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

Biosensor Strategies for Rapid African Swine Fever Virus Detection.

ACS omega·2025

Same author

Integrated Sample to Detection of Carbapenem-Resistant Bacteria Extracted from Water Samples Using a Portable Gold Nanoparticle-Based Biosensor.

Sensors (Basel, Switzerland)·2025

Same author

A Review of the Diagnostic Approaches for the Detection of Antimicrobial Resistance, Including the Role of Biosensors in Detecting Carbapenem Resistance Genes.

Genes·2025

Same author

Genomic nano-biosensor for rapid detection of the carbapenem-resistant gene <i>bla</i> <sub>NDM-1</sub> in carbapenemase-producing bacteria.

Nanoscale advances·2025

Same author

DNA-Based Nanobiosensor for the Colorimetric Detection of Dengue Virus Serotype 2 Synthetic Target Oligonucleotide.

Biosensors·2025

Same author

Parallel Detection of the Unamplified Carbapenem Resistance Genes <i>bla</i><sub>NDM-1</sub> and <i>bla</i><sub>OXA-1</sub> Using a Plasmonic Nano-Biosensor with a Field-Portable DNA Extraction Method.

Biosensors·2025

Same journal

Impact of an Artificial Albumin Corona on Surface Charge-Driven Nano-Bio Interactions and Cytotoxicity of Silver Nanoparticles.

ACS omega·2026

Same journal

Structural and Functional Disruption of Thiopurine S‑Methyltransferase by the A80P Variant: A Simulation and Genotyping Study.

ACS omega·2026

Same journal

CRISPR/Cas12a2-Mediated Ultrasensitive Assay for Rapid Detection of H1N1 Influenza Virus RNA.

ACS omega·2026

Same journal

Photocatalytic Treatment of Real Sugar Industry Wastewater Using Lignocellulosic Biomass-Derived Hydrochar/g-CN.

ACS omega·2026

Same journal

Electrochemical Dopamine Biosensor Based on Plant-Derived Peroxidase Immobilized on Titanate Nanowires.

ACS omega·2026

Same journal

Revealing the Effects of Process Parameters on Structural, Thermal, Mechanical, Biodegradation, and Biocompatibility Properties on the Electrospinning of Poly(vinyl alcohol)/Microbial Inulin Nanofibers.

ACS omega·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 11, 2026

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

Published on: November 28, 2016

Proof-of-Concept Nanoparticle-Based Biosensor for Detecting the African Swine Fever Virus Across Multiple Genotypes

Chelsie Boodoo¹, Evangelyn C Alocilja¹

¹Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, 48824 Michigan, United States.

|November 10, 2025

Summary

This summary is machine-generated.

A novel gold nanoparticle biosensor effectively detects African swine fever virus (ASFV) using optimized oligonucleotide probes. This advancement aids in rapid ASFV diagnosis, crucial for controlling this swine disease.

More Related Videos

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings

Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings

Published on: August 18, 2023

Related Experiment Videos

Last Updated: May 11, 2026

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

High-throughput Detection of Respiratory Pathogens in Animal Specimens by Nanoscale PCR

Published on: November 28, 2016

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings

Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings

Published on: August 18, 2023

Area of Science:

Veterinary Virology
Nanotechnology in Diagnostics
Molecular Biology

Background:

African swine fever virus (ASFV) causes a highly lethal hemorrhagic disease in swine, significantly impacting global food security and livestock economies.
Accurate and rapid ASFV detection is essential for controlling outbreaks and preventing economic losses.

Purpose of the Study:

To evaluate a gold nanoparticle-based biosensor for ASFV detection targeting the p72 gene.
To identify optimal oligonucleotide probes offering high sensitivity, specificity, and broad genotypic coverage for ASFV detection.

Main Methods:

Utilized eight oligonucleotide probes designed to target the ASFV p72 gene.
Performed genomic sequence alignments using Clustal Omega to assess probe compatibility across ASFV genotypes.
Employed spectrophotometric analysis to evaluate biosensor performance with synthetic ASFV DNA, testing sensitivity via serial dilutions and specificity against bacterial DNA.

Main Results:

Probes 2 and 5 exhibited superior performance, detecting as few as 550 ASFV DNA copies within a 5-minute reaction time.
Demonstrated no cross-reactivity with nontarget DNA and strong binding across diverse ASFV genotypes.
Found a significant negative correlation between GC content and sensitivity (ρ = -0.80, p = 0.016), highlighting GC content's importance in probe design.

Conclusions:

Optimized oligonucleotide probes, particularly those with specific GC content, are critical for sensitive and specific ASFV detection using gold nanoparticle biosensors.
Integrating genomic alignment with experimental validation is key for effective biosensor probe design and ASFV diagnostic development.