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Addressing Microplastic Environmental Data Gaps Through Undergraduate Research
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This study proposes using underwater vehicles and standardized sampling protocols to fill data gaps on microplastic distribution in undersampled aquatic environments. The approach aims to improve spatial coverage and consistency in global microplastic monitoring datasets.
Plastic pollution from freshwater and atmospheric sources into coastal and marine environments is complex and the extent is largely unquantified. Such a gap in knowledge of marine microplastic sources, fate, and transport requires a spectrum of engineers and scientists, so that technical, social, and policy solutions can be developed. Citizen scientists are low cost and can collect an abundance of field data. Experienced scientists can complete costly but advanced analytical analyses on a smaller sample of plastics. This project engages engineering and science undergraduate students (moderate experience) in microplastic data collection and analysis to fill gaps in microplastic data for the state of Rhode Island. Methods were developed to collect and analyze local river and atmospheric data. River samples were collected from a range of urban and rural sample sites. Atmospheric samples were collected by dry deposition into a custom-designed stainless steel collector located on campus. Nile red dye was used to stain the samples, which were then visually enumerated by fluorescence using a retrofitted compound microscope. All samples contained microplastics and suspected microplastics (as identified by visual analysis). Rural freshwater samples contained fewer average pieces per liter than the more urban samples. Atmospheric deposition of microplastic fibers on the moderately urban campus site was within the ranges (fibers per square meters per day) reported in other urban locations globally. Continued data collection by the undergraduate student team in collaboration with a variety of local partners from citizen scientists to experts in the field is required to develop a robust understanding of the abundance, distribution, fate, and transport of plastics in the state of Rhode Island to mitigate inputs and impacts to the Narragansett Bay.
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This systematic review explores how autonomous underwater vehicles (AUVs) could be used to detect microplastics in the ocean in real time, replacing slower traditional sampling methods. While promising, the technology is still developing and faces challenges with sensor accuracy and deep-water operation. Better detection tools like these could help scientists understand how widespread microplastic contamination really is in marine environments.
Exploring the Potential of Autonomous Underwater Vehicles for Microplastic Detection in Marine Environments: A Review
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This review explores how autonomous underwater vehicles equipped with sensors could detect microplastics directly in the ocean, rather than relying on labor-intensive water sampling. Current detection methods are slow and expensive, making real-time monitoring difficult. Advances in onboard sensing technology could dramatically improve our understanding of where microplastics concentrate in marine environments.
Improvement and Empirical Testing of a Novel Autonomous Microplastics-Collecting Semisubmersible
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Researchers improved an autonomous microplastic-collecting robot, testing design modifications that enhanced sampling efficiency and navigation in surface water environments, moving toward practical automated monitoring of plastic pollution.
Use of an uncrewed surface vehicle and near infrared hyperspectral imaging for sampling and analysis of aquatic microplastics
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Researchers combined an uncrewed surface vehicle with near-infrared hyperspectral imaging to sample and analyze aquatic microplastics larger than 300 micrometers. The approach demonstrated improved scalability and repeatability compared to traditional trawling methods, offering a more efficient way to monitor microplastic contamination in coastal waters.
An innovative approach for microplastic sampling in all surface water bodies using an aquatic drone
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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.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.