Risk assessment framework for microplastic in marine environments

Sci Total Environ. 2023 Nov 25:901:166459. doi: 10.1016/j.scitotenv.2023.166459. Epub 2023 Aug 20.

Abstract

Constantly raising microplastic (MP) contamination of water sources poses a direct threat to the gentle balance of the marine environment. This study focuses on a multifactor hazard evaluation of conventional (polyethylene - PE, polypropylene - PP, and polystyrene - PS) and alternative (polyethylene terephthalate with 25 % or 50 % recycled material and polylactic acid) plastics. The risk assessment framework explored included MP abundance, water acidification potential, surface oxidation, fragmentation, and bacterial growth inhibition. Based on MP monitoring campaigns worldwide, we conclude that PE-based plastics are the most abundant MPs in water samples (comprise up to 82 % the MP in those samples). A year-long weathering experiment showed that PS-based and PP-based plastics were oxidized to a higher extent, resulting in the highest water acidification with pH reduction of up to three orders of magnitude. Finally, our laboratory experiments showed that weathered PS was the most fragile plastic during mechanical degradation, while both PP- and PS-based plastic extracts showed a significant growth inhibition toward the marine microorganisms (Bacillus sp. and Pseudoaltermonas sp). Using the examined factors as weighted inputs into our framework, this holistic evaluation of hazards suggest that PP-based plastic products were the most hazardous compared to the other conventional and alternative plastic types.

Keywords: Hazard potential; Marine environment; Microplastic; Multifactor; Natural waters; Risk assessment.

MeSH terms

  • Environmental Monitoring
  • Microplastics* / toxicity
  • Plastics
  • Polyethylene
  • Polystyrenes
  • Water
  • Water Pollutants, Chemical* / analysis
  • Water Pollutants, Chemical* / toxicity

Substances

  • Microplastics
  • Plastics
  • Water Pollutants, Chemical
  • Polystyrenes
  • Polyethylene
  • Water