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Papers
61,005 resultsShowing papers similar to A Fully Integrated Portable Microplastic Detection System-on-Chip With High-Sensitivity RF MEMS Sensors and Narrow-Band Notch-Tracking Dielectric Discrimination Algorithms
ClearPortable Multichannel Measurement System for Real-Time Microplastics Assessment Using Microwave Sensors
Scientists developed a portable multichannel electronic system that uses microwave sensors to detect microplastics in water in real time, capable of simultaneously reading up to four sensors targeting particles of different sizes. The system combines radio-frequency integrated circuits with signal-conditioning hardware for field-deployable monitoring. This kind of low-cost, portable sensing technology could make routine microplastic screening much more practical at waterways and treatment facilities.
A Fully Integrated Microplastic Detection SoC with 0.1–3 GHz Bandwidth and 35 dB Dynamic Range for Narrow-Band Notch RF MEMS Sensor System
Engineers developed a miniaturized microwave sensor chip that can detect microplastics in water by measuring shifts in resonant frequency as particles pass through a microfluidic channel, achieving a wide bandwidth and high dynamic range in a compact integrated circuit design. This type of on-chip detection system could enable portable, real-time water quality monitoring for microplastic contamination at a fraction of the cost of laboratory methods.
RF MEMS Resonance Sensor for Measuring Microplastics Concentration
Researchers designed an RF MEMS resonance sensor capable of detecting microplastics in water at low cost, offering a practical alternative to expensive conventional particle analyzers for environmental monitoring.
An RF MEMS Sensor Driver/Readout SoC With Resonant Frequency Shift and Closed-Loop Envelope Regulation for Portable Microplastic Detection
This paper presents a low-cost portable radio frequency (RF) MEMS sensor system operating at 1.1-1.15 GHz for automated microplastic detection, integrating a driver and readout system-on-chip with resonant frequency shift sensing and closed-loop envelope regulation. The device achieved high-precision microplastic identification, offering a field-deployable alternative to laboratory-based spectroscopic methods.
A Microwave-Based Sensing Platform for Microplastic Detection and Quantification: A Machine Learning-Assisted Approach
Researchers developed a low-cost microwave spiral sensor that can detect and differentiate three common types of microplastic (PTFE, PVC, PET) in water, achieving the highest sensitivity reported for microwave-based approaches and using machine learning to identify unknown polymer types. Affordable, reliable detection tools like this are critical for routine environmental monitoring of microplastic contamination in drinking water and waterways.
Design and Development of an Advanced Sensor Prototype for the Detection of Microplastics
Researchers designed and developed an advanced sensor prototype for detecting microplastics in water, combining spectroscopic and signal processing technologies into a portable device. The prototype demonstrated accurate microplastic identification across multiple polymer types in field conditions.
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.
An RF MEMS Sensor Driver/Readout SoC with Resonant Frequency Shift and Closed-Loop Envelope Regulation for Microplastic Detection
Researchers developed a miniaturized RF MEMS sensor system-on-chip for detecting microplastics by measuring resonant frequency shifts caused by microplastic particles, with a closed-loop power regulation system to maintain accuracy. This is a significant contribution to microplastic detection technology, enabling portable and low-cost field measurement devices.
Complementary Multisplit Ring Resonant MEMS Sensor With Microfilter for Microplastics Concentration Measurement
Engineers developed a small, low-cost sensor that can detect and measure microplastic concentrations on-site without expensive laboratory equipment, using a microelectromechanical filter to collect particles and a resonant circuit to measure how much accumulates. This kind of portable tool could make routine environmental monitoring of microplastics far more accessible, enabling faster detection of pollution in water sources.
Cost-Effective and Wireless Portable Device for Rapid and Sensitive Quantification of Micro/Nanoplastics
Researchers developed a wireless portable device for rapid quantification of micro- and nanoplastics in water samples, offering a field-deployable alternative to laboratory-based analysis for environmental monitoring.
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.
A Microwave-Based Sensing Platform for Microplastic Detection and Quantification: A Machine Learning-Assisted Approach
Researchers developed a low-cost microwave sensor combined with machine learning to detect and quantify microplastics in water and identify polymer types in unknown samples. The platform achieved the highest sensitivity reported among microwave-based approaches for microplastic detection, offering a promising low-cost alternative to spectroscopy-based methods.
Based on a size of Microplastics, Multi-Channel Microwave Resonant MEMS Sensor
Researchers designed a multi-channel MEMS sensor that can simultaneously measure the concentration of microplastics and sort them by size using microwave resonance technology. This miniaturized detection approach addresses a key technical challenge in microplastic monitoring — the need for rapid, size-resolved quantification at low concentrations in water.
Detection of Microplastic Waste by Using a Novel Microfluidic System with an Integrated Object Tracking Algorithm
Researchers developed a novel microfluidic system integrated with an object tracking algorithm to detect and distinguish microplastics from other materials in water, using multiple microchannel designs fabricated from PDMS microchips. The system demonstrated the ability to observe microplastic flow and deformation behaviour within microchannels, providing a new platform for automated microplastic detection and characterization.
Microplastics Detection with Microfluidic Near-Field Microwave Sensors
A new microfluidic sensor integrating a microwave detector was developed that can identify microplastics in water in real time without labelling, by measuring how particles change the dielectric properties of the water flowing through the device. This kind of low-cost, continuous-monitoring sensor could make routine environmental surveillance for microplastic contamination more practical.
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.
Monolithic Integration of Acoustic Enrichment and Resonant Sensing for Trace Detection of Micro-Plastics
Researchers developed a monolithic chip integrating acoustic enrichment and resonant mass sensing via a 3x3 piezoelectric micromachined resonator array, demonstrating particle focusing within 30 seconds and a significantly larger frequency shift for microplastic detection in seawater compared to random particle dispersion.
Field-Portable Microplastic Sensing in Aqueous Environments: A Perspective on Emerging Techniques
This review examines emerging field-portable technologies for detecting and quantifying microplastics in aqueous environments, discussing optical, spectroscopic, and electrochemical sensing approaches. Researchers identify the lack of a standardized, rapid on-site method as the primary bottleneck limiting accurate real-world microplastic monitoring.
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.
Rapid Differentiation between Microplastic Particles Using Integrated Microwave Cytometry with 3D Electrodes
Researchers developed a rapid microplastic identification system combining integrated microwave cytometry with 3D electrodes to differentiate single microparticles in the 14–20 micrometer range as they flow through a microfluidic channel. The system demonstrated the ability to distinguish particle types based on dielectric properties, offering a faster and flow-compatible alternative to conventional spectroscopic techniques for environmental microplastic monitoring.
Size and concentration characterization of microplastic particles in aqueous samples using sensitivity-enhanced coupled planar microwave resonators
Researchers developed a novel microwave sensing platform for real-time detection and characterization of microplastic particles in water samples. The sensor uses an enhanced coupled planar microwave resonator design with a low-cost disposable sample holder, enabling rapid, non-destructive measurement of microplastic particle size and concentration without cross-contamination between tests.
Selective on-site detection and quantification of polystyrene microplastics in water using fluorescence-tagged peptides and electrochemical impedance spectroscopy
Researchers created a portable detection system using fluorescence-tagged peptides and electrochemical sensors to identify polystyrene microplastics in different water types. The method could detect microplastics across a wide size range and in various water conditions, including seawater and tap water. This on-site detection approach could make microplastic monitoring faster and more accessible compared to traditional laboratory methods.
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.