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Updated: Feb 10, 2026

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
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Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.

Yuanli Gao1,2, Cheng Huang1, Jiaxuan Deng1

  • 1Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|February 8, 2026
PubMed
Summary
This summary is machine-generated.

Synthetic biology advances genetic circuits for powerful biosensors. This review explores their design, applications, and challenges, aiming to bridge the gap between lab research and real-world field use.

Keywords:
cell‐free biosensorgenetic circuit designsynthetic biologysynthetic biosensorwhole‐cell biosensor

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Area of Science:

  • Synthetic biology
  • Genetic engineering
  • Biosensor technology

Background:

  • Synthetic biology applies engineering to design genetic circuits for precise biological control.
  • Synthetic biosensors offer potential for on-site, sustainable, and affordable detection in various fields.
  • Challenges remain in biosensing sensitivity, specificity, speed, stability, and safety for field deployment.

Purpose of the Study:

  • To review recent advancements in genetic circuit-enabled synthetic biosensors.
  • To analyze design principles, tools, and strategies for high-performing biosensors.
  • To discuss functional extensions and future directions for field applications.

Main Methods:

  • Summarizing recent advancements in synthetic biosensor mechanisms, designs, and applications.
  • Analyzing design principles, tools, and engineering strategies.
  • Examining methods for tuning dose-response curve characteristics (detection limit, dynamic range, leakiness).

Main Results:

  • Genetic circuits enable precise control for advanced synthetic biosensors.
  • Key characteristics of biosensor dose-response curves can be tuned.
  • Functional extensions through signal-processing and output modules are discussed.

Conclusions:

  • Synthetic biosensors show promise for diverse applications but face field-deployment challenges.
  • Engineering strategies are crucial for improving biosensor performance.
  • Interdisciplinary collaboration will expand synthetic biosensor applications.