A comparison of the interaction energies of different structures of aggregates expressing the rate of probability of the structures (the larger the negative energy, the bigger
the probability of structure). Figure 3 Diagram of a chain structure. A diagram of the chain structure of Ruxolitinib ic50 nanoparticles within an aggregate with schematic directions of the magnetization vectors of the nanoparticles. Figure 4 Diagram of a circular structure. A diagram of a circular structure of nanoparticles within an aggregate with schematic directions of the magnetization vectors of the nanoparticles. Figure 5 Diagram of spherical structure. A diagram of a spherical structure of nanoparticles within an aggregate with schematic directions of the magnetization vectors of the nanoparticles. Figure 6 Diagram of a cubic structure. A diagram of a cubic structure of nanoparticles within an aggregate with schematic directions of the magnetization vectors of the nanoparticles. Table 1 SB203580 molecular weight Interaction energies of different structures of aggregates Number of nanoparticles  Structure Energy/μ (eV) 2 Chain 273 3 Chain 588 8 Cube 903 8 Sphere 1,449 8 Circle 2,184 8 Chain 2,688 27 Chain 3,780 27 Sphere 8,400 29 Cube 8,400 343 Cube 56,700 343 Chain 109,200 343 Sphere 184,800 Computed interaction energies divided by the permittivity constant for different
structures of aggregates (according to the diagrams in Figures 3, 4,5,6) and for different numbers of nanoparticles within the aggregates. In their research, Phenrat et al. , aggregates of nanoscale zero-valent iron particles were measured using dynamic light scattering, optical microscopy this website and sedimentation measurements. According to their results, firstly, the nanoparticles created clusters and subsequently, these aggregates assemble themselves into fractal, chain-like clusters. We presume that it was because of the high concentration of nanoparticles that they used, and the very fast aggregation, first into chains and then into clusters, which lead to the measurement of only larger clusters in . Our presumption that with larger numbers of nanoparticles, spherical cluster is created Selleckchem C225 which
leads to the supposition that at very high concentrations of particles, spherically structured aggregates only attach to each other, without changing their structure. This corresponds to the observations of Phenrat et al. : in high concentrations, first nanoparticles aggregate into clusters, then the created clusters aggregate into pairs or triplets, and finally into chain-like fractal aggregates. The inclusion of the limit distance into mass transport coefficients The basic model of aggregation as given in the section, ‘A model of nanoparticle aggregation’, indicates the rate of aggregation caused by the collision of particles (in proximity, attractive forces outweigh the repulsive ones). We established a limit distance in which attractive forces outweigh the repulsive ones.