Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Microbial Biosensors

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

Validation of molecular profiling to preoperatively predict aggressive pathologic features in differentiated thyroid cancer.

Surgery·2025

Same author

The Effect of Xenon on the Voltage‒Current Characteristics of Tethered Lipid Bilayers.

The Journal of membrane biology·2025

Same author

Assessing Changes in Nonspecific Symptoms After Parathyroidectomy for Primary Hyperparathyroidism Using a Smartwatch.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists·2024

Same author

The Use of Near-Infrared Indocyanine Green Fluorescence Imaging to Differentiate Benign Versus Malignant Adrenal Tumors.

Journal of surgical oncology·2024

Same author

Triglyceride-Tethered Membrane Lipase Sensor.

ACS applied materials & interfaces·2023

Same author

The Effect of Benzyl Alcohol on the Voltage-Current Characteristics of Tethered Lipid Bilayers.

The Journal of membrane biology·2023

Same journal

Recent developments of textile-based triboelectric nanogenerators for smart sports applications.

Biosensors & bioelectronics·2026

Same journal

One-Tube RPA-CRISPR-Cas13a assay with rational design for single-molecule detection of waterborne viruses in drinking water treatment.

Biosensors & bioelectronics·2026

Same journal

AI-driven photophysics-aware design of fluorescent probes with applications in α-synuclein biosensing and inhibitor screening.

Biosensors & bioelectronics·2026

Same journal

Three-dimensional helical integration of high-density linear microelectrode arrays and their cross-tissue applications.

Biosensors & bioelectronics·2026

Same journal

Integration of electrochemical sensors in organ-on-a-chip microfluidic platforms: Advances and perspectives.

Biosensors & bioelectronics·2026

Same journal

DNN-PURE: A deep neural network approach to paper-based urea sensing.

Biosensors & bioelectronics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 24, 2026

In vitro Assembly of Semi-artificial Molecular Machine and its Use for Detection of DNA Damage

In vitro Assembly of Semi-artificial Molecular Machine and its Use for Detection of DNA Damage

Published on: January 11, 2012

A molecular machine biosensor: construction, predictive models and experimental studies.

Sahar Moradi-Monfared¹, Vikram Krishnamurthy, Bruce Cornell

¹Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada. smonfare@ece.ubc.ca

Biosensors & Bioelectronics

|March 13, 2012

Summary

This summary is machine-generated.

This study presents a novel molecular machine biosensor using gramicidin A ion channels for highly sensitive detection of target molecules. Predictive models enable accurate performance forecasting and design optimization for this advanced diagnostic tool.

More Related Videos

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

Analyzing Dynamic Protein Complexes Assembled On and Released From Biolayer Interferometry Biosensor Using Mass Spectrometry and Electron Microscopy

Analyzing Dynamic Protein Complexes Assembled On and Released From Biolayer Interferometry Biosensor Using Mass Spectrometry and Electron Microscopy

Published on: August 6, 2018

Related Experiment Videos

Last Updated: May 24, 2026

In vitro Assembly of Semi-artificial Molecular Machine and its Use for Detection of DNA Damage

In vitro Assembly of Semi-artificial Molecular Machine and its Use for Detection of DNA Damage

Published on: January 11, 2012

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

Analyzing Dynamic Protein Complexes Assembled On and Released From Biolayer Interferometry Biosensor Using Mass Spectrometry and Electron Microscopy

Analyzing Dynamic Protein Complexes Assembled On and Released From Biolayer Interferometry Biosensor Using Mass Spectrometry and Electron Microscopy

Published on: August 6, 2018

Area of Science:

Molecular machines
Biosensor technology
Nanotechnology

Background:

Enzyme-linked immunosorbent assays (ELISA) require extensive sample preparation.
Existing biosensors often lack sensitivity and objective measurement capabilities.
Molecular machines offer potential for novel diagnostic applications.

Purpose of the Study:

To construct and characterize a high-sensitivity molecular machine biosensor.
To develop predictive models for biosensor operation and performance.
To demonstrate rapid, sensitive detection in complex biological media.

Main Methods:

Fabrication of biochip arrays with embedded gramicidin A ion channels in tethered lipid bilayers.
Utilizing ion channel activity as biological switches for molecular detection.
Developing computational models for analyte fluid flow and surface chemical reactions.
Experimental validation of biosensor performance across a range of analyte concentrations.

Main Results:

Demonstrated high sensitivity molecular detection using gramicidin A ion channels.
Achieved rapid, sensitive point-of-care diagnostics in serum, plasma, and whole blood without pre-processing.
Developed predictive models accurately forecasting biosensor response.
Identified key design variables including ion channel lifetime and interaction rate constants.

Conclusions:

The molecular machine biosensor offers a sensitive, rapid, and objective diagnostic platform.
Predictive modeling is crucial for understanding and optimizing molecular machine design.
This technology has potential for point-of-care diagnostics, reducing sample preparation needs.