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Updated: Jan 1, 2026

Laser-induced Breakdown Spectroscopy: A New Approach for Nanoparticle's Mapping and Quantification in Organ Tissue
Published on: June 18, 2014
High-throughput analysis of single particles by micro laser induced breakdown spectroscopy
Da Chen1, Zhixuan Huang2, Tong Wang2
1School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, 300072, China; Center for Aircraft Fire and Emergency, Civil Aviation University of China, Tianjin, 300300, China.
This study introduces a rapid method for multi-elemental analysis of single particles using microscopy and laser-induced breakdown spectroscopy (LIBS). The system efficiently identifies particle sources and composition, aiding environmental risk assessment.
Area of Science:
- Analytical Chemistry
- Environmental Science
- Spectroscopy
Background:
- Accurate multi-elemental analysis of particulate matter is crucial for source identification.
- Traditional single particle analysis methods are often hindered by time-consuming sample preparation.
Purpose of the Study:
- To develop a rapid system for multi-elemental analysis of single particles.
- To overcome limitations of traditional methods in terms of speed and sample preparation.
Main Methods:
- Integration of bright-field microscopy with laser-induced breakdown spectroscopy (LIBS).
- Utilized ultra-thin polyethylene films for efficient particle immobilization and minimal spectral interference.
- Employed rapid vaporization of films during laser ablation to prevent plasma quenching.
Main Results:
- Achieved high throughput for successive spectral collection from single particles.
- Demonstrated successful analysis of particle composition heterogeneity.
- Effectively discriminated between dust particles with similar chemical compositions.
Conclusions:
- The combined microscopy-LIBS system offers a promising, rapid solution for single particle analysis.
- The method enhances throughput and accuracy for identifying particulate matter sources.
- This technique supports environmental risk assessment by providing detailed compositional data.
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