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...

Automated Microbial Diagnostics

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

You might also read

Related Articles

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

Sort by

Same author

Homogeneous PDA/Fe<sub>3</sub>O<sub>4</sub> Nanocomposites and 3D-HCR/AgNCs-Based One-Pot Biosensor for Triple-Modal Nucleic Acid Detection.

Analytical chemistry·2026

Same author

S9.6 Antibody-Mediated Bivalent Capture Biosensor Using Vacuum-Assembled HCR Amplifier for One-Pot, Record-Fast and Ultrasensitive Detection of Nucleic Acid.

Analytical chemistry·2025

Same author

S9.6 Antibody-Mediated Wireless Portable Biosensor with Multiple Affinity Enhancements for Comprehensive Detection of Nucleic Acid in Serum.

Analytical chemistry·2025

Same author

An entropy-driven signal-off DNA circuit for label-free, visual detection of small molecules with enhanced accuracy.

Analytical methods : advancing methods and applications·2022

Same author

Tunable Dual-Effector Allostery System for Nucleic Acid Analysis with Enhanced Sensitivity and an Extended Dynamic Range.

Analytical chemistry·2021

Same author

Highly Sensitive Determination of 2,4,6-Trichlorophenol by Using a Novel SiO<sub>2</sub>@MIPIL Fluorescence Sensor with a Double Recognition Functional Monomer.

ACS sensors·2020

Same journal

Modeling the Effects of Short-Range Randomness in Packed Sphere Beds.

Analytical chemistry·2026

Same journal

Mitochondrial Redox Cascade-Directed Covalent NIR Fluorogenic Imaging of Therapy-Induced Senescence Integrates Tumor and Host Responses.

Analytical chemistry·2026

Same journal

Proteomic Profiling of RHD-Related Mitral Annulus Calcification Enabled by Magnetic Carbon Nanomaterial-Supported Quasi-Immobilized Enzyme Digestion.

Analytical chemistry·2026

Same journal

Spatial-Photonic Encoding on a Single Fiber: Breaking the Bottleneck in Photoelectrochemical Biosensing for Precision Diagnostics.

Analytical chemistry·2026

Same journal

Spreadable Biosensing Pregel for Analyte Visualization in Peeled Plant Tissues.

Analytical chemistry·2026

Same journal

DARibo-Q: RNA Allosteric Transduction for Fluorescence Imaging of Dopamine Modulation in Living Systems.

Analytical chemistry·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 24, 2026

Bacterial Detection & Identification Using Electrochemical Sensors

Bacterial Detection & Identification Using Electrochemical Sensors

Published on: April 23, 2013

Enzymatic Cycle-Inspired Dynamic Biosensors Affording No False-Positive Identification.

Guobao Zhou¹, Xing Lu¹, Mengmeng Yuan¹

¹Jiaxing Key Laboratory of Molecular Recognition and Sensing, College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing 314001, P. R. China.

Analytical Chemistry

|November 12, 2021

Summary

This summary is machine-generated.

This study introduces dynamic biosensors that use allosteric tools to accurately detect nucleic acids in clinical samples. These biosensors distinguish true positives from false positives by analyzing signal variations across repeated measurements, improving diagnostic precision.

More Related Videos

Development of an Electrochemical DNA Biosensor to Detect a Foodborne Pathogen

Development of an Electrochemical DNA Biosensor to Detect a Foodborne Pathogen

Published on: June 3, 2018

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

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

Published on: February 16, 2018

Related Experiment Videos

Last Updated: Jun 24, 2026

Bacterial Detection & Identification Using Electrochemical Sensors

Bacterial Detection & Identification Using Electrochemical Sensors

Published on: April 23, 2013

Development of an Electrochemical DNA Biosensor to Detect a Foodborne Pathogen

Development of an Electrochemical DNA Biosensor to Detect a Foodborne Pathogen

Published on: June 3, 2018

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

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

Published on: February 16, 2018

Area of Science:

Biotechnology
Molecular Diagnostics
Biosensor Technology

Background:

Accurate nucleic acid detection in clinical samples is crucial for diagnosis.
Current methods face challenges with false positives from nonspecific interactions.
Distinguishing true from false positives remains a key challenge in nucleic acid screening.

Purpose of the Study:

To develop advanced biosensors for reliable nucleic acid detection.
To overcome limitations of current methods by minimizing false-positive identifications.
To create dynamic biosensors capable of repeated measurements for enhanced accuracy.

Main Methods:

Developed an allosteric tool with invertible cooperativity for biosensing probe control.
Utilized toehold displacement and enzymatic reactions for effector silencing and regeneration.
Engineered dynamic biosensors for repeated measurement of single nucleic acid samples.

Main Results:

Demonstrated reversible or cyclic activity control of biosensing probes via allosteric effectors.
Showcased the ability of dynamic biosensors to repeatedly measure a single nucleic acid sample.
Established that signal variation diversity distinguishes specific target binding from nonspecific interactions.

Conclusions:

Dynamic biosensors precisely identify true-positive nucleic acid signals by analyzing diverse signal variations across repeated measurements.
Nonspecific interactions yield equivalent signal variations, allowing for effective false-positive discrimination.
These novel biosensors present significant opportunities for improved physiological and pathological diagnosis.