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Colloids particle trajectories

In contrast, the three- or two-dimensional morphologies of colloidal aggregates via Brownian particle trajectories show a fractal-like structure. One of the most prominent features of the surface deposits formed by the diffusion-limited aggregation mechanism is the formation of isolated treelike clusters (9). In our experiments, the surface morphology of the silica-coated polyethylene composite prepared by... [Pg.706]

The problem of Brownian motion relates to the motion of a heavy colloidal particle immersed in a fluid made up of light particles. In Fig. 11.1.1 the trajectory of a Brownian particle is shown. The coordinates of a particle with diameter 2 /xm moving in water are observed every 30 s for 135 min. At the very first step in the argument one renounces an exact deterministic description of the motion and replaces it with a probabilistic description. [Pg.265]

A small colloidal particle in any liquid diffuses due to the fluctuations of the number of molecules hitting it randomly from different directions. Colloidal particles are significantly larger than the molecules in the liquid, but small enough that collisions with molecules noticeably move the particle. The trajectory of the particle, shown in Fig. 8.1, is another example of a rajndom walk. The three-dimensional mean-square displacement of the colloidal particle during time t is proportional to t, with the coefficient of proportionality related to the diffusion coefficient D ... [Pg.309]

Figure 8.7 Trajectories of attracting colloidal particles in a flow field. As in... Figure 8.7 Trajectories of attracting colloidal particles in a flow field. As in...
The fluctuation theorem was experimentally demonstrated, by following the trajectory of a colloidal particle captured in an optical trap that is translated relative to surrounding water molecules. From the particle trajectories, the entropy production and consumption along the trajectory were calculated. The fraction of second law-defying trajectories that are in contrary to the second law could be sampled. The results of these experiments show that entropy consumption can occur over colloidal length and time scales [15]. [Pg.120]

We can also identify entropy along an individual trajectory. For a simple colloidal particle, the entropy has two contributions. First is an increase in entropy of the medium due to the heat dissipated into the... [Pg.672]

The electrophoretic motion is either measured microscopically or by light scattering. The former way is called microelectrophoresis and usually employs ultramicroscopes when dealing with colloidal particle systems. The optical instrumentation can be identical to that of DUM, while the software has to be modified because only the displacement in the direction of the electric field is relevant. The method yields a number weighted distribution of zeta-potentials. Similar to DUM, a sufficiently large number of trajectories has to be evaluated in order to keep the statistical uncertainty within an acceptable level. Moreover, the method may be insensitive to weak scatterers within a polydisperse colloidal suspension. [Pg.53]

The cluster morphology may depend on details of colloidal particle interactions, mechanism of particle attachment to the cluster, and dimensionality of the problem. The existing models for cluster morphology simulation account for the trajectory of... [Pg.68]

The most straightforward modification of the LGV thermostat is to relate the thermostat forces to the relative velocity of interacting particle pairs. Such an approach is based on the dissipative particle dynamics (DPD) method. Originally, DPD was proposed in conjunction with soft interaction potentials, which would represent clusters of atoms, increasing the stability of particle trajectories and allowing the use of larger MD time steps than for hard potentials. It has been applied to various problems, for example, phase separation [161, 164, 166], the flow around complex objects [153], and colloidal [154,162] and polymeric [143,147, 149-151, 157, 158, 167, 170] systems. [Pg.25]

Assumptions made in writing Equation 1.7 are that collisions between a bare patch and a polymer patch lead to deposition and those between polymer patches or between bare patches do not. This is plausible when, during a collision, the particle trajectory is determined mainly by the attractive force between a bare patch and a polymer patch. Collisions in shear are more complicated, as rotating particles are surrounded by fluid that rotates with it, leading to trajectories that can orbit a fiber several times before colloid-fiber contact occurs [23]. When particles are partially coated by polymer, they will experience fluctuating colloidal interaction forces, depending on where the patches are located. Nevertheless, also in such cases a = 0 when polymer is absent and a = 1 when fibers are fully coated (and colloids not). Thus, also in this case Equation 1.7 is probably not a bad approximation. [Pg.6]

Perikinetic motion of small particles (known as colloids ) in a liquid is easily observed under the optical microscope or in a shaft of sunlight through a dusty room - the particles moving in a somewhat jerky and chaotic manner known as the random walk caused by particle bombardment by the fluid molecules reflecting their thermal energy. Einstein propounded the essential physics of perikinetic or Brownian motion (Furth, 1956). Brownian motion is stochastic in the sense that any earlier movements do not affect each successive displacement. This is thus a type of Markov process and the trajectory is an archetypal fractal object of dimension 2 (Mandlebroot, 1982). [Pg.161]

Particle tracking also produced trajectory paths of the Pt/Au nanorods based on displacement data collected for the head and tail of each nanorod. The head is defined as the direction in which the nanorod moves. The trajectory paths clearly distinguish the motion of a Pt/Au nanorod from that of a Brownian colloidal cylinder moving under the influence of thermal energy (Fig. 3.1). In addition, the trajectory path helps visualize some of the defined physical parameters. [Pg.27]

These trajectory methods have been used by numerous researchers to further investigate the influence of hydrodynamic forces, in combination with other colloidal forces, on collision rates and efficiencies. Han and Lawler [3] continued the work of Adler [4] by considering the role of hydrodynamics in hindering collisions between unequal-size spheres in Brownian motion and differential settling (with van der Waals attraction but without electrostatic repulsion). The results indicate the potential significance of these interactions on collision efficiencies that can be expected in experimental systems. For example, collision efficiency for Brownian motion will vary between 0.4 and 1.0, depending on particle absolute size and the size ratio of the two interacting particles. For differential... [Pg.545]

Fig. 1 Principle of biolistic transfection, (a) The DNA-gold complex consists of a core formed by a particle of colloidal gold and the DNA adsorbed onto its surface, (b) After being accelerated by helium blast the complex crosses the cell membrane, (c) The transfected cell contains the DNA-gold complex into its cytoplasm. DNA is then processed by the cell to produce coded moiety(ies). The red dotted line indicates the trajectory of the DNA-gold complex in the course of its acceleration (color figure online)... Fig. 1 Principle of biolistic transfection, (a) The DNA-gold complex consists of a core formed by a particle of colloidal gold and the DNA adsorbed onto its surface, (b) After being accelerated by helium blast the complex crosses the cell membrane, (c) The transfected cell contains the DNA-gold complex into its cytoplasm. DNA is then processed by the cell to produce coded moiety(ies). The red dotted line indicates the trajectory of the DNA-gold complex in the course of its acceleration (color figure online)...

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See also in sourсe #XX -- [ Pg.29 , Pg.499 ]




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