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Papers
61,005 resultsShowing papers similar to A New Approach for Detecting Oceanic Microplastics in Real Time
ClearA novel approach to sampling microplastics
Applied Ocean Sciences is developing a new sensor for near real-time microplastic abundance measurements in water samples that aims to be faster, more efficient, and less expensive than current sampling methods. The technology addresses a growing need given that microplastics have been found throughout the environment, including in oceans, air, soil, food, drinking water, and human tissues. The sensor would be the first to enable rapid field measurements, helping researchers better understand the scope of microplastic contamination.
Optical System for In-situ Detection of Microplastics
Researchers developed a portable optical system capable of detecting, identifying, continuously monitoring, and quantifying microplastics in situ at natural water bodies. The system uses optical techniques to observe the temporal behavior of microplastic concentrations at fixed locations, enabling real-time environmental monitoring without sample collection and laboratory processing.
Real-time detection of microplastics in aquatic environments using emerging technologies
Researchers proposed a real-time microplastic detection system combining AI-enhanced optical sensors and IoT devices, capable of automatically classifying microplastics in ocean water without the time-consuming manual steps required by spectroscopy or microscopy.
State of the Art Offshore In Situ Monitoring of Microplastic
This review examines state-of-the-art technologies for in situ offshore monitoring and detection of microplastics in seawater, addressing the cost and time inefficiencies of conventional manta net sampling followed by laboratory analysis. The review assesses emerging sensor-based and optical systems capable of real-time microplastic detection in coastal and open ocean environments.
Deployment of an innovative microplastic sensor in PLOCAN offshore ocean platform.
Researchers deployed a novel microplastic detection sensor at an offshore ocean monitoring platform, validating its ability to provide continuous real-time measurements of particle concentrations in open seawater. The sensor represents a step toward automated, large-scale marine microplastic surveillance.
Deployment of an innovative microplastic sensor in PLOCAN offshore ocean platform.
Researchers deployed an innovative microplastic sensor at an offshore ocean platform to measure real-time plastic particle concentrations in seawater. The sensor demonstrated feasibility for continuous, in situ monitoring of microplastic contamination in open ocean environments.
Detecting Microplastics in Seawater with a Novel Optical Sensor Based on Artificial Intelligence Models
Detecting microplastics in seawater quickly and accurately is a major technical challenge, and this study developed a novel optical sensor that uses artificial intelligence to identify plastic particles from light-scattering data in real time. The AI-powered system was tested on seawater samples and showed promising accuracy for classifying microplastic types without the need for time-consuming laboratory processing. Automated in-situ sensors like this could enable continuous, large-scale ocean monitoring for microplastic pollution.
Toward In Situ Detection, Sizing and Identification of Microplastics in Water at the National Research Council of Canada
Researchers at the National Research Council of Canada described in-development in situ technologies for detecting, sizing, and identifying microplastics in ocean water, aiming to overcome the time and resource limitations of conventional laboratory-based monitoring methods. The paper outlines instrument concepts targeting real-time, on-site microplastic pollution assessment to improve the efficiency of marine environmental monitoring.
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.
An Artificial Intelligence based Optical Sensor for Microplastic Detection in Seawater
Researchers developed an AI-based optical sensor system combining an optical detection subsystem and an image acquisition subsystem to detect and identify microplastic particles in seawater, distinguishing them from naturally occurring marine particles. The device applies AI algorithms to analyze consecutive image frames and classify particles as microplastic or non-microplastic, with the full system housed in two portable cases.
Miniaturization of Sensor Systems for Marine Environmental Measurement Based on Optofluidic Technology
This paper reviews advances in miniaturised optofluidic sensor systems for marine environmental monitoring, with applications to detecting pollutants including microplastics. It evaluates current technologies and highlights the potential of integrated optical and microfluidic platforms for in situ, low-cost ocean surveillance.
On the Potential for Optical Detection of Microplastics in the Ocean
This study examines the potential for optical methods to detect microplastics in ocean water at large spatial scales, noting that while optical detection is promising for overcoming the limitations of discrete water sampling, methods remain in early development and reference libraries of microplastic optical properties are sparse.
State of the art detection methods of microplastics as marine litter: a mini review
This mini-review surveys the current best methods for detecting and measuring microplastics in marine environments, covering the principles, strengths, and limitations of techniques from spectroscopy to emerging real-time sensors. It highlights the ongoing challenges posed by microplastics' small size, varied composition, and widespread distribution in the ocean.
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.
In-situ detection of microplastics in the aquatic environment: A systematic literature review
This systematic review evaluates emerging technologies for detecting microplastics directly in water environments without needing to collect samples and bring them to a lab. Developing reliable in-situ detection methods is important because current lab-based approaches are slow and expensive, making it difficult to track where microplastics are concentrated in the water systems that supply drinking water and seafood.
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.
Real-Time Detection of Microplastics Using an AI Camera
Researchers developed a camera-based system using artificial intelligence to detect and measure microplastics in real time as they move through water. The system was tested with three different camera setups and could identify particles, measure their size, and track their speed. This technology could provide a faster and more practical alternative to the labor-intensive laboratory methods currently used to monitor microplastic pollution.
Compact low-cost sensor for microplastics detection and classification in marine and aquatic environments
Researchers developed a compact, low-cost sensor for detecting and classifying microplastics in marine and aquatic environments, designed to reduce the economic burden of MP monitoring along coastlines and enable more frequent and scalable environmental surveillance.
Compact low-cost sensor for microplastics detection and classification in marine and aquatic environments
Researchers developed a compact, low-cost sensor for detecting and classifying microplastics in marine and aquatic environments, designed to reduce the economic burden of MP monitoring along coastlines and enable more frequent and scalable environmental surveillance.
Optical innovations in microplastic analysis: a critical review of detection strategies
This review examines recent advances in optical methods for detecting microplastics, including spectroscopy, imaging techniques, and emerging sensor technologies like surface-enhanced Raman spectroscopy and fluorescence lifetime imaging. Researchers found that AI-driven computational models are significantly improving the speed and accuracy of microplastic identification. However, challenges remain with organic matter interference and the lack of standardized detection protocols across laboratories.
Real-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.
Exploring Innovative Approaches for the Analysis of Micro- and Nanoplastics: Breakthroughs in (Bio)Sensing Techniques
This review covers new sensing technologies, including electrochemical and optical biosensors, being developed to detect microplastics and nanoplastics more quickly and affordably than current lab methods. Better detection tools are essential because understanding how much plastic pollution exists in the environment and in our bodies is the first step toward addressing the health risks.
Real-Time Quantification of Microplastics in Aquatic Systems via Fluorescence Microscopy
Researchers developed a real-time fluorescence microscopy method capable of quantifying microplastics in aquatic systems with high precision, providing a faster and more accessible tool for monitoring microplastic contamination in drinking water reservoirs.
Toward in Situ Identification of Microplastics in Water Using Raman Spectroscopy and Machine Learning
This study developed an early-stage system combining Raman spectroscopy and machine learning to identify microplastics directly in ocean water in real time, without needing to collect and process samples in a lab. A support vector machine classifier trained on spectral libraries correctly identified all pristine microplastic samples and most environmental ones, demonstrating that field-deployable automated detection is feasible. Accurate real-time monitoring tools are urgently needed to understand where microplastics concentrate in the ocean and to track pollution trends.