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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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Single-molecule quantum tunnelling sensors.

Long Yi1,2, Yuxin Yang1, Biao-Feng Zeng1

  • 1State Key Laboratory of Extreme Photonics and Instrumentation, Interdisciplinary Centre for Quantum Information, College of Optical Science and Engineering, Zhejiang University, Hangzhou 310027, China. lhtang@zju.edu.cn.

Chemical Society Reviews
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This summary is machine-generated.

Quantum tunnelling sensors offer unparalleled sensitivity for observing single molecules. These advanced tools enable detailed studies of molecular dynamics and function, paving the way for new molecular devices.

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Area of Science:

  • Chemistry
  • Physics
  • Materials Science
  • Nanotechnology

Background:

  • Single-molecule sensors are crucial for understanding chemical and biological processes.
  • Quantum tunnelling sensors provide exceptional sensitivity to molecular changes.
  • They offer high spatial and temporal resolution for observing dynamic molecular events.

Purpose of the Study:

  • To review the principles and experimental architectures of quantum tunnelling sensors.
  • To examine their applications in molecular characterization and function.
  • To discuss advancements in data analysis and future potential.

Main Methods:

  • Electron tunnelling through molecular junctions.
  • Mechanically controllable break junctions.
  • Scanning tunnelling microscopy (STM).

Main Results:

  • Quantum tunnelling sensors enable sub-ångström precision and sub-millisecond temporal resolution.
  • Applications include studying molecular conformation, binding, reactivity, and biomolecular function.
  • Machine learning enhances data interpretation and analysis throughput.

Conclusions:

  • Quantum tunnelling sensors have transformative potential for molecular science.
  • They advance understanding of molecular mechanisms.
  • They guide the design of novel molecular devices and diagnostics.