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An improved methodology for microplastics analysis in sludge samples based on monitoring of organic matter oxidation
Summary
Researchers developed an improved method for analyzing microplastics in wastewater sludge by using colorimetry to monitor organic matter oxidation and a 3D-printed filtration piece for visual scanning and Raman spectroscopy. They found high levels of polyethylene and polypropylene across sludge treatment stages, with smaller microplastics predominating in certain waste streams. The methodology accelerates microplastic characterization in sludge samples by providing a reliable way to determine when organic interference has been sufficiently removed.
In this study a novel methodology to reduce the interference of organic matter in the analysis, counting, and characterization of microplastics (MPs) in the sludge line of a wastewater treatment plant (WWTP) is presented. By tracking easily monitored laboratory variables, it was determined that colorimetry effectively monitored the oxidation state of organic matter in samples, a necessary pretreatment step for subsequent sample handling. A 3D-printed piece, adapted for a filtration system, was utilized for the first time, facilitating subsequent visual scanning and Raman spectroscopy. The proposed methodology, including the oxidation time required to decrease the colour index of the sample to 1, was applied to six samples from various points in the WWTP sludge treatment line. In this way, colour tracking allowed us to determine if the organic matter was sufficiently oxidized so that it did not interfere with MPs analysis. Key findings include a high presence of polyethylene in all analysed samples and a significant presence of polypropylene. The study also noted a majority presence of light MPs, although this percentage decreases as the process progresses along the sludge line. Additionally, a distribution of smaller MPs (less than 200 µm) was observed in the primary sludge liquor stream, with particles smaller than 100 µm prevalent in concentrated mixed sludge, indicating fractionation. In conclusion, this methodology accelerates the characterization of MPs in wastewater sludge samples without compromising accuracy, contributing to the future standardization of this essential process in the growing field of MP research. • A method improving microplastics analysis in sludge treatment line is developed. • Colorimetry is effective for monitoring organic matter oxidation during pretreatment. • 3D-printed piece enhances visual scanning and Raman spectroscopy efficiency. • Method speeds microplastic characterization in sludge without losing accuracy.