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Updated: Feb 8, 2026

Quantitative Analysis of Vacuum Induction Melting by Laser-induced Breakdown Spectroscopy
Published on: June 10, 2019
Calibration-Free Laser-Induced Plasma Analysis of Nanoparticle-Doped Material Using Self-Absorption Correction
Zahid Farooq1,2, Raheel Ali2,3, Asghar Ali1
11 Department of Physics, University of Education (Lahore), Faisalabad Campus, Pakistan.
Laser-induced breakdown spectroscopy (LIBS) accurately analyzes doped nanomaterials containing iron and tin. This method offers a reliable approach for material characterization and quality control in nanotechnology.
Area of Science:
- Materials Science
- Analytical Chemistry
- Nanotechnology
Background:
- Nanomaterials doped with iron (Fe) and tin (Sn) are crucial in various applications.
- Accurate qualitative and quantitative analysis of these doped nanomaterials is essential for their effective utilization.
Purpose of the Study:
- To investigate the qualitative and quantitative analysis of Fe and Sn doped nanomaterials.
- To evaluate the efficacy of laser-induced breakdown spectroscopy (LIBS) for nanomaterial analysis.
Main Methods:
- Doped nanoparticles were synthesized using co-precipitation and hydrothermal methods.
- Laser-induced breakdown spectroscopy (LIBS) was employed for elemental analysis.
- Calibration-free LIBS (CF-LIBS) and IRSAC CF-LIBS approaches were utilized for quantitative analysis.
- Plasma parameters like temperature and electron density were determined.
Main Results:
- The emission spectra confirmed the presence of various species in the doped nanomaterials.
- Quantitative analysis using CF-LIBS and IRSAC CF-LIBS showed good agreement with established techniques.
- Results correlated well with laser ablation time-of-flight (LA-TOF) spectroscopy and showed minor deviation from energy-dispersive X-ray (EDX) analysis.
Conclusions:
- Laser-induced breakdown spectroscopy (LIBS) is a validated and effective analytical technique for the quantitative analysis of doped nanomaterials.
- The developed LIBS methods provide accurate elemental composition data for Fe and Sn doped nanoparticles.
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