Imaging and Identification of Single Nanoplastic Particles and Agglomerates
Ambika Shorny, Fritz Steiner, Helmut Hörner, Sarah M. Skoff
TL;DR
The study tackles the challenge of quantifying nanoplastic pollution by enabling imaging and identification of single nanoplastic particles down to 100 nm using surface-enhanced Raman scattering (SERS). By employing a nano-patterned gold SERS substrate and a confocal microscope with dual detection paths, the authors achieve Raman signal enhancements exceeding $10^3$ for single particles and dramatically increase imaging speed via bandpass-filtered Raman imaging, achieving up to ~$10^7$-fold faster spatial detection than conventional Raman. They demonstrate that single 100 nm nanoplastics, as well as agglomerates, can be visualized with high contrast, while smaller particles show reduced signal-to-background due to illumination coverage. The approach provides a critical step toward sensitive, in-situ nanoplastic sensors in environmental monitoring, enabling precise detection independent of concentration and facilitating future sensor development.
Abstract
Currently the extent of nanoplastic in the environment can only be estimated by extrapolation from the plastic waste that can be detected. To be able to quantify the whole extent of the problem, detection methods have to be developed that can also identify particles that are smaller than 1 $μ$m. Here we employ surface-enhanced Raman scattering (SERS) to image and identify single nanoplastic particles down to 100 nm in size. We obtain an experimental enhancement factor of more than three orders of magnitude measured on a single plastic particle instead of averaging over a concentration. Our results contribute to the better understanding and employment of SERS for nanoparticle detection and present an important step for the development of future sensors.
