Kinetics of monolayer particle deposition

1998 ◽  
Vol 94 (6) ◽  
pp. 783-788 ◽  
Author(s):  
Jeremy J. Ramsden ◽  
Marianna Máte´
2001 ◽  
Vol 242 (1) ◽  
pp. 14-24 ◽  
Author(s):  
Zbigniew Adamczyk ◽  
Barbara Siwek ◽  
Piotr Warszyński ◽  
Elizeusz Musiał

2004 ◽  
Vol 269 (1) ◽  
pp. 53-61 ◽  
Author(s):  
Zbigniew Adamczyk ◽  
Elizeusz Musiał ◽  
Barbara Siwek

1995 ◽  
Vol 175 (1) ◽  
pp. 6-11 ◽  
Author(s):  
Anatoly A. Bochkarev ◽  
Maxim V. Pukhovoy ◽  
Lyubov N. Kasyanova

Soft Matter ◽  
2020 ◽  
Vol 16 (15) ◽  
pp. 3649-3656
Author(s):  
Zhibin Yan ◽  
Xiaoyang Huang ◽  
Lingling Shui ◽  
Chun Yang

The colloidal particle deposition in microchannels is significantly affected by the collective effects of the temperature gradient and the bulk solution temperature during the two deposition steps: the particle transport and the particle attachment.


2018 ◽  
Vol 98 (6) ◽  
Author(s):  
Cesare M. Cejas ◽  
Fabrice Monti ◽  
Marine Truchet ◽  
Jean-Pierre Burnouf ◽  
Patrick Tabeling

Nanomaterials ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 145
Author(s):  
Anna Bratek-Skicki ◽  
Marta Sadowska ◽  
Julia Maciejewska-Prończuk ◽  
Zbigniew Adamczyk

Controlled deposition of nanoparticles and bioparticles is necessary for their separation and purification by chromatography, filtration, food emulsion and foam stabilization, etc. Compared to numerous experimental techniques used to quantify bioparticle deposition kinetics, the quartz crystal microbalance (QCM) method is advantageous because it enables real time measurements under different transport conditions with high precision. Because of its versatility and the deceptive simplicity of measurements, this technique is used in a plethora of investigations involving nanoparticles, macroions, proteins, viruses, bacteria and cells. However, in contrast to the robustness of the measurements, theoretical interpretations of QCM measurements for a particle-like load is complicated because the primary signals (the oscillation frequency and the band width shifts) depend on the force exerted on the sensor rather than on the particle mass. Therefore, it is postulated that a proper interpretation of the QCM data requires a reliable theoretical framework furnishing reference results for well-defined systems. Providing such results is a primary motivation of this work where the kinetics of particle deposition under diffusion and flow conditions is discussed. Expressions for calculating the deposition rates and the maximum coverage are presented. Theoretical results describing the QCM response to a heterogeneous load are discussed, which enables a quantitative interpretation of experimental data obtained for nanoparticles and bioparticles comprising viruses and protein molecules.


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