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Papers
20 resultsShowing papers similar to Emerging IoT-Spectroscopy Methods for Targeted Water Pollutants in Household Point-of-Use (POUs) Environments
ClearMicroplastics Detection in Streaming Tap Water with Raman Spectroscopy
Researchers demonstrated that Raman spectroscopy can detect and identify microplastic particles in streaming tap water in real time, offering a rapid non-destructive method for monitoring plastic contamination in drinking water.
Visualization and characterisation of microplastics in aquatic environment using a home-built micro-Raman spectroscopic set up
Researchers built an affordable micro-Raman spectroscopy system capable of identifying microplastics in water samples, offering a low-cost alternative to expensive commercial equipment. The system could visualize, measure, and chemically identify different types of microplastic particles. This kind of accessible detection technology is important, especially for developing countries, because widespread monitoring of microplastic pollution in water sources is essential for protecting public health.
Identifying microplastic particle in the drinking water using Raman spectroscopy method
This Indonesian study used Raman spectroscopy to identify and analyze microplastic content in drinking water and its sources, addressing concerns about plastic particle ingestion through contaminated beverages. Microplastics as small as 5 mm were detected and characterized, with potential health effects including hormonal imbalances and cardiovascular disease noted.
Towards the Development of Portable and In Situ Optical Devices for Detection of Micro-and Nanoplastics in Water: A Review on the Current Status
This review surveys the development of portable and in-situ optical devices for detecting micro- and nanoplastics in water, as most current detection methods are laboratory-based. Researchers evaluated emerging technologies including portable Raman and infrared spectroscopy, fluorescence-based sensors, and smartphone-integrated detection systems. The study identifies key technical challenges that must be overcome to enable real-time, field-based monitoring of plastic pollution in water.
Survey on IoT Based Microplastic Detection
This research review summarizes new technology that uses internet-connected sensors to detect tiny plastic particles (microplastics) in water in real-time, rather than relying on slow lab tests. Microplastics are a growing health concern because they can get into our drinking water and food chain, potentially harming human health. Better detection methods could help protect our water supplies by catching pollution problems faster.
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.
Tracking microplastic pathways: Real-time IoT monitoring for water quality and public health
Researchers developed a low-cost, IoT-enabled system called TEMPT for real-time microplastic detection in water using turbidity sensors. The accompanying algorithm achieved 91.47 percent accuracy in identifying microplastic contamination, outperforming conventional methods. The study demonstrates how affordable sensor technology could enable large-scale monitoring of microplastic pollution in diverse water bodies.
Raman spectroscopy for microplastic detection in water sources: a systematic review
This systematic review summarizes how Raman spectroscopy, a type of light-based analysis, is used to identify microplastics in drinking water, oceans, and wastewater. Polystyrene, polyethylene, and polypropylene were among the most commonly detected plastics across all water sources. Better detection methods like this are essential for understanding the extent of microplastic contamination in the water we drink.
Integrated Approaches to Water Quality Assessment and Treatment: A Comprehensive Review
This comprehensive review integrates physical, chemical, and biological water quality parameters, examines major pollution sources including emerging contaminants like microplastics, and surveys advances in real-time IoT-enabled monitoring and integrated treatment approaches.
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.
An IoT Based Low-Cost Optical System for Early Detection of Microplastics in Water Sources
Researchers developed a low-cost device that can detect tiny plastic particles (microplastics) in drinking water using simple LED lights and sensors, which could make testing much cheaper and easier than current lab methods. This matters because microplastics are found in water supplies worldwide and may pose health risks, but expensive testing equipment has made it hard to monitor water quality regularly. The study shows this simpler technology could work, potentially helping communities better track plastic pollution in their water sources.
Microplastics Detection in Soil and Water: Leveraging IoT Technologies for Environmental Sustainability
Researchers explored the integration of IoT sensor technologies for detecting and monitoring microplastics in soil and water environments, proposing a connected sensing framework for real-time environmental surveillance. The system enables automated data collection and remote monitoring of microplastic contamination.
An IoT Based Low-Cost Optical System for Early Detection of Microplastics in Water Sources
Scientists have developed a low-cost system that can detect tiny plastic particles (microplastics) in drinking water using simple light sensors and internet technology. This matters because microplastics are found in tap water worldwide and may pose health risks when we drink them, but current detection methods are too expensive for regular monitoring. The new system could make it easier and cheaper to check water quality continuously, helping protect people from plastic pollution in their drinking water.
Optical detection of microplastics in water
Researchers developed a low-cost portable Raman spectrometer prototype costing less than $370 for detecting microplastics in water. The device successfully detected microplastics at concentrations below 0.015% w/v, suggesting it could serve as an accessible monitoring tool for microplastic contamination in drinking water and environmental samples worldwide.
Microplastic and nanoplastic analysis in drinking water and indoor air with Raman micro-spectroscopy
Raman micro-spectroscopy was used to detect and characterize micro- and nanoplastics in drinking water and indoor air, demonstrating the technique's value for assessing human exposure to plastic particles across multiple environments.
Do drinking water plants retain microplastics? An exploratory study using Raman micro-spectroscopy
Researchers quantified microplastic retention at a Danish groundwater-fed drinking water treatment plant using Raman spectroscopy, finding that the plant reduced but did not eliminate microplastic particles down to 1 micron in size, with some microplastics present in the treated drinking water output.
Development of an Iot-Integrated AI System for Microplastic Detection in Water Samples
Researchers developed an IoT-integrated AI system using high-resolution microscopy, a Raspberry Pi platform, and machine learning to detect and classify microplastic particles in water samples in real time via MQTT, achieving detection accuracy exceeding 95% in simulated dataset validation.
A beaker method for determination of microplastic concentration by micro-Raman spectroscopy
This study developed a faster way to measure microplastic concentrations in water by analysing Raman spectral signals directly in solution, skipping the laborious pre-treatment steps required by traditional methods. The concentration of polyethylene particles was found to correlate predictably with Raman signal intensity using a Langmuir model, enabling a simpler field-ready monitoring approach. Rapid detection tools like this are important for tracking microplastic contamination in drinking water and marine environments.
A microfluidic chip enables fast analysis of water microplastics by optical spectroscopy
Researchers integrated a microfluidic chip with Raman and infrared spectroscopy to rapidly identify and characterize microplastics in drinking water, reducing analysis time compared to conventional methods.
Identifying microplastic contamination in drinking water: analysis and evaluation using spectroscopic methods
Researchers developed analytical methods to identify and quantify microplastic contamination in drinking water, evaluating extraction efficiency and detection accuracy across different water types and plastic particle sizes. The study assessed health implications based on measured plastic loads in treated water.