Continuous Sizing and Identification of Microplastics in Water

Sensors (Basel). 2023 Jan 10;23(2):781. doi: 10.3390/s23020781.

Abstract

The pollution of the environment with microplastics in general, and in particular, the contamination of our drinking water and other food items, has increasingly become the focus of public attention in recent years. In order to better understand the entry pathways into the human food chain and thus prevent them if possible, a precise characterization of the particles concerning their size and material is indispensable. Particularly small plastic particles pose a special challenge since their material can only be determined by means of large experimental effort. In this work, we present a proof of principle experiment that allows the precise determination of the plastic type and the particle size in a single step. The experiment combines elastic light scattering (Mie scattering) with inelastic light scattering (Raman scattering), the latter being used to determine the plastic type. We conducted Monte Carlo simluations for the elastically scattered light for different kinds of plastics in a microfluidic cuvette which we could reproduce in the experiment. We were able to measure the Raman signals for different microplastics in the same measurement as the elastically scattered light and thereby determine their material. This information was used to select the appropriate Monte Carlo simulation data and to assign the correct particle size to different materials with only one calibration measurement.

Keywords: Monte Carlo simulations; Raman spectroscopy; light scattering; microplastic.

MeSH terms

  • Drinking Water* / analysis
  • Environmental Monitoring
  • Environmental Pollution
  • Humans
  • Microplastics
  • Plastics
  • Water Pollutants, Chemical* / analysis

Substances

  • Microplastics
  • Plastics
  • Water Pollutants, Chemical
  • Drinking Water