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Loading particles into optical trap.
This makes loading particles and weighting them much easier as each cell at a given radius is the same size.
An apparatus for loading particles is machined by the electrical discharge cutting technique to create a dense packed particle wall.
At same solid loading, particles with smaller diameters cause more additional computing time.
The core particle Fe3O4 can be used in resonance imaging, whereas the shell layer is mesoporous SiO2, which can provide enough space for additive and can be used for loading particles to adsorb or isolate protein and antibody.
After pretreatment at 160°C for 1.5 h and 5% solids loading, particles were not observed and the mixture was a homogenous dark solution.
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The algorithms for particle injection, particle loading, particle motion, and particle tracking are presented.
The entrapment efficiency, drug loading, particle size, and zeta potential of nanoparticles are reported in Table 1.
Boundary conditions and the algorithms for injection, particle loading, particle motion, and particle tracking are implemented for unstructured Delaunay grids.
The algorithms for injection, particle loading, particle motion, and particle tracking are parallelized for unstructured tetrahedral grids.
We show that significant and measurable variations in the overall mass loading, particle effective radius, and particle size distribution can be obtained by these changes.
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