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...
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

There are different types of detectors used in gas chromatography, each with its own specific properties that make it suitable for detecting certain types of analytes. The most commonly used detectors in GC are thermal conductivity detector (TCD), flame ionization detector (FID), and electron capture detector (ECD).
TCD is the earliest and most widely used detector that operates by measuring the changes in the thermal conductivity of the carrier gas. When a sample compound enters the detector,...
Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

Detectors in gas chromatography (GC) help identify and quantify the components of a mixture by translating chemical properties into measurable signals, which are displayed on a chromatogram. Detectors can be categorized into two main types: destructive and non-destructive.
A non-destructive detector allows a sample to be analyzed without altering or consuming it, meaning the sample can be collected after detection for further analysis. Examples include thermal conductivity detectors and...

You might also read

Related Articles

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

Sort by
Same author

The IL-17A modulating astrocytic activity was associated with the electroacupuncture-mediated improvement of sensorimotor ability after stroke.

Chinese medicine·2026
Same author

Uniform Pt Nanoparticles Anchored on Graphdiyne Nanowalls for Sensitive and Rapid NO<sub>2</sub> Detection at Room Temperature.

ACS sensors·2026
Same author

Design, Synthesis and Antiviral Evaluation of Pyrido[1,2-<i>c</i>]pyrimidin-1-one Derivatives Against Porcine Epidemic Diarrhea Virus (PEDV).

Molecules (Basel, Switzerland)·2026
Same author

Amplification and measurement of sub-degree Faraday rotation based on Fresnel reflection and division-of-focal-plane polarimeters.

The Review of scientific instruments·2026
Same author

Photo-Induced Stereoselective Synthesis of C-Glycosides via Conformation-Locked Glycosyl Radical Coupling.

The Journal of organic chemistry·2026
Same author

Stage-level prefire localization in linear transformer drivers via mask-augmented residual temporal convolutional networks.

The Review of scientific instruments·2026
Same journal

Robust and Sensitive Electrochemical Biosensor Based on Cascade Interface Engineering for piRNA Detection in Breast Cancer Diagnosis.

ACS sensors·2026
Same journal

CRISPR-Cas-Based Platform for Single-Step Quantification of Monoclonal Antibodies at Point-of-Care.

ACS sensors·2026
Same journal

Engineering Guide RNAs for CRISPR-Based Biosensors.

ACS sensors·2026
Same journal

Multimodal Detection of Low Water Contents in Ethanol Using a Plasmon-Berreman-Enhanced Metasurface Infrared Absorber.

ACS sensors·2026
Same journal

3D-Printed Hollow Microneedle Potentiometric Sensors: A Modular Approach.

ACS sensors·2026
Same journal

A Genetically Encoded Fluorescent Sensor for Protein Arginine Phosphorylation.

ACS sensors·2026
See all related articles

Related Experiment Video

Updated: Jun 7, 2026

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry
08:23

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry

Published on: March 9, 2018

Machine Learning-Enabled Gas Sensor Based on MOF-Derived In2O3-CuO for Exhaled CO Detection.

Fan Zhao1, Zhiyuan Jiang2, Xiangrui Jiang3

  • 1School of Future Technology, Xi 'an Jiaotong University, Xi 'an, Shaanxi 710049, China.

ACS Sensors
|June 5, 2026
PubMed
Summary
This summary is machine-generated.

This study developed a novel electronic nose using In2O3-CuO sensors for noninvasive neonatal jaundice screening. It accurately detects carbon monoxide (CO) in breath, offering a reliable diagnostic platform.

Keywords:
In2O3–CuOMEMS gas sensorbimetallic MOF-derived oxidesexhaled CO detectionmachine learning-enabled sensingp–n heterojunction

More Related Videos

Dual Test Gas Pulmonary Diffusing Capacity Measurement During Exercise in Humans Using the Single-Breath Method
08:44

Dual Test Gas Pulmonary Diffusing Capacity Measurement During Exercise in Humans Using the Single-Breath Method

Published on: February 2, 2024

Related Experiment Videos

Last Updated: Jun 7, 2026

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry
08:23

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry

Published on: March 9, 2018

Dual Test Gas Pulmonary Diffusing Capacity Measurement During Exercise in Humans Using the Single-Breath Method
08:44

Dual Test Gas Pulmonary Diffusing Capacity Measurement During Exercise in Humans Using the Single-Breath Method

Published on: February 2, 2024

Area of Science:

  • Materials Science
  • Chemical Sensing
  • Biomedical Engineering

Background:

  • Neonatal jaundice screening requires precise, noninvasive methods for detecting carbon monoxide (CO) in breath.
  • Existing methods face challenges in specifically identifying CO within complex breath matrices.

Purpose of the Study:

  • To develop an electronic nose system for accurate, noninvasive detection of CO as a biomarker for neonatal jaundice.
  • To overcome cross-sensitivity issues with interfering gases in clinical breath analysis.

Main Methods:

  • Fabrication of In2O3-CuO sensors from bimetallic metal-organic frameworks (Bi MOFs).
  • Assembly of a microsensor array and construction of an electronic nose system with linear discriminant analysis.
  • Application of thermodynamic feature engineering and machine learning for data analysis and algorithm optimization.

Main Results:

  • The five-sensor In2O3-CuO electronic nose accurately discriminated between CO and acetone.
  • A single sensor demonstrated high reproducibility, moisture resistance, stability, a 1 ppm detection limit, and rapid response/recovery times (5/21 s).
  • The system achieved 82% cross-validation accuracy for qualitative CO identification (1-50 ppm), addressing cross-sensitivity with C3H6O.

Conclusions:

  • The developed electronic nose provides a reliable technical platform for noninvasive screening of neonatal jaundice.
  • Thermodynamic feature-driven machine learning enhances sensor array performance, reducing data and computational demands.
  • This approach offers a promising solution for early detection of bilirubin metabolic abnormalities.