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Sampling and Identification of Microplastics in Groundwater
Published on: November 7, 2025
879
Microplastic Formation and Surface Crack Patterns: A Method for Waste Plastic Identification
Hisayuki Nakatani1,2, Anh Thi Ngoc Dao1
1Chemistry and Materials Engineering Program, Graduate School of Integrated Science and Technology, Nagasaki University, 1-14 Bunkyo-machi, Nagasaki 852-8521, Japan.
Molecules (Basel, Switzerland)
|November 27, 2025
Summary
Marine conditions alter plastic degradation, forming unique crack patterns on polypropylene and polyethylene. These morphologies aid in identifying weathered plastics, supporting cost-effective recycling and reducing pollution.
Area of Science:
- Environmental Science
- Polymer Science
- Materials Science
Background:
- Marine plastic debris, particularly microplastics (MPs), presents a significant global ecological threat.
- Polyolefins like polypropylene (PP) and polyethylene (PE) are major contributors to plastic pollution.
- Understanding MP formation and degradation is crucial for effective mitigation strategies.
Purpose of the Study:
- To review the formation mechanisms of MPs from PP and PE in marine environments.
- To analyze the influence of marine conditions on polymer degradation pathways and surface morphology.
- To explore the potential of these features for polymer identification and recycling.
Main Methods:
- Literature review synthesizing current knowledge on MP formation and degradation.
- Analysis of autoxidation, photodegradation, and the effects of salinity and chloride ions.
- Examination of polymer chain orientation and spherulite structures in crack development.
- Highlighting AI-based image recognition for automated plastic identification.
Main Results:
- Autoxidation is the primary MP formation mechanism, but marine conditions retard radical formation.
- Salinity and chloride ions alter photodegradation kinetics and crack propagation, creating distinct surface morphologies (e.g., rectangular/trapezoidal cracks in PP).
- These unique surface features serve as reliable indicators for polymer identification and can inform recycling strategies.
Conclusions:
- Marine conditions significantly influence the degradation of polyolefins, leading to identifiable surface morphologies.
- Leveraging these unique crack patterns and polymer structures can enhance cost-effective sorting and recycling of weathered plastics.
- AI-based image recognition offers a promising automated solution for identifying weathered plastics, aiding resource recovery and pollution mitigation.

