We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Microplastics’ analysis in water: Easy handling of samples by a new Thermal Extraction Desorption-Gas Chromatography-Mass Spectrometry (TED-GC/MS) methodology
AI summary Read the abstract
Researchers developed a simplified Thermal Extraction Desorption-GC/MS method for microplastic identification in water samples that processes the entire filter in a tubular furnace rather than requiring subsampling for thermogravimetric analysis. The approach reduced sample handling steps, minimized contamination risk, and maintained polymer identification accuracy comparable to standard methods.
Thermal Extraction-Desorption (TED) using a thermobalance coupled to a gas chromatograph (GC) with mass spectrometer (MS) detector is an extended method for polymers identification in complex matrixes. A new TED-GC/MS method for microplastics identification is developed in this study, where the whole filter with solids collected from water is thermal treated in a furnace, instead of using a small portion in a Thermogravimetric analysis (TGA) device, avoiding sample handling. Pyrolyzing the whole filter in a tubular furnace has advantages with respect to the standard procedure of using a TGA with a small crucible in TED-GC/MS. The main advantage is the easy manipulation of the sample, since the filter does not have to be manipulated to extract the sample or cut some portions, avoiding sample losses during handling and ensuring that inhomogeneity on the filter surface is not a problem. Furthermore, there are no limitations on the weight of the sample beyond the adsorbent's ability to trap decomposition compounds without becoming saturated, so high intensity signals can be obtained in order to avoid confuse signals with noise, false negatives or values so close of the quantification limit.
More Papers Like This
Determination of microplastic mass content by thermal extraction desorption gas chromatography-mass spectrometry
AI summary Read the abstract
Researchers validated thermal extraction desorption gas chromatography-mass spectrometry (TED-GC-MS) as a rapid method for measuring the mass of microplastics in environmental samples. The technique can identify and quantify most common thermoplastic polymers in a single run, offering a faster alternative to labour-intensive visual counting methods.
Accelerated Determination of Microplastics in Environmental Samples Using Thermal Extraction Desorption-Gas Chromatography/Mass Spectrometry (TED-GC/MS)
AI summary Read the abstract
This application note describes a thermal extraction desorption gas chromatography/mass spectrometry (TED-GC/MS) method for rapidly quantifying microplastics in environmental samples. The method handles larger sample sizes, detects all particle sizes above the detection limit, and is well-suited to automation for higher throughput environmental monitoring.
Identification and Quantification of Microplastic in Sewage systems by TED-GC-MS
AI summary Read the abstract
Thermal extraction desorption gas chromatography-mass spectrometry (TED-GC-MS) was applied to identify and quantify microplastics in sewage systems, offering a more time-efficient and comparable approach than traditional microscopy methods.
Fast identification of microplastics using thermal extraction methods
AI summary Read the abstract
This conference presentation provided an overview of existing microplastic detection methods with a focus on thermo-analytical approaches such as pyrolysis-GC/MS and TED-GC/MS. Thermal extraction methods offer advantages in polymer identification and quantification without the need for visual pre-sorting of particles.
Optimization, performance, and application of a pyrolysis-GC/MS method for the identification of microplastics
AI summary Read the abstract
Researchers optimized a pyrolysis-GC/MS method for identifying and quantifying microplastics in environmental samples, improving the reliability of polymer identification especially for small particles that are difficult to classify visually. The improved method is particularly valuable for analyzing the smallest microplastic size fractions that dominate by number in marine environments.
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.