Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Spatiotemporal genomic analysis and risk assessment of the plasmids carrying bla<sub>OXA-48-like</sub> genes based on a large-scale international dataset.

BMC microbiology·2026
Same author

Dietary Matrine Supplementation Enhances Growth, Immunity and Disease Resistance in Nile Tilapia (<i>Oreochromis niloticus</i>).

Animals : an open access journal from MDPI·2026
Same author

Difference in the inhibitory mechanism against TMPRSS2 between camostat and nafamostat: implications for drug design.

Physical chemistry chemical physics : PCCP·2025
Same author

Optical Fiber Methane Sensor Based on Mach-Zehnder Interferometer Induced by Multimode Interference.

Micromachines·2025
Same author

Structural insights into the mechanotransducing mechanism of FtsEX in cell division.

MedComm·2024
Same author

High sensitivity optical pressure sensor based on graphene/molybdenum disulfide composite film.

Optics letters·2024

Related Experiment Video

Updated: Jun 25, 2026

Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
08:22

Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor

Published on: February 16, 2018

12.6K

Bioinspired Neuromorphic Pressure Sensor with Ultra-Broad Range and High Sensitivity for Intelligent Flexible

Jingfu Yuan1, Fuling Yang1,2, Jing Wang1,2

  • 1School of Mechanical and Electrical Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.

ACS Applied Materials & Interfaces
|February 16, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a biomimetic pressure sensor using a ZnO micronetwork inspired by nervous systems. This novel sensor achieves ultra-broad pressure sensing with high sensitivity and stability, paving the way for advanced neuromorphic electronic devices.

Keywords:
ZnObiomimeticmachine learningneuronpressure sensor

More Related Videos

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique
10:28

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

Published on: March 24, 2023

2.7K
Author Spotlight: Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing
05:57

Author Spotlight: Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing

Published on: March 17, 2023

4.4K

Related Experiment Videos

Last Updated: Jun 25, 2026

Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
08:22

Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor

Published on: February 16, 2018

12.6K
Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique
10:28

Sensitivity Enhancement of Soft Capacitive Pressure Sensors Using a Solvent Evaporation-Based Porosity Control Technique

Published on: March 24, 2023

2.7K
Author Spotlight: Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing
05:57

Author Spotlight: Microfluidic Channel-Based Soft Electrodes and Their Application in Capacitive Pressure Sensing

Published on: March 17, 2023

4.4K

Area of Science:

  • Materials Science
  • Biomimetics
  • Neuroscience

Background:

  • Biological nervous systems offer a dynamic topological network architecture ideal for high-performance sensor design.
  • Existing sensors lack the sensitivity and adaptability of biological systems.

Purpose of the Study:

  • To construct a ZnO-based biomimetic pressure sensor mimicking neuronal structures.
  • To investigate the synergistic modulation of quantum tunneling and contact resistance effects.
  • To introduce an opto-mechano-electronic synergistic modulation mechanism for enhanced stability.

Main Methods:

  • Hydrothermal self-assembly to create a ZnO micronetwork with 3D neuronal branching.
  • Utilizing synapse-mimetic connections for modulation of electrical properties.
  • Implementing ultraviolet light excitation for opto-mechano-electronic synergy.

Main Results:

  • Achieved a triple-stage sensitivity gradient (S1=20.0 kPa⁻¹, S2=93.1 kPa⁻¹, S3=124.1 kPa⁻¹) over an ultrabroad pressure range (0.016–500 kPa).
  • Enhanced sensor stability by 15.7% using opto-mechano-electronic modulation.
  • Demonstrated high accuracy (98.3% for action recognition, 96.8% for Morse code conversion) in intelligent perception systems.

Conclusions:

  • The biomimetic sensor offers a novel design paradigm for neuromorphic electronic devices.
  • The study validates the potential of reconstructing biological topological networks for advanced sensing.
  • This work provides a pathway for developing adaptive perception and human-machine interaction systems.