The biosensor is our favorite part because it is the heart of our project and because it took us a lot time to create. Like it is already explain in the Biobrick Design section, this biobrick is composed of the Pr promoter (Bba_K2023004) which is a constitutive promoter driving the transcription of the XylR gene (Bba_K2023005) coding for the XylR protein. The XylR protein is able to bind aromatic hydrocarbons that carry a methyl group like toluene and xylene. When XylR has bind toluene for instance, it is able to regulate the Pu promoter has a transcriptional regulator. Then, Pu is activated and it allows the transcription of the bioluminescent reporter gene GLuc (Pu+GLuc: Bba_K2023003), coding for the Gaussia luciferase. When this enzyme reacts with its substrate luciferine, a substance called Coelenterazine, it emits luminescence.
Our project aimed to solve the small-scale measurement problem and to valorize the qualities of a biosensor. We therefore developed a drone that could perform all the measurements and mappings we needed, along with an airlock tube able to sample the air while containing our biosensor bacteria.
We investigated deeply what was the air pollution measurement market in our area, in order to establish a first Business Model for what we could make out of Quantifly. We also looked for informations concerning Intellectual Property, in order to know what to do if our results were good enough to make a startup out of Quantifly.
As we wanted to precisely quantify air pollution, we started working with CelloCad, a software used for plasmid optimization. Thus, we tried to improve the characterization of the two promoters of our biosensor, in order to build an optimized version of our plasmid.
We developed a large number of BioBricks during our project, and tried to characterize them as best as we could, through several processes (e.g sequencing). We also worked on improving the characterization of the XylR Coding Sequence BioBrick (BBa_K1834844) through addition of a His-tag to it, and the sequence of the Gluc protein (BBa_K1732027). Please follow the link to access all informations about our:
Our project aimed to solve the small-scale measurement problem and to valorize the qualities of a biosensor. We therefore developed a drone that could perform all the measurements and mappings we needed, along with an airlock tube able to sample the air while containing our biosensor bacteria.
We investigated deeply what was the air pollution measurement market in our area, in order to establish a first Business Model for what we could make out of Quantifly. We also looked for informations concerning Intellectual Property, in order to know what to do if our results were good enough to make a startup out of Quantifly.
As we wanted to precisely quantify air pollution, we started working with CelloCad, a software used for plasmid optimization. Thus, we tried to improve the characterization of the two promoters of our biosensor, in order to build an optimized version of our plasmid.
We developed a large number of BioBricks during our project, and tried to characterize them as best as we could, through several processes (e.g sequencing). We also worked on improving the characterization of the XylR Coding Sequence BioBrick (BBa_K1834844) through addition of a His-tag to it, and the sequence of the Gluc protein (BBa_K1732027). Please follow the link to access all informations about our:
Our project aimed to solve the small-scale measurement problem and to valorize the qualities of a biosensor. We therefore developed a drone that could perform all the measurements and mappings we needed, along with an airlock tube able to sample the air while containing our biosensor bacteria.
We investigated deeply what was the air pollution measurement market in our area, in order to establish a first Business Model for what we could make out of Quantifly. We also looked for informations concerning Intellectual Property, in order to know what to do if our results were good enough to make a startup out of Quantifly.
As we wanted to precisely quantify air pollution, we started working with CelloCad, a software used for plasmid optimization. Thus, we tried to improve the characterization of the two promoters of our biosensor, in order to build an optimized version of our plasmid.
We developed a large number of BioBricks during our project, and tried to characterize them as best as we could, through several processes (e.g sequencing). We also worked on improving the characterization of the XylR Coding Sequence BioBrick (BBa_K1834844) through addition of a His-tag to it, and the sequence of the Gluc protein (BBa_K1732027). Please follow the link to access all informations about our:
Our project aimed to solve the small-scale measurement problem and to valorize the qualities of a biosensor. We therefore developed a drone that could perform all the measurements and mappings we needed, along with an airlock tube able to sample the air while containing our biosensor bacteria.
We investigated deeply what was the air pollution measurement market in our area, in order to establish a first Business Model for what we could make out of Quantifly. We also looked for informations concerning Intellectual Property, in order to know what to do if our results were good enough to make a startup out of Quantifly.
