We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Optimising Microplastic Fibre Extraction from Sediments: Tailoring a Density-Separation Procedure for Enhanced Recovery and Reliability
No summary available — this paper's abstract is not included in the open metadata provided by the publisher. Learn why →
More Papers Like This
Optimization of a Sequential Method for Microplastic Extraction from Environmental Samples
AI summary Read the abstract
Researchers optimized a sequential density separation method using water followed by sodium polytungstate for extracting microplastics from environmental soil samples, achieving higher recovery rates than conventional single-step approaches—particularly for small and high-density particles that are typically underestimated. Improving extraction accuracy is essential for generating reliable contamination data, as underestimation of microplastic loads in soil can obscure the true scale of terrestrial pollution.
Oil Extraction as Separation Method for Microplastic in Sediment Samples
AI summary Read the abstract
An oil extraction technique efficiently separates microplastics from sediment samples by exploiting the hydrophobic affinity of plastics for oil, offering a simpler alternative to density separation methods. Reliable sediment extraction methods are essential for understanding microplastic burial and accumulation in marine and terrestrial environments.
Comparative Analysis of Methods for Separating Microplastics from Aquatic Environments
AI summary Read the abstract
This study performs a comparative analysis of methods used to separate microplastics from aquatic environments, evaluating their relative effectiveness and limitations. Standardizing extraction and separation protocols is critical for producing comparable, reliable data across microplastic studies worldwide.
Advanced Techniques for Microplastic Collection, Separation, and Identification in Environmental Samples
AI summary Read the abstract
This chapter reviewed advanced collection, separation, and identification techniques for microplastics in environmental samples, covering methods from field sampling to spectroscopic analysis. Robust detection methodology is foundational to the entire field—without standardized, accurate measurement tools, it is impossible to reliably assess human exposure levels or evaluate the effectiveness of remediation strategies.
Current Methods and Prospects for Sampling, Separation, Detection, and Removal of Microplastics in Different Environmental Media
AI summary Read the abstract
This systematic review compares sampling, separation, detection, and removal methods for microplastics across aquatic, soil, and atmospheric media, evaluating the advantages and limitations of each approach and identifying gaps that hinder cross-study comparisons. Standardizing these methods is a foundational requirement for generating reliable data on microplastic exposure levels in the environment and in humans, which is necessary before meaningful regulatory or health guidelines can be established.
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.