We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Detection of Silver Nanoparticles in Seawater Using Surface-Enhanced Raman Scattering
Summary
Researchers developed a surface-enhanced Raman scattering (SERS) detection strategy for silver nanoparticles in seawater, achieving sensitive identification of PVP-coated AgNPs at environmentally relevant concentrations.
Nanomaterials significantly contribute to the development of new solutions to improve consumer products properties. Silver nanoparticles (AgNPs) are one of the most used, and as human exposure to such NPs increases, there is a growing need for analytical methods to identify and quantify nanoparticles present in the environment. Here we designed a detection strategy for AgNPs in seawater using surface-enhanced Raman Scattering (SERS). Three commercial AgNPs coated with polyvinylpyrrolidone (PVP) were used to determine the relative impact of size (PVP-15nmAgNPs and PVP-100nmAgNPs) and aggregation degree (predefined Ag aggregates, PVP-50-80nmAgNPs) on the SERS-based detection method. The study of colloidal stability and dissolution of selected AgNPs into seawater was carried out by dynamic light scattering and UV-vis spectroscopy. We showed that PVP-15nmAgNPs and PVP-100nmAgNPs remained colloidally stable, while PVP-50-80nmAgNPs formed bigger aggregates. We demonstrated that the SERS-based method developed here have the capacity to detect and quantify single and aggregates of AgNPs in seawater. The size had almost no effect on the detection limit (2.15 ± 1.22 mg/L for PVP-15nmAgNPs vs. 1.51 ± 0.71 mg/L for PVP-100nmAgNPs), while aggregation caused an increase of 2.9-fold (6.08 ± 1.21 mg/L). Our results demonstrate the importance of understanding NPs transformation in seawater since this can influence the detection method performance.
Sign in to start a discussion.
More Papers Like This
Identification of polystyrene nanoplastics using surface enhanced Raman spectroscopy
Researchers demonstrated for the first time that surface-enhanced Raman spectroscopy (SERS) using silver nanoparticles can identify polystyrene nanoplastics as small as 50 nm in real water samples, providing a rapid detection method that bypasses conventional sample preparation and could advance environmental monitoring of nanoplastics previously invisible to standard analytical techniques.
Rapid detection of nanoplastics down to 20 nm in water by surface-enhanced raman spectroscopy
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.
Hetero-charge-based surface enhanced Raman spectroscopy: An in situ rapid detection strategy for real marine nanoplastics
Researchers developed an in situ SERS detection method using oppositely charged gold nanoparticles to capture and identify nanoplastics directly in seawater without filtration or drying, achieving a detection limit of 0.1 µg/mL in artificial seawater and successfully identifying polystyrene in a real marine sample.
Surface enhanced raman spectroscopy based sensitive and onsite detection of microplastics in water utilizing silver nanoparticles and nanodendrites
This study developed a surface-enhanced Raman spectroscopy method using silver nanoparticles and nanodendrites for rapid, on-site detection of microplastics in water, achieving sensitive polymer identification without extensive sample preparation.
Advances in Surface‐Enhanced Raman Spectroscopy for Detection of Aquatic Environmental Pollutants
This review examines surface-enhanced Raman scattering (SERS) as a technique for detecting aquatic pollutants, highlighting its exceptional sensitivity and molecular fingerprinting capability for identifying microplastics and other contaminants at trace concentrations.