0
Article Tier 2 Sign in to save

Single particle ICP-TOFMS for the detection of micro-scale polystyrene and polyvinyl chloride from artificially aged bulk plastic

Journal of Analytical Atomic Spectrometry 2025 1 citation

AI summary Read the abstract

Researchers developed a new analytical method using single-particle mass spectrometry (SP ICP-TOFMS) to simultaneously detect polystyrene and PVC microplastics based on their carbon and chlorine content. The method was tested on artificially aged plastic samples, demonstrating it can distinguish between different polymer types at the individual particle level. Improving detection methods like this is essential for accurately tracking microplastics in complex environmental samples where multiple polymer types coexist.

Polymers

A SP ICP-TOFMS method dedicated to determine Cl− and C-based particles simultaneously was developed and used to analyse PVC and PS microplastics.

More Papers Like This

Article Tier 2

Direct Measurement of Microplastics by Carbon Detection via Single Particle ICP-TOFMS in Complex Aqueous Suspensions

AI summary Read the abstract

Researchers developed a single particle ICP-TOFMS method for directly measuring microplastics in complex aqueous suspensions by detecting carbon, successfully differentiating microplastic carbon from natural particles and dissolved organic carbon in environmental samples.

Article Tier 2

Direct Characterization of Halogen-Based Microplastics via Single-Event ICP-Mass Spectrometry in Negative-Ion Mode.

AI summary Read the abstract

Scientists have developed a more sensitive way to detect two common types of plastic particles, Teflon (PTFE) and PVC, that can be smaller than a speck of dust, using a specialized lab technique that spots chlorine and fluorine, the chemical "fingerprints" of these plastics. This matters because before we can figure out whether tiny plastic particles in our food, water, or bodies are harmful, we first need reliable tools to actually find and measure them, and this new method can detect particles even smaller than previous techniques could catch.

Article

Polyvinyl chloride microplastic detection by single particle inductively coupled plasma mass spectrometry for the characterization of model microplastics

AI summary Read the abstract

This study developed and validated a single particle inductively coupled plasma mass spectrometry (SP-ICP-MS) methodology to detect and characterize PVC micro- and nanoplastics, producing model particles suitable for risk assessment studies. SP-ICP-MS represents an important analytical advance for PVC microplastic characterization, as PVC is one of the most widely used and toxic plastics, and reliable model particle standards are essential for standardized toxicological testing.

Article Tier 2

Characterisation of microplastics and unicellular algae in seawater by targeting carbon via single particle and single cell ICP-MS

AI summary Read the abstract

Researchers used single particle and single cell ICP-MS to characterize microplastics and microalgae simultaneously in seawater by targeting carbon signals, demonstrating the technique as a rapid and sensitive tool for distinguishing plastic particles from biological material.

Article Tier 2

Complementary analysis of pristine, UV-aged and extracted microplastics using single particle ICP-MS and OF2i-Raman spectroscopy

AI summary Read the abstract

Researchers evaluated two emerging techniques for analyzing individual microplastic particles: single particle ICP-MS for measuring carbon mass per particle, and a novel optofluidic force induction Raman spectroscopy method for identifying polymer type. When applied together to study UV degradation of nylon-6 and polyethylene, the techniques provided complementary information linking physical size changes to molecular structural alterations. The study demonstrates how combining these methods can improve detection and characterization of environmentally aged microplastics.

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