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

Atomic Absorption Spectroscopy: Atomization Methods01:25

Atomic Absorption Spectroscopy: Atomization Methods

1.6K
Atomic Absorption Spectroscopy (AAS) atomizes samples through flame atomization or electrothermal atomization. Flame atomization typically involves a nebulizer and spray chamber assembly to combine the sample with a fuel–oxidant mixture, creating a fine aerosol mist that enters a burner. Typically, the fuel and oxidant are combined in an approximately stoichiometric ratio. However, for atoms that are easily oxidized, a fuel-rich mixture may be more advantageous. Only about 5% of the...
1.6K
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

5.0K
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...
5.0K
Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

2.1K
Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
2.1K
Molecular Spectroscopy: Absorption and Emission01:14

Molecular Spectroscopy: Absorption and Emission

4.5K
Molecules possess discrete energy levels called quantum states. Unlike atoms, which have simpler energy levels, molecules possess additional rotational and vibrational energy levels.  Each energy level is separated by an energy gap, with the gaps between adjacent electronic, vibrational, and rotational levels varying significantly. The three types of energy levels in a diatomic molecule are shown in Figure 1.
4.5K
Atomic Absorption Spectroscopy: Overview01:27

Atomic Absorption Spectroscopy: Overview

3.5K
Atomic absorption spectroscopy (AAS) is a technique used to analyze elements by measuring electromagnetic radiation (EMR) absorbed by atoms, which causes them to transition to a higher-energy orbit. The most crucial step in AAS is atomization, where the analyte is converted into gas-phase atoms, typically through a flame or furnace. Some of these atoms become thermally excited in the flame, while most remain in the ground state.
When irradiated by EMR of a particular wavelength, these...
3.5K
Atomic Absorption Spectroscopy: Instrumentation01:22

Atomic Absorption Spectroscopy: Instrumentation

1.7K
An atomic absorption spectrophotometer (AAS) comprises several components: a radiation source, an atomizer, a monochromator, and a detector. The radiation source can be a hollow-cathode lamp (HCL) or an electrodeless-discharge lamp (EDL), both of which provide a narrow emission line of the required wavelength. However, some instruments use continuum sources and high-resolution monochromators to achieve a narrow range of radiation.
The atomizer used in AAS can be either a flame atomizer or an...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Nonaqueous Synthesis of Pd/PdO-Functionalized NiFe<sub>2</sub>O<sub>4</sub> Nanoparticles Enabled Enhancing n-Butanol Detection.

Nanomaterials (Basel, Switzerland)·2024
Same author

RVM-GSM: Classification of OCT Images of Genitourinary Syndrome of Menopause Based on Integrated Model of Local-Global Information Pattern.

Bioengineering (Basel, Switzerland)·2023
Same author

CTS-Net: A Segmentation Network for Glaucoma Optical Coherence Tomography Retinal Layer Images.

Bioengineering (Basel, Switzerland)·2023
Same author

Bioactivity and Cell Imaging of Antitumor Fluorescent Agents (Curcumin Derivatives) Coated by Two-Way Embedded Cyclodextrin Strategy.

Chemistry & biodiversity·2022
Same author

Detection method of wheat spike improved YOLOv5s based on the attention mechanism.

Frontiers in plant science·2022
Same author

The benefit of bevacizumab therapy in patients with refractory vasogenic edema caused by brain metastasis from lung and colon cancers.

Frontiers in oncology·2022

Related Experiment Video

Updated: Jan 31, 2026

Construction and Characterization of External Cavity Diode Lasers for Atomic Physics
09:10

Construction and Characterization of External Cavity Diode Lasers for Atomic Physics

Published on: April 24, 2014

28.6K

Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy.

Tianyu Zhang1, Jiawen Kang2, Dezhuang Meng3

  • 1Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, College of Instrumentation & Electrical Engineering, Jilin University, Changchun 130026, China. zty@jlu.edu.cn.

Sensors (Basel, Switzerland)
|December 20, 2018
PubMed
Summary

Tunable diode laser absorption spectroscopy (TDLAS) analyzes gas components but faces noise interference. This paper details TDLAS signal processing challenges and effective noise-reduction algorithms for accurate gas analysis.

Keywords:
TDLASbackground correctiondenoisegas sensorinterference fringesignal processing

More Related Videos

Characterizing Far-infrared Laser Emissions and the Measurement of Their Frequencies
09:38

Characterizing Far-infrared Laser Emissions and the Measurement of Their Frequencies

Published on: December 18, 2015

12.6K
Author Spotlight: Advances in Nanoscale Infrared Spectroscopy to Explore Multiphase Polymeric Systems
06:54

Author Spotlight: Advances in Nanoscale Infrared Spectroscopy to Explore Multiphase Polymeric Systems

Published on: June 23, 2023

1.3K

Related Experiment Videos

Last Updated: Jan 31, 2026

Construction and Characterization of External Cavity Diode Lasers for Atomic Physics
09:10

Construction and Characterization of External Cavity Diode Lasers for Atomic Physics

Published on: April 24, 2014

28.6K
Characterizing Far-infrared Laser Emissions and the Measurement of Their Frequencies
09:38

Characterizing Far-infrared Laser Emissions and the Measurement of Their Frequencies

Published on: December 18, 2015

12.6K
Author Spotlight: Advances in Nanoscale Infrared Spectroscopy to Explore Multiphase Polymeric Systems
06:54

Author Spotlight: Advances in Nanoscale Infrared Spectroscopy to Explore Multiphase Polymeric Systems

Published on: June 23, 2023

1.3K

Area of Science:

  • Spectroscopy
  • Analytical Chemistry
  • Optical Engineering

Background:

  • Tunable diode laser absorption spectroscopy (TDLAS) is crucial for quantitative gas analysis.
  • Molecular absorption spectroscopy forms the basis of TDLAS technology.
  • Signal interference from electronic and optical components is a common challenge in TDLAS.

Purpose of the Study:

  • To identify and describe signal processing issues specific to TDLAS.
  • To review and present effective algorithms for mitigating noise in TDLAS signals.

Main Methods:

  • Literature review of TDLAS signal processing techniques.
  • Analysis of noise sources in TDLAS systems.
  • Categorization of algorithms for signal enhancement.

Main Results:

  • Identification of key noise sources impacting TDLAS measurements.
  • Summary of various signal processing algorithms applicable to TDLAS.
  • Demonstration of algorithm effectiveness in improving signal quality.

Conclusions:

  • Effective signal processing is essential for reliable TDLAS gas analysis.
  • Addressing noise interference enhances the accuracy and applicability of TDLAS.
  • The reviewed algorithms provide practical solutions for TDLAS challenges.