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

Revision as of 09:15, 12 October 2019

description

Overview

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 make 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 researched 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.

Quorum sensing model

To further understand, predict, and control the behavior of engineered microbial group effect, we modeled the group effects based on the entire process of crpp enzyme production.

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 can use this model to predict the relationship between the production of CrpP enzyme and the external concentration of AHL, which can find the optimal ratio of the detection bacteria to the degrading bacteria, saving the cost of the device.

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Degradation optimization model

In order to find the optimal degradation conditions for CrpP enzyme, we found the main factors affecting the degradation rate from the paper.
Firstly, we used the Plackett-Burman design to screen factors and got the important factors. Secondly, the Box-Behnken design was used in the experimental design. According to the experimental results, the response surface equation was obtained. Finally, after obtaining the extreme value of the regression equation, it can be verified by experiments.

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Device layout optimization model

We combined modeling with human practice and established the layout model of devices to provide a solution for human practice. Inspired by the placement of dustbins now, firstly we carried out the layout of the dustbin using the multi-objective programming model, and then carried out the layout of the device. Finally, we made the dustbin and the device as close as possible, thus increasing the probability of residents throwing expired drugs. The model reduced costs for our project and increased the efficiency of processing expired drugs.

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-		To further understand, predict, and control the behavior of engineered microbial group effect, we modeled the group effects based on the entire process of crpp enzyme production.
+		<p>To further understand, predict, and control the behavior of engineered microbial group effect, we modeled the group effects based on the entire process of crpp enzyme production.
-                </div>
                  <div class="mainbody" style="text-indent:50px">
   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 can use this model to predict the relationship between the production of CrpP enzyme and the external concentration of AHL, which can find the optimal ratio of the detection bacteria to the degrading bacteria, saving the cost of the device.