| Summary: | 碩士 === 國立成功大學 === 機械工程學系碩博士班 === 92 === Traditionally, the delivery of functional particles in liquid media makes good use of capsules, powder and various liquid carriers. Unfortunately, in the traditional ways of delivery, a large portion of functional particles do not arrive at the infected areas. They were decomposed and assimilated by the organs, vessel walls and air bulbs in the way to the infected areas. That is not only inefficient, but also detrimental for bringing in various unexpected side effects to the major system. Thus, how to obtain a better model to allow the delivery process to be more accurately understood and controlled becomes extremely important and urgently needed in many industrial and medical practices.
In view of the need, a new approach by using the nano-particles coating and self-assembled technique is proposed for study. In the functional particles delivery system, three major processes, namely, the self-assembly, the seeding transportion, and the release of nano-particles, are carefully studied. In the self-assembly process, the surface of nano-particles are polarized and then assembled with functional particles to make a complete carrier. In the seeding transportation process, the carrier is injected into the neighborhood of the received zone, and then guided in the fluid flow to the infected areas by using the external magnetic media. In the particles releasing process, the nano-particles were released from the carrier by using either α-ray optical separation or biomedical dissolution techniques. The drug molecules are diffused into the cell membrane of the infected objects with an appropriate control on functional particles supply and seeding effect. In order to model the aforementioned processes, the project employs the theories of DLVO, electromagnetics and hydrodynamics for nanoparticle self-assembly, seeding, releasing and effect tracing. The molecular dynamics is employed to evaluate the process parameters for each of the subprocesses instead of using traditional empirical average values.
The interrelation among these three sub-processes is investigated and an integrated model is proposed. A computerized system is set up to conduct both the numerical and experimental data comparison for signature verification. The results indicate that the modeling procedure proposed in the work is satisfactory.
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