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Bacterial Detection & Identification Using Electrochemical Sensors
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Rhinophore bio-inspired stretchable and programmable electrochemical sensor.

Shuqi Wang1, Chunyan Qu1, Lin Liu2

  • 1i-Lab, and Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), 398 Ruoshui Road, Suzhou, Jiangsu, 215123, PR China.

Biosensors & Bioelectronics
|July 22, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a stretchable electrochemical sensor inspired by marine mollusks, offering tunable glucose detection for diverse applications. The bionic sensor mimics natural sensory organs for advanced chemical tracking.

Keywords:
Bio-inspiredGlucose sensorProgrammable sensitivityRhinophoreStretchable sensor

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Area of Science:

  • Bionics and Sensor Technology
  • Materials Science
  • Electrochemistry

Background:

  • Marine mollusks possess rhinophore organs for tunable chemosensing, enabling far/near-field detection and source orientation.
  • Current artificial biochemical sensors lack tunable sensing modalities, limiting their application scope.
  • Mimicking the rhinophore's structure and function is key to developing advanced artificial sensory systems.

Purpose of the Study:

  • To develop a stretchable electrochemical sensor with programmable electro-catalytic performance for glucose detection.
  • To investigate the influence of strain on sensor sensitivity and modality.
  • To replicate bio-inspired sensory functions for chemical detection and source localization.

Main Methods:

  • Fabrication of a stretchable bionic sensor using an elastic fiber with a regulated gold nanomembrane.
  • Utilizing geometrical design and covalent bonding for mechanical and electrical stability.
  • Conducting electrochemical tests to evaluate sensor performance under varying strain states (0% to 150%).

Main Results:

  • Sensor sensitivity showed a linear relationship with strain, from 0% to 150%.
  • Achieved high sensitivity (195.4 μA mM⁻¹) at 150% strain for low glucose concentrations (8-206 μM), suitable for far-field detection.
  • Demonstrated lower sensitivity (14.2 μA mM⁻¹) at 0% strain for high glucose concentrations (10-100 mM), suitable for near-field detection.
  • Sensor extension enhanced response signals, enabling molecule source direction detection.

Conclusions:

  • The developed stretchable bionic sensor successfully mimics the tunable sensing capabilities of natural rhinophores.
  • Programmable electro-catalytic performance based on strain regulation offers versatile glucose detection.
  • Potential applications include wearable devices, robotics, and smart chemical tracking systems requiring multi-modal sensing.