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

Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...
High-Performance Liquid Chromatography: Types of Detectors01:15

High-Performance Liquid Chromatography: Types of Detectors

The role of the detectors in High-Performance Liquid Chromatography (HPLC) is to analyze the solutes as they exit from the chromatographic column. The detector recognizes the solute's property and generates corresponding electrical signals, which are converted into a readable graph of the detector's response versus elution time called a chromatogram at the computer. There are several types of HPLC detectors, each with its own advantages and limitations, depending on the analyte properties and...
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy  (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used.
Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...

You might also read

Related Articles

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

Sort by
Same author

Tactile Sensing During Backward Locomotion in the Mole Cricket.

Insects·2026
Same author

Intracellular delivery of full-length antibodies via organ-targeted lipid nanoparticles.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Horseshoe bats foraging in the wild adjust sensing to separate prey echoes from background clutter.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Cognitive maps.

Current biology : CB·2026
Same author

Urbanisation Drives Microevolution in the Egyptian Fruit Bat (<i>Rousettus aegyptiacus</i>).

Evolutionary applications·2026
Same author

Biologically Constrained Insect Models Enable Realistic Simulations and Improve Biomechanical Predictions of Locomotion.

Soft robotics·2026
Same journal

Machine Learning-Assisted Label-Free SERS Decoding of Mitochondrial Molecular Dynamics in Ovarian Granulosa Cells during Aging.

Analytical chemistry·2026
Same journal

Revealing the Regulatory Interplay of NHE1 mRNA and Na<sup>+</sup> in Cancer Cells Using a DNA Nanosensor.

Analytical chemistry·2026
Same journal

Towards Cellular Resolution of Tryptic Peptides in Tissue Sections by MALDI MS Imaging: A Focus on Enzyme Application and Reproducibility.

Analytical chemistry·2026
Same journal

Bioinspired Bilayer Hydrogel Colorimetric Sensor Array for Low-Temperature Food Freshness Analysis.

Analytical chemistry·2026
Same journal

Quartz Crystal Microbalance-Based Point-of-Care Testing Systems: Principles, Device Design, and Applications.

Analytical chemistry·2026
Same journal

Heterojunction Gate-Empowered OPECT Aptasensing: A Valid Protocol for Realizing High Current Gain at Low Electron Donor Dependency.

Analytical chemistry·2026
See all related articles

Related Experiment Video

Updated: Jun 11, 2026

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules
13:15

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules

Published on: June 1, 2011

Detection of Solid-Phase Explosives Using an Electroantennogram-Based Biohybrid Sensor with Active Sniffing.

Rachel Rubinstein1, Neta Shvil2, Yossi Yovel1,2,3

  • 1School of Zoology, Tel Aviv University, Tel Aviv 69978, Israel.

Analytical Chemistry
|February 19, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel biohybrid sensor using locust antennae and machine learning for noncontact detection of explosives like TNT and RDX. The system achieves high sensitivity for hazardous compound identification without preprocessing.

More Related Videos

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
07:23

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

Related Experiment Videos

Last Updated: Jun 11, 2026

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules
13:15

Fabrication of Electrochemical-DNA Biosensors for the Reagentless Detection of Nucleic Acids, Proteins and Small Molecules

Published on: June 1, 2011

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
07:23

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches

Published on: August 4, 2014

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization
06:00

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

Area of Science:

  • Biohybrid sensing systems
  • Insect-based biosensors
  • Chemical detection technologies

Background:

  • Detecting solid-phase hazardous compounds like explosives is challenging due to low volatility.
  • Existing methods often require heating, solvent extraction, or chemical preprocessing.
  • There is a need for sensitive, noncontact detection methods for security and environmental monitoring.

Purpose of the Study:

  • To develop a biohybrid sensing system for noncontact detection of low-volatility hazardous compounds.
  • To integrate locust antenna electroantennogram (EAG) recordings with active sniffing and machine learning.
  • To assess the system's ability to detect and discriminate explosives such as TNT and RDX.

Main Methods:

  • Utilized electroantennogram (EAG) recordings from desert locust antennae.
  • Implemented a bioinspired active sniffing mechanism for sample collection.
  • Employed machine learning algorithms for classification of detected compounds.
  • Validated detection of solid-phase trinitrotoluene (TNT) and hexogen (RDX).

Main Results:

  • Achieved noncontact detection of explosives (TNT, RDX, gunpowder) without preprocessing.
  • Demonstrated reliable discrimination between explosives and nonexplosive odorants.
  • Reported a detection threshold of 2.67 pg for solid-phase TNT, comparable to existing methods.
  • Showcased the system's effectiveness in identifying hazardous materials.

Conclusions:

  • Insect-based biohybrid sensors offer a practical and low-cost approach to chemical sensing.
  • The developed system has significant potential for real-world hazardous material monitoring.
  • This technology advances noncontact detection capabilities for security and environmental applications.