Atominstitut, Technische Universität Wien, Stadionallee 2, Vienna, 1020, Austria.
Sci Rep. 2023 Jun 24;13(1):10275. doi: 10.1038/s41598-023-37290-y.
Pollution by nanoplastic is a growing environmental and health concern. Currently the extent of nanoplastic in the environment can only be cumbersomely and indirectly estimated but not measured. To be able to quantify the extent of the problem, detection methods that can identify nanoplastic particles that are smaller than 1 [Formula: see text]m are critically needed. Here, we employ surface-enhanced Raman scattering (SERS) to image and identify single nanoplastic particles down to 100 nm in size. We can differentiate between single particles and agglomerates and our method allows an improvement in detection speed of [Formula: see text] compared to state-of-the art surface-enhanced Raman imaging. Being able to resolve single particles allows to measure the SERS enhancement factor on individual nanoplastic particles instead of averaging over a concentration without spatial information. Our results thus contribute to the better understanding and employment of SERS for nanoplastic detection and present an important step for the development of future sensors.
纳米塑料污染是一个日益严重的环境和健康问题。目前,只能繁琐且间接估计环境中纳米塑料的程度,而无法直接测量。为了能够量化问题的程度,迫切需要能够识别小于 1 [Formula: see text]m 的纳米塑料颗粒的检测方法。在这里,我们利用表面增强拉曼散射(SERS)来成像和识别单个尺寸小至 100nm 的纳米塑料颗粒。我们可以区分单个颗粒和聚集体,并且我们的方法允许与最先进的表面增强拉曼成像相比,检测速度提高[Formula: see text]。能够分辨单个颗粒可以在没有空间信息的情况下,在浓度上进行平均,而是在个体纳米塑料颗粒上测量 SERS 增强因子。因此,我们的结果有助于更好地理解和利用 SERS 进行纳米塑料检测,并为未来传感器的发展迈出了重要一步。