We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Measurement of CeO2 Nanoparticles in Natural Waters Using a High Sensitivity, Single Particle ICP-MS
Summary
Using high-sensitivity mass spectrometry, researchers detected cerium oxide nanoparticles — used in catalytic converters and sunscreens — in Montreal rainwater and the St. Lawrence River. The study advances methods for detecting engineered nanoparticles in natural water at very low concentrations.
As the production and use of cerium oxide nanoparticles (CeO2 NPs) increases, so does the concern of the scientific community over their release into the environment. Single particle inductively coupled plasma mass spectrometry is emerging as one of the best techniques for NP detection and quantification; however, it is often limited by high size detection limits (SDL). To that end, a high sensitivity sector field ICP-MS (SF-ICP-MS) with microsecond dwell times (50 µs) was used to lower the SDL of CeO2 NPs to below 4.0 nm. Ag and Au NPs were also analyzed for reference. SF-ICP-MS was then used to detect CeO2 NPs in a Montreal rainwater at a concentration of (2.2 ± 0.1) × 108 L−1 with a mean diameter of 10.8 ± 0.2 nm; and in a St. Lawrence River water at a concentration of ((1.6 ± 0.3) × 109 L−1) with a higher mean diameter (21.9 ± 0.8 nm). SF-ICP-MS and single particle time of flight ICP-MS on Ce and La indicated that 36% of the Ce-containing NPs detected in Montreal rainwater were engineered Ce NPs.
Sign in to start a discussion.
More Papers Like This
Analysis of Ti- and Pb-based particles in the aqueous environment of Melbourne (Australia) via single particle ICP-MS
Researchers used a highly sensitive technique called single particle ICP-MS to detect and characterize titanium dioxide and lead-based nanoparticles across 63 water sampling locations in Melbourne, Australia, mapping their size, concentration, and distribution as a tool for tracking anthropogenic nanomaterial pollution in aquatic environments.
Two-stage hierarchical clustering for analysis and classification of mineral sunscreen and naturally occurring nanoparticles in river water using single-particle ICP-TOFMS
Single-particle ICP time-of-flight mass spectrometry combined with two-stage hierarchical clustering was used to detect and classify titanium- and zinc-containing nanoparticles from mineral sunscreen against natural particle backgrounds in river water. The method successfully distinguished anthropogenic sunscreen nanoparticles from naturally occurring particles without needing prior knowledge of particle composition.
Microplastic contaminants detection in aquatic environment by hydrophobic cerium oxide nanoparticles
Researchers developed a low-cost sensor using hydrophobic cerium oxide nanoparticles that can detect common microplastics like polyethylene and polypropylene in water. The sensor showed good sensitivity and reliability in laboratory tests, offering a more affordable alternative to expensive detection equipment. Better detection tools are critical because understanding how much microplastic is in our water supply is the first step toward reducing human exposure.
A Novel Strategy for the Detection and Quantification of Nanoplastics by Single Particle Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
A new analytical method was developed to detect and count individual nanoplastic particles in drinking water and river water using gold nanoparticles as tags and single particle ICP-MS for detection. The method can detect nanoplastics as small as 135 nm at environmentally relevant concentrations, providing a sensitive new tool for tracking nanoplastic contamination.
Counting Nanoplastics in Environmental Waters by Single Particle Inductively Coupled Plasma Mass Spectroscopy after Cloud-Point Extraction and In Situ Labeling of Gold Nanoparticles
Researchers developed a cloud-point extraction and in-situ gold nanoparticle labeling method combined with single particle ICP-MS to count nanoplastics down to 50 nm in environmental water samples, enabling quantification of nanoplastics previously undetectable by conventional methods.