We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
A simple and efficient method for separation of low-density polyethylene films into different micro-sized groups for laboratory investigation
AI summary Read the abstract
A vacuum-based method was developed and tested for efficiently separating low-density polyethylene microplastic films from soil samples. The technique offers a practical, low-cost alternative to existing separation methods and improves the ability to process environmental samples for microplastic analysis.
Microplastics are abundant in both aquatic and terrestrial environments. While they have received much recent attention because of their effects on ecosystems, their true impact on natural environments remains difficult to assess because of the problems associated with processing them in the laboratory. In this study, we designed and implemented a new, vacuum-based method of separating different sizes of low-density polyethylene films. Using multiple sieve sizes, we achieved consistent recovery of the desired size fractions using this method. The vacuum suction (VS) system consisted of two differently sized cylindrical sieves of 500 μm (or 200 μm) and 65 μm, allowing film samples between 65 and -500 μm and 65-200 μm to be collected. The VS systems successfully separated microplastic film samples into small area ranges of 0.015-0.065 mm, and the film areas showed different distributions for each sample from the different VS systems. This system provided an easy, rapid, and low-labor means of processing different sizes of microplastics via an innovative method. Further research into the effects of microplastics on natural environments is critically needed, and the laboratory separation of different size fractions of microplastics facilitates such endeavors.
More Papers Like This
A simple method for the extraction and identification of light density microplastics from soil
AI summary Read the abstract
This study developed and validated a simple method for extracting and identifying low-density microplastics from sediment samples, offering a practical and cost-effective approach for environmental monitoring.
Density separation of soils as sample preparation for the determination of plastics
AI summary Read the abstract
This study developed and evaluated a density separation technique for extracting plastic particles from soil samples, enabling more reliable quantification of microplastics in terrestrial environments. Researchers found that optimizing the separation solution density improved recovery rates for a range of common polymer types.
Research Progress on Separation and Detection Methods of Microplastics in Soil Environment
AI summary Read the abstract
This review summarizes methods for separating and detecting microplastics in soil environments, identifying the most effective analytical approaches and highlighting the need for standardization to improve comparability across studies.
Extraction of Polyethylene and Polypropylene Microplastic from Agriculture Soil
AI summary Read the abstract
Researchers examined methods for extracting polyethylene and polypropylene microplastics from agricultural soil, investigating how microplastic concentrations affect soil properties and crop productivity while evaluating density separation and other extraction protocols to improve detection and quantification of plastic pollution in agroecosystems.
A Low-Cost Approach for Batch Separation, Identification and Quantification of Microplastics in Agriculture Soil
AI summary Read the abstract
This study developed a low-cost method to efficiently separate and identify microplastics from agricultural soil, particularly film-type fragments that come from mulching plastics. Having reliable, affordable analytical methods is essential for generating the large-scale data needed to understand how widespread agricultural microplastic contamination is and how it changes over time.
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.