Multi-information fusion of characteristic spectral lines for enhanced quantitative accuracy in laser-induced breakdown spectroscopy

Yutao Huang; Yuan Liu; Xiaomei Lin; Jingjun Lin; Jiangfei Yang; Aiguo Tan; Keke Ma; Hongxiang Zhang; Nanqi Ruan

doi:10.1039/d6ja00043f

January 1, 2026Journal of Analytical Atomic Spectrometry

Multi-information fusion of characteristic spectral lines for enhanced quantitative accuracy in laser-induced breakdown spectroscopy

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research aims to improve the quantitative accuracy of heavy metal detection in soil using an advanced LIBS approach.
Utilized multi-information fusion of spectral line data for analysis.
Employed quantitative analysis techniques on heavy metal elements in soil samples.
Demonstrated greater accuracy in heavy metal quantification compared to conventional single line methods.

Implication

Demonstrates improved quantitative measures of heavy metal elements in soil, highlighting an advanced analysis method.

Abstract

When employing Laser-Induced Breakdown Spectroscopy (LIBS) for the quantitative analysis of heavy metal elements in soil, conventional quantitative analysis methods typically rely solely on single spectral line intensity information.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/69ec5b8a88ba6daa22dad1a9 https://doi.org/10.1039/d6ja00043f

View Full Paper

Ask AI

Bookmark

Share

Multi-information fusion of characteristic spectral lines for enhanced quantitative accuracy in laser-induced breakdown spectroscopy

Key Points

Implication

Abstract

Discussion

Cite This Study

Multi-information fusion of characteristic spectral lines for enhanced quantitative accuracy in laser-induced breakdown spectroscopy

Key Points

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading