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Related Concept Videos

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

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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....
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Atomic Emission Spectroscopy: Lab01:29

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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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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...
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In inductively coupled plasma–mass spectrometry (ICP–MS), an inductively coupled plasma (ICP) torch is used as an atomizer and ionizer. Solid samples are dissolved and volatilized before being introduced into the high-temperature argon plasma, while solution samples are nebulized and passed through the high-temperature argon plasma. Plasma dissociates the analytes and ionizes their component atoms to form a mixture of positive ions and molecular species. The positive ions are then...
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Related Experiment Video

Updated: Feb 18, 2026

Measurement and Analysis of Atomic Hydrogen and Diatomic Molecular AlO, C2, CN, and TiO Spectra Following Laser-induced Optical Breakdown
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Enhanced Laser-Induced Breakdown Spectroscopy Using Multimodal Fusion Correction of Event-Reconstructed Plasma Images

Honglin Jian1, Lei Deng2, Yu Deng3

  • 1Engineering Laboratory of Power Equipment Reliability in Complicated Coastal Environments, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, 518055, China.

Applied Spectroscopy
|February 16, 2026
PubMed
Summary

This study introduces a novel neuromorphic dynamic vision sensor (DVS) and an event-enhanced spectroscopy correction network (EESCN) to significantly improve the spectral stability and analytical accuracy of laser-induced breakdown spectroscopy (LIBS). The new method enhances LIBS performance in challenging conditions.

Keywords:
CNNLaser-induced breakdown spectroscopyconvolutional neural networkdynamic vision sensormultihead attentionmultimodal fusion

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Materials Science

Background:

  • Laser-induced breakdown spectroscopy (LIBS) offers broad applications but suffers from limited analytical accuracy due to poor spectral stability.
  • Plasma optical signals are crucial for understanding and correcting spectral fluctuations.
  • Existing correction methods often fall short in addressing complex spectral instability.

Purpose of the Study:

  • To develop a novel method for enhancing spectral stability in LIBS.
  • To introduce a neuromorphic dynamic vision sensor (DVS) for high-resolution plasma dynamics capture.
  • To propose an event-enhanced spectroscopy correction network (EESCN) for robust spectral correction.

Main Methods:

  • Utilized a neuromorphic dynamic vision sensor (DVS) for microsecond temporal resolution plasma signal acquisition.
  • Developed an event-enhanced spectroscopy correction network (EESCN) employing a dual-stream CNN and multihead attention for cross-modal fusion.
  • Emulated challenging conditions including laser energy fluctuations and self-absorption effects.

Main Results:

  • The EESCN model substantially suppressed spectral fluctuations in carbon steel and copper alloys, reducing mean relative standard deviations by up to 80.76%.
  • Calibration curves generated from corrected spectra consistently achieved R² values above 0.99, outperforming traditional methods.
  • Demonstrated significant improvements in analytical accuracy for key spectral lines.

Conclusions:

  • The integration of a low-cost, high-speed DVS with the EESCN model provides a practical solution for mitigating spectral instability in LIBS.
  • This approach enables robust on-site analytical applications by enhancing LIBS reliability.
  • The developed method offers a significant advancement for accurate elemental analysis using LIBS.