Difference between revisions of "Team:UESTC-China/Model"

Firstly, to understand the mechanism better and predict the results of the experiments, we modeled the quorum sensing mechanism from the microscopic point of view, which can help us find the optimal ratio of detection cells to processing cells. Undoubtedly, the model greatly saves the cost of our project.

To further optimize our experiments, we investigated the external factors affecting the degradation of CIP by engineered bacteria from the macroscopic perspective. Through the reasonable experimental design, we can screen out the main influencing factors and obtain the response surface equation using PB design and Box-Behnken design. Finally, we will find the best external conditions, which improves the degradation rate of CIP.

To make our device applied widely in real life, we established a device layout model from a more macroscopic perspective to provide a scientific solution for human practice and hardware. Therefore, the cost of our project is reduced and the efficiency of drug recovery is improved.

All in all, modeling is combined with experiments and human practice to make our project more integral.

To further understand, predict, and control the behavior of engineered microbial quorum sensing, we modeled the quorum sensing based on the entire process of crpp enzyme production and degradation.

The model involves a wide range of biological and physical processes, such as diffusion, binding and so on. Through the establishment and solution of differential equations, we have used this model to predict the relationship between the production of CrpP enzyme and the external concentration of AHL, which can help us find the optimal ratio of the detection bacteria to the degrading bacteria and save the cost of the device.

In order to find the optimal degradation conditions for CrpP enzyme, we found the factors affecting the degradation rate from the paper.

We designed a scheme which uses the Plackett-Burman design to screen factors and get the important factors. The Box-Behnken design will be used in the experimental design. According to the future experimental results, the response surface equation can be obtained. Then, we can find the optimal external influence factors and increase the degradation rate to optimize our experiment. At present, we are working hard to get the experimental data. In the future, we will use our scheme to optimize our experiment and adjust our model with experimental data.