0
Article Tier 2 Detection Methods Food & Water Nanoplastics Policy & Risk Sign in to save

Hydrogen Bonding-Based SERS Method for the Ultrahigh-Sensitive Detection of Nanoplastics in Water

AI summary Read the abstract

Researchers developed a hydrogen bond-driven surface-enhanced Raman spectroscopy (SERS) method for ultrasensitive detection of polystyrene nanoplastics in water, using cysteine-modified silver nanoparticles that leverage intermolecular hydrogen bonding between cysteine and polystyrene to create abundant hot spots. The method achieved detection limits as low as 50 ng/L across a particle size range of 50-800 nm, with recoveries of 86.7-106.6% in tap water spike-and-recovery experiments.

Polymers

Surface-enhanced Raman spectroscopy (SERS) has emerged as a promising analytical tool for environmental risk assessment in recent years. However, it is still a challenge to achieve ultrahigh sensitive detection of nanoplastics. Herein, we propose a hydrogen bond-driven strategy for the ultratrace detection of polystyrene (PS) nanoplastics. With cysteine (Cys) modified, the silver nanoparticle (Ag NP) surface background interference can be removed. Depending on the intermolecular hydrogen bond between Cys and PS, Ag NPs can be effectively attached to PS to provide abundant hot spots. Thus, highly sensitive detection can be achieved for PS in the range of 50-800 nm with a detection limit as low as 50 ng L-1 and a linear dynamic range spanning 2-3 orders of magnitude. In spike-and-recovery experiments utilizing tap water, standard PS demonstrates recoveries ranging from 86.7% to 106.6%. Moreover, PS isolated from packaging materials exhibited a mass concentration of 3 mg L-1 consistent with commercial nanoparticle tracking analysis. The proposed strategy demonstrates ultralow detection limits, expected accuracy, and a broad linear range, thereby providing a novel analytical framework for monitoring nanoplastics contamination in water.

More Papers Like This

Article Tier 2

Hydrogen Bonding-BasedSERS Method for the Ultrahigh-SensitiveDetection of Nanoplastics in Water

AI summary Read the abstract

Researchers developed a hydrogen bonding-based SERS strategy using cysteine-modified silver nanoparticles for ultratrace detection of polystyrene nanoplastics in water, achieving detection limits of 50 ng/L and a linear dynamic range spanning 2-3 orders of magnitude across particle sizes of 50-800 nm. Spike-and-recovery experiments in tap water yielded recoveries of 86.7-106.6%, confirming the method's applicability to real water samples.

Article Tier 2

Breaking the Size Barrier: SERS-Based Ultrasensitive Detection and Quantification of Polystyrene Plastics in Real Water Samples

AI summary Read the abstract

Researchers developed a surface-enhanced Raman spectroscopy (SERS) method capable of detecting and quantifying polystyrene plastic particles of various sizes — including nanoplastics — in real environmental water samples at ultrasensitive concentrations.

Article Tier 2

Identification of polystyrene nanoplastics using surface enhanced Raman spectroscopy

AI summary Read the abstract

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.

Article Tier 2

Hydrophobicity-driven self-assembly of nanoplastics and silver nanoparticles for the detection of polystyrene microspheres using surface enhanced Raman spectroscopy

AI summary Read the abstract

Researchers developed a highly sensitive method for detecting nanoplastic particles using surface-enhanced Raman spectroscopy (SERS) on a super-hydrophobic (water-repelling) surface that concentrates the particles into a small spot. The technique detected polystyrene nanoplastics at concentrations as low as 0.5 mg/L, far below what conventional approaches can achieve. Better detection tools for nanoplastics are urgently needed since these ultra-small particles are the hardest to find yet potentially the most biologically hazardous fraction of plastic pollution.

Article Tier 2

Efficient silver-based hybrid nano-assemblies for polystyrene nanoparticles SERS detection

AI summary Read the abstract

Researchers built nanoscale silver-silicon hybrid platforms that can detect polystyrene nanoplastics using a technique called surface-enhanced Raman spectroscopy. The platforms achieved high sensitivity with detection limits in the microgram-per-milliliter range. The technology offers a promising approach for identifying nanoscale plastic particles that are too small for conventional detection methods.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper