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Papers
61,005 resultsShowing papers similar to Detection of Microplastic Waste by Using a Novel Microfluidic System with an Integrated Object Tracking Algorithm
ClearDesign and Method Research of Intelligent Detection System for Marine Microplastics Driven by Microfluidic Chip
Researchers designed an intelligent detection system for marine microplastics using a microfluidic chip combined with machine learning image analysis. Simulation testing validated the chip's ability to capture and sort microplastic particles from seawater samples, with AI classification achieving high accuracy across particle types.
Fluorescence microfluidic system for real-time monitoring of PS and PVC sub-micron microplastics under flowing conditions
Researchers developed a fluorescence microfluidic system for real-time monitoring of polystyrene and PVC sub-micron particles in water, demonstrating rapid detection capability suitable for continuous plastic pollution monitoring in water supplies.
Microfluidic Devices for Microplastics Separation and Identification
This thesis explored the application of low-cost microfluidic devices for separating and identifying microplastics in water and biological samples, developing novel analytical platforms with potential for scalable environmental monitoring and detection of plastic particles.
A microfluidic device for size-based microplastics and microalgae separation
Researchers designed a microfluidic device that separates microplastics and microalgae by size using controlled flow patterns. The device could be used to isolate microplastics from complex environmental water samples containing biological material, improving the accuracy of microplastic monitoring.
Towards online monitoring of water pollutants: an optofluidic chip for characterizing microplastics in water
Researchers developed a miniaturized, low-cost optofluidic chip for online monitoring and characterization of microplastics in drinking water, enabling real-time detection without sample pre-concentration. The smart chip design integrated optical and microfluidic components to identify and size microplastic particles, demonstrating feasibility for continuous water quality surveillance.
Detection of microplastics by microfluidic microwave sensing: An exploratory study
Researchers developed a compact microwave sensor on a microfluidic chip to detect microplastics in water samples. The system works by measuring how the presence of plastic particles changes the electrical properties of water. While the technology shows promise as a rapid and portable detection method, its current sensitivity needs improvement before it can detect the low microplastic concentrations typically found in natural freshwater.
A microfluidic approach for label-free identification of small-sized microplastics in seawater
Researchers developed a microfluidic approach for label-free identification of small microplastics in seawater, using impedance-based detection to distinguish different polymer types without chemical labeling, enabling faster and more practical environmental monitoring.
A Low-Cost Microfluidic Method for Microplastics Identification: Towards Continuous Recognition
Researchers developed a low-cost 3D-printed microfluidic device combining Nile Red staining with continuous-flow processing to enable rapid, affordable microplastic identification, demonstrating performance comparable to conventional staining methods while supporting field-deployable monitoring.
Microfluidics-based electrophoretic capture and Raman analysis of micro/nanoplastics
Researchers developed a microfluidics-based electrophoretic capture system combined with Raman spectroscopy analysis to detect and characterize micro- and nanoplastics from aquatic ecosystems, exploiting differences in polymer composition to improve identification accuracy.
Machine learning-integrated droplet microfluidic system for accurate quantification and classification of microplastics
Scientists developed a new microplastic detection system that combines tiny droplet-based testing with machine learning to quickly identify and classify microplastic particles. This portable system can accurately detect microplastics on-site without expensive lab equipment, which could make widespread environmental and food safety monitoring much more practical.
Droplet-based Opto-microfluidic Device for Microplastic Sensing in Aqueous Solutions
Researchers developed a microfluidic device using light to detect plastic microspheres in water droplets, offering a new tool for identifying microplastic contamination in aquatic environments.
Detection of Microplastics Based on a Liquid–Solid Triboelectric Nanogenerator and a Deep Learning Method
Scientists developed a new microplastic detection device based on a liquid-solid friction generator combined with deep learning AI to identify different types of plastic particles. The system can classify microplastics by material type with high accuracy using electrical signals generated when plastic particles contact a liquid surface. This technology could make it easier and cheaper to monitor microplastic contamination in water supplies.
Microfluidic Sensors for Micropollutant Detection in Environmental Matrices: Recent Advances and Prospects
This review covers advances in tiny sensor devices called microfluidic sensors that can detect trace amounts of pollutants including microplastics in water and environmental samples. Better detection tools matter for human health because they enable faster, more accurate monitoring of microplastic contamination in drinking water and food sources.
Assessment of microplastics using microfluidic approach
Researchers developed a microfluidic chip-based method using Nile red fluorescent staining to detect and count microplastic particles, offering a faster and less expensive alternative to conventional microscopy and spectroscopy approaches for environmental monitoring.
In-situ microplastic pre-treatment and sorting using an inertial microfluidic device
Researchers developed an inertial microfluidic device capable of pre-treating and sorting microplastics in situ, enabling separation of particles by size and shape prior to chemical analysis or recycling. The system demonstrates the viability of microfluidics for scalable microplastic processing, supporting both environmental monitoring and potential resource recovery applications.
Microfluidic Microwave Sensor for Rapid Detection of Microplastics in Water: Optimization, Modeling, and Performance Evaluation
Researchers developed a microfluidic sensor that uses microwave technology to rapidly detect microplastics in water samples without physical contact. The sensor was optimized to distinguish between different concentrations and sizes of plastic particles with high sensitivity. The technology could enable faster and more practical on-site monitoring of microplastic contamination in water supplies.
Artificial Intelligence-Based Microfluidic Platform for Detecting Contaminants in Water: A Review
This review explores how microfluidic devices combined with artificial intelligence can detect water pollutants including microplastics and nanoplastics in real-time, outside the laboratory. Traditional water testing requires large lab equipment, but these portable chip-based systems can identify contaminants quickly and accurately using machine learning. This technology could improve monitoring of microplastic contamination in drinking water and other water sources.
Simple microfluidic device for simultaneous extraction and detection of microplastics in water using DC electrical signal
A simple microfluidic device using a DC electric field between two microwires in a straight channel was developed to simultaneously extract and detect microplastics from water via electrophoretic accumulation. The compact design offers a rapid, low-cost approach to microplastic monitoring.
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.
Integrated sample processing and counting microfluidic device for microplastics analysis
Researchers developed an integrated microfluidic device that combines sample digestion, filtration, and counting processes for streamlined microplastic analysis. The study demonstrated that this automated approach can successfully quantify microplastics from both river water sediment and fish gastrointestinal tract samples, offering a faster and more accessible alternative to conventional time-consuming manual analysis methods.
Microfluidic Detection and Analysis of Microplastics Using Surface Nanodroplets
Researchers developed a microfluidic device that uses tiny surface droplets to capture and analyze microplastics as small as 10 micrometers from water samples. The captured particles can be examined under a microscope and identified by type using Raman spectroscopy without removing them from the device. The method offers a simpler, faster, and more affordable way to detect small microplastics compared to conventional filtration techniques.
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.
Automatic Detection of Microplastics in the Aqueous Environment
Researchers developed a deep-learning system for real-time detection and counting of microplastics in freshwater, achieving high accuracy for particles 1 mm and larger.
Microplastic in situ detection based on a portable triboelectric microfluidic sensor
Researchers developed a portable triboelectric microfluidic sensor that detects microplastics in water by measuring electrical charges generated as particles flow through a microchannel, demonstrating linear response to polystyrene particle size and concentration for field-deployable environmental monitoring.