Jove
Visualize
Contact Us

Related Concept Videos

Flame Photometry: Overview01:02

Flame Photometry: Overview

872
Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
872
Flame Photometry: Lab01:16

Flame Photometry: Lab

441
In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...
441
IR Spectrometers01:25

IR Spectrometers

1.6K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
1.6K
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

2.6K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
2.6K
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

587
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...
587
Gas Chromatography: Types of Detectors-I01:21

Gas Chromatography: Types of Detectors-I

735
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,...
735

You might also read

Related Articles

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

Sort by
Same author

Virtual Spectral Selectivity in a Modulated Thermal Infrared Emitter with Lock-In Detection.

Sensors (Basel, Switzerland)·2022
Same author

Fast Quantification of Air Pollutants by Mid-Infrared Hyperspectral Imaging and Principal Component Analysis.

Sensors (Basel, Switzerland)·2021
See all related articles
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 Experiment Video

Updated: Oct 8, 2025

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

6.3K

Multispectral Mid-Infrared Camera System for Accurate Stand-Off Temperature and Column Density Measurements on

Juan Meléndez1, Guillermo Guarnizo1

  • 1LIR-Infrared Laboratory, Department of Physics, Universidad Carlos III de Madrid, 28911 Leganés, Spain.

Sensors (Basel, Switzerland)
|December 28, 2021
PubMed
Summary
This summary is machine-generated.

Multispectral imaging offers a cheaper and faster alternative to hyperspectral imaging for measuring flame temperature (T) and carbon dioxide (CO2) column density (Q). This method shows promising accuracy for industrial applications, especially for temperature measurements.

Keywords:
combustion monitoringfourier transformhyperspectral imagingimage processinginfrared imagingmultispectral imagingremote sensing and sensorsspectroscopy

More Related Videos

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
10:29

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

Published on: June 1, 2016

12.0K
Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
07:24

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer

Published on: February 19, 2018

10.2K

Related Experiment Videos

Last Updated: Oct 8, 2025

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

6.3K
Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames
10:29

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

Published on: June 1, 2016

12.0K
Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer
07:24

Combustion Chemistry of Fuels: Quantitative Speciation Data Obtained from an Atmospheric High-temperature Flow Reactor with Coupled Molecular-beam Mass Spectrometer

Published on: February 19, 2018

10.2K

Area of Science:

  • Physical Chemistry
  • Spectroscopy
  • Combustion Science

Background:

  • Accurate flame temperature and species concentration measurements are crucial for industrial applications.
  • Hyperspectral imaging provides high accuracy but is expensive and complex.
  • There is a need for more cost-effective and simpler flame measurement techniques.

Purpose of the Study:

  • To investigate the feasibility and performance of multispectral imaging for retrieving temperature (T) and carbon dioxide column density (QCO2) in flames.
  • To compare multispectral imaging results with established hyperspectral imaging data.
  • To evaluate the impact of the number of filters on measurement accuracy.

Main Methods:

  • Employed both hyperspectral and multispectral imaging techniques.
  • Utilized a mid-infrared camera with a six-filter wheel for multispectral measurements.
  • Applied methods to a standard flame and a Bunsen flame.
  • Used hyperspectral results as ground truth for comparison.

Main Results:

  • Multispectral imaging achieved an average relative error of ~5% for temperature (T) and ~20% for carbon dioxide column density (QCO2) in regions with T ≳1300 K.
  • Temperature accuracy improved to ~2.5% with a linear regression correction.
  • Results with four filters were comparable to six filters; two filters showed reduced accuracy for QCO2.

Conclusions:

  • Multispectral imaging is a viable, cost-effective alternative to hyperspectral imaging for flame analysis.
  • The technique demonstrates acceptable accuracy for temperature and CO2 measurements in flames.
  • Further optimization with fewer filters is possible, particularly for temperature retrieval.