Jove
Visualize
Contact Us

Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

1.4K
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...
1.4K
IR Spectrum01:19

IR Spectrum

896
When infrared (IR) radiation passes through a molecule, the bonds stretch or bend by absorbing the radiation. This absorption creates the molecule's absorption spectrum, which is the plot of its percentage transmittance versus wavenumber.
Transmittance is defined as the ratio of the radiant power passing through a sample to that from the radiation's source. Multiplying the transmittance by 100 gives the percent transmittance (%T), which varies between 100% (no absorption) and 0%...
896
IR Spectrometers01:25

IR Spectrometers

1.1K
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...
1.1K
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

2.9K
Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
The essential components of a spectrophotometer include a source of electromagnetic radiation, a slot for placing a material to be analyzed, and a...
2.9K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

707
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
707
IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

896
In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
896

You might also read

Related Articles

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

Sort by
Same author

Nutritional, Microbial and Environmental Perspectives in Sustainable Broiler Production.

Nutrition research reviews·2026
Same author

The Association between Broiler Litter Microbiota and the Supplementation of <i>Bacillus</i> Probiotics in a Leaky Gut Model.

Animals : an open access journal from MDPI·2024
Same author

Direct surface wetting sprinkler system to reduce the use of evaporative cooling pads in meat chicken production: indoor thermal environment, water usage, litter moisture content, live market weights, and mortalities.

Poultry science·2021
Same author

Review of litter turning during a grow-out as a litter management practice to achieve dry and friable litter in poultry production.

Poultry science·2021
Same author

Direct surface wetting sprinkler system to reduce the use of evaporative cooling pads in meat chicken production: indoor thermal environment, water usage, litter moisture content, live market weights, and mortalities.

Poultry science·2021
Same author

Application of manures to mitigate the harmful effects of electrokinetic remediation of heavy metals on soil microbial properties in polluted soils.

Environmental science and pollution research international·2017
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: May 26, 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

6.2K

Feature Wavelengths for Quantifying Methane Concentrations Using Shortwave Infrared Hyperspectral Imaging: A

Iman Tahmasbian1, Armando Navas1, Mark W Dunlop1

  • 1Department of Primary Industries, Queensland Government, Toowoomba, QLD 4350, Australia.

Analytical Chemistry
|February 21, 2025
PubMed
Summary

Accurate methane (CH4) quantification is vital for climate change. This study identified optimal short-wave infrared (SWIR) spectral regions for CH4 detection using hyperspectral imaging (HSI), finding multiband approaches superior to single wavelengths.

More Related Videos

Measuring Dissolved Methane in Aquatic Ecosystems Using An Optical Spectroscopy Gas Analyzer
05:00

Measuring Dissolved Methane in Aquatic Ecosystems Using An Optical Spectroscopy Gas Analyzer

Published on: July 26, 2024

380
Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

Published on: June 12, 2016

16.7K

Related Experiment Videos

Last Updated: May 26, 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

6.2K
Measuring Dissolved Methane in Aquatic Ecosystems Using An Optical Spectroscopy Gas Analyzer
05:00

Measuring Dissolved Methane in Aquatic Ecosystems Using An Optical Spectroscopy Gas Analyzer

Published on: July 26, 2024

380
Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
08:18

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions

Published on: June 12, 2016

16.7K

Area of Science:

  • Environmental Science
  • Spectroscopy
  • Remote Sensing

Background:

  • Methane (CH4) is a potent greenhouse gas.
  • Accurate CH4 concentration monitoring is crucial for climate change mitigation.
  • Hyperspectral imaging (HSI) offers potential for CH4 quantification.

Purpose of the Study:

  • Identify optimal spectral regions in the short-wave infrared (SWIR) for CH4 quantification using HSI.
  • Validate existing remote sensing wavelengths for CH4 detection.
  • Compare the accuracy of single-band vs. multiband approaches.

Main Methods:

  • Collected HSI data (1010-2495 nm) of CH4 at varying concentrations (0-2.5%) under controlled conditions.
  • Employed Partial Least-Squares Regression (PLSR) on full spectral bands.
  • Analyzed regression coefficients and PLS weights to pinpoint key spectral regions and wavelengths.
  • Developed and tested new PLSR models using identified regions and specific wavelengths.

Main Results:

  • Multiband spectral regions and two-band combinations yielded higher accuracy than single wavelengths.
  • Optimal spectral regions for CH4 quantification were identified, including specific combinations like 1648 + 1670 nm.
  • The ranking of effective spectral regions was: full 266-band > 1648 + 1670 nm > full 128-band > 2150-2243 nm > 1010-1185 nm.
  • Investigated and noted potential overlaps with water vapor (H2O) absorption bands.

Conclusions:

  • Multiband spectral analysis significantly enhances CH4 quantification accuracy via HSI.
  • The identified SWIR spectral regions provide a basis for improved remote sensing of methane.
  • Further validation in complex environmental settings is recommended to confirm optimal wavelengths.