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Rapid detection of nanoplastics down to 20 nm in water by surface-enhanced raman spectroscopy

Journal of Hazardous Materials 2023 82 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Xuejun Ruan, Lifang Xie, Juan Liu, Qiuyue Ge, Yangyang Liu, Kejian Li, Wenbo You, Tingting Huang, Liwu Zhang

Summary

Researchers developed a silver nanoparticle-based surface-enhanced Raman spectroscopy method that can detect nanoplastics as small as 20 nanometers in water samples. By leveraging the natural aggregation between silver nanoparticles and plastic particles, they significantly amplified the detection signal without complex sample preparation. The technique offers a rapid and practical approach for identifying nanoplastic contamination in environmental water samples.

Plastic pollution represents a pressing global environmental issue, with microplastics (MPs) and nanoplastics (NPs) being ubiquitously found in both food and the environment. However, the investigation of NPs has been hampered by limited detection technologies, necessitating the development of advanced techniques. This study introduces a sol-based surface-enhanced Raman spectroscopy (SERS) approach for the swift detection of MPs and NPs in aqueous environment. By leveraging the aggregation effect between silver nanoparticles (Ag nanoparticles) and plastic particles, the plastic Raman signals is significantly enhanced, effectively lowering the detection limit. Utilizing Ag nanoparticles, plastic particles as small as 20 nm were detected in liquid samples, with a detection limit of 0.0005%. With the developed method, nanoplastic particles in seafood packaging samples were successfully tested, with concentration found to be at μg/L level. This method offers a rapid, economical, and convenient means of detecting and identifying MPs and NPs. The sensitivity of the method allows for capturing plastic signals within 2 min, making it valuable for aquatic environment contamination detection. SERS technology also holds promise for rapid plastic solution detection, potentially becoming a fast detection method for food safety.

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