TY - JOUR
T1 - Characterising microplastics in shower wastewater with Raman imaging
AU - Luo, Yunlong
AU - Gibson, Christopher T.
AU - Tang, Youhong
AU - Naidu, Ravi
AU - Fang, Cheng
PY - 2022/3/10
Y1 - 2022/3/10
N2 - Microplastics can potentially be released in our daily activities, such as via our showers, as our clothes are made of plastic fibres, and/or cotton fibres. The challenge is how to characterise these microplastics in shower debris. Herewith we employ Raman imaging to directly visualise the microplastics collected from shower wastewater. Raman can map an image from the scanning array that contains a matrix of thousands of spectra, featuring a considerably higher signal-noise ratio than that from a single spectrum. The increased signal-noise ratio reduces the complexity of sample preparation. Consequently, after the shower debris was sampled and washed, Raman imaging allowed us to distinguish the microplastic fibres from the background including cotton fibres and dirt aggregates. Interestingly, by adjusting the laser power intensity, the scanning process enabled simultaneous in-situ bleaching of the colorants formulated in the textile fibres and collection of signals. The disadvantage of Raman imaging such as the short focusing/working distance is also presented and discussed. Overall, the Raman imaging can extract meaningful information from the complex shower debris samples to enable analysis of microplastics.
AB - Microplastics can potentially be released in our daily activities, such as via our showers, as our clothes are made of plastic fibres, and/or cotton fibres. The challenge is how to characterise these microplastics in shower debris. Herewith we employ Raman imaging to directly visualise the microplastics collected from shower wastewater. Raman can map an image from the scanning array that contains a matrix of thousands of spectra, featuring a considerably higher signal-noise ratio than that from a single spectrum. The increased signal-noise ratio reduces the complexity of sample preparation. Consequently, after the shower debris was sampled and washed, Raman imaging allowed us to distinguish the microplastic fibres from the background including cotton fibres and dirt aggregates. Interestingly, by adjusting the laser power intensity, the scanning process enabled simultaneous in-situ bleaching of the colorants formulated in the textile fibres and collection of signals. The disadvantage of Raman imaging such as the short focusing/working distance is also presented and discussed. Overall, the Raman imaging can extract meaningful information from the complex shower debris samples to enable analysis of microplastics.
KW - Algorithm
KW - Colorant
KW - Cotton fibre
KW - Raman imaging
KW - Synthetic fibre
UR - http://www.scopus.com/inward/record.url?scp=85121272100&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2021.152409
DO - 10.1016/j.scitotenv.2021.152409
M3 - Article
C2 - 34923349
AN - SCOPUS:85121272100
SN - 0048-9697
VL - 811
JO - Science of The Total Environment
JF - Science of The Total Environment
M1 - 152409
ER -