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 Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
Atomic Emission Spectroscopy: Instrumentation01:22

Atomic Emission Spectroscopy: Instrumentation

The instrumentation of atomic emission spectrometry (AES) involves various components, including atomization devices that convert samples into gas-phase atoms and ions. There are two main types of atomization devices: continuous and discrete atomizers.  Continuous atomizers, like plasmas and flames, introduce samples in a constant stream, while discrete atomizers inject individual samples using syringes or autosamplers. The most common discrete atomizer is the electrothermal atomizer.
Atomic Absorption Spectroscopy: Atomization Methods01:25

Atomic Absorption Spectroscopy: Atomization Methods

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 aerosol...
Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

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,...

You might also read

Related Articles

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

Sort by
Same author

Enhancing self-directed learning among Italian nursing students: A pre- and post-intervention study.

Nurse education today·2015
Same author

Information content analysis of aerosol remote-sensing experiments using singular function theory. 2: Scattering measurements.

Applied optics·2010
Same author

Experimental validation of the solar aureole technique for determining aerosol size distributions.

Applied optics·2010
Same author

Further relations between analytic inversion formulas for multispectral extinction data.

Applied optics·2010
Same author

Finite bandwidth and scattered light effects on the radiometric determination of atmospheric turbidity and the solar constant.

Applied optics·2010
Same author

Finite sun effect on the interpretation of solar aureole.

Applied optics·2010

Related Experiment Video

Updated: Jun 13, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

Information content analysis of aerosol remote-sensing experiments using singular function theory. 1: Extinction

G Viera, M A Box

    Applied Optics
    |May 11, 2010
    PubMed
    Summary

    Singular function theory analyzes information content in remote-sensing experiments. This approach quantifies available information and its distribution for aerosol extinction measurements.

    More Related Videos

    Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
    06:27

    Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer

    Published on: May 29, 2019

    Air-sampled Filter Analysis for Endotoxins and DNA Content
    09:16

    Air-sampled Filter Analysis for Endotoxins and DNA Content

    Published on: March 7, 2016

    Related Experiment Videos

    Last Updated: Jun 13, 2026

    Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
    10:22

    Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

    Published on: September 7, 2019

    Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer
    06:27

    Measurement of Aerosols Optical Thickness of the Atmosphere using the GLOBE Handheld Sun Photometer

    Published on: May 29, 2019

    Air-sampled Filter Analysis for Endotoxins and DNA Content
    09:16

    Air-sampled Filter Analysis for Endotoxins and DNA Content

    Published on: March 7, 2016

    Area of Science:

    • Remote Sensing
    • Atmospheric Science
    • Applied Mathematics

    Background:

    • Remote-sensing experiments require analyzing information content before inversion.
    • First kind Fredholm integral equations are central to many inversion problems.

    Purpose of the Study:

    • To fully analyze the information content of equations for remote-sensing experiments.
    • To apply singular function theory to aerosol extinction experiments.

    Main Methods:

    • Employing singular function theory as a framework.
    • Analyzing first kind Fredholm integral equations.
    • Inverting eleven synthetic data sets, including multimodal size distributions.

    Main Results:

    • Quantified the number of information pieces available at different experimental error levels.
    • Determined the type and location of information within the aerosol extinction experiment.
    • Demonstrated the application of singular function theory to practical inversion problems.

    Conclusions:

    • Singular function theory provides a comprehensive framework for analyzing information content in remote sensing.
    • The study successfully analyzed information availability and distribution in aerosol extinction experiments.
    • The methodology is applicable to complex data sets, including multimodal distributions.