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Related Concept Videos

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Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
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Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
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Synthetic Biology-Enabled Biosensing Platforms for Point-of-Care In Vitro Diagnostics: Programmable Modules, Clinical

Changjie Bao1, Honglin Zhang2, Lin Jiang1

  • 1Academy of Laboratory, Jilin Medical University, Jilin 132013, China.

Biosensors
|May 26, 2026
PubMed
Summary

Synthetic biology revolutionizes in vitro diagnostics (IVD) with programmable biosensors for point-of-care testing (POCT). These adaptable systems offer enhanced molecular recognition and flexible readouts for decentralized diagnostics.

Keywords:
CRISPR-Casbiosensing platformcell-free protein synthesismicrofluidicspoint-of-care testingsynthetic biology

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Area of Science:

  • Synthetic biology applications in diagnostics
  • Programmable biosensing technologies
  • Point-of-care testing (POCT) innovation

Background:

  • Conventional in vitro diagnostics (IVD) rely on fixed chemistries and centralized instrumentation.
  • Synthetic biology offers adaptable molecular recognition and tunable signal processing for decentralized diagnostics.
  • Point-of-care testing (POCT) platforms benefit from modular and programmable biosensing elements.

Purpose of the Study:

  • To present synthetic biology-enabled IVD as programmable biosensing platforms.
  • To discuss key enabling modules and their integration into diagnostic systems.
  • To review recent clinical applications and future directions in programmable diagnostics.

Main Methods:

  • Organizing synthetic biology-enabled IVD into four functional layers: molecular recognition, signal transduction/amplification, output generation, and system integration.
  • Discussing enabling modules: cell-free protein synthesis (CFPS), aptamer/riboswitch sensors, CRISPR-Cas platforms, and microfluidic integration.
  • Summarizing clinical applications in infectious disease, cancer biomarker analysis, and drug screening (2021-2025).

Main Results:

  • Synthetic biology enables adaptable molecular recognition, tunable signal processing, and flexible readout formats for decentralized diagnostics.
  • Key modules like CFPS, CRISPR-Cas, and microfluidics facilitate the development of programmable biosensors.
  • Recent applications demonstrate potential in infectious disease detection, cancer biomarker analysis, and drug screening.

Conclusions:

  • Synthetic biology-based IVD platforms offer programmable and modular solutions for point-of-care testing.
  • Future directions include AI-assisted design, multimodal readouts, and interoperable architectures for advanced diagnostics.
  • Practical considerations like manufacturability and regulatory readiness are crucial for clinical translation.