I. Optimal expression vehicle for parts

Our team used the Ailurus vecTM high-throughput screening experimental platform for our favorite part DHAR (Part:BBa_K3812008) and its expression in different expression vectors, different strains, so as to screen the most suitable expression vectors for this part and facilitate the subsequent use of this part by other iGEM teams. In particular, we report the expression of this part in 2500 different expression vectors in E. coli DH5α chassis strains, including the best adapted expression vectors and a complete dataset for future iGEM teams to further explore the potential of this part.
Fig.1 DHAR expression in 2500 expression vectors

II.Mathematical Models

1. Microalgae Growth Model
Based on the experimental data, we analysed the specific growth rate of phaeodactylum tricornutum under different culture conditions, explored the relationship between the growth quantity and growth trend of microalgae, established a logistic model to study the growth curve of microalgae, and analysed the best culture environment for phaeodactylum tricornutum.
2. Plant Cost Model
Faced with the reality of increasing demand for food and energy and declining fossil fuel reserves, the use of unexploited organisms to support sustainable development is a very hot research direction at present. Our main research objective is to find the minimum value of cost and the maximum value of production by mining the main factors affecting the cost of microalgae production, building a target planning model based on the cultivation cost and time cost of the plant, and finding the The equilibrium is reached to arrive at the optimal algae cultivation time and the corresponding production and cost.
3. Microalgae Plant Site Selection Model
In order to effectively reduce the total cost of microalgae plant production and provide some support for the economic viability of microalgae production of biodiesel, we explored the best sites for urban cultivation of microalgae through the DEA model, fully considering environmental factors affecting the growth of microalgae such as rainfall, wastewater and sunlight, and studying economic factors such as transport costs and land costs, and conducting an in-depth study of the most suitable areas for cultivation of microalgae in 31 provinces in China. The areas that are most suitable for cultivating microalgae.
Fig.2 Mivralgae Plant Site Map

III. Questionnaire Analysis

With the development of molecular biology and the improvement of genetic engineering, the use of synthetic biology to improve the expression of oil-producing genes in microalgae can provide a novel direction for the industrialisation of bio-oil production, but genetically modified microalgae and their new energy products, as new products, will inevitably be questioned by the public, and the unknown degree of public acceptance of microalgae may become a major obstacle to the development of microalgae. Therefore, a questionnaire was sent to the public for research and analysis to study the public's awareness and acceptance of microalgae products, and then to analyse the needs of users, and a questionnaire research report was generated to provide some reference and suggestions for the future direction of microalgae product launch and promotional tools.
1. Questionnaire Data Analysis
We are from China, the United States, Italy, Denmark, 620 questionnaires data, details of the user from the questionnaire star platform export to excel file, visualization analysis, through the reliability test, validity test, analysis of project analysis, chi-square, independent inspection statistical methods, such as the rationality of the questionnaire survey result believable.
2. Establishing a Demand Model
In order to explore the public's perception of GM microalgae and their needs, we established a CRITIC weighted user needs model based on the user questionnaire data combined with Maslow's needs theory, and studied the correlation between the user's acceptance of GM microalgae and its products and the various levels of needs from the user's awareness component, emotional component and behavioural component.
3. Potential User Mining
According to the user demand model, we analyse the acceptance of users, use K-means clustering analysis to explore potential users, explore the value of the five potential users and their individual characteristics, and give certain suggestions: the enterprise should focus on developing the elderly group with high education or rich experience, and include the college students with higher education in the next development of customers, so as to prepare for the next promotion of transgenic microalgae products. The company should focus on the elderly with high levels of education or experience, and include university students with higher education in its next customer development, in order to prepare for the further promotion of GM microalgae.
Fig.3 2021 CHINA-FAFU Questionnaire

Ⅳ. Future Prospects

The production of biodiesel from microalgae has attracted much interest in recent years. The advantages of urban cultivation of microalgae are urban wastewater use, oxygen production and employment sustainability, and the commercialisation of biodiesel production from microalgae has been supported by scientific evaluation and practical experience. The selection of a microalgae cultivation site that is suitable for both the environment and the economy can effectively reduce the feedstock costs for diesel production. As a next step, we will continue to conduct in-depth research into provinces suitable for microalgae cultivation, examining their geographical environment, economic conditions, human development and other factors to study the location of microalgae plants in more depth.

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