We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Toward Continuous Nano-Plastic Monitoring in Water by High Frequency Impedance Measurement With Nano-Electrode Arrays
AI summary Read the abstract
Researchers explored high-frequency impedance measurements using CMOS nano-electrode arrays as a potential tool for real-time, label-free monitoring of nanoplastic particles in water, demonstrating nano-scale detection capability with potential for continuous environmental monitoring.
We explore the potentiality of high frequency impedance measurements with CMOS nano-electrode arrays for nano-plastic pollutant particles monitoring in water. This technology offers benefits as nano-scale resolution, high parallelization, scalability, label-free single particle detection, and automatic measurements without operator intervention. Simple models are proposed for size and concentration estimation. The former integrates measurements of adjacent electrodes and shows uncertainty comparable to the nominal one with mean prediction error lower than 45 % down to 50 nm radius. The latter accounts for noise in the definition of the sensing volume. We report a worst-case concentration error lower than a factor 1.7 under stationary and continuous flow, which demonstrates the potential of this technology for automated measurements.
More Papers Like This
A microfluidic approach for label-free identification of small-sized microplastics in seawater
AI summary Read the abstract
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.
Development of microfluidic device to monitor the contamination in drinking water using impedance spectroscopy
AI summary Read the abstract
Researchers developed a microfluidic device using electrical impedance spectroscopy to detect and monitor microplastic particles in drinking water. The device aimed to provide a real-time, sensitive method for MP contamination monitoring at the point of use.
Real-time, Economical Identification of Microplastics Using Impedance-based Interdigital Array Microelectrodes and k-Nearest Neighbor Model
AI summary Read the abstract
Researchers developed a low-cost, real-time sensor using impedance spectroscopy to identify and distinguish two common types of microplastics — polyethylene and polystyrene — with up to 90% accuracy. Affordable detection tools like this could make routine monitoring of microplastic contamination in water far more practical.
Microplastics Detection with Microfluidic Near-Field Microwave Sensors
AI summary Read the abstract
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.
Electrochemical Detection of Microplastics in Water Using Ultramicroelectrodes
AI summary Read the abstract
Researchers developed a new electrochemical method for detecting microplastics in water using ultramicroelectrodes. The technique works by monitoring changes in electrical current when microplastic particles collide with and adsorb onto the electrode surface, and the size distributions obtained closely matched independent measurements, demonstrating its potential as a practical detection tool.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.