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Atomic Emission Spectroscopy: Overview

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...

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

Inductively coupled plasma (ICP) is the common plasma source used in atomic emission spectroscopy (AES), a technique that detects and analyzes various elements in a sample. This method is often called inductively coupled plasma atomic emission spectroscopy (ICP-AES).
There are three main types of inductively coupled plasma atomic emission spectroscopy (ICP-AES) instruments: sequential, simultaneous multichannel, and Fourier transform instruments, with the latter being less commonly used.

Atomic Fluorescence Spectroscopy

Atomic Fluorescence Spectroscopy

Atomic fluorescence spectroscopy (AFS) is an analytical technique that involves the electronic transitions of atoms in a flame, furnace, or plasma being excited by electromagnetic (EM) radiation. When these atoms absorb energy, they become excited and subsequently release energy as they return to their original state. This emitted light, or "fluorescence," is observed at a right angle to the incident beam. Both absorption and emission processes transpire at distinct wavelengths, which are...

Atomic Emission Spectroscopy: Lab

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...

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Related Experiment Video

Updated: Jul 5, 2026

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

[Study on application of multi-wavelength LED array induced fluorescence spectrum in multicomponent analysis].

Wei-Chang Sima¹, Yu-Jun Zhang, Zhi-Gang Wang

¹Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu

|April 22, 2008

Summary

A new fluorescence spectrum system effectively identifies multiple water components like pollutants and phytoplankton. This advanced system achieves 98% accuracy in multi-component analysis, showing great potential for water quality monitoring.

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Area of Science:

Environmental Science
Analytical Chemistry
Spectroscopy

Context:

Water quality monitoring is crucial for detecting dissolved organic matter, oil pollutants, and phytoplankton biomass.
Traditional fluorescence spectroscopy methods face challenges in analyzing complex mixtures.
Accurate identification of multiple substances in water is essential for environmental protection and ecological health.

Purpose:

To introduce a novel fluorescence spectrum system utilizing a multi-wavelength LED array.
To discuss the system's operational principles and a method for multi-component analysis.
To evaluate the system's performance in accurately quantifying mixed fluorescent substances.

Summary:

A new fluorescence spectrum system with a multi-wavelength LED array was developed for water analysis.
The system's excitation-emission matrix (EEM) fluorescence spectra were measured and analyzed using the parallel factor (PARAFAC) algorithm.
Experimental results demonstrated a high correlation coefficient (98%) between resolved and actual concentrations of mixed fluorescent dyes.

Impact:

The developed fluorescence spectrum system shows significant potential for accurate multi-component analysis in water.
This technology can enhance the monitoring of water pollutants and aquatic ecosystems.
The findings support the advancement of sensitive and precise analytical techniques for environmental applications.