We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Papers
61,005 resultsShowing papers similar to Identification of microplastics in wastewater samples by means of polarized light optical microscopy
ClearReal-time microplastic detection using polarization digital holographic microscope
Researchers developed a real-time microplastic detection system using a polarization digital holographic microscope, enabling identification and characterization of MP particles in water based on their optical properties without the need for chemical staining or extensive sample preparation.
In-situ Detection Method for Microplastics in Water by Polarized Light Scattering
Researchers developed an in-situ detection method for microplastics in water using polarized light scattering at 120 degrees, enabling real-time measurement of individual particles without sample collection or laboratory processing.
Optimized Classification of Suspended Particles in Seawater by Dense Sampling of Polarized Light Pulses
Researchers developed an optical method using polarized light pulses to classify suspended particles in seawater, aiming to distinguish microplastics from natural particles like algae in situ. A reliable in-water optical sensor for microplastics would greatly improve environmental monitoring capability.
Fluorescence polarimetry for microplastics identification
Researchers developed a novel fluorescence polarimetry approach using anisotropy measurements to identify and characterize microplastics, offering a faster and simpler alternative to conventional spectroscopy and chromatography methods that require complex sample preparation.
Recognition of microplastics suspended in seawater via refractive index by Mueller matrix polarimetry
Researchers developed a method to identify microplastics suspended in seawater using Mueller matrix polarimetry, which measures how particles interact with polarized light. The study successfully classified different types of microplastics based on their refractive index, even for irregularly shaped particles with varying sizes, suggesting this approach could advance in-situ microplastic detection in ocean water.
Advancing the Understanding of Microplastic Weathering: Insights from a Novel Polarized Light Scattering Approach
Researchers introduced a polarized light scattering technique to rapidly characterize microplastic weathering, which alters the physical and chemical properties of particles and affects their environmental behavior. The approach provides high-throughput, real-time insights into weathering-induced surface and structural changes that are difficult to capture with conventional methods.
Smart polarization and spectroscopic holography for real-time microplastics identification
Researchers developed a new optical imaging system called SPLASH that simultaneously captures polarization, holographic, and texture data from tiny particles — without needing a traditional spectrometer — and used machine learning to identify different types of microplastics with high accuracy. This approach could enable faster, more practical real-time monitoring of microplastic pollution in water.
Sorting microplastics from other materials in water samples by ultra-high-definition imaging
Researchers used a commercial particle analyzer with ultra-high-definition imaging to sort and identify microplastic particles in water samples. The device successfully distinguished between different plastic types based on how light scatters through or off their surfaces, and could separate microplastics from air bubbles and other non-plastic particles. The study demonstrates a relatively fast and accessible method for characterizing microplastic contamination in water.
Rapid and reliable detection of microplastics in drinking water using fluorescence microscopy
Researchers developed a fluorescence-based method for rapid detection and quantification of microplastics in drinking water, addressing the need for faster and more practical monitoring tools. The method achieved high sensitivity and allowed polymer discrimination without requiring expensive spectroscopic instrumentation.
Classification of Microplastic Particles in Water using Polarized Light Scattering and Machine Learning Methods
Researchers developed a reflection-based, in-situ classification method for microplastic particles in water using polarized light scattering combined with machine learning, successfully identifying colorless particles in the 50-300 micrometer range. The approach circumvents transmission-based interference problems and offers a pathway toward continuous, large-scale microplastic monitoring in aquatic environments.
Polarization digital holography for advanced classification of microplastic particles
Researchers developed a polarization digital holography approach for classifying microplastic particles based on their optical birefringence properties, requiring minimal sample preparation. The non-destructive method can distinguish microplastics from biological material by detecting how particles alter light polarization states.
Microplastics’ Shape and Morphology Analysis in the Presence of Natural Organic Matter Using Flow Imaging Microscopy
Researchers introduced an innovative flow imaging microscopy approach for rapidly identifying and quantifying microplastics in wastewater treatment plant samples. The study demonstrates that this method can simultaneously capture and classify polyethylene and polystyrene particles while also analyzing how natural organic matter affects microplastic shape and morphology.
Material analysis with polarization holography and machine learning
Researchers developed a polarization holographic imaging system combined with machine learning to identify different materials, demonstrating the approach on microplastic identification. This novel optical method could become a fast, non-destructive tool for classifying microplastics in environmental samples.
Imaging-based lensless polarisation-resolving fluid stream analyser for automated, label-free and cost-effective microplastic classification
Researchers developed an imaging-based, lensless, polarisation-resolving fluid stream analyser for automated, label-free, and cost-effective microplastic classification in liquid samples, addressing the lack of in-situ monitoring solutions for ocean environments. The device operates at high flow rates using a custom illumination circuit to reduce motion blur, providing quantitative classification of microplastics without the labour intensity and cost of traditional sampling methods.
Probing Individual Particles in Aquatic Suspensions by Simultaneously Measuring Polarized Light Scattering and Fluorescence
Researchers developed a portable optical sensor that simultaneously measures polarized light scattering and fluorescence from individual particles in water, enabling classification of microplastics versus microalgae in situ. This dual-measurement approach improves particle identification accuracy compared to single-measurement methods.
Outlook on optical identification of micro- and nanoplastics in aquatic environments
Researchers studied the optical properties of micro- and nanoplastics and evaluated near-infrared spectroscopy as a detection method for plastic particles in water, finding that optical techniques show promise for rapid, non-destructive identification. Improved optical detection methods could enable faster and more cost-effective monitoring of plastic pollution in aquatic environments.
Snapshot Polarization-Sensitive Holography for Detecting Microplastics in Turbid Water
Researchers developed a new imaging technique combining holography and polarimetry to detect microplastic particles in turbid water, a setting where traditional detection methods struggle. The approach uses differences in how light polarizes when passing through plastic versus natural particles to distinguish microplastics even in murky conditions. The study demonstrates a promising tool for faster, more practical monitoring of microplastic pollution in real-world water environments.
Detection of Microplastics in Water and Ice
Researchers explored optical detection methods for identifying microplastics floating on water surfaces or trapped in ice, taking advantage of the unique light-reflecting properties of different plastic types. Advances in optical detection are important for developing faster, non-destructive tools for monitoring microplastic pollution.
Polarization transmission characteristics of polystyrene microplastics in aqueous environments
This study investigated how polarized light interacts with polystyrene microplastic particles suspended in water. While primarily a detection methods paper, it advances techniques for identifying microplastics in water and biological fluids like blood and urine, which is essential for accurately measuring human exposure levels.
Portable On-Site Optical Detection and Quantification of Microplastics
Researchers built a portable, on-site optical device to detect and quantify microplastics in water. The device addresses the challenge of detecting small, often translucent particles without a laboratory setting. Portable microplastic detection tools could enable real-time monitoring in the field, supporting faster environmental assessments.
Toward an All-Optical Fingerprint of Synthetic and Natural Microplastic Fibers by Polarization-Sensitive Holographic Microscopy
Researchers developed a polarization-sensitive digital holographic microscopy method that can generate unique all-optical fingerprints to distinguish synthetic microplastic fibers from natural fibers in water without destroying the sample.
Holographic and polarization features analysis for microplastics characterization and water monitoring
Researchers explored digital holography and polarization imaging as a combined technique for characterizing and classifying microplastics in water, computing features including angle of polarization (AoP) and degree of linear polarization (DoLP) to distinguish microplastics from biological and natural particles. The method demonstrated potential for real-time, non-contact, in situ microplastic detection and water quality monitoring.
Optical measurement technologies for detecting low levels of pollution and identifying microplastics in water
Researchers reviewed optical technologies for detecting and identifying microplastics in water, experimentally characterizing the fluorescence spectra of PE and PET microplastic samples under 365 nm excitation and identifying spectral bands enabling identification of different polymer types, then proposing a comprehensive hardware solution using a fluorescent probe for microplastic visualization.
High-throughput microplastic assessment using polarization holographic imaging
Researchers built a portable, low-cost system that uses holographic imaging and polarized light combined with deep learning to automatically detect, count, and classify microplastics in water in real time — without lengthy sample preparation. This tool significantly speeds up microplastic monitoring and could be widely deployed for environmental surveillance.