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Raman imaging for the analysis of silicone microplastics and nanoplastics released from a kitchen sealant

Cheng Fang*, Yunlong Luo, R. Naidu

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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Abstract

Plastic products are used ubiquitously and can potentially release microplastics and nanoplastics into the environment, for example, products such as the silicone sealant used in kitchens. It is important to develop an effective method to monitor these emerging contaminants, as reported herein. By using advanced Raman imaging to characterize microplastics and nanoplastics from hundreds of spectra in a scanning spectrum matrix and not from a single spectrum or peak, the signal-to-noise ratio can be significantly increased, from a statistical point of view. The diffraction of the laser spot usually constrains the imaging resolution (such as at ∼300 nm), which is also pushed to the limit in this report by shrinking the scanning pixel size down to ∼50 nm to capture and image small nanoplastics effectively. To this end, image reconstruction is developed to successfully pick up the meaningful Raman signal and intentionally avoid the noise. The results indicate that the silicone sealant in a kitchen can release a significant amount of microplastics and nanoplastics. Overall, advanced Raman imaging can be employed to characterize the microplastics and even nanoplastics that are smaller than the diffraction limit of the laser via Raman imaging and image reconstruction toward deconvolution.
Original languageEnglish
Article number1165523
Pages (from-to)1-10
Number of pages10
JournalFrontiers in Chemistry
Volume11
Early online date17 May 2023
DOIs
Publication statusPublished - 2023
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • silicone sealant
  • microplastic
  • nanoplastic
  • Raman imaging
  • Gaussian surface
  • image reconstruction

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