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Standoff Identification of Plastic Waste Using a Low-Cost Compact Laser-Induced Breakdown Spectroscopy (LIBS)
Rajendhar Junjuri1,2, Arun Prakash Gummadi1, Manoj Kumar Gundawar1
1Advanced Centre of Research in High Energy Materials, School of Physics, University of Hyderabad, Hyderabad, Telangana, India.
We developed a low-cost standoff laser-induced breakdown spectroscopy (ST-LIBS) system for rapid plastic waste identification. This compact system achieves high accuracy, enabling real-time waste management.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Environmental Science
Background:
- Accurate identification of post-consumer plastic waste is crucial for effective recycling and waste management.
- Traditional methods for plastic waste analysis can be time-consuming and costly.
- Remote sensing technologies offer potential for rapid, in-situ waste characterization.
Purpose of the Study:
- To develop and evaluate a compact, low-cost standoff laser-induced breakdown spectroscopy (ST-LIBS) system for remote identification of plastic waste.
- To assess the system's performance in terms of speed, accuracy, and cost-effectiveness compared to existing methods.
Main Methods:
- Utilized a single plano-convex lens for optical emission collection at a 6.5 m standoff distance.
- Employed a compact, non-gated Czerny-Turner charge-coupled device (CT-CCD) spectrometer for spectral analysis.
- Applied principal component analysis (PCA) and artificial neural network (ANN) analysis for data interpretation.
Main Results:
- Achieved tenfold cost reduction and significant decrease in system size and weight compared to telescopic systems.
- Demonstrated rapid identification using single laser shots, enabling real-time analysis of numerous samples.
- PCA showed excellent sample separation, and ANN achieved up to ~99% accuracy in plastic waste identification within ~10 ms testing time.
Conclusions:
- The developed ST-LIBS system offers a compact, low-cost, and rapid solution for post-consumer plastic waste identification.
- This technology has the potential to significantly improve real-time waste management processes.
- The system's high accuracy and speed make it suitable for deployment in recycling facilities.
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