# Team:Think Edu China/Collaborations

Overview

In July, we communicated with our instructor and got in touch with another 2 high-school IGEM teams. We, Think-Edu, LZU-HS-China,, XHD-Wuhan-Pro-China, are in the same track and we have similar ideas about our projects. We formed a high-school league to promote further collaborations. We also invited other school teams and bioers to join our league and held 2 forums online a month.

Offline lab collaboration with LZU-HS-China.

During the week from July 19 to July 26, our team and Lzu-hs China shared the experiment area at shanghai Jiaotong University Medical Center. We help each other during the whole process. For instance, we use the culture medium the other group made to grow the bacteria we need to use in the experiments, we build connections between our projects and communicate difficulties we found during the week. As both of our group work in the city of Shanghai, we also did social investigations together. We help each other to complete the field research and spread the brochure handbook. As a result, both of our groups complete the investigation and experiment better due to the collaboration.

ShanghaiTech University team

1. Technical help

We, as high school team, lack the experience in editing videos and formulating the mathematics modeling. Luckily, we received some help from the captain of ShanghaiTech University. Our communication with the MIBOM university team helps us to master the technique of video editing apps such as Final cut pro and gave us the basic structure and key points in our videos. Other than the images and explanations we also add some animation and video clips to make our introduction more attractive to the group of people that relates to the problem but don’t understand the knowledge.

2. Modelling with Shanghai tech university team

Math modelling is one of the hardest parts of the proj

Other than those, the concept of derivate’s usage also become handy during our actual modelling. They are the part of data and equation we need to type in the modelling app and the construction of the whole model is based on the ODE equation. ect, but our team is lucky enough to have Shanghai tech university’s support. They gave us a brief introduction to both 2D and 3D modelling and the basic ways to use the modelling app MATLAB.

Although they did a great job on the introduction part, we still happened to struggle during the finial modelling process. We had a good start on the goal of calculating the least amount of enzyme we need to break down the waste product in biogas digesters. We also quickly locate two important axis which is the ph value and SDZ degradation rate. The problems appear when we put the Michaelis Menten function together with the function result we wrote based on the graph. The value of Km and Vmax confused us a lot. Shanghai tech university’s suggestion to treat them as independent and dependent variable helped us to transform the two equations into the form we understand and gave us a easier path.

In the end, to make the conclusion deeper, they introduced us multiple nonlinear regression model. Three layers of relation are showed in this function which are the linear function between reaction speed y and substrate concentration; second relation between x’s ph value and reaction and last relation between temperature of X (XT) .

With their help on simple principal, equations, formulas and multiple nonlinear regression model, we are able to develop our own model which directly shows the conclusion of best Ph value of 7 and equation of.

SJTU-BioX-Shanghai

While our team was in Shanghai, we visited the SJTU's lab station and was able to receive some advices to advance our project as well. The collaboration with SJTU is mainly divided into several branches: project design, technical help, and education.

For project design, we receive profound advice from the SJTU team that our project should not only limited to animals but fecal treatment could be a more direct way of the implementation of the final product.

For technical support, they helped us with formulation the mathematics modeling equations. We first came up with the purpose of modeling, but the deficiency in mathematics, they suggest us to use the Michaelis equation to calculate the appropriate efficiency and the amount of laccase enzyme should be applied to the fecal treatment.

Finally, we were able to support each other's project by publicly promoting it together through local lectures and sharing the each other's project on social media.