We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Size-dependent selectivity and quantification on detecting PS nanoplastics particles in a mixed solution with different diameters by using periodic Ag nanocavities SERS substrates with high sensitivity
AI summary Read the abstract
Researchers developed silver nanocavity-based surface-enhanced Raman scattering (SERS) substrates that selectively detect and quantify polystyrene nanoplastics by size in mixed solutions, achieving a detection limit of 0.001 mg/mL and enabling simultaneous characterization of nanoplastics with different diameters using a microfluidic chip.
Nanoplastic particles (NPPs) have attracted lots of attention due to their toxicity. In this study, a Surface-enhanced Raman scattering (SERS)-based category on selectivity and quantification detecting the polystyrene (PS) NPPs has been presented. Firstly, the size-dependent SERS relationship between the diameter of Ag nanocavities (AgNCAs) and the diameter of the PS NPPs is studied. By continuously dripping the PS NPPs on proposed AgNCAs substrates, AgNCAs exhibit excellent enrichment capability with a promoted limit of detection (LOD) of 0.001 mg/mL. Secondly, thermally evaporated Ag nanoparticles (AgNPs) as an enhancement layer are used to form the AgNPs/PS NPPs/AgNCAs sandwich structure with a SERS enhancement of 300 %. Thirdly, a SERS microfluidic chip constructed by integrating two kinds of pore size (87 nm and 356 nm) AgNCAs is fabricated to selectivity quantifying absolute concentration of the mixed PS NPPs with different diameters in a mixed solution. It shows excellent performance. This novel category proves a good method for identifying plastic nanoparticles and analyzing their size distribution existing in the surroundings indicating good practical applications.
More Papers Like This
Size-independent quantification of nanoplastics in various aqueous media using surfaced-enhanced Raman scattering
AI summary Read the abstract
Researchers developed a surface-enhanced Raman scattering method to quantify polystyrene nanoplastics of different sizes in aqueous samples, addressing the size-dependent signal variation that limits conventional SERS quantification. By dissolving nanoplastics in toluene and concentrating via the coffee-ring effect on gold-sputtered substrates, the method achieved size-independent quantification from 100 to 800 nm.
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.
Surface-enhanced raman scattering technique for nanoplastics detection
AI summary Read the abstract
This study developed an improved surface-enhanced Raman scattering (SERS) method for detecting and quantifying nanoplastics, overcoming the size-dependent limitations that previously hindered this technique. The method successfully quantified polystyrene nanoplastics ranging from 100 nm to 1 µm in size, offering a new analytical tool for environmental nanoplastic monitoring.
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.
One-step detection of nanoplastics in aquatic environments using a portable SERS chessboard substrate
AI summary Read the abstract
Researchers developed a portable surface-enhanced Raman scattering (SERS) detection platform that captures and identifies nanoplastics from water samples in under one minute using silver nanoparticle-enhanced filter substrates, achieving a detection limit of 0.001 mg/mL for polystyrene nanoplastics across sizes from 30 to 1000 nm.
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.