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Advancing microplastic characterization in environmental samples using optical photothermal infrared (O-PTIR)
Moayad Yacoub1, Jackson Normandin2, Simon Baniya1
1School of Earth, Environment, & Sustainability, Ball State University, Muncie, IN, 47306, USA.
Environmental Geochemistry and Health
|April 3, 2026
Summary
Optical Photothermal Infrared (O-PTIR) spectroscopy offers a promising, non-contact method for identifying microplastics in environmental samples. This study optimized O-PTIR workflows, reducing thermal damage and improving analysis of complex matrices for better microplastic detection.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Materials Science
Background:
- Microplastics are pervasive environmental contaminants with significant ecological and health implications.
- Standardized methods for microplastic detection and identification are lacking, hindering cross-study comparisons.
- Existing techniques like spectroscopy and microscopy have limitations in sensitivity, specificity, and ease of use.
Purpose of the Study:
- To explore and refine Optical Photothermal Infrared (O-PTIR) spectroscopy workflows for enhanced microplastic identification.
- To optimize O-PTIR operational parameters for complex environmental samples, addressing challenges like thermal damage.
- To evaluate O-PTIR's performance against conventional methods for microplastic analysis.
Main Methods:
- Investigated the impact of Nile Red dye pretreatment on microplastic spectral analysis.
- Benchmarked detector configurations and defined optimal laser power thresholds for O-PTIR.
- Assessed cryogenic cooling as a strategy to mitigate laser-induced thermal damage during analysis.
Main Results:
- Nile Red staining altered spectral intensities but preserved diagnostic functional group information.
- Cryogenic cooling effectively reduced thermal damage, with optimized laser power crucial for data quality.
- O-PTIR showed high spectral agreement with ATR-FTIR, offering superior non-contact analysis for irregular microparticles.
Conclusions:
- Optimized O-PTIR workflows provide practical solutions for minimizing thermal damage and retaining spectral integrity.
- O-PTIR is a powerful, non-contact technique for identifying microplastics in complex environmental matrices.
- This study advances microplastic analysis, supporting improved data quality and a better understanding of microplastic behavior.

