We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Optimization and application of pretreatment method of microplastics detection in municipal solid waste landfills
AI summary Read the abstract
Researchers compared different pretreatment digestion methods for detecting microplastics in municipal solid waste landfill samples, establishing which protocols best remove organic matter without degrading the plastic particles themselves.
The landfill is one of the most important sources of microplastics (MPs). The pretreatment method is a precondition of microplastics study for the presence of complex substances in landfills. Therefore, it is essential to examine the impact of different pretreatment methods on the microplastics detection. A literature review and a comparison experiment on digestion solutions were performed to establish a comprehensive identification method for MPs in landfills. When exposed to of 30 % HO, minimal mass reduction of PE, PP and PET were 4.00 %, 3.00 % and 3.00 % respectively, and the least surface damage was observed in MPs, while exhibiting the most optimal peak value for infrared spectral characteristics. It is demonstrated that the effect of 30 % HO dissolution was superior compared to 10 % KOH and 65 % HNO. The method was subsequently utilized to investigate the distribution of MPs in a landfill. The dominant MPs were polyethylene (PE, 18.56-23.91 %), polyethylene terephthalate (PET, 8.80-18.66 %), polystyrene (PS, 10.31-18.09 %), and polypropylene (PP, 11.60-14.91 %). The comprehensive identification method of "NaCl density separation + 30 % HO digestion + NaI density separation + sampling microscope + Mirco-FTIR" is suitable for the detection of MPs in landfills.
More Papers Like This
Microplastics extraction from wastewater treatment plants: Two-step digestion pre-treatment and application
AI summary Read the abstract
Researchers developed an optimized two-step digestion method for extracting microplastics from wastewater treatment plant samples, achieving high recovery rates especially in organic-rich matrices like sludge, and applied it across multiple treatment stages.
Various Digestion Protocols Within Microplastic Sample Processing—Evaluating the Resistance of Different Synthetic Polymers and the Efficiency of Biogenic Organic Matter Destruction
AI summary Read the abstract
Multiple organic matter digestion protocols used in microplastic sample preparation were systematically evaluated for their effectiveness in removing biogenic material while preserving plastic particles. The review helps standardize sample processing by identifying which digestion chemicals and conditions work best for different environmental matrices.
Optimising sample preparation for FTIR-based microplastic analysis in wastewater and sludge samples: multiple digestions
AI summary Read the abstract
Researchers optimized sample digestion protocols for FTIR-based microplastic analysis in wastewater and sludge, finding that multiple sequential digestion steps improve removal of organic matter while minimizing polymer degradation.
Identifying a quick and efficient method of removing organic matter without damaging microplastic samples
AI summary Read the abstract
Researchers compared common organic-matter digestion protocols used before microplastic detection, finding significant variation in removal efficiency and polymer damage, and recommending optimized methods to avoid underestimating microplastic counts.
Optimised reduction of total solids and organic matter of sewage sludge matrix for an improved extraction of microplastics
AI summary Read the abstract
Researchers optimized chemical digestion protocols for extracting microplastics from sewage sludge, finding that maximizing reduction of total solids and organic carbon content significantly improved the reliability and efficiency of subsequent density-based microplastic separation.
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.