| 초록 |
A polymer adsorbed on surface changes properties of the surface, making new characteristics of particle and substrate. The properties of polymer-coated surface are dependent on various factors such as molecular weight, pH, etc. So, the researchers who study about particle-based drug delivery put a lot of effort into designing functional nanoparticle and evaluating its adsorption properties. In order to alleviate this effort, we introduce interesting approach of predicting adsorption properties of polymeric multilayer coated particle. We set the particle size, number of layers, and properties of polymer as independent variables (Xi), and the properties of polymer-coated particles and affinity with cell surface as dependent variables (Yj). Based on method about multiple imputation for missing data, we have established a model to analyze and predict the relationship between Xi and Yj. This is first attempt to predict the results by applying statistical techniques in polymer engineering. |
