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...
¹³C NMR: ¹H–¹³C Decoupling01:04

¹³C NMR: ¹H–¹³C Decoupling

The probability of having two carbon-13 atoms next to each other is negligible because of the low natural abundance of carbon-13. Consequently, peak splitting due to carbon-carbon spin-spin coupling is not observed in spectra. However, protons up to three sigma bonds away split the carbon signal according to the n+1 rule, resulting in complicated spectra.
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
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,...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...

You might also read

Related Articles

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

Sort by
Same author

Reduced myocardial NRG-1/ErbB4 signaling is associated with STING-linked macrophage pyroptotic signaling in sepsis-induced cardiac injury.

International immunopharmacology·2026
Same author

Research on the influence mechanism of particle size on the migration and deposition law of weathered crust elution-deposited rare earth ores.

Scientific reports·2026
Same author

Dimerization-induced conformational transitions of yeast iso-1 cytochrome <i>c</i>.

Magnetic resonance letters·2026
Same author

Calcined oyster shell powder as a lime substitute in earthen building materials.

Scientific reports·2026
Same author

Enhanced Anti-Counterfeiting Using Dynamic Encryption with Dual Physically Unclonable Functions.

ACS applied materials & interfaces·2026
Same author

A ppb-Level Chloroform Photoacoustic Gas Sensor Based on Omnidirectional Acoustic Sensing with a 3D Microphone Phased Array.

Analytical chemistry·2026
Same journal

Evaluating the Performance of Photon- and Electron-Based Fragmentation Methods in Omnitrap-LCMS Analysis of <i>N</i>-Glycopeptides.

Analytical chemistry·2026
Same journal

Multiplexed Sepsis Immunosorbent Assay Based on Flower-like CoFe<sub>2</sub>O<sub>4</sub>/MoS<sub>2</sub> with Dual Substrate Affinity.

Analytical chemistry·2026
Same journal

Coreactant-Filled Hydrogel at Ruthenium-Labeled Brain Tissue Section for Electrochemiluminescence Imaging in Gel.

Analytical chemistry·2026
Same journal

High-Throughput Screening of Isomeric Reaction Products by Droplet Microfluidics Coupled to Cyclic Ion Mobility-Mass Spectrometry.

Analytical chemistry·2026
Same journal

Prostate Cancer Detection in Urine Using the Fusion of LIBS, FTIR Dual Spectra and FTIR Reconstructed Image.

Analytical chemistry·2026
Same journal

An In Situ Gelled PCA-Na/Gelatin Hydrogel Plant Wearable Sensor Patch Based on Synergistic Enhancement Strategy for Atrazine Detection.

Analytical chemistry·2026
See all related articles
  1. Home
  3. Photoacoustic Multigas Sensor Via Cnn-based Mode Division Multiplexing.
  1. Home
  3. Photoacoustic Multigas Sensor Via Cnn-based Mode Division Multiplexing.

Related Experiment Video

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
10:42

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Published on: March 22, 2019

Photoacoustic Multigas Sensor via CNN-Based Mode Division Multiplexing.

Mu Liang1, Mingyang Feng2, Xuchen Li2

  • 1International Joint Laboratory for Integrated Circuits Design and Application, Ministry of Education, School of Physics, Zhengzhou University, Zhengzhou 450001, China.

Analytical Chemistry
|May 27, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

A new convolutional neural network-based mode division multiplexing (CNN-MDM) offers universal simultaneous multigas detection. This advanced method overcomes limitations of previous techniques, enabling accurate analysis in environmental monitoring and equipment diagnostics.

More Related Videos

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
09:57

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection
08:01

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection

Published on: December 15, 2015

Related Experiment Videos

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
10:42

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing

Published on: March 22, 2019

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
09:57

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection
08:01

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection

Published on: December 15, 2015

Area of Science:

  • Photoacoustic spectroscopy
  • Gas sensing technology
  • Artificial intelligence in analytical chemistry

Background:

  • Existing multigas detection methods like TDM, FDM, and MDM have limitations in simultaneous detection, cost, and universality.
  • Mode division multiplexing (MDM) requires distinct gas signal waveforms and linear superposition, limiting its applicability.
  • Accurate multigas detection is crucial for environmental monitoring and power equipment fault diagnosis.

Purpose of the Study:

  • To develop a universal mode division multiplexing (MDM) solution for simultaneous, same-frequency multigas detection.
  • To overcome the limitations of existing MDM techniques by accommodating diverse waveform characteristics and nonlinear superposition.
  • To introduce a novel convolutional neural network-based MDM (CNN-MDM) approach for enhanced gas sensing.

Main Methods:

  • Proposed a novel CNN-MDM technology assigning unique waveform characteristics to different gases during modulation.
  • Utilized a convolutional neural network (CNN) to identify and separate mixed gas signals.
  • Conducted experiments using SF6 decomposition components (H2S and CO) as detection targets.

Main Results:

  • The CNN-MDM scheme demonstrated applicability to various waveform characteristics and both linear and nonlinear superposition.
  • Achieved high linearity between separated signals and gas concentrations (R² values of 0.996 for CO, 0.995 for H2S).
  • Established detection limits of 50 ppb for CO and 426 ppb for H2S.

Conclusions:

  • The CNN-MDM scheme provides a universal framework for simultaneous same-frequency multigas detection.
  • This approach is adaptable to photoacoustic systems with mixed modulation modes and tunable diode laser absorption spectroscopy (TDLAS).
  • The developed method significantly advances multigas detection capabilities for environmental and industrial applications.