85% -
This is the Proportion of nitrogene pollution
originating from agriculture, including
chemical fertilizers[1].
Excessive nitrogen runoff into the environment leads to various issues, such as eutrophication and the acceleration of global warming. Additionally, over-fertilization is known to reduce crop yields[2]. Meanwhile, the global population continues to grow, with projections estimating it will reach 10.3 billion in the mid-2080[3].
To achieve both increased food production and reduced environmental impact, fertilization must be tailored to the proper timing and quantity of nitrogen demanded by crops.
However, the nitrogen sensors currently used in agricultural fields face challenges such as low specificity and high operational complexity, resulting in limited adoption.
To solve this problem, we have developed a nitrogen biosensor
that leverages the high specificity of biological recognition systems.
Our biosensor has three key features:
1. In vitro transcription-based:
To ensure biosafety during use and compliance with the Cartagena Protocol, our sensor utilizes in vitro transcription by T7 RNA polymerase. Additionally, we achieve rapid detection by not using translation, even though the system is cell-free.
2. Modular Design:
To explore optimal pathways depending on the target analyte and measurement environment, we have prepared multiple modules for the three steps: input, transcription, and output. This modular approach also opens the door to further research through the addition of new modules or novel combinations.
3. Automated Measurement by Hardware:
To enhance the user-friendliness of the sensor, we have designed and implemented hardware that automatically collects soil samples and performs sensing.
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