We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Rapid fingerprinting of source and environmental microplastics using direct analysis in real time-high resolution mass spectrometry
AI summary Read the abstract
Researchers developed a rapid fingerprinting method using differential mobility spectrometry to identify the chemical composition and potential sources of environmental microplastics. This non-destructive approach could help identify pollution sources and inform targeted cleanup strategies.
Microplastics are ubiquitous in the aquatic and terrestrial environment. To prevent further contamination, methods to determine their sources are needed. Techniques to quantify and characterize microplastics in the environment are still evolving for polymers and the additives and leachable substances embedded therein, which constitute the "chemical fingerprint" of an environmental microplastic. There is a critical need for analytical methods that yield such diagnostic information on environmental microplastics that enables identification of their composition and sources of pollution. This study reports on a novel approach for rapid fingerprinting of environmental microplastics and the screening of additives using Direct Analysis in Real Time (DART)-high resolution mass spectrometry. A variety of plastic samples were investigated, including virgin pre-production pellets, microbeads from personal care products, microplastics found in the aquatic environment, and synthetic fibers. The resulting mass spectra display ∼10,000 discrete peaks, corresponding to plastic additives released by thermal desorption and polymer degradation products generated by pyrolysis. These were used to characterize differences among plastic types, microplastic source materials, and environmental samples. Multivariate statistics and elemental composition analysis approaches were applied to analyze fingerprints from the mass spectra. This promising analytical approach is sensitive, (potentially) high-throughput, and can aid in the elucidation of possible sources of microplastics and perhaps eventually to the analysis of bulk environmental samples for plastics.
More Papers Like This
Chemical Fingerprinting of Synthetic Polymers via Direct Insertion Probe Mass Spectrometry
AI summary Read the abstract
Scientists developed a new way to quickly identify different types of plastic by heating small samples and analyzing the chemical "fingerprints" they release. This method could help researchers better detect microplastics - tiny plastic particles that are increasingly found in our food, water, and air. The technique may also improve plastic recycling by making it easier to sort different types of plastics.
Simultaneous Trace Identification and Quantification of Common Types of Microplastics in Environmental Samples by Pyrolysis-Gas Chromatography–Mass Spectrometry
AI summary Read the abstract
Researchers developed a method for simultaneous trace identification and quantification of common microplastic types in environmental samples, improving detection efficiency and enabling more accurate monitoring of multiple plastic polymers at once.
Rapid Single Particle Atmospheric Solids Analysis Probe-Mass Spectrometry for Multimodal Analysis of Microplastics
AI summary Read the abstract
Researchers developed an atmospheric solid analysis probe coupled to mass spectrometry for rapid chemical characterization of single microplastic particles, enabling polymer identification while remaining compatible with complementary imaging techniques for comprehensive microplastic analysis.
Rapid Monitoring Approach for Microplastics Using Portable Pyrolysis-Mass Spectrometry
AI summary Read the abstract
Researchers developed a rapid monitoring method for microplastics using a portable pyrolysis-mass spectrometry system that can identify polymer types and quantify particles smaller than 5 mm in the field without lengthy laboratory preparation. The approach offers a promising tool for fast, on-site microplastic surveillance in environmental samples.
Fast identification of microplastics in complex environmental samples by a thermal degradation method
AI summary Read the abstract
Researchers developed a fast identification method for microplastics in complex environmental samples using thermal analysis, offering a high-throughput alternative to spectroscopic techniques for polymer identification.
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.