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In-situ and real-time detection of micro/nanoplastics in water: Combining laboratory experiments and modelling studies for plastic life cycle analysis

2024 Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Abolghasem Pilechi Zi Wang, Zi Wang, Zi Wang, Zi Wang, Zi Wang, Devendra Pal, Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Parisa A. Ariya, Abolghasem Pilechi Devendra Pal, Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Abolghasem Pilechi Maïline Fok Cheung, Abolghasem Pilechi Abolghasem Pilechi Parisa A. Ariya, Parisa A. Ariya, Maïline Fok Cheung, Parisa A. Ariya, Abolghasem Pilechi Maïline Fok Cheung, Maïline Fok Cheung, Abolghasem Pilechi Parisa A. Ariya, Parisa A. Ariya, Parisa A. Ariya, Parisa A. Ariya, Parisa A. Ariya, Abolghasem Pilechi

Summary

Researchers developed a nano-digital inline holographic microscope for real-time in-situ detection of micro- and nanoplastics in freshwater, combining laboratory experiments with modeling to analyze physicochemical characteristics and dynamic behaviors of MPs relevant to plastic life cycle analysis, addressing the 85% research gap between freshwater and marine MP studies.

Body Systems
Study Type Environmental

Maritime micro/nanoplastic research provides valuable insights into oceanic plastic waste remediation. Yet, there is a notable disparity, with micro/nanoplastic research in freshwater being ~ 85% less extensive than that in seawater. Observational studies suggest that over 1000 rivers contribute to ~ 80% of the global riverine plastic input into the oceans. Understanding the presence of micro/nanoplastics in freshwater systems is essential for unraveling the global micro/nanoplastic cycle.In our laboratory, a cutting-edge nano-digital inline holographic microscope (nano-DIHM) was developed for real-time and in-situ micro- and nanoplastic research, including physicochemical characteristics, coatings, and dynamic behaviours in freshwater systems. The nano-DIHM data revealed distinct intensity and optical phase patterns of various types of single particles and clusters of micro/nanoplastics (PE, PP, PS, PET, PVC, and PUR), along with other organics (oleic acid), inorganics (magnetite), and biological materials (phytoplankton). We further incorporated a deep neural network functionality to nano-DIHM for rapid micro/nanoplastic detection in real-environmental waters. With its 4D (3D + time) tracking capability, we utilized nano-DIHM to measure the sedimentation (settling and floating) velocity of plastics in two size categories in water. The experimental results were subsequently integrated into a numerical model (CaMPSim-3D) developed at the National Research Council Canada to simulate the transport of plastic particles in Canadian rivers. Complementary modelling results demonstrated distinct distribution and accumulation patterns of macro-, micro-, and nanoplastic particles in aquatic systems, establishing nano-DIHM a powerful approach for plastic life-cycle analysis.

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