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61,005 resultsShowing papers similar to Electrical impedance spectroscopy based strategy for detecting and differentiating microplastics in water
ClearDetection of microplastics in water using electrical impedance spectroscopy and support vector machines
Researchers developed an electrical impedance spectroscopy method combined with support vector machine classifiers that can distinguish polypropylene and polyolefin microplastics in water — including at varying salinity and organic content — offering a promising approach for rapid in-situ microplastic detection.
Measuring Microplastic Concentrations in Water by Electrical Impedance Spectroscopy
Researchers developed a method using electrical impedance spectroscopy to measure microplastic concentrations in water samples without requiring complex laboratory equipment. The technique can distinguish between different concentrations and types of plastic particles based on their electrical properties. The study offers a potentially faster and more accessible approach for routine microplastic monitoring in water treatment and environmental settings.
Protocol for low-cost quantification of microplastics through electrochemical impedance spectroscopy from aqueous matrices
Most methods for detecting microplastics in water require expensive equipment or time-consuming laboratory steps. This study presents a simple protocol using electrochemical impedance spectroscopy (EIS) — measuring how microplastics change the electrical resistance of a solution — to rapidly and cheaply quantify plastic particles in water samples. Validated against conventional optical methods, the approach could make routine microplastic monitoring more affordable and accessible, particularly for lower-resource settings or high-throughput screening applications.
Approaches to Detect Microplastics in Water Using Electrical Impedance Measurements and Support Vector Machines
Researchers developed an electrical impedance spectroscopy method enhanced with machine learning to detect microplastics in water, achieving over 98% classification accuracy for stationary samples and over 85% for dynamic flow measurements across different plastic materials and particle sizes.
Investigating microplastics through electrochemical impedance spectroscopy: an analytical method for their label-free analysis
Researchers demonstrated that electrochemical impedance spectroscopy (EIS) — a technique that measures how materials resist electrical current — can quickly detect and quantify microplastics in water without chemical labels, and can even distinguish between clean plastic particles and those contaminated with lead ions. This label-free method offers a faster, simpler alternative to conventional lab techniques for monitoring microplastic pollution and the toxic metals they carry.
Microplastic Detection in Water Using a Sensor Network, An Electronic Tongue and Spectroscopy Impedance
Researchers developed an electronic sensor system using impedance spectroscopy to detect microplastics in drinking water without needing expensive laboratory equipment. By running 160 experiments with different water contaminant combinations, they showed that the technique can distinguish microplastic contamination using electrochemical signals and statistical analysis. Affordable, portable detection systems like this are important for monitoring water supplies in regions where lab infrastructure is limited.
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.
Development of microfluidic device to monitor the contamination in drinking water using impedance spectroscopy
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.
Coupling electrochemical and spectroscopic methods for river water dissolved organic matter characterization
Researchers combined electrochemical impedance spectroscopy with traditional light-based methods to better characterize dissolved organic matter in river water — organic compounds that interact with pollutants including microplastics. The integrated approach revealed patterns in organic matter composition that optical methods alone would miss, offering a more complete picture of water quality.
Microplastics Detection and Estimation by Electrical Impedance Spectroscopy Advances: Recent Trends
This review examines recent advances in electrical impedance spectroscopy (EIS) as a detection and estimation method for microplastics, surveying emerging trends in sensor design and signal analysis. The authors assess the potential of EIS-based approaches as rapid, cost-effective alternatives to conventional spectroscopic identification methods.
Microplastic Identification Using Impedance Spectroscopy and Machine Learning Algorithms
Scientists developed a new method to detect and classify microplastics in water using electrical measurements and machine learning. The system can identify different sizes of PET microplastic particles with high accuracy, offering a potential tool for real-time water quality monitoring. Better detection methods like this are important for understanding how much microplastic contamination exists in drinking water and other water sources.
Label-free impedimetric analysis of microplastics dispersed in aqueous media polluted by Pb2+ ions
Researchers developed a simple electrochemical method to distinguish between clean and lead-contaminated microplastics in water without needing complex laboratory equipment. The technique uses impedance measurements to rapidly detect whether microplastics carry adsorbed heavy metal pollutants. The approach could be useful for quick field assessments of how contaminated microplastics are in environmental water samples.
Highly selective electrochemical impedance spectroscopy-based graphene electrode for rapid detection of microplastics
A graphene electrode derived from petroleum waste was developed and applied as an electrochemical impedance spectroscopy sensor for highly selective detection of microplastics in aquatic samples. The approach offers a sensitive and selective alternative to optical methods for environmental microplastic monitoring.
Flow-Through Quantification of Microplastics Using Impedance Spectroscopy
Impedance spectroscopy was demonstrated as a high-throughput, flow-through method for quantifying and sizing microplastics in water without visual sorting or preprocessing, with spike-and-recovery experiments in tap water validating its potential for rapid environmental monitoring.
Refined Analysis of Microplastics: Integrating Infrared and Raman Spectroscopy
This study optimized the use of Fourier Transform Infrared Spectroscopy (FTIR) and Raman spectroscopy for characterizing microplastics in aquatic environments, finding that integrating both techniques improves identification accuracy and physicochemical characterization.
Microplastics in different water samples (seawater, freshwater, and wastewater): Methodology approach for characterization using micro-FTIR spectroscopy
Researchers developed a standardized methodology for detecting and characterizing small microplastics (10-500 micrometers) in different water types using micro-FTIR spectroscopy. The study tested various sample preparation approaches for seawater, freshwater, and wastewater, establishing reliable protocols for rinsing, digestion, and microplastic collection that can be used to assess treatment plant removal efficiency.
Raman Spectroscopy and Machine Learning for Microplastics Identification and Classification in Water Environments
Researchers combined Raman spectroscopy with machine learning algorithms for automated identification and classification of microplastics in water environments, achieving high accuracy in distinguishing different polymer types based on spectral fingerprints.
Development of a Near-Infrared Imaging System for Identifying Microplastics in Water
Researchers developed a near-infrared imaging system capable of automatically identifying and characterizing microplastics suspended in water, successfully obtaining material identification images without the manual sorting typically required by conventional methods.
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.
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.
Integrated LIBS-Raman spectroscopy: A comprehensive approach to monitor microplastics and heavy metal contamination in water resources
Researchers developed an integrated LIBS-Raman spectroscopy approach for simultaneously detecting microplastics and heavy metal contamination in water, offering a comprehensive and efficient monitoring tool for water quality assessment.
Rapid and direct detection of small microplastics in aquatic samples by a new near infrared hyperspectral imaging (NIR-HSI) method
Researchers developed a rapid near-infrared hyperspectral imaging method capable of detecting and chemically identifying small microplastics (down to a few hundred micrometers) in aquatic samples faster and with less labor than traditional spectroscopy approaches.
Toward Continuous Nano-Plastic Monitoring in Water by High Frequency Impedance Measurement With Nano-Electrode Arrays
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.
Comparison of μ-ATR-FTIR spectroscopy and py-GCMS as identification tools for microplastic particles and fibers isolated from river sediments
Researchers compared two identification methods — micro-ATR-FTIR spectroscopy and pyrolysis-GC-MS — for characterizing microplastics extracted from river sediments, finding that the methods generally agreed on dominant polymers but differed in sensitivity to certain types. The comparison provides practical guidance for choosing analytical methods in freshwater microplastic monitoring programs.