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Papers
61,005 resultsShowing papers similar to Development of Cost-Effective Sensor for Simultaneous Determination of Nanoplastics Using Artificial Neural Network
ClearGraphene and gold nanoparticle-based bionanocomposite for the voltammetric determination of bisphenol A in (micro)plastics
Researchers developed a highly sensitive electrochemical sensor using graphene and gold nanoparticles to detect bisphenol A leaching from plastics and microplastics in water. The sensor achieved very low detection limits and worked reliably in real water samples. This tool could help environmental scientists and regulators better monitor harmful chemical release from plastic pollution in freshwater and marine environments.
Nanoengineering of eco-friendly silver nanoparticles using five different plant extracts and development of cost-effective phenol nanosensor
Researchers used extracts from five plant species to create environmentally friendly silver nanoparticles and built them into a sensor capable of detecting phenol (a chemical pollutant) in water at very low concentrations, including in water from plastic bottles, offering a cheap and green option for monitoring water quality.
Development of a cost-effective and sustainable nanoplatform based on a green gold sononanoparticles/carbon black nanocomposite for high-performance simultaneous determination of nanoplastics
Researchers developed a cost-effective electrochemical sensor combining green-synthesized gold sononanoparticles (derived from Malva sylvestris leaf extract) with carbon black on a Sonogel-Carbon electrode to simultaneously detect nanoplastics via simultaneous determination of hydroquinone, catechol, and resorcinol in water samples.
Nanomaterial-based electrochemical chemo(bio)sensors for the detection of nanoplastic residues: trends and future prospects
This study reviews how nanomaterial-based electrochemical sensors can be used to detect tiny nanoplastic residues in water. Researchers found that these sensors offer a promising, practical approach for monitoring nanoplastic contamination in aquatic ecosystems. The findings suggest that advancing these detection tools is important for implementing effective water quality control measures.
An Edge-Deployable Multi-Modal Nano-Sensor Array Coupled with Deep Learning for Real-Time, Multi-Pollutant Water Quality Monitoring
Scientists developed a compact multi-sensor array that combines three different nanotechnology-based detection methods with deep learning to monitor water pollutants in real time, including nanoplastics at very low concentrations. The device achieved detection limits as low as 87 nanograms per liter for nanoplastics and can process data in just 31 milliseconds on low-power hardware. Field tests in municipal water systems showed the sensor maintained high accuracy even in complex real-world conditions.
Multidimensional Unraveling Insights from an Enzyme-Nanozyme Cascade-Based Electrochemical Biosensor for Screening Microplastic Neurotoxicity
Researchers developed a rapid electrochemical biosensor that can simultaneously detect three key biomarkers in neuronal cells within minutes, enabling assessment of microplastic neurotoxicity. Using this sensor, they found that different types of microplastics affect neurons through distinct mechanisms, and that neurotoxic effects were amplified under high-glucose conditions. The study provides a new tool for quickly evaluating how microplastics impact nervous system health.
Electrochemical and Colorimetric Nanosensors for Detection of Heavy Metal Ions: A Review
This review covers nanosensor technologies being developed to detect heavy metal contamination in environmental and food samples, which is important because heavy metals are linked to cancer, neurological disorders, and developmental problems. While focused on metal detection rather than plastics directly, these affordable and portable sensor technologies could be adapted for detecting microplastic-associated contaminants in water and food.
Recent advances in the detection of microplastics in the aqueous environment by electrochemical sensors: A review
This review surveys recent advances in using electrochemical sensors to detect microplastics in water environments. Researchers evaluated sensors made from carbon materials, metals, biomass materials, and microfluidic chips, comparing their detection capabilities and practical advantages like low cost and high sensitivity. The study highlights electrochemical sensing as a promising approach for real-time, on-site monitoring of microplastic contamination in waterways.
Electrochemical approaches for detecting micro and nano-plastics in different environmental matrices
This review evaluates electrochemical sensor technologies as alternatives to conventional spectroscopy methods for detecting micro- and nanoplastics in environmental samples. Researchers found that electrochemical approaches offer advantages in cost, portability, and speed, making them better suited for widespread field monitoring. The study identifies key technical challenges that need to be resolved before these sensors can be broadly adopted for routine environmental surveillance.
Pretreatment-free SERS sensing of microplastics using a self-attention-based neural network on hierarchically porous Ag foams
Researchers developed a new sensor platform that can identify six common types of microplastics in environmental samples without the time-consuming separation and pre-treatment steps usually required. The system uses specially designed silver surfaces combined with an artificial intelligence algorithm to analyze the unique chemical fingerprints of different plastics. Faster, cheaper microplastic detection tools like this are essential for monitoring contamination levels in water and food that affect human health.
Electrochemical Sensor Based on Spent Coffee Grounds Hydrochar and Metal Nanoparticles for Simultaneous Detection of Emerging Contaminants in Natural Water
Not relevant to microplastics — this paper describes an electrochemical sensor using spent coffee grounds hydrochar to detect the emerging contaminants hydroxychloroquine sulfate and bisphenol A in water.
Concentration analysis of metal-labeled nanoplastics in different water samples using electrochemistry
Researchers developed a low-cost electrochemical method to quantify polystyrene nanoplastics in water by attaching silver ions to their surfaces, reducing the silver to metal, and measuring the resulting signal via voltammetry, achieving 93–112% recovery rates across nanoplastic sizes in lake water and seawater.
Polymer bead size revealed via neural network analysis of single-entity electrochemical data
A neural network was trained to extract microplastic particle size from electrochemical current-spike data recorded when individual polymer beads collide with a microelectrode — a method that avoids the need for optical microscopy. Accurate near-real-time sizing of microplastics in solution is an important analytical advance for water quality monitoring, where detecting and characterizing small plastic particles quickly and affordably remains a major technical challenge.
Borosilicate glass nanopipettes enhanced by synergistic electrostatic interactions and steric hindrance for ultrasensitive electrochemical detection of nanoplastics in environmental water samples
Researchers developed an electrochemical sensor using borosilicate glass nanopipettes enhanced with electrostatic interactions to detect nanoplastics in environmental water samples, achieving ultrasensitive trace-level detection without complex sample pretreatment.
Design, fabrication, and application of electrochemical sensors for microplastic detection: a state-of-the-art review and future perspectives
This review covers recent advances in electrochemical sensors for detecting microplastics in environmental samples, which offer advantages in sensitivity and portability over conventional laboratory methods. Researchers highlight strategies using nanomaterials, molecular imprinting, and surface-enhanced techniques to improve detection capabilities. The study suggests that electrochemical sensors represent a promising path toward affordable, rapid, on-site monitoring of microplastic pollution.
Current perspectives, challenges, and future directions in the electrochemical detection of microplastics
This review examines the emerging use of electrochemical sensors for detecting microplastics in the environment. Researchers found that while electrochemical methods have been widely explored for microplastic removal, their potential as low-cost detection tools remains largely untapped. The study highlights recent advances in nanoimpact techniques and electrode modifications that could make environmental microplastic monitoring more practical and affordable.
Integrating MetalAquaDect SERS platform: Machine-learning assisted real-time monitoring of sub-2mg/L microplastics and nanoplastics in complex matrices
Researchers used a machine learning-assisted SERS platform (AquaDect) to qualitatively and quantitatively detect microplastics and nanoplastics of multiple types and sizes in aqueous solutions at concentrations below 2 mg/L, demonstrating the approach across polystyrene, polyethylene, polypropylene, and PMMA.
Emerging electrochemical techniques for identifying and removing micro/nanoplastics in urban waters
This review examines emerging electrochemical techniques for detecting and removing micro- and nanoplastics from urban waters, highlighting their advantages over conventional methods for enabling real-time monitoring and efficient degradation.
Toward Nano- and Microplastic Sensors: Identification of Nano- and Microplastic Particles via Artificial Intelligence Combined with a Plasmonic Probe Functionalized with an Estrogen Receptor
Scientists created a sensor that combines artificial intelligence with a specialized light-based probe to detect and identify different types of nano- and microplastics in water. The AI-powered system could distinguish between various plastic types with high accuracy, offering a faster and more practical way to monitor plastic contamination in drinking water and environmental samples.
An Edge-Deployable Multi-Modal Nano-Sensor Array Coupled with Deep Learning for Real-Time, Multi-Pollutant Water-Quality Monitoring
Researchers developed an edge-deployable multi-modal nano-sensor array combining graphene transistors, gold nanostar SERS, and quantum dot fluorescence with a CNN-LSTM deep learning model to enable real-time simultaneous detection of diverse water pollutants including microplastics.
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.
Exploring Innovative Approaches for the Analysis of Micro- and Nanoplastics: Breakthroughs in (Bio)Sensing Techniques
This review covers new sensing technologies, including electrochemical and optical biosensors, being developed to detect microplastics and nanoplastics more quickly and affordably than current lab methods. Better detection tools are essential because understanding how much plastic pollution exists in the environment and in our bodies is the first step toward addressing the health risks.
An Electrochemical Biosensing Approach for Detection of Microplastic Beads
Researchers developed an electrochemical enzyme-based biosensor to detect microplastic beads across a range of sizes in water, providing a simpler and lower-cost detection approach than conventional spectroscopic methods for environmental and public health monitoring.
Magnetite-Integrated Electrochemical Sensor for Efficient Detection of PET Microplastics in Water
Researchers developed a simple electrochemical sensor for detecting PET microplastics in water by modifying a screen-printed gold electrode with magnetite nanoparticles derived from mill scale waste. The sensor successfully detected PET in concentrations ranging from 6.25 to 500 mg/L with a detection limit of 3.6 mg/L. The study suggests this portable, cost-effective tool could serve as a practical monitoring method for PET microplastic pollution in aquatic environments.