The manipulation of emulsions at micrometer-scale is a challenging topic for industrial application, especially for monodisperse microemulsions production. The development of material science and afterwards the creation of polymer confinement proposed efficient devices for micrometer scale emulsions fabrication. In this work, the flow regime of emulsion generation was studied to depict numerical manipulation of micrometer-scale emulsions through biomicrofluidic technology. At first, correlation analysis between experiment conditions and results were conducted, then different linear modeling and non-linear modeling, including Artificial Neural Network Modeling (NNM) technology, were performed to characterize the emulsion variation. Both models can well manipulate emulsion variation. Compared with linear modeling, non-linear models ameliorate the performance on the manipulation of micrometer-scale emulsion.

Biomicrofluidic silhouettes brought about scientific challenges merited to be investigated through explicit florescence observation, implicit physical-chemical analysis and intermediate conductive level manipulation. Droplet generation, as the typical biomicrofluidic phenomenon, is a complicated dynamic process. In this work, we established both linear and non-linear models to describe the biomicrofluidic droplet variation through applied mathematical techniques, in order to find the corresponding summarizations. Model analysis showed that non-linear models presented ameliorated descriptive capacity.