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

88
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...
88
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

9.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
9.0K

You might also read

Related Articles

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

Sort by
Same author

Beyond Capacitance Ratio: Electrolyte Voltage Division and a New Impedance Model for Organic Electrochemical Transistors.

ACS applied materials & interfaces·2026
Same author

Enhanced magnetic moment discrimination for multiplex nanoparticle quantification via dual-frequency nonlinearity probing.

Communications engineering·2026
Same author

A label-free electrochemical aptasensor enables ultrasensitive and specific detection of neurofilament light.

Biosensors & bioelectronics·2026
Same author

Pullulan Coating Preserves High Conductivity in Cable Bacteria Wires.

ACS applied bio materials·2026
Same author

Revealing cell-substrate adhesion at subcellular resolution with ultra-flat field-effect transistor arrays.

Biosensors & bioelectronics·2025
Same author

Potential-pulse-assisted co-immobilization of multiple aptamers on microelectrode arrays for multiplexed neurotransmitter detection.

Biosensors & bioelectronics·2025

Related Experiment Video

Updated: May 4, 2026

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection
11:56

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

16.2K

Liquid and back gate coupling effect: toward biosensing with lowest detection limit.

Sergii Pud1, Jing Li, Volodymyr Sibiliev

  • 1Peter Grünberg Institute (PGI-8) , Forschungszentrum Jülich, Jülich 52425, Germany.

Nano Letters
|January 8, 2014
PubMed
Summary

We optimized silicon nanowire field-effect transistor (Si NW FET) sensors using noise spectroscopy. Strong gate coupling enhances signal-to-noise ratio and sensor sensitivity beyond detection limits.

More Related Videos

A Microfluidic-based Electrochemical Biochip for Label-free DNA Hybridization Analysis
14:53

A Microfluidic-based Electrochemical Biochip for Label-free DNA Hybridization Analysis

Published on: September 10, 2014

16.4K
Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
13:42

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

10.1K

Related Experiment Videos

Last Updated: May 4, 2026

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection
11:56

Nanomechanics of Drug-target Interactions and Antibacterial Resistance Detection

Published on: October 25, 2013

16.2K
A Microfluidic-based Electrochemical Biochip for Label-free DNA Hybridization Analysis
14:53

A Microfluidic-based Electrochemical Biochip for Label-free DNA Hybridization Analysis

Published on: September 10, 2014

16.4K
Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation
13:42

Dry Film Photoresist-based Electrochemical Microfluidic Biosensor Platform: Device Fabrication, On-chip Assay Preparation, and System Operation

Published on: September 19, 2017

10.1K

Area of Science:

  • Materials Science
  • Electrical Engineering
  • Nanotechnology

Background:

  • Silicon nanowire field-effect transistors (Si NW FETs) are promising for sensing applications.
  • Optimizing their operational regimes is crucial for enhancing performance.
  • Understanding gate coupling is key to improving signal-to-noise ratio.

Purpose of the Study:

  • To establish optimal operating regimes for fabricated Si NW FET sensors.
  • To investigate the coupling between liquid and back gates.
  • To enhance the sensitivity and signal-to-noise ratio of Si NW FET sensors.

Main Methods:

  • Utilized noise spectroscopy and transconductance measurements.
  • Analyzed the coupling between the liquid gate and the back gate (substrate).
  • Experimentally validated predicted increases in sensor sensitivity.

Main Results:

  • Identified optimal operating regimes for Si NW FET sensors.
  • Demonstrated a strong coupling between the liquid and back gates.
  • Achieved enhanced signal-to-noise ratios in both subthreshold and above-threshold regimes.
  • Successfully increased sensor sensitivity beyond the detection limit.

Conclusions:

  • The identified optimal regimes and gate coupling strategies significantly improve Si NW FET sensor performance.
  • Noise spectroscopy and transconductance measurements are effective tools for sensor optimization.
  • Enhanced Si NW FET sensors show potential for highly sensitive detection applications.