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: Lab01:29

Atomic Emission Spectroscopy: Lab

790
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...
790
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

4.3K
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...
4.3K
Atomic Absorption Spectroscopy: Lab01:21

Atomic Absorption Spectroscopy: Lab

1.3K
For AAS measurements, samples must be introduced as clear solutions, often requiring extensive preliminary treatment to dissolve materials like soils, animal tissues, and minerals. Common methods for sample preparation include treatment with hot mineral acids, wet ashing, combustion in closed containers, high-temperature ashing, or fusion with reagents.
 Solutions containing organic solvents, such as low-molecular-mass alcohols, esters, or ketones, enhance absorbances by increasing...
1.3K
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

1.7K
Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
1.7K
Inductively Coupled Plasma Atomic Emission Spectroscopy: Principle01:19

Inductively Coupled Plasma Atomic Emission Spectroscopy: Principle

2.3K
Inductively coupled plasma (ICP) is the most widely used plasma source in atomic emission spectroscopy (AES), also known as Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES). The ICP source, or torch, consists of three concentric quartz tubes with argon gas flowing through them. A spark from a Tesla coil initiates the ionization of argon, generating a high-temperature plasma.
The ions and electrons produced interact with the fluctuating magnetic field created by a water-cooled...
2.3K
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

4.3K
An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
4.3K

You might also read

Related Articles

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

Sort by
Same author

The evolution of hot Jupiters revealed by the age distribution of their host stars.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

Letter to the Editor: Asaad M, et al. The Evolving Trends in the Impact Factor of Plastic Surgery Journals: A 22-Year Analysis (Ann Plast Surg. 2021;86:329-334).

Annals of plastic surgery·2021
Same author

Non-Coding RNA as Biomarkers for Type 2 Diabetes Development and Clinical Management.

Frontiers in endocrinology·2021
Same author

Rare and low-frequency exonic variants and gene-by-smoking interactions in pulmonary function.

Scientific reports·2021
Same author

Association Between Acute Exposure to Crime and Individual Systolic Blood Pressure.

American journal of preventive medicine·2021
Same author

[Application of free-style perforator pedicled propeller flap to repair the wound after extensive resection of skin malignant tumor on the thigh].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2021
Same journal

The Laser Rangefinder System in Quadrature Modem and Ambiguity Resolution.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Improving the Accuracy of Camera-Based Heart Rate Measurement.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Determination of Pb, Cr, Cd, and As in Aluminum-Plastic Packaging Materials via Inductively Coupled Plasma-Mass Spectrometry with Microwave Digestion.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Study on Molecular Recognition of Cucurbit[6]uril with Oxytetracycline Molecules by Spectroscopic Methods.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Preparation and Properties of Novel Polymer Blue Fluorescent Materials.

Guang pu xue yu guang pu fen xi = Guang pu·2018
Same journal

Effect of the Nitrogen Incorporation on the Microstructure and Photoelectric Properties of N Type Nanocrystalline Silicon Thin Films.

Guang pu xue yu guang pu fen xi = Guang pu·2018
See all related articles

Related Experiment Video

Updated: Mar 28, 2026

Quantifying X-Ray Fluorescence Data Using MAPS
14:58

Quantifying X-Ray Fluorescence Data Using MAPS

Published on: February 17, 2018

11.4K

[A Method to Estimate Metal Abundance from Stellar Spectra Using Ca Line Index].

Jing-chang Pan, A-li Luo, Xiang-ru Li

    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
    |December 17, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method using a BP neural network and Ca line index to estimate stellar metallicity ([Fe/H]). This approach accurately predicts metallicity from low-resolution stellar spectra.

    More Related Videos

    Quantification of Metal Leaching in Immobilized Metal Affinity Chromatography
    05:35

    Quantification of Metal Leaching in Immobilized Metal Affinity Chromatography

    Published on: January 17, 2020

    8.2K
    Imaging Metals in Brain Tissue by Laser Ablation - Inductively Coupled Plasma - Mass Spectrometry LA-ICP-MS
    09:05

    Imaging Metals in Brain Tissue by Laser Ablation - Inductively Coupled Plasma - Mass Spectrometry LA-ICP-MS

    Published on: January 22, 2017

    22.4K

    Related Experiment Videos

    Last Updated: Mar 28, 2026

    Quantifying X-Ray Fluorescence Data Using MAPS
    14:58

    Quantifying X-Ray Fluorescence Data Using MAPS

    Published on: February 17, 2018

    11.4K
    Quantification of Metal Leaching in Immobilized Metal Affinity Chromatography
    05:35

    Quantification of Metal Leaching in Immobilized Metal Affinity Chromatography

    Published on: January 17, 2020

    8.2K
    Imaging Metals in Brain Tissue by Laser Ablation - Inductively Coupled Plasma - Mass Spectrometry LA-ICP-MS
    09:05

    Imaging Metals in Brain Tissue by Laser Ablation - Inductively Coupled Plasma - Mass Spectrometry LA-ICP-MS

    Published on: January 22, 2017

    22.4K

    Area of Science:

    • Astronomy and Astrophysics
    • Computational Astrophysics

    Context:

    • Stellar metallicity is a key parameter for understanding stellar evolution and galactic chemical history.
    • Accurate metallicity estimation is crucial for large spectroscopic surveys like SDSS/SEGUE.
    • Existing methods may have limitations with low-resolution spectra.

    Purpose:

    • To develop and validate a novel method for estimating stellar metallicity ([Fe/H]) using a Backpropagation (BP) Artificial Neural Network (ANN).
    • To utilize the Ca line index and effective temperature (Teff) as input features for the ANN model.
    • To enable accurate metallicity determination from low-resolution stellar spectra.

    Summary:

    • A BP ANN model was trained using stellar spectra and parameters from the Sloan Digital Sky Survey (SDSS)/Spectroscopic Evolution of the Extremely Galactic (SEGUE) survey.
    • The model takes effective temperature (Teff) and Ca line index as inputs to predict the metallicity ([Fe/H]).
    • The trained network effectively predicts stellar metallicity from low-resolution spectra, demonstrating high accuracy.

    Impact:

    • Provides an accurate and effective tool for measuring stellar metallicity ([Fe/H]) from low-resolution spectra.
    • Enhances the capabilities of astrophysical research by enabling more precise analysis of stellar populations.
    • Contributes to a better understanding of stellar evolution and the chemical enrichment of galaxies.