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A gold nanoparticle doped flexible substrate for microplastics SERS detection

Physical Chemistry Chemical Physics 2022 51 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 55 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Dewen Xu, Wei Su, Hanwen Lu, Yinlong Luo, Tianan Yi, Jian Wu, Hong Wu, Cheng Yin, Bingyan Chen

Summary

Researchers developed a gold nanoparticle-doped filter paper as a flexible substrate for detecting microplastics using surface-enhanced Raman scattering. The method achieved a minimum detectable concentration of 0.1 grams per liter for PET in water and was successfully validated by detecting microplastics in tap water and pond water samples.

Polymers

Due to overuse of plastic products, decomposed microplastics (MPs) are widely spread in aquatic ecosystems, and will cause irreparable harm to the human body through the food chain. Traditional MP detection methods require cumbersome sample pre-processing procedures and complex instruments, so there is an urgent demand to develop methods to achieve simple on-site detection. Herein, a simple, sensitive, accurate, and stable MP detection method based on surface-enhanced Raman scattering (SERS) is investigated. Considering the hydrophobic problems of MPs, gold nanoparticle (AuNP) doped filter paper as a flexible SERS substrate is applied to capture MPs in the fiber pores. Benefitting from the electromagnetic (EM) hot spots generated by AuNPs, the Raman signal of MPs can be effectively enhanced. Meanwhile, the flexible SERS substrate has good sensitivity to a minimum detectable concentration of 0.1 g L-1 for polyethylene terephthalate (PET) in water, and the maximum enhancement factor (EF) can reach 360.5. Furthermore, the practicability of the developed method has been proved by the successful detection of MPs in tap water and pond water. This research provides an easy process, high sensitivity, and good reproducibility method for MP detection.

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