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Performance evaluation of a hyphenated laser spectroscopy system with conventional methods for microplastic analysis.
M Vasudeva1, U K Adarsh1, Anish Kumar Warrier2,3
1Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Scientific Reports
|August 20, 2024
Summary
A new hyphenated Laser Induced Breakdown Spectroscopy (LIBS)-Raman system efficiently identifies microplastic polymers and detects surface-adsorbed heavy metals. This method offers a faster, simpler alternative to conventional techniques for environmental microplastic analysis.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Spectroscopy
Background:
- Microplastics are ubiquitous environmental pollutants with the capacity to adsorb hazardous heavy metals.
- Current methods for microplastic characterization and heavy metal detection are resource-intensive and require specialized expertise.
Purpose of the Study:
- To evaluate a custom-made hyphenated Laser Induced Breakdown Spectroscopy (LIBS)-Raman spectroscopic system for microplastic characterization.
- To compare the analytical performance of the LIBS-Raman system with conventional methods like ATR-FTIR, confocal Raman, and SEM-EDS.
Main Methods:
- Utilized a hyphenated LIBS-Raman spectroscopic system for simultaneous polymer identification and heavy metal detection.
- Compared results with Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy, confocal Raman spectroscopy, and Scanning Electron Microscopy-Energy Dispersive X-ray Spectroscopy (SEM-EDS).
Main Results:
- Raman spectroscopy successfully identified polyethylene (PE), polypropylene (PP), and polyethylene terephthalate (PET) microplastics.
- LIBS detected heavy metals (Al, Ni, Co, Zn) and trace elements (Ca, Mg) adsorbed on microplastic surfaces.
- EDS analysis validated the presence of detected elements, confirming LIBS findings.
Conclusions:
- The hyphenated LIBS-Raman system provides a rapid and effective method for microplastic characterization.
- This approach requires minimal sample preparation, offering a significant advantage for analyzing environmental samples.

