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Papers
61,005 resultsShowing papers similar to Recent developments on aerial lab-on-a-drone platforms for remote environmental monitoring: A review.
ClearChemical Detection Using Mobile Platforms and AI-Based Data Processing Technologies
This review examines the use of mobile platforms such as smartphones and drones equipped with chemical sensors for environmental monitoring, including air pollution and industrial waste detection. Researchers surveyed various sensor technologies and how machine learning is being applied to improve the accuracy of chemical detection from portable devices. While broadly focused on chemical sensing, the work is relevant to developing field-deployable monitoring tools for environmental contaminants including microplastic-associated pollutants.
Design and Validation of an Eco-Compatible Autonomous Drone for Microplastic Monitoring in Port Environments
Researchers designed and tested an autonomous drone system for monitoring microplastic pollution in port environments, where plastic tends to accumulate in semi-enclosed waters. The drone collected water surface samples and transmitted data in real time, demonstrating a practical tool for high-frequency environmental monitoring in busy maritime settings.
An innovative approach for microplastic sampling in all surface water bodies using an aquatic drone
Researchers adapted an aquatic drone to sample microplastics in surface water, finding it produced results comparable to the standard Manta net while offering better reproducibility and improved capture of smaller, lighter particles in both river and coastal environments.
A Global Review of Progress in Remote Sensing and Monitoring of Marine Pollution
This review examines how remote sensing technology, including satellites and drones, is being used to monitor marine pollution such as oil spills, floating debris, and microplastics. While the technology works well for detecting large-scale pollution, methods for tracking microplastics in the ocean are still in early development. Better monitoring tools are needed to understand the full scope of marine microplastic pollution, which ultimately affects seafood safety and human health.
Recent Progress in Micro- and Nanotechnology-Enabled Sensors for Biomedical and Environmental Challenges
This review covers advances in tiny sensors built with micro- and nanotechnology that can detect pollutants in air, water, soil, and food, as well as diagnose diseases. These sensor technologies are relevant to microplastic research because they could enable faster and more sensitive detection of plastic particles in environmental and biological samples.
Innovative Sample Preparation Strategies for Emerging Pollutants in Environmental Samples
This review summarizes recent advances in sample preparation techniques for detecting emerging pollutants, including microplastics and PFAS chemicals, in water, air, and soil. Researchers highlight newer methods like solid-phase microextraction and even drone-based sampling that reduce chemical waste compared to traditional approaches. Better detection methods are essential for accurately monitoring how widespread these contaminants are in the environment.
Advances in the Development of Innovative Sensor Platforms for Field Analysis
This review examined advances in innovative sensor platforms for field environmental analysis, covering technologies for monitoring inorganic and organic air and water pollutants. The authors identified integration of sensing technologies with robotics and the Internet of Things as key future directions for enabling diffuse, real-time environmental monitoring campaigns.
Microplastics in Surface Waters: A Critical Review of Emerging Challenges and Future Perspectives
This review examines microplastic contamination across aquatic environments, covering detection technologies, ecological risks from ingestion by wildlife and transfer through food webs, and how microplastics serve as vectors for pesticides, heavy metals, and chemical pollutants.
Use of Mobile Autonomous Systems for Pollution Control of Inland Water Bodies
Researchers examined the use of mobile autonomous aerial and floating systems for monitoring and controlling pollution in inland water bodies, including detection of illegally dumped construction and household waste that contributes to microplastic and groundwater contamination. The study analyzes existing practices and proposes improvements for using drones and autonomous surface vehicles to enable early detection of unregulated dumping with minimal resources.
Recent Issues and Challenges in the Study of Inland Waters
This paper reviews emerging challenges and methods in inland water monitoring, including use of UAVs for remote sensing, threats to freshwater biodiversity, and detection of contaminants such as microplastics and algal blooms.
Current and emerging techniques for the detection of environmental contaminants
Not directly relevant to microplastics — this review surveys analytical techniques for detecting a broad range of environmental contaminants including heavy metals, synthetic chemicals, pathogens, and e-waste, with microplastics mentioned only as one category among many.
A review of remote sensing technology for plastic waste monitoring
This systematic review evaluates how remote sensing technologies like satellites and drones can detect and monitor plastic waste in the environment. Better monitoring of plastic pollution helps track how plastics break down into microplastics that can eventually enter our food and water, making this technology important for protecting human health.
Simple microfluidic devices for in situ detection of water contamination: a state-of-art review
This review covers recent advances in simple, low-cost microfluidic devices designed for on-site water quality testing rather than expensive laboratory analysis. Researchers found that these portable lab-on-a-chip devices can detect biological, chemical, and physical contaminants including microplastics with increasing accuracy. The study highlights the potential for these tools to make water safety monitoring more accessible, especially in resource-limited settings.
AI-Driven UAV Systems for Real-Time Detection and Monitoring of Airborne Microplastics in Dhaka, Bangladesh
Researchers proposed an AI-integrated UAV system using machine learning, hyperspectral imaging, and remote sensing for real-time detection of airborne microplastics in Dhaka, Bangladesh, with preliminary results suggesting up to 95% detection accuracy as a scalable alternative to laboratory-based methods.
AI-Driven UAV Systems for Real-Time Detection and Monitoring of Airborne Microplastics in Dhaka, Bangladesh
Researchers proposed an AI-integrated UAV system using machine learning, hyperspectral imaging, and remote sensing for real-time detection of airborne microplastics in Dhaka, Bangladesh, with preliminary results suggesting up to 95% detection accuracy as a scalable alternative to laboratory-based methods.
A Review of Emerging Environmental Contaminants of Global Concern
This review covers major categories of emerging environmental contaminants including pharmaceuticals, microplastics, pesticides, and endocrine disruptors, summarizing their sources, ecological effects, and detection methods. Recent advances in sensitive analytical techniques have accelerated the identification and monitoring of these pollutants.
Aerial Remote Sensing of Aquatic Microplastic Pollution: The State of the Science and How to Move It Forward
A systematic literature review of aerial remote sensing for aquatic microplastic detection identified three main approaches — spectral characteristics, floating debris imaging, and AI-based analysis — all still largely experimental rather than operational.
Mini Uav-based Litter Detection on River Banks
Researchers developed a drone-based litter detection system combining high-resolution mapping, deep learning object detection, and vision-based localization that locates riverbank litter with decimeter-level accuracy, enabling automated monitoring of plastic pollution in urban waterway areas.
Microfluidic Sensors for Micropollutant Detection in Environmental Matrices: Recent Advances and Prospects
This review covers advances in tiny sensor devices called microfluidic sensors that can detect trace amounts of pollutants including microplastics in water and environmental samples. Better detection tools matter for human health because they enable faster, more accurate monitoring of microplastic contamination in drinking water and food sources.
Artificial Intelligence-Based Microfluidic Platform for Detecting Contaminants in Water: A Review
This review explores how microfluidic devices combined with artificial intelligence can detect water pollutants including microplastics and nanoplastics in real-time, outside the laboratory. Traditional water testing requires large lab equipment, but these portable chip-based systems can identify contaminants quickly and accurately using machine learning. This technology could improve monitoring of microplastic contamination in drinking water and other water sources.
Eco-Sensing System for Water Pollution and Microplastic Detection
This study evaluates new sensor-based and spectroscopic technologies for detecting microplastics in water in real time, comparing them with traditional lab-based methods. The portable systems showed improved accuracy and efficiency for field use, making it possible to monitor microplastic contamination as it happens. Better detection tools are essential for protecting drinking water sources and understanding the true scale of human microplastic exposure.
Biosensors in environmental analysis of microplastics and heavy metal compounds – A review on current status and challenges
This review examines how biosensors -- devices that use biological materials to detect pollutants -- could provide faster and cheaper monitoring of microplastics and heavy metals in the environment. Current methods for detecting microplastics are expensive and time-consuming, so biosensor technology could help track contamination more widely. Better environmental monitoring is an important step toward reducing the microplastic exposure that ultimately affects human health.
Field-Portable Microplastic Sensing in Aqueous Environments: A Perspective on Emerging Techniques
This review examines emerging field-portable technologies for detecting and quantifying microplastics in aqueous environments, discussing optical, spectroscopic, and electrochemical sensing approaches. Researchers identify the lack of a standardized, rapid on-site method as the primary bottleneck limiting accurate real-world microplastic monitoring.
Recent progress and technological advancements for detection of micro/nano-plastics in the environment
This review surveys the latest analytical tools for detecting micro- and nanoplastics across environmental samples, covering imaging, spectroscopy, electrochemical sensors, and artificial intelligence. It highlights how the very small size and chemical complexity of nanoplastics makes detection especially challenging, and discusses how AI integration is improving accuracy and throughput. Advancing detection methods is foundational to understanding the true scale of microplastic contamination and its risks to ecosystems and human health.