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Microplastics everywhere: A review on existing methods of extraction
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This review compiled and evaluated existing methods for extracting microplastics from environmental samples, including density separation, oil extraction, and other techniques, assessing their advantages and limitations across different environmental matrices.
Microplastics (MPs) are a ubiquitous pollutant. They take the form of fibers, fragments, microbeads, pellets, and foams, slowly choking up waterways, the atmosphere, and, eventually, the food chain. As the need for analysis and removal of these polymers takes on a role of utmost importance, it becomes imperative to know the methods by which these micro-pollutants can be extracted from the environmental matrices in which they appear. This review aims to compile the various methods of MP extraction available in literature. With general methods like density separation and the oil extraction protocol listed alongside research on process-based separation using ultrasound and fluid dynamics, there may be a way to create a standardized protocol for the mass extraction of MPs from any environmental matrix.
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Separation methods for extracting microplastics from complex solid matrices including soil, sediment, and sludge were systematically compared, evaluating density separation, oil extraction, electrostatic separation, and other approaches. The review provides guidance for choosing appropriate separation methods depending on matrix composition and target microplastic characteristics.
A Complete Guide to Extraction Methods of Microplastics from Complex Environmental Matrices
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This review provides a comprehensive guide to the methods used for extracting microplastics from complex environmental samples like soil, sediment, water, and biological tissue. Researchers compare the effectiveness, cost, and practicality of different extraction approaches. The study highlights the ongoing need for standardized, efficient methods so that microplastic pollution measurements from different studies can be reliably compared.
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