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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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Multifunctional Flexible Sensor with Bionic Micro-Nano Hierarchical Structure for Dual-Mode Pressure and Temperature

Dandan Xu1,2, Peilin Zhou1,2, Junru Ma1

  • 1College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, China.

Small (Weinheim an Der Bergstrasse, Germany)
|March 20, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a bionic multifunctional sensor inspired by nature, capable of simultaneously detecting pressure and temperature. This advanced sensor shows great potential for healthcare and human-machine interaction applications.

Keywords:
bionicdeep learninghuman‐machine interactionmicro‐nano hierarchical structuremultifunctional sensorpressure‐temperature sensing

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Biomimetics

Background:

  • Flexible electronic devices are crucial for healthcare and electronic skin applications.
  • Existing multifunctional sensors face challenges in performance and signal decoupling.
  • Bioinspiration offers novel strategies for sensor design.

Purpose of the Study:

  • To develop a bionic multifunctional (BMF) sensor with enhanced performance.
  • To achieve simultaneous pressure and temperature sensing.
  • To explore applications in healthcare and human-machine interaction.

Main Methods:

  • Fabrication of a BMF sensor using MXene-coated melamine foam and CNT/PVDF nanofiber membrane.
  • Incorporation of a micro-nano hierarchical structure for hydrophobicity.
  • Integration into sensor arrays for pressure-temperature mapping.

Main Results:

  • Achieved ultra-high pressure sensitivity (986.51 kPa⁻¹) and wide detection range (0-200 kPa).
  • Demonstrated fast response time (22 ms) and notable temperature sensitivity (9.891 µVK⁻¹).
  • Successfully monitored human physiological signals and enabled intelligent gesture recognition.

Conclusions:

  • The BMF sensor exhibits excellent performance for simultaneous multi-modal sensing.
  • The developed sensor has significant potential in healthcare, robotics, and AI-driven human-machine interaction.
  • Bioinspired design provides a viable pathway for advanced sensor development.