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Papers
20 resultsShowing papers similar to RF MEMS Resonance Sensor for Measuring Microplastics Concentration
ClearBased 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.
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.
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.
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.
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.
Passive Disposable Microwave Sensor for Online Microplastic Contamination Monitoring
Researchers developed a passive disposable microwave sensor for online monitoring of microplastic contamination in water, using a sensitivity-enhanced planar dual-resonator tag-reader structure combined with a silicon resonator to enable non-contact concentration measurement.
Microplastic Detection in Soil and Water Using Resonance Microwave Spectroscopy: A Feasibility Study
Researchers conducted a feasibility study using resonance microwave reflectometry to detect and quantify microplastics in soil and water, demonstrating that microplastic concentration could be expressed as a linear function of measured S11 resonance frequency shifts in artificially prepared samples.
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 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.
Portable 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.
Comparative Analysis of Sub-6 GHz Microwave Sensors Suitable for Low-Cost In-Situ Microplastic Detection
This engineering paper compares the performance of several microwave resonator sensor designs for detecting microplastics in water, motivated by the growing availability of low-cost handheld instruments. Laboratory tests showed meaningful differences in sensitivity between sensor geometries, with one design showing the highest relative frequency shift in response to a nylon sample. While purely technical, such sensor development work is an important step toward affordable, portable microplastic monitoring tools that could be deployed in rivers, tap water systems, or food processing facilities.
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.
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.
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.
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.
Sub-6 GHz Microwave Sensor Targeting Microplastic Detection
Researchers designed an enhanced sub-6 GHz microwave sensor for low-cost microplastic detection by modifying sensor geometry to better utilize the bandwidth of portable microwave vector network analyzers. Electromagnetic simulations and experimental measurements validated the redesigned sensor, which calibrates resonant frequency as a function of effective permittivity to quantify microplastic concentrations in water.
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.
A Fully Integrated Portable Microplastic Detection System-on-Chip With High-Sensitivity RF MEMS Sensors and Narrow-Band Notch-Tracking Dielectric Discrimination Algorithms
Researchers developed a compact, portable chip that can detect and identify common microplastic types (PE, PP, PET, PS, PMMA) using radio-frequency sensors and signal-tracking algorithms, validating results against real-world samples including laundry wastewater. This kind of low-cost, on-site detection technology is important because existing lab-based methods are expensive and slow, limiting how widely microplastics can be monitored in the environment.
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.