Programming living sensors for environment, health and biomanufacturing

Area of Science:

• Synthetic Biology
• Microbial Engineering
• Biosensing

Background:

• Bacterial cells engineered via synthetic biology serve as biosensing platforms.
• Applications include environmental monitoring, disease diagnosis, and biomanufacturing.
• Real-world use of microbial sensors is limited by technical and societal factors.

Purpose of the Study:

• To summarize recent synthetic biology advancements relevant to microbial sensors.
• To discuss how these advances can accelerate development and enhance performance.
• To address limitations hindering field application of microbial sensors.

Main Methods:

• Review of synthetic biology tools: circuit design, biocontainment, machine learning.
• Analysis of technological progress in programming cellular functions.
• Discussion of strategies to overcome existing barriers for microbial sensor deployment.

Main Results:

• Synthetic biology innovations are key to overcoming microbial sensor limitations.
• Advances in circuit design, biocontainment, and machine learning improve sensor capabilities.
• Programmable living sensors show potential for enhanced performance and broader applicability.

Conclusions:

• Synthetic biology is pivotal for advancing microbial sensor technology.
• Programmable living sensors are poised for practical, on-site detection.
• These sensors promise sustainable, affordable, and user-friendly solutions for diverse settings.