Sewage sludges applied to agricultural soils are sources of microplastic pollution, however, little is known about the accumulation, persistence, or degradation of these microplastics over time. This is the first study to provide long-term, high temporal resolution quantitative evidence of microplastics in agricultural soils following sewage sludge application. The abundance and degradation of microplastics was assessed in soils sampled biennially from an experimental field over a 25-year period managed under an improved grassland regime following the application of five different sewage sludges. The sludges contained different microplastic compositions reflecting the different sources of the sludges. Microplastic abundance increased by 723-1445% following sewage sludge applications (p < 0.05) and remained constant over time (22 years and possibly beyond) (p > 0.05). All sludges predominantly added white/transparent microfibres to soil. Microfilms, microfibres, and fragments were most susceptible to degradation, potentially creating micro(nano)plastics. Of note was the discoloration of coloured microfibres, which may be environmentally hazardous due to the toxicity of textile dyes in soil ecosystems. We also found that plastic composition could be used to trace its source. This evidence is useful in informing regulation on sewage sludge use and management, and in assessing the fate and impact of microplastics in soil.
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http://dx.doi.org/10.1016/j.chemosphere.2025.144277 | DOI Listing |
Bioprocess Biosyst Eng
March 2025
Department of Mechanical Engineering, College of Engineering, Qassim University, 51452, Buraydah, Saudi Arabia.
This study presents the design and performance of microbial fuel cells (MFCs) utilizing sewage water as a renewable source for electricity generation. The proposed MFCs employ an air-cathode, single-chamber configuration that harnesses atmospheric oxygen as the electron acceptor, eliminating the need for consumable electron acceptor chemicals. Unlike traditional systems, no external microorganisms are introduced; instead, indigenous microbial communities present in sewage are utilized as efficient biocatalysts.
View Article and Find Full Text PDFEnviron Microbiol Rep
April 2025
School of Chemical and Metallurgical Engineering, University of the Witwatersrand, Johannesburg, South Africa.
This study investigated the suitability of readily available and naturally occurring sources of microorganisms (inoculum) to use for the cultivation of sulphate-reducing bacteria (SRB) for acid mine drainage (AMD) remediation. The selected inocula included AMD water (AMD), mud (MUD) and reed-bed mud (RM) from the AMD surrounds, mealworms (MW), cow dung (CD) and raw sewage sludge (RS). The suitability of the different inoculum sources was evaluated by comparing the SO reduction and sulfide (S) production rates at three different pHs.
View Article and Find Full Text PDFWater Environ Res
March 2025
School of Civil and Environmental Engineering, Cornell University, Ithaca, New York, USA.
This study reported a successful mainstream B-stage nitritation reactor with sludge granulation that incorporated a side-stream anaerobic reactor to treat municipal wastewater A-stage effluent. With influent COD/N and COD/P ratios of 2.60 and 27.
View Article and Find Full Text PDFHum Genomics
March 2025
Ginkgo Bioworks Inc., 27 Drydock Ave 8th Floor, Boston, MA, 02210, USA.
Pathogens know no borders, and the COVID-19 pandemic highlighted the urgent need for comparable, globally accessible pathogen data. This paper proposes a European wastewater pathogen monitoring network using aircraft and airport samples as a proof of concept for an effective cross-national surveillance system. The study emphasizes the importance of genomic data collection from strategic sites to produce high-value data for disease surveillance and epidemiological analysis.
View Article and Find Full Text PDFEnviron Monit Assess
March 2025
Civil Engineering Department, Harcourt Butler Technical University, Kanpur, 208002, UP, India.
Water pollution control agencies worldwide face the complex challenge of ensuring the efficient operation of sewage treatment plants (STPs) to protect water bodies receiving their effluent as well as for reuse. However, evaluating the performance of these plants is difficult due to multiple criteria involved. Further, while previous studies have focused on evaluating the efficiency of individual plants, it remains unclear how the effluent quality of STPs affect the water quality of receiving bodies without relying on the complex simulation-optimization models (such as waste load allocation) to understand the cause-and-effect relationships.
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