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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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Bio-Inspired Untethered Robot-Sensor Platform for Minimally Invasive Biomedical Sensing.

Yizong Li1, Amro Halwah1, Shah R A Bhuiyan1

  • 1Department of Mechanical Engineering, Stony Brook University, Stony Brook, New York 11794 United States.

ACS Applied Materials & Interfaces
|December 5, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a snake-inspired soft kirigami robot for minimally invasive biomedical sensing. The robot efficiently deploys sensors inside the body for real-time monitoring, demonstrating potential for diagnosing conditions like gastroesophageal reflux disease.

Keywords:
bioinspirationbiomedical sensinggastroesophageal reflux diagnosiskirigamipassive sensorssoft robots

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Area of Science:

  • Biomedical Engineering
  • Robotics
  • Materials Science

Background:

  • Conventional in vivo biomedical sensing methods (catheter/probe-based) are invasive, uncomfortable, and limited for long-term monitoring.
  • Existing implantable sensors necessitate invasive procedures for placement, posing challenges for continuous health tracking.

Purpose of the Study:

  • To develop an untethered soft robot capable of minimally invasive sensor deployment and real-time wireless monitoring.
  • To create a novel locomotion mechanism inspired by snake movement for enhanced sensor delivery within the body.

Main Methods:

  • Designed a soft kirigami robot utilizing kirigami patterns for asymmetric tribological properties, mimicking snake skin locomotion.
  • Integrated passive sensors with the robot for in vivo deployment and real-time data acquisition.
  • Tested the robot's deployability, load capacity, locomotion speed, and environmental adaptability (obstacle crossing, multimodal movement).

Main Results:

  • The kirigami robot demonstrated high load capacity (150x own weight) and effective locomotion (0.25 body length/step).
  • The robot exhibited multimodal movement capabilities, including obstacle crossing, wet/dry locomotion, climbing, and inverted crawling.
  • Proof-of-concept demonstrated real-time impedance monitoring for gastroesophageal reflux disease diagnosis.

Conclusions:

  • The developed soft kirigami robot offers a promising solution for minimally invasive biomedical sensing and long-term in vivo monitoring.
  • This platform enables precise sensor deployment and secure placement for continuous data collection.
  • The robot's versatility and performance pave the way for advanced diagnostic tools in internal medicine.