We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Data from: Extraction and identification of a wide range of microplastic polymers in soil and compost
AI summary Read the abstract
This is a dataset supporting a study on extraction and identification methods for a wide range of microplastic polymers from soil and compost. It contains recovery data from optimized extraction protocols, addressing the challenge of standardizing microplastic analysis in complex soil matrices.
Microplastic (MP) pollution is globally widespread, however their presence in soil systems is poorly understood due to complexity of soil and lack of standardised extraction methods. Datasets provided contain data from optimisation (recoveries) of MPs extraction protocol from soil and compost based on olive oil and density separation using zinc chloride, in case of low-density polyethylene and polyethylene terephthalate. Density separation was further used to extract five microplastic polymers (PET, PS, PE, PP and PVC), added to soil and compost at different concentrations, which is also included in the dataset. Additionally, identification data of extracted MPs from spiked soil and compost samples.
More Papers Like This
Data from: Extraction and identification of a wide range of microplastic polymers in soil and compost
AI summary Read the abstract
This is a dataset supporting a study on extraction and identification methods for a wide range of microplastic polymers from soil and compost. It contains recovery data from optimized extraction protocols, addressing the challenge of standardizing microplastic analysis in complex soil matrices.
Extraction and Identification of a Wide Range of Microplastic Polymers in Soil and Compost
AI summary Read the abstract
Researchers compared and optimized two microplastic extraction methods for soil and compost, finding that density separation combined with chemical digestion was effective across a wide range of polymer types, providing a more reliable protocol for terrestrial microplastic analysis.
Advances in the analysis of relevant microplastic types in agricultural soils
AI summary Read the abstract
Researchers developed an optimized soil purification protocol for extracting and identifying microplastic particles from agricultural soils, systematically testing and combining multiple extraction and purification steps to improve the accuracy of polymer identification across different soil types.
An efficient, cost-effective, and environmentally friendly protocol for extracting microplastics from soil samples
AI summary Read the abstract
Researchers developed an efficient, cost-effective, and environmentally friendly protocol for extracting microplastics from soil samples, addressing the lack of standardized methods and evaluating extraction performance across different soil matrices.
Advances in the analysis of relevant microplastic types in agricultural soils
AI summary Read the abstract
Researchers developed and validated an improved soil purification protocol for extracting microplastics from agricultural soils, based on systematic testing across different soil types to efficiently isolate plastic particles for polymer identification. The method built on prior work by Moller et al. (2022) and addressed the challenge that soil remains one of the most difficult matrices for microplastic analysis.
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.