Raman imaging of microplastics and nanoplastics generated by cutting PVC pipe

Yunlong Luo, Md Al Amin, Christopher T. Gibson, Clarence Chuah, Youhong Tang, Ravi Naidu, Cheng Fang

Research output: Contribution to journalArticlepeer-review

Abstract

The characterisation of nanoplastics is much more difficult than that of microplastics. Herewith we employ Raman imaging to capture and visualise nanoplastics and microplastics, due to the increased signal-noise ratio from Raman spectrum matrix when compared with that from a single spectrum. The images mapping multiple characteristic peaks can be merged into one using logic-based algorithm, in order to cross-check these images and to further increase the signal-noise ratio. We demonstrate how to capture and identify microplastics, and then zoom down gradually to visualise nanoplastics, in order to avoid the shielding effect of the microplastics to shadow and obscure the nanoplastics. We also carefully compare the advantages and disadvantages of Raman imaging, while giving recommendations for improvement. We validate our approach to capture the microplastics and nanoplastics as particles released when we cut and assemble PVC pipes in our garden. We estimate that, during a cutting process of the PVC pipe, thousands of microplastics in the range of 0.1–5 mm can be released, along with millions of small microplastics in the range of 1–100 μm, and billions of nanoplastics in the range of <1 μm. Overall, Raman imaging can effectively capture microplastics and nanoplastics.

Original languageEnglish
Article number118857
Number of pages9
JournalEnvironmental Pollution
Volume298
DOIs
Publication statusPublished - 1 Apr 2022

Keywords

  • Logic-based algorithm
  • Microplastics
  • Nanoplastics
  • PVC pipe
  • Raman imaging

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