Overview
Overview
When we are designing a SeNPs-produced system inside E. coli, we want to demonstrate whether it can work and under what conditions can it work the best. It would take a long time to test the production capacity, so we turn to modeling to answer these questions.
We build Logistic Model and Stochastic model based on tau-leaping algorithm to simulate the theoretical yield of different promoter combinations. In this part, we determine three feasible promoter combinations for wet lab and calculate the yield under low-low combination which can produce the best quality of SeNPs. And we add deterministic model to talk about application in soil extracts containing selenium.
In this part, response surface method(Box-Behnken Design) is used to study the yield of SeNPs by engineered bacteria. It provides a theoretical basis for the conditions optimization(temperature, pH, selenite concentration) for large-scale production of SeNPs in later stage and allows us to maximize the yield of SeNPs.