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Pollution Mechanisms and Source Apportionment of Typical Pollutants in Aquatic Environments
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This collection of studies rounds up new scientific tools—like chemical fingerprinting and machine learning—that help researchers pinpoint exactly where water pollutants like microplastics and contaminated runoff are coming from, and how well treatment plants remove them. Knowing the specific sources of pollution matters because it allows for more targeted cleanup efforts, which could ultimately reduce the amount of microplastics and contaminants that end up in our drinking water and food supply. This is a research roundup rather than a single new discovery, but it lays groundwork for smarter water safety policies going forward.
This Reprint presents a collection of cutting-edge research related to the pollution mechanisms and source apportionment of typical pollutants in aquatic environments. The contributions address critical challenges such as the transport of dissolved organic matter in surface water and groundwater, the source apportionment of groundwater contamination using the Positive Matrix Factorization model in rapidly urbanized regions, and the spatiotemporal distribution and removal efficiency of microplastics in wastewater treatment plants. By integrating emerging approachesincluding multivariate statistical techniques, stable isotope analysis, high‑resolution mass spectrometry fingerprinting, and machine learningthis Reprint demonstrates how multi‑technique frameworks can overcome the limitations of traditional source identification methods. These advances provide new insights into the whole‑process mechanisms of pollutants, comprising sourcepathwaysink, and offer scientific support for targeted remediation, risk prevention, and ecological restoration. The Reprint serves as a valuable resource for researchers and professionals in water environment science, analytical chemistry, ecotoxicology, and environmental engineering. It also contributes to the development of more precise and forward‑looking water quality management policies, promoting a mechanism‑driven, data‑enabled, and regulation‑oriented approach to solving complex water pollution challenges.
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Prioritization of Emerging Pollutants Used for Fingerprinting Specific Water Sources
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Researchers investigated emerging pollutants, including microplastics, as fingerprinting tools for identifying specific water contamination sources. The study prioritized various synthetic organic compounds based on their potential for bioaccumulation and toxicological effects, aiming to improve monitoring and regulatory frameworks for water quality management.
From Detection to Source Attribution: Molecular Fingerprinting and Transformation Pathways of Nanoplastics in Drinking-Water Systems
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Tiny plastic particles (nanoplastics) in your tap water can come from many sources—the original water supply, treatment plants, pipes, or even the bottle you're drinking from—but figuring out exactly where they came from has been really hard. This review pulls together existing research on advanced lab techniques that act like "fingerprinting" tools, analyzing a particle's chemical makeup, surface wear, and breakdown patterns to trace it back to its source. This matters because pinpointing where nanoplastics enter our water is a necessary step before scientists can figure out which sources are riskiest and how to reduce our exposure to them.
Microplastics identification framework: Integration of microplastic-derived dissolved organic matter fingerprints and machine learning
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Microplastics break down in water and release chemical "fingerprints" that differ depending on the type of plastic—and scientists just built an AI tool that can read these fingerprints to identify which plastics are present in a water sample, with over 90% accuracy even in real river water. This matters because knowing exactly which types of microplastics are contaminating our water is a key step toward understanding their sources and potential health risks, since different plastics break down differently and may carry different chemical concerns for people who drink or use that water.
Empowering precision source apportionment and risk management of microplastics with an optimized fingerprint-receptor model and smart platform
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Scientists developed a smarter way to trace tiny plastic particles (microplastics) found in river sediments back to their sources—like household wastewater, farming, litter, or industry—by analyzing their shape, size, color, and material type together instead of just one feature at a time. Surprisingly, industrial sources made up only a small share of the actual plastic particles found but caused nearly a third of the environmental harm, showing that where microplastics come from matters as much as how much there is. This tool could help governments target cleanup and prevention efforts more effectively, which matters since microplastics can end up in water and food supplies that humans consume.
Microplastics in water: types, detection, and removal strategies
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This review covers the different types of microplastics found in water, methods used to detect them, and strategies for removing them from water sources. Microplastics enter water systems from both industrial sources and the breakdown of larger plastic waste, posing threats to aquatic life and potentially human health. The authors evaluate removal techniques including filtration, chemical treatment, and biological approaches that could help clean contaminated water.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.