- Title
- Applying Raman imaging to capture and identify microplastics and nanoplastics in the garden
- Creator
- Luo, Yunlong; Gibson, Christopher T.; Chuah, Clarence; Tang, Youhong; Naidu, Ravi; Fang, Cheng
- Relation
- Journal of Hazardous Materials Vol. 426, no. 127788
- Publisher Link
- http://dx.doi.org/10.1016/j.jhazmat.2021.127788
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2022
- Description
- The characterisation of microplastics is still a challenge, and the challenge is even greater for nanoplastics, of which we only have a limited knowledge so far. Herewith we employ Raman imaging to directly visualise microplastics and nanoplastics which are released from the trimmer lines during lawn mowing. The signal-noise ratio of Raman imaging is significantly increased by generating an image from hundreds or thousands of Raman spectra, rather than from a single spectrum, and is further increased by combining with the logic-based and PCA-based algorithms. The increased signal-noise ratio enables us to capture and identify microplastics and particularly nanoplastics, including plastic fragments or shreds (with diameters / widths of 80 nm – 3 µm) and nanoparticles (with diameters of < 1000 nm) that are released during the mimicked mowing process. Using Raman imaging, we estimate that thousands of microplastics (0.1–5 mm), and billions of nanoplastics (< 1000 nm), are released per minute when a line trimmer is used to mow lawn. Overall, Raman imaging provides effective characterisation of the microplastics and is particularly suitable for nanoplastics.
- Subject
- Raman mapping; PCA-based algorithm; signal-noise ratio; microplastics; nanoplastics
- Identifier
- http://hdl.handle.net/1959.13/1464604
- Identifier
- uon:47050
- Identifier
- ISSN:0304-3894
- Language
- eng
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