Wetting film stability and flotation kinetics

2002 ◽  
Vol 95 (2-3) ◽  
pp. 145-236 ◽  
Author(s):  
J. Ralston ◽  
S.S. Dukhin ◽  
N.A. Mishchuk
2007 ◽  
Vol 111 (15) ◽  
pp. 5743-5749 ◽  
Author(s):  
M. Krasowska ◽  
M. Kolasinska ◽  
P. Warszynski ◽  
K. Malysa

2019 ◽  
Vol 44 ◽  
pp. 48-58 ◽  
Author(s):  
Marta Krasowska ◽  
Kazimierz Malysa ◽  
David A. Beattie

2021 ◽  
Vol 103 (6) ◽  
Author(s):  
Pedro H. A. Anjos ◽  
Meng Zhao ◽  
John Lowengrub ◽  
Weizhu Bao ◽  
Shuwang Li
Keyword(s):  

Photonics ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 70
Author(s):  
Maria Raposo ◽  
Carlota Xavier ◽  
Catarina Monteiro ◽  
Susana Silva ◽  
Orlando Frazão ◽  
...  

Thin graphene oxide (GO) film layers are being widely used as sensing layers in different types of electrical and optical sensor devices. GO layers are particularly popular because of their tuned interface reflectivity. The stability of GO layers is fundamental for sensor device reliability, particularly in complex aqueous environments such as wastewater. In this work, the stability of GO layers in layer-by-layer (LbL) films of polyethyleneimine (PEI) and GO was investigated. The results led to the following conclusions: PEI/GO films grow linearly with the number of bilayers as long as the adsorption time is kept constant; the adsorption kinetics of a GO layer follow the behavior of the adsorption of polyelectrolytes; and the interaction associated with the growth of these films is of the ionic type since the desorption activation energy has a value of 119 ± 17 kJ/mol. Therefore, it is possible to conclude that PEI/GO films are suitable for application in optical fiber sensor devices; most importantly, an optical fiber-based interrogation setup can easily be adapted to investigate in situ desorption via a thermally stimulated process. In addition, it is possible to draw inferences about film stability in solution in a fast, reliable way when compared with the traditional ones.


1971 ◽  
Vol 14 (11) ◽  
pp. 2265 ◽  
Author(s):  
G. S. R. Sarma
Keyword(s):  
Gas Flow ◽  

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