High-Speed Measurement of Microplastics Smaller than 100 μm Collected on a Filter and Efficient Analysis
Applications | 2025 | ShimadzuInstrumentation
Microplastics smaller than 100 µm are increasingly detected in aquatic environments and drinking water, raising concerns about their environmental fate and potential health impacts. Rapid and reliable characterization of these particles in terms of identity, size distribution, and mass is essential for environmental monitoring, regulatory compliance, and risk assessment.
This study demonstrates a high-throughput analytical workflow combining Fourier transform infrared (FTIR) microscopy with a high-speed mapping program and a dedicated particle analysis software. The primary goal is to reduce measurement time and automate data processing for microplastics collected on filters, using a standard reference sample to validate performance gains and data accuracy.
A tablet of reference microplastics was dispersed in purified water and deposited onto an Si filter, which was secured in a PF holder to ensure a flat analysis surface. Transmission spectra were acquired across a 1.7 × 2.1 mm area using 8 cm⁻¹ resolution, 30 scans per point, SqrTriangle apodization, and a 20 × 20 µm aperture with 20 µm step size. The high-speed mapping algorithm monitored C–H stretching peaks between 3200 and 2800 cm⁻¹ in an initial scan at each pixel. Points lacking detectable peaks were skipped, cutting overall mapping time to approximately one-eighth of conventional approaches.
The automated map revealed distinct spectral fingerprints corresponding to polyethylene (PE), polyethylene terephthalate (PET), polystyrene (PS), and protein. The particle analysis software color-coded each polymer type, counted particles, and extracted quantitative metrics including major and minor axes, Feret diameter, and projected area. In the selected region, one PE particle, one PET particle, and seven PS particles were identified. PS particles ranged from under 50 µm up to clusters between 150 and 400 µm, consistent with the enlarged tiled images. Individual particle tables also provided estimated volumes and masses using a log–log relationship between surface area and mass.
Advances may include expanding spectral libraries to cover a wider range of polymers and additives, and incorporating machine learning for more robust peak detection and classification. Improved detector sensitivity and filter materials could extend analysis to sub-micron particles. Applications span environmental monitoring, water treatment validation, food and beverage safety, and quality control in manufacturing processes.
The integration of a high-speed FTIR mapping program with automated particle analysis offers a powerful, efficient solution for characterizing microplastics smaller than 100 µm. This workflow significantly accelerates data acquisition while delivering detailed information on particle identity, size, volume, and mass, thereby enhancing the reliability of microplastics assessments.
FTIR Spectroscopy, Particle size analysis
IndustriesMaterials Testing, Environmental
ManufacturerShimadzu
Summary
Importance of the Topic
Microplastics smaller than 100 µm are increasingly detected in aquatic environments and drinking water, raising concerns about their environmental fate and potential health impacts. Rapid and reliable characterization of these particles in terms of identity, size distribution, and mass is essential for environmental monitoring, regulatory compliance, and risk assessment.
Objectives and Overview of the Study
This study demonstrates a high-throughput analytical workflow combining Fourier transform infrared (FTIR) microscopy with a high-speed mapping program and a dedicated particle analysis software. The primary goal is to reduce measurement time and automate data processing for microplastics collected on filters, using a standard reference sample to validate performance gains and data accuracy.
Instrumentation Used
- FTIR Microscope System: IRTracer-100 coupled with AIMsight infrared microscope
- Sample Holder: Particle filter (PF) holder for 13 mm diameter Si filters (10×10 mm, 5 µm pores)
- Detector: Two-dimensional T2SL focal plane array
- Software: High-Speed Mapping Program; Particle Analysis Program
Methodology
A tablet of reference microplastics was dispersed in purified water and deposited onto an Si filter, which was secured in a PF holder to ensure a flat analysis surface. Transmission spectra were acquired across a 1.7 × 2.1 mm area using 8 cm⁻¹ resolution, 30 scans per point, SqrTriangle apodization, and a 20 × 20 µm aperture with 20 µm step size. The high-speed mapping algorithm monitored C–H stretching peaks between 3200 and 2800 cm⁻¹ in an initial scan at each pixel. Points lacking detectable peaks were skipped, cutting overall mapping time to approximately one-eighth of conventional approaches.
Key Results and Discussion
The automated map revealed distinct spectral fingerprints corresponding to polyethylene (PE), polyethylene terephthalate (PET), polystyrene (PS), and protein. The particle analysis software color-coded each polymer type, counted particles, and extracted quantitative metrics including major and minor axes, Feret diameter, and projected area. In the selected region, one PE particle, one PET particle, and seven PS particles were identified. PS particles ranged from under 50 µm up to clusters between 150 and 400 µm, consistent with the enlarged tiled images. Individual particle tables also provided estimated volumes and masses using a log–log relationship between surface area and mass.
Benefits and Practical Applications of the Method
- Measurement time reduced by a factor of eight compared to standard mapping techniques.
- Automated polymer identification and color-coded visualization facilitate rapid data interpretation.
- Comprehensive size distribution, volume, and mass estimates support detailed microplastics profiling.
- CSV export of particle data enables seamless downstream statistical analysis and reporting.
Future Trends and Potential Applications
Advances may include expanding spectral libraries to cover a wider range of polymers and additives, and incorporating machine learning for more robust peak detection and classification. Improved detector sensitivity and filter materials could extend analysis to sub-micron particles. Applications span environmental monitoring, water treatment validation, food and beverage safety, and quality control in manufacturing processes.
Conclusion
The integration of a high-speed FTIR mapping program with automated particle analysis offers a powerful, efficient solution for characterizing microplastics smaller than 100 µm. This workflow significantly accelerates data acquisition while delivering detailed information on particle identity, size, volume, and mass, thereby enhancing the reliability of microplastics assessments.
References
- Tomoya Kataoka, Yota Iga, Rifqi Ahmad Baihaqi et al. The geometric relationship between the projected surface area and the mass of a plastic particle. Water Research. 2024;61:122061.
- Ministry of the Environment. River and Lake Microplastics Investigative Guidelines. Water Environment Management Division, Environmental Management Bureau. March 2024.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Technique for Measuring Microplastics Collected on Various Filters Using a Particle Filter Holder
2026|Shimadzu|Applications
Fourier Transform Infrared Spectrophotometer Infrared Microscope AIMsight IRXross /IRTracer -100 Technique for Measuring Microplastics Collected on Various Filters Using a Particle Filter Holder Application News Kazumi Kawahara and Kazuki Sobue User Benefits Particle filter holders provide clear microscope images…
Key words
infrared, infraredmicroplastics, microplasticsfilter, filterinquiry, inquirymicroscope, microscopeparticle, particleptfe, ptfemps, mpsholder, holderfilters, filtersstainless, stainlesssteel, steelaimsight, aimsighttransmission, transmissionstretching
Infrared Microscope AIMsight
2025|Shimadzu|Brochures and specifications
C103-E142D Infrared Microscope AIMsight An automatic analysis system that can be used with confidence from your first analysis Equipped as standard with enhanced functionality to support analyses Wide-field camera Automatic contaminant recognition system Highest class S/N Length measurement function Original…
Key words
aimsight, aimsightinfrared, infraredabs, absmeasurement, measurementimage, imagecamera, cameracontaminant, contaminantatr, atrvisible, visiblespectra, spectramicroscope, microscopefunction, functionmicroplastics, microplasticsprogram, programfilm
Perform Microplastics Analysis More Quickly and Accurately
2025|Shimadzu|Others
C103-E154 New Products Options for the AIMsight™ Infrared Microscope and AIRsight™ Infrared/Raman Microscope Perform Microplastics Analysis More Quickly and Accurately − Determine Even the Mass and Volume of Particles − Particle Analysis Program Batch Measure the Size, Mass, and Volume…
Key words
particle, particleanalysis, analysismicroplastics, microplasticsconfiguring, configuringkataoka, kataokamicroscope, microscopetomoya, tomoyainfrared, infraredcongruence, congruencecomponents, componentscan, canresults, resultsparticles, particlesaimsight, aimsightairsight
Analyzing Microscopic Contaminants Embedded in Recycled Plastic
2025|Shimadzu|Applications
Infrared Microscope Infrared Raman Microscope Application News Analyzing Microscopic Contaminants Embedded in Recycled Plastic Yoshiyuki Tange User Benefits Microscopic contaminants embedded in recycled plastic can be analyzed with an infrared microscope using a simple method. The type, number,…
Key words
plastic, plasticmapping, mappingrecycled, recycledcontaminants, contaminantsinfrared, infraredspeed, speedinquiry, inquirymicroscope, microscopepbma, pbmascans, scanshigh, highnews, newsmicroscopes, microscopessettings, settingsmultiple