Issue 16, 2024

A green approach to nanoplastic detection: SERS with untreated filter paper for polystyrene nanoplastics

Abstract

Plastic pollution at the nanoscale continues to pose adverse effects on environmental sustainability and human health. However, the detection of nanoplastics (NPLs) remains challenging due to limitations in methodology and instrumentation. Herein, a “green approach” for surface-enhanced Raman spectroscopy (SERS) was exploited to detect polystyrene nanospheres (PSNSs) in water, employing untreated filter paper and a simple syringe-filtration set-up. This SERS protocol not only enabled the filtration of nano-sized PSNSs, which are smaller than the pore size of the ordinary filter paper, but also offered SERS enhancement by utilizing quasi-spherical-shaped silver nanoparticles (AgNPs) as the SERS-active substrate. The filtering of NPLs was accomplished by adding an aggregating agent to the nanoparticle mixture, which caused the aggregation of NPLs and AgNPs, resulting in a larger cluster and more hot spots for SERS detection. The optimal aggregating agent and its concentration, as well as the volume ratio between the AgNPs and NPLs, were also optimized. This SERS method successfully detected and quantified PSNSs of various sizes (i.e., 100, 300, 460, 600, and 800 nm) down to a limit of detection (LOD) of about 0.31 μg mL−1. The method was also validated against the presence of several interferents (i.e., salts, sugars, amino acids, and surfactants) and was proven practical, as evidenced by the detection of 800nm PSNSs in drinking and tap water (LODs of 1.47 and 1.55 μg mL−1, respectively).

Graphical abstract: A green approach to nanoplastic detection: SERS with untreated filter paper for polystyrene nanoplastics

Supplementary files

Article information

Article type
Paper
Submitted
19 May 2024
Accepted
29 Jun 2024
First published
02 Jul 2024

Analyst, 2024,149, 4158-4167

A green approach to nanoplastic detection: SERS with untreated filter paper for polystyrene nanoplastics

B. Chaisrikhwun, M. J. D. Balani, S. Ekgasit, Y. Xie, Y. Ozaki and P. Pienpinijtham, Analyst, 2024, 149, 4158 DOI: 10.1039/D4AN00702F

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