Differentiating Microplastics from Natural Particles in Aqueous Suspensions Using Flow Cytometry with Machine Learning-Reference-Cited by-同舟云学术

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Differentiating Microplastics from Natural Particles in Aqueous Suspensions Using Flow Cytometry with Machine Learning

Published:2024-05-28 Issue:23 Volume:58 Page:10240-10251
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Wang Xinjie¹²³,Li Yang²^ORCID,Kroll Alexandra⁴^ORCID,Mitrano Denise M.¹^ORCID

Affiliation:

1. Department of Environmental Systems Science, ETH Zurich, 8092 Zurich, Switzerland

2. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875 People’s Republic of China

3. Eawag-Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland

4. Swiss Centre for Applied Ecotoxicology, 8600 Dübendorf, Switzerland

Funder

Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung

China Scholarship Council

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.4c00304

Reference50 articles.

1. Finding the Balance between Research and Monitoring: When Are Methods Good Enough to Understand Plastic Pollution?

2. Occurrence and distribution of micro- and mesoplastics in the high-latitude nature reserve, northern China

3. A critical review of the emerging research on the detection and assessment of microplastics pollution in the coastal, marine, and urban Bangladesh

4. Balancing New Approaches and Harmonized Techniques in Nano- and Microplastics Research

5. Understanding and addressing the environmental risk of microplastics

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