽  
Author(s):  
Peter Asenbaum ◽  
Stefan Kuhn ◽  
Stefan Nimmrichter ◽  
Ugur Sezer ◽  
Markus Arndt

2000 ◽  
Vol 71 (3) ◽  
pp. 373-379 ◽  
Author(s):  
B. Bescós ◽  
R. Hoch ◽  
H.-J. Schmidtke ◽  
G. Gerber

Small ◽  
2009 ◽  
Vol 5 (23) ◽  
pp. NA-NA ◽  
Author(s):  
M. Rosso-Vasic ◽  
E. Spruijt ◽  
B. van Lagen ◽  
L. De Cola ◽  
Han Zuilhof

TAPPI Journal ◽  
2012 ◽  
Vol 11 (8) ◽  
pp. 51-58
Author(s):  
ANTTI HAAPALA ◽  
MIKA KÖRKKÖ ◽  
ELISA KOIVURANTA ◽  
JOUKO NIINIMÄKI

Analysis methods developed specifically to determine the presence of ink and other optically active components in paper machine white waters or other process effluents are not available. It is generally more interest¬ing to quantify the effect of circulation water contaminants on end products. This study compares optical techniques to quantify the dirt in process water by two methods for test media preparation and measurement: direct process water filtration on a membrane foil and low-grammage sheet formation. The results show that ink content values obtained from various analyses cannot be directly compared because of fundamental issues involving test media preparation and the varied methodologies used to formulate the results, which may be based on different sets of assumptions. The use of brightness, luminosity, and reflectance and the role of scattering measurements as a part of ink content analysis are discussed, along with fine materials retention and measurement media selection. The study concludes with practical tips for case-dependent measurement methodology selection.


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